Strategic Plan for Statistical Development (2005-2009)

2005-2009 BPS STRATEGIC PLAN FORSTATISTICAL DEVELOPMENT

ISBN : 979-724-458-XPublication No. : 02110.0601BPS Catalogue : 1153Book Size : 16 cm x 24 cmTotal Pages : 55 pages

Manuscript :Division of Planning

Cover Design :Aank

Published by :BPS—Statistics Indonesia

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May be cited with reference to the source

STATISTICS INDONESIAREGULATION OF DIRECTOR GENERAL OF THE BPS

NUMBER 196 YEAR 2006ON

STRATEGIC PLAN FOR STATISTICAL DEVELOPMENTOF BPS-STATISTICS INDONESIA YEARS 2005-2009

DIRECTOR GENERAL OF THE BPS-STATISTICS INDONESIA

Considering:

In view of:

a. that pursuant to the provision of the PresidentialRegulation Number 7 Year 2005 on Medium-Term National Development Plan Years 2004-2009, stating that eachgovernment agency is obligated to prepare a strategic plan consisting of vision, mission, objectives, strategies, policy,program, and principal development activities for the next five years pursuant to the tasks and functions of theagency concerned;

b. that to carry out the Presidential Regulation as referred toin point a, it is necessary to have statistical developmentprograms which are compiled in a strategic developmentplan in the statistical area, so it will be able to fulfill therequirement for quality statistical data which are complete, accurate, relevant, up to date, and sustainable as the basic reference in the national development plan;

c. that pursuant to the consideration as referred to in pointsa and b, it is necessary to stipulate the Regulation ofDirector General of the BPS-Statistics Indonesia onStatistical Development Strategic Plan of the BPS-StatisticsIndonesia Years 2005-2009;

1. Law Number 16 Year 1997 on Statistics (State Gazette Year1997 Number 39, Supplement to State Gazette Number3683);

2. Law Number 25 Year 2000 on National DevelopmentProgram Years 2000-2004 (State Gazette Year 2000Number 206);

3. Government Regulation Number 51 Year 1999 onStatistical Implementation (State Gazette Year 1999Number 96, Supplement to State Gazette Number 3854);

4. Presidential Decree Number 103 Year 2001 on Position,Tasks, Functions, Authority, Organizational Structure, andWork Procedures of Non Departmental GovernmentAgencies as has been amended several times, lastlyamended by virtue of Presidential Regulation Number 64Year 2005;

5. Presidential Regulation Number 7 Year 2005 on Medium-Range National Development Plan Years 2004-2009;

6. Decree of Director General of the BPS-Statistics IndonesiaNumber 001 Year 2001 on the Organization and WorkProcedures of the BPS-Statistics Indonesia;

HAS DECIDED:To stipulate: THE REGULATION OF DIRECTOR GENERAL OF THE BPS-

STATISTICS INDONESIA ON STRATEGIC PLAN FORSTATISTICAL DEVELOPMENT OF BPS-STATISTICSINDONESIA YEARS 2005-2009.

Article 1The Strategic Plan for Statistical Development of BPS-Statistics Indonesia Years2005-2009, hereinafter shall be referred to as BPS Strategic Plan Years 2005-2009,consisting of general overview of the national statistical situation, targets,strategies, statistical development policy, principal programs, and also monitoringand evaluating statistical performance.

Article 2BPS Strategic Plan for Years 2005-2009 is prepared to achieve the objectives andthe targets in the National Medium-Term Development Plan (RPJM) Years 2004-2009.

Article 3BPS Strategic Plan for Years 2005-2009 is used as a basis and guideline inpreparing the Government Work Plan (RKP) in statistical sector during the periodof 2005-2009.

Article 4The formulation of the Government Work Plan (RKP) in statistical sector isconducted by paying attention to the possibility of changes and developmentwhich need adjustment by due observance of the National RPJM years 2004-2009.

Article 5BPS Strategic Plan for Years 2005-2009 as stated in the Attachment to thisRegulation.

Article 6This decree shall take effect on the date of stipulation.

Stipulated in JakartaOn July 1, 2006

DIRECTOR GENERAL OF THE BPS-STATISTICS INDONESIA

Dr. RUSMAN HERIAWAN NIP. 340003999

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ABBREVIATIONS AND ACRONYMS

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AC Air ConditionerADB Asian Development BankAPK Gross Enrolment RateAPM Net Enrolment RateAPS School Participation RateATK StationeryAusAID Australian Agency for

International Development Bappenas National Development

Planning BoardBI Bank of IndonesiaBKPM Investment Coordination

BoardBPPT Agency for Research and

Application of TechnologyBPS Statistics IndonesiaBS Census Block BUMD Region-owned EnterpriseBUMN State-owned EnterpriseCCI Cost of Construction IndexCIE Communication, Information,

and EducationDAU General Allocation FundDDA Region in FiguresDiklat Education and TrainingDitjenHAKI

Directorate General forIntellectual Property Rights

DPR RI House of Representatives of Republic of Indonesia

FMS Statistical Community ForumFoF Flow of FundGCF Gross Capital Formation

GDI Gender Development IndexGDP Gross Domestic ProductGEM Gender Empowerment IndexGIS Geographic Information

SystemsGKG Dry PaddyGRDP Gross Regional Domestic

ProductGTZ Gesellsehaft fur Technische

ZusammenarbeitHDI Human Development IndexHPH Forest Concession LicenseHPI Human Poverty IndexHR Human resourcesHSPK Project Unit PriceHSU General Unit PriceHTI Industrial Timber EstateICOR Incremental Capital Output

RatioICT Information &

Communication TechnologyIHPB Wholesale Price Index

IKKR Small and Household Industry

ILOR Incremental Labor Output Ratio

Interdep Inter DepartmentI-O Input-OutputJICA Japan International

Cooperation AgencyKCI Sampling FramesKCI-RT Sampling Frame for

HouseholdKCI-TAN Sampling Frame for Agriculture

researchKCI-UKM Sampling Frame for Small and

Medium EnterprisesKCI-UMB Sampling Frame for Medium

and Large Scale BusinessKeppres Presidential DecreeKHL Decent Living NeedsKILM Key Indicators of the Labor

MarketKKN Corruption, Collusion and

NepotismKSK Sub-district Statistical

CoordinatorKTA Violence against ChildrenKTP Violence against Women LAKIP Accountability Report on

Government Institution Performance

LIPI National Institute of ScienceLPNRT Non-profit institutionsMDGs Millennium Development

GoalsMFD Village Master FileMIS Management Information

SystemNEM Grade point average from

final school examNRR Net Reproductive RateNSS National Statistics SystemNTP Farmer Terms of TradeP2K2 State and Governmental

Leadership Management Program

P2S Statistics Improvement and Development Program

PD Data ProcessingPES Post Enumeration SurveyPJAR The trustee of routine budget

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ABBREVIATIONS AND ACRONYMS

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PMKS Socially Marginalized GroupPodes Village Potential PSE Social and Economy

Statistical RegistrationPSPAN Infrastructure Improvement

ProgramPusdiklat Education and training

CenterRENJA-KL Working plan in a ministry or

a state institutionRenstra Strategic planRI Republic of IndonesiaRKP Government Annual Work

PlanRLS Mean Years SchoolingRPH SlaughterhouseRPJM National Medium-Term

Development PlanRT HouseholdSakernas National Labor Force Survey SAM Social Accounting MatrixSBH Living cost surveySD Elementary schoolSDA Natural resourcesSDKI Indonesia Demographic and

Health Survey IndonesiaSE Economic Census SE06 2006 Economic CensusSHPKP Village Producer’s Price

SurveySIG-S Geographic Information

System – Statistics SIM Management Information

SystemSIMBek Management Information

System – Logistic SIMKeu Management Information

System – FinanceSIMPeg Management Information

System – PersonnelSiRusa The statistical clearing house

systemSIS Statistics Information System SK Decree LetterSKSPJ Special Survey for Trade and

Service Sector SKTIR Special Survey for Household

Saving and Investment SLS Community UnitSLTA Senior High School

SLTP Junior High School

SNA Social National AccountingSNNI Indonesia National Account

SystemSP Population Census SPPB Supply and Utility of Goods

SurveySSN Nasional Statistics SystemST Agricultural CensusST03 2003 Agricultural Census

STIS Institute of StatisticsSTP Sewage Treatment PlantSupas Inter-census Population

SurveySusenas National Socio-Economic

SurveySusi Integrated Enterprises Survey

TFR Total Fertility RateTOT Training of TrainersTPI Fish Auction CenterUAN National Final Exam (see:

NEM)UMKM Micro, small and medium

enterprisesUNDP United Nations Development

ProgramUN-ESCAP United Nations Economic and

Social Commission for Asia and the Pacific

UNFPA United Nations Population Fund

UNICEF United Nations Children’s Fund

UNSIAP United Nations Statistical Institute for Asia and the Pacific

USAID United States Agency for International Development

UU Law

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P R E F A C E

The target of an activity can be achieved effectively and efficiently, only if it is formulated with consideration of its dynamic environment. For a government agency, which is a large organization with a variety of activities, formulating a comprehensive and integrated strategic plan (Renstra) is not an easy job. The Renstra is a five-year plan, which is formulated with consideration of various conditions, especially related to advantages, opportunities, constraints and challenges of the executing agency. The Renstra is expected to be utilized as a guideline and direction in the efforts to achieve the targets of national development goals.

With the formulation of 2005-2009 BPS Renstra, offices at central and regional levels have a general reference for the direction of statistical development in the future. This guideline, of course, still needs be elaborated into a detailed annual plan, so that the priority of BPS activities and programs becomes more concrete. Thus, other stakeholders will also know what can be expected from BPS, specifically with regards to their data and information needs.

This Renstra will be meaningful only if it is followed up by thorough implementation. Meaning that, all BPS staff and partners, both at central and regional levels, are responsible for producing quality statistics in their respective sectors. Quality statistics require honest officers who are adept at dealing with various challenges. The monotonous job in statistics must be faced with persistence and ability to see their benefits. In other words, commitment, motivation and persistence are needed to produce quality statistics.

Commitment, motivation, and persistence will arise from the success of self actualization in this challenging profession. In reality, BPS outputs are increasingly in demand for monitoring and evaluation of development programs, so that indirectly, the results of BPS’ work also support the efforts to improve social welfare. In this regard, the commitment, motivation and persistence of BPS staff and partners need to be continuously evaluated and improved. This Renstra will facilitate the evaluation of the direction and performance of BPS, in particular, and of national statistics activities, in general.

A team of BPS experts prepared the 2005-2009 BPS Renstra. The first draft was consulted with all BPS directorates, and with technical

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assistance from the World Bank, it was also discussed in a seminar attended by the National Development Planning Agency/ Bappenas, Members of the House of Representatives/ DPR-RI, as well as other government agencies, universities, and international organizations. This final version of the Renstra has incorporated various inputs from the consultations and improvements upon earlier drafts. We would like to express our appreciation and thanks to various parties for their active participation in preparing this document.

We hope that this document will be beneficial to all interested parties.

Jakarta, July 2006

Director General ofBPS-Statistics Indonesia,

Dr. Rusman Heriawan

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EXECUTIVE SUMMARY

It is the mandate of BPS-Statistics Indonesia (BPS) to provide quality data—data that are complete, accurate, up-to-date, sustainable, and relevant—to the Government and other data users, primarily as inputs for policy formulation, planning, monitoring and evaluation of programs, in order to meet development objectives. Hence, the aim of development—to increase social welfare—can be achieved effectively.

The Presidential Regulation No. 7 year 2005 outlines the Medium-Term Development Plan (RPJM) and every Government agency, including BPS, is obligated to prepare a Medium-Term Strategy (Renstra) for the upcoming five years. The Renstra thereby provides a basis for formulating annual work plans each year, ensuring clear direction and optimal efficiency of resources during implementation. The Renstra of BPS is aligned with those of other Government agencies, as long as there are no contradictions with the provisions under the Statistical Law No.16 year 1997. Moreover, the Renstra also takes other stakeholders’ interests into consideration.

It is clear from the priorities set out in the RPJM that Indonesia’s development efforts increasingly require a variety of statistical information of high quality. Therefore, BPS must increase its services to the data users. In response to this challenge, direction and organization of BPS, in terms of vision, mission, tasks, functions and responsibilities, were formulated. The vision of BPS—BPS as quality data provider—can be achieved by implementing the BPS’s mission as follows: (a) to provide statistical data that are complete, accurate, relevant and up-to-date; (b) to ensure the coordination, integration and standardization of statistical information by providing a framework in the form of a reliable, effective and efficient National Statistical System; and (c) to improve human resource capacities to promote professionalism and skills on the latest statistical science and information technology.

The Renstra of BPS serves as: (a) a reference point for all BPS staff in carrying out their tasks to contribute to the achievement of BPS’s long-term goals, as well as Government objectives for the next five years; (b) the basis for BPS to coordinate the implementation of sectoral statistics activities by Government agencies, and special statistical activities by non-governmental organizations; and (c) a source of information for data users and stakeholders, both in the central Government and in the regions, about BPS activities for the 2005-2009 period.

In order to achieve the vision, mission, objectives and targets of statistical development, BPS stipulates three types of programs for the 2005–2009

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period: (a) the Statistical Improvement and Development Program (P2S); (b) the Facilities and Infrastructure Improvement Program (PSPAN); and (c) the State and Governmental Leadership Management Program (P2K2).

The P2S program aims to provide basic statistical data, which is complete, accurate, and timely, in the socio-cultural, economic, demographic, and environment sectors by enhancing the quality and professionalism of human resources, developing a more advanced statistical information system and implementing statistical activities consistently.

The PSPAN program aims to improve the facilities and infrastructure of BPS and to enhance the skills of BPS representatives in the regions to ensure better implementation of administrative and operational activities related to data collection and processing.

The P2K2 program assists in executing senior management responsibilities and facilitates the implementation of Government and state activities in the area of statistical data provision.

To achieve these development objectives, BPS supports the Statistical Development strategy through five areas: (a) improving the provision of quality data at various levels; (b) developing quality statistics at the regional level; (c) improving cooperation with data producers, data users and respondents; (d) increasing the quantity and quality of resources, especially human resources, in the regions; and (e) operating a clean and transparent Government, that is free of corruption, collusion and nepotism.

The strategy for improving the provision of quality data at various levels involves six activities, namely: (a) developing statistical methodologies and improving methodological soundness of statistics; (b) providing social statistical data; (c) providing economic statistical data; (d) providing cross-sectoral statistics, including the formulation of various indicators; (e) improving the quality and professionalism of human resources, through education and training and; and (f) developing a comprehensive statistical information system.

Subsequently, the strategy for developing quality statistics at the regional level includes development of small area statistics and region specific statistics, through activities such as the village potential (Podes) data collection effort, and through special studies in selected regions, until budget becomes available to cover all regions.

The strategy for improving cooperation with data producers, data users and respondents involves developing a stronger, mutual coordination mechanism within BPS, as well as between BPS and other agencies.

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The strategy aims at standardizing statistical definitions and concepts, classification and regional coding, as well as statistical measurement. In addition, several statistical activities will be integrated to save time, cost, and energy. This strategy is aimed to result in more inter-departmental meetings, closer cross-agency cooperation on the implementation of statistical activities, more timely and open discussions on the consistency of statistical data, and coordinated dissemination of statistical results.

The strategy for increasing the quantity and quality of resources, especially human resources in the regions, will be conducted through eight activities, namely: (a) improving the quality of the Institute of Statistics (STIS); (b) improving the quality of Education and Training Center (Pusdiklat); (c) improving the effectiveness of officers’ training; (d) basing staff reward and punishment on a performance system; (e) developing a reliable management information system; (f) improving and increasing information technology equipment; (g) upgrading building facilities and infrastructure; and (h) completing other facilities and infrastructure.

The strategy for supporting a clean and transparent Government, free of corruption, collusion and nepotism, is accomplished by routinely monitoring the implementation of statistical activities, formulating solutions to encountered problems and deviations from policy guidelines, and preparing periodic progress reports in a timely manner, both at the central and regional levels.

Transparency in activities will be ensured by, among other things, quantity, accuracy, and timeliness of statistical indicators produced. The productivity of data produced by BPS is evident by several outcome indicators, consisting of total number of visitors and requests for data at the BPS library and website, as well as requests for data on specific subject matters through the technical units in BPS.

The performance of BPS can be evaluated based on the number of indicators that are produced periodically and in a timely and accurate fashion (indicated by the standard error). In addition, the performance is further assessed by the timeliness in completing statistical activities and dissemination of statistical information.

Financial management and control will be supported by a Management Information System (MIS) to eliminate corruption, collusion and nepotism and realize good governance.

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TABLE OF CONTENTS

ABBREVIATIONS AND ACRONYMS …………………………………………............. i

PREFACE ………………………………………………………………………………................... iii

EXECUTIVE SUMMARY …………………………………………………………................. v

TABLE OF CONTENTS ……………………………………………………………............... ix

CHAPTER I. INTRODUCTION …………………………………………………....... 1 A. Background ……………………………………….………….......... 1 B. Objectives of BPS Strategic Plan .……………………........ 1

CHAPTER II. BPS IN NATIONAL STATISTICS …………………………....... 3 A. National Statistics System ..………………………………...... 3 B. BPS Vision and Mission ..…………………………………....... 3 C. BPS Tasks, Functions, and Authority ………………....... 3 D. The Condition of Statistics in Indonesia …….............. 4 E. Statistics Development Targets for 2005-2009 ........ 5 F. Strategy and Policy of Statistics Development ........ 5 G. BPS Programs ………………………………………………........... 5

CHAPTER III. QUALITY STATISTICS FOR POLICY FORMULATION .................................................................. 7 A. Statistics Utilization ..………………………………………....... 7 B. Main Activities …………………………………………...……...... 7 C. Activities in Detail …………………..………………………....... 8

CHAPTER IV. QUALITY STATISTICS FOR REGIONAL DEVELOPMENT ................................................................ 11 A. Statistics Requirements in the Region ……………....... 11 B. Main Activities ……………………………………….………....... 12 C. Activities in Detail …………………………………………........ 12

CHAPTER V. COORDINATION WITH STAKEHOLDERS …………......... 15 A. Coordination of Statistical Data Collection ……....... 15 B. Main Activities …………………………………………………..... 15 C. Activities in Detail …..……………………………………......... 16

CHAPTER VI. CAPACITY BUILDING …………….………………..………............ 19 A. Increasing Human Resource Capacity, Facilities and Infrastructure .……………………………....…………...... 19 B. Main Activities ………………………………………………........ 20 C. Activities in Detail …..………………………………………...... 20

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CHAPTER VII. PERFORMANCE MONITORING AND EVALUATION …................................................................ 23 A. Performance Indicator ……………………………………...... 23 B. Performance Monitoring …………………………………..... 23 C. Performance Evaluation …………………………………...... 23 D. Eliminating Corruption, Collusion and Nepotism ….................................................................... 23

CHAPTER VIII. CONCLUSION …………………………………….…………...…....... 25

ATTACHMENTS Attachment A List of BPS Programs and Activities related with RPJM Years 2005-2009………………………........................... 27Attachment B BPS Programs and Activities for Years 2005-2009 ....... 31Attachment C Proposed BPS Budget for Years 2005-2009 …………........ 39

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CHAPTER IINTRODUCTION

A. Background

The Presidential Regulation No. 7 year 2005 regarding the NationalMedium-TermDevelopmentPlan(RPJM)of2004-2009stipulatesthateverygovernmentagencyisobligedtomakeastrategicplan.Thisplanshouldtaketheformofadevelopmentplanwithavision,mission,objectives,strategies,policies and programs, and should outline main development activities inlinewiththefunctionsoftheagencyforthenextfiveyears.ThestrategicplandirectstheachievementofRPJMtargetsandisusedasaguidelinefortheagency’sGovernmentAnnualWorkPlan(RKP). BPS-Statistics Indonesia provides statistical data that is required forplanning,monitoringandevaluationoftheGovernment’stargetsstatedintheRPJM,andtosatisfythecomprehensivedataneedsoftheGovernmentandsociety.ThedataalsosupportsthedevelopmentneedsoftheregionalRPJM,sothatdevelopmentindicatorsfornationaldowntothelowestlevelofadministrationareneeded. Recently,theneedforsuchindicatorsismetatthedistrictandcitylevels,whiledatafromthesub-districtlevelsremainsinadequate.Districtandcitygovernmentsrequireaccuratedatatoformulatepolicies,aswellas for planning, monitoring and evaluation purposes. Currently, BPS isnotequippedtomeettheseneedsbutwilltrytomoveinthatdirectionin2005-2009. Thedemandtoprovidecomprehensive,accurate,sustainableandtimelydata is increasing from a wider segment of society. Central and regionalgovernmentsrequirestatisticalinformation,asdobusinesspeople,universitiesandresearchinstitutions.Therefore,inputsfromawidevarietyofconsumershavebeenconsideredinthedesignofastrategicplanforBPS.

B. Objectives of BPS Strategic Plan

BPS’strategicplanistoprovide:1. GuidelinesforBPSstafftoachievelong-termobjectivesintheareaof

statisticaldevelopment,aswellasgovernmentgoals, inthenextfiveyears;

2. The basis for BPS to coordinate on the implementation of sectoralstatisticalactivitiesthatareperformedbyothergovernmentagencies,and the implementation and collection of specific statistics by non-governmentalinstitutions;and,

3. ThesourceofinformationaboutBPSactivitiesfortheperiod2005-2009fordatausersandstakeholdersatcentralandregionallevels.

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CHAPTER IIBPS IN NATIONAL STATISTICS

A. National Statistics System

ThenationaldevelopmentplanbasedondataandinformationasstatedinArticle31ofLawNo.25Year2004onNationalDevelopmentPlanningSystem (SPPN), states that accurate and reliable data and information isrequiredtoplandevelopmentactivities.Thedataandinformationcancomefrom various sources, such as the institutions themselves, BPS, and otheragencies.AllofthesesourcesareincludedintheNationalStatisticsSystem(SSN). TheSSN,accordingtoLawNo.16Year1997onStatistics,comprisesofthreecomponents,a)basicstatisticsproducedbyBPS,b)sectoralstatistics,generallytheresultofadministrativerecordsofgovernmentinstitutions,c)specificstatisticsproducedbyotherorganizations.Moreover,theMetadataof the threestatisticalcomponents is tobecompiledatBPSheadquartersandfiledintheStatisticalClearingHouse(SiRusa).

B. BPS Vision and Mission

1. Vision BPSistheproviderofqualitystatistics.2. Mission a. To provide quality statistical information which is complete,

accurate,relevant,timely,andsustainable; b. To coordinate, integrate, synchronize, and standardize statistical

activities to create a qualified, effective, and efficient NationalStatisticalSystem;and.

c. To increase the resource capacity in accordance with the latestscienceandinformationtechnology

C. BPS Tasks, Functions, and Authority

Thetasks,functionsandauthorityofBPShavebeenstipulatedinthePresidentialDecree(Keppres)Number103Year2001. In implementing itsduty,function,andauthorityasstatedhereunder,BPSisfurtherrestrictedbythetenFundamentalPrinciplesofOfficialStatistics,asformulatedbytheUnitedNations.1. Task Toexecutegovernmenttasksinthefieldofstatisticalactivities,inline

withtheprevailinglegislativeregulationsonstatistics2. Function:

a. To review and compile existing national policies in the field ofstatisticaldatacollection

b. Tocollect‘basicstatistics’

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c. TocoordinateactivitiesinimplementBPS’tasksd. To provide guidance to government institutions in the field of

statisticalactivities;ande. To provide guidance to the general administration in planning,

administration, management, human resources management,finance,filing,legal,coding,inventoryandinternalaffairs

3. Authority a. Toprepareacomprehensivenationalplanonstatisticaldevelopment b. Toformulatepoliciestosupportstatisticaldevelopment c. Todevelopastatisticalinformationsystem d. To stipulate and implement the collection of national official

statistics e. Otherauthoritiespursuanttotheprevailinglegislativeregulations,

i.e.: i. Formulateandimplementcertainpoliciesinstatisticalactivities ii. Prepare implementation guidelines for the sectoral statistics

survey

D. The Condition of Statistics in Indonesia

FourfactorshavesupportedthedevelopmentofstatisticsinIndonesia:1. Law Number 16 Year 1997 on Statistics is the legal foundation of

statisticaldatacollection,whichensureslawenforcementinthefield;2. TheInstituteofStatistics(STIS)asthemeanstorecruitnewemployees

through the official education, and Education and Training Center(Pusdiklat)asthefacilitytoimprovehumanresourcecapabilitiesatBPS;

3. Thecurrentavailabilityofdataprocessingfacilitiesatthedistrictandcitylevel,whichacceleratesthedataprocessing;and

4. The fact that BPS, despite Indonesia’s decentralization, remains averticalgovernment institutionwithhumanresourcesupto thesub-districtlevelallowsforimprovedfacilitationofstatisticalactivitiesduetoproximitytosourcesofdata

Inadditionthereareexternalfactorsthathavesupportedthedevelopmentandimprovementofqualitystatistics:1. The national development planning system based on data and

information, as mentioned above, as well as international trends,suchasglobalization,haveresultedinanincreasingdemandfordataproducedbyBPS;

2. Thedatarequirementsfromregionalgovernmentsandorganizationshave increased due to their greater regional responsibilities sincedecentralization;

3. Rapid development of information and communication technology,aswellasstatisticalmethodology,hasensuredthatBPSstaffregularlyupdatetheirtechnicalknowledgeandskills;

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4. Increased awareness of the importance of statistics, as expressed indevelopmentplansproducedbyexecutiveandlegislativeinstitutionsputspressureonBPStoimprovetheirperformance;

However,therearemanyconstraintstoBPSintermsofrealizingitsvisionandmission:1. There is a substantial lack of human resources for technical work to

support policy making in provincial, district and city governments,including methodology development and survey implementationoversight;

2. Due to budget limitations, BPS is unable to update its facilities andinfrastructuretokeepupwiththeregionalgrowthrequirements;

3. The decreasing response level in some data collection activities istroublingandendangersthequalityofthestatistics;

4. Lackofadequatecommunicationinfrastructureinsomemoreremoteregionsslowsdownthe(raw)dataflowtothosecentersresponsiblefordataprocessing;

5. Morecriticalsocietytowardsaccuracy,speed,andobjectivityofBPSdata

E. Statistics Development Targets for 2005-2009

1. Toincreasetheefficiencyofstatistics2. Increasetheabilitytofulfillthegrowingneedforsmallareaandlocal

specificstatistics3. IncreasingSSNfunctions4. Improvingthequalityandquantityofhumanresources5. Implementinggoodgovernanceprinciples

F. Strategy and Policy of Statistical Development

1. To increase the availability of quality statistics at various levels bycollectingdatathroughcensus,survey,andothermethods

2. Tograduallydevelopasystemforthecollectionofsmallareaandlocalspecificstatisticstosupportregionalautonomy

3. To increase cooperation with resource persons, data producers, anddatausers,andstrengthencommunication,informationandeducation(CIE)aboutvariousstatisticalactivities

4. Toimprovehumanresourcecapabilities,especially intheregions,byincreasingthenumberofstaffandprovidingthemwiththeappropriateeducationandtraining

5. ToensurethatBPSmanagementisefficient,effective,clean,responsible,and transparent, by strictly monitoring management performancethroughinformationandtechnologymeasures

6. To utilize the Statistical Community Forum (FMS) effectively byorganizingmoremeetings,discussions,andfieldvisits

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G. BPS ProgramsInordertoachievethevisionandmissionofBPS,threeprogramsaretobeimplementedintheperiod2005-2009:1. StatisticsImprovementandDevelopmentProgram(P2S)Theprogramobjectivesare:a. Continue to provide quality statistics in the fields of demography,

economicsandfinance,andothersectoralandcross-sectoralfieldssuchas population, poverty, economic growth, inflation, unemploymentand others, through census surveys, studies, and the compilation ofadministrativerecords;

b. Increasethequalityandprofessionalismofhumanresourcesthrougheducationandtraininginthefieldsoftechnicalstatistics,management,datacomputingandadministration;

c. Continue to develop a statistical information system that is in linewith national and international benchmarks of information andcommunications technology, which is needed by government andsociety;

d. Develop adequate data collection methods in accordance with thestatisticsrequired;

e. Providestatisticsforsmallareasandlocalspecificstatisticstosupportregionaldevelopmentplans;

f. Increase the coordination of government agencies on statistics,particularly in terms of concept perception, definition, and indicatorformulation,tocreateaneffectivenationalstatisticalsystem

2. FacilitiesandInfrastructureImprovementProgram(PSPAN)This program aims at gradually increasing the amount and quality ofinfrastructure at BPS Headquarters and at local BPS offices in the regions(provincial/district/citylevels)tobettersupportadministrativeservicesanddatacollectionefforts.

3. StateandGovernmentLeadershipManagementProgram(P2K2)ThisprogramintendstosupportgovernmentleadershiponitsresponsibilityandmanagerialfunctiontowardsprovidingstatisticaldataonthenationalactivitiesThese programs can further be broken down into the followingcomponents:a. To provide statistics which are complete, accurate, relevant, timely

and sustainable for policy formulation and to support regionaldevelopment

b. Toimprovecoordinationwithstakeholdersanddatausersc. Toincreasecapacitydevelopmenteffortsingeneral

Each activity group is explained separately in Chapter IV, Chapter V, andChapterVI.ThemonitoringandevaluationprocessoftheseactivitieswillbeoutlinedinChapterVII.

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CHAPTER IIIQUALITY STATISTICS FOR STRATEGY FORMULATION

A. Statistics Utilization

Implementing Government development plans generally requiresBPS data. For example, monthly inflation data and quarterly income datahavesignificantinfluenceonmacro-economicpoliciesintheshort,mediumand long term. Besides, in order to allocate the General Allocation Grant(DAU) to the regions, the central Government relies on a formula whichusesdatacomponentsfromBPS,suchaspopulation,constructioncostindex(CCI),GrossRegionalDomesticProduct(GRDP)percapita,andtheHumanDevelopmentIndex(HDI). BPS data also plays an important role in monitoring and evaluatinggovernment performance. Take the example of quantitative targetsmentionedinRPJM,suchasthedeterminationthateconomicgrowthrateshouldnotbelessthan7.0percentperyearsothatunemploymentratewillbeapproximately5.1percentin2009.UnemploymentdataisalsocalculatedbyBPS.Otherexamplesofsuchtargetsareeducationenrollmentratesbetweentheagesof7-12years-whichshouldbe99.6percent,lifeexpectancy–whichshouldbe70.6years,andpovertyrate,whichtheGovernmenthasplannedtoreduceto8.2percentby2009.TheseareallprojectionsmadebyBPS.Globally, governments have abided to the Millennium Declaration, whichis a commitment amongst a large number of developing and developedcountriestoachievecertainsocialdevelopmentobjectives.Thedeclaration’soperationaltargetsandgoalsaremadeexplicitintheMillenniumDevelopmentGoals(MDGs).IndonesiaandothercountriesparticipatingintheMDGefforthavedeclaredatwenty-fiveyearachievementplan,whichwillendin2015.BPSisresponsibleforprovidingqualitystatisticalinformationintheformofmeasurable, quantitative indicators in order to monitor Indonesia’s MDGstargetsachievement. Statistical data is gathered through census and sampling surveys.Samplingmethodselectedisonethatgivesequalopportunitytoallpopulationmembers, in order to prevent bias in estimation based on the samplepopulationselected.Forthispurpose,SamplingFramesareneeded.BPShasfourkindsofSamplingFrames(KCI),i.e.samplingframeforhouseholds(KCI-RT),samplingframeforagriculturalresearch(KCI-TAN),samplingframeformicroandsmall-scalebusiness(KCI-UKM),andsamplingframeformediumandlarge-scalebusiness(KCI-UMB),whichneedtobeupdatedperiodically.

B. Main Activities

Thischapterexplainsthemainactivitiesrelatedtoprovidingqualitystatistics,requiredtosupportnationalpolicyformulation,whichcover:1. To improvedataqualitybycontinuousdevelopmentandadjustment

of methodologies at all phases of statistical activities, such as KCI

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improvement,datacollectionanddataprocessing,includingvalidationanddataconsistency,aswellasdataestimates

2. To increase the collection of different types of statistics, includingsecondarydatafromotherinstitutions,inorderto:

a. Meettheneedsofstatisticalinformationanddatausers b. Enableadequateannualplanning,monitoringandevaluationof

theRPJMatthenational,provincialanddistrict/citylevels c. Fulfillinternationalcommitment d. Fosterthedevelopmentofeconomicactivitiesandsocialchange.

ThoseBPSindicatorsthatareusedtomonitorandevaluatetargetsandgoalsstatedintheRPJMareincludedinAttachmentA.ThedatacollectedthroughactivitiesintheStatisticsImprovementandDevelopmentProgram,whichallowsforthecreationofthoseindicators,isafurtherprovidedinAttachmentB.

C. Activities in Detail

Theactivitiescarriedoutinthosemainactivitiesabovewillcover:

1. Developing Statistical MethodologiesBPS will improve KCI formulations by providing updated geographicinformation maps, along with basic information. Further improvementwill come through: accurate implementation of sampling methodology,improvedpracticesofsamplingtechniquesinregionalBPSoffices,routineupdatingofKCIatdistrictandcitieslevel,thecompilationaguidebookofsamplingtechniques,fieldorganizationsthathavethecapacitytoimprovedata quality, effective training, as well as data processing that takes intoaccountthelatestcomputingtechnology.

2. Providing Social StatisticsSocial statistical information activities will be implemented in 2005-2009.These include: the preparation of the Population Census 2010, the Inter-CensusPopulationSurvey(Supas)2005,theNationalSocioEconomicSurvey(Susenas),theNationalLaborForceSurvey(Sakernas),WageSurvey,andtheSocialEconomicRegistration(PSE)in2005,theIndonesianDemographicandHealth Survey (SDKI) year 2007, in addition to other small-scale activities.These will be done through surveys covering health, education, housing,homeless,socialcapital,timeuse,andothersocialfactors.

3. Providing Economic StatisticsThe collection of economic statistical data is carried out through theAgriculturalCensus2003(ST03),thepreparationandimplementationoftheEconomicCensus2006(SE06),theCostofLivingSurvey,thePriceSurvey,the Regional Finance Survey, the Financial Institution Survey, the Surveyof Agriculture, Industry, Mining, and Construction, Integrated HouseholdBusiness Survey (Susi), the Hotel and Tourism Survey, the compilation

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of export and import statistics, the compilation of transportation andcommunication statistics, computation of GDP, GRDP, the compilation ofInput-Output(I-O)Table,compilationofSocialAccountingMatrix(SAM)andFlowofFundAccount(FoF).

4. Compiling Cross-Sectoral Statistics Cross-sectoral statistics is data covering statistics across socio-economicsectionsoftheeconomy.Thedataiscompiledthroughvariousstatisticsandindicators such as people’s welfare, social, politics and security, violence,poverty, areas, gender and environment. Those various indicators arecreatedthroughprocessinganddataanalysis.

5. Compiling Sectoral StatisticsSecondary data from sectoral institutions is collected to complete datagapscreatedbythetechnicalinabilityofBPStocollectsuchdata.Thedatacollectioneffortscoverallfieldsofdevelopmentandarecarriedoutbyboththe center and the regions and the results are summarized in statisticalpublications(eitherinprintedorelectronicmediaform).

6. Developing a Statistical Information System ThedevelopmentofaStatisticalInformationSystem(SIS)entailsdevelopingasystembasedoninformationandcommunicationtechnology(ICT)whichis accountable and able to support a series of statistical activities (fromplanning,datacollection,processing,andanalysisthroughtodissemination),inaccordancewiththe latestupdates.ThisenablesBPStopresentqualitystatistics.

7. Improving BPS’ Image through Quality Data Services to UsersBPSwillstrivetobuildauser-friendlyimagebyprovidingqualitydatatoitsconsumersinanefficientandtimelymanner.

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CHAPTER IVQUALITY STATISTICS FOR REGIONAL DEVELOPMENT

A. Statistics Requirements in the Region

Regionalautonomyhasexpanded the tasksofplanning, monitoringandevaluatingregionaldevelopmenttothelocallevels.Duetolargenumberof regions and the variation of development aspects, BPS needs an extraeffort toprovidestatistical informationdataat themunicipality/city levelof development. Thus, BPS has a significant role in providing data whichrequiresawiderangeofsupportandinfrastructure. AsLawNo.16Year1997waspassedpriortotheimplementationofregionalautonomy,BPS’rolestipulatedinthisLawisnotsufficienttosupportthe analysis of statistics for development planning in regions. Five yearsafterregionalautonomyhasbeenimplemented,BPSstillneedstofillthegapbetweenthedataavailableatBPSandthedatarequiredintheregions. Due to its vertical organizational structure, BPS can implement astandardized system with one line of command. With BPS staff in sub-district levels, thesub-district statistical coordinators (KoordinatorStatistikKecamatan/KSK),itremainspossibleforBPStoundertakestatisticsactivities,starting from data collection in each region up to results dissemination,without organizational constraints. With the implementation of the newregulations regarding financial management in government institutions,districtandcity levels,BPScanmanage itsownbudget, includingbudgetallocationbyregionalgovernment. Moreover, theexistenceofdataprocessing facilitiesateachdistrictandcity levelallowsBPStoacceleratedataprocessing,astherecording,validation,andverificationprocessofthedatatakesplaceattheprocessingcenter.Therefore,cleandataissenttotheprovincialBPSandcentralBPS,allmadepossiblethroughadatacommunicationsystemthatisinlinewiththe latest information technology. Another advantage of decentralizeddataprocessingistheabilitytoshortentheearlierstagesofprocessing,sothatdatathatneedsimprovementcanberevisedfaster.IfdistrictandcityBPSfacilitiescanprocessdatafaster, thisdatacanbeusedastemporarysupport towards regionaldevelopmentplans,whilewaiting for the finaldatafromBPS. Currently,facilitiesandinfrastructurefordataprocessingatsomeBPSoffices are inadequate, affecting the punctuality of data distribution. Theprocessing-timeofdatacanfurtherbeshortenediftheBPSprocessingunithastheappropriatecommunication-networkfacilities. Difficult field conditions, particularly in Eastern Indonesia, offer realconstraintsagainstprovidingdataontime,duetolimitedandaffordablepublictransportation. Inadequate infrastructure makes some areas are difficult toreachforstatisticalactivities.Thisconditioninfactdelaysthedatacollectingactivities,asBPScommunicationfacilitiestoreachtheseareasarelimited.

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Certain district and city BPS offices face constraints in meetingspecificdatarequirements.Givendiversedataneedsandlimitedresourceavailability that vary greatly from region to region, regional BPS officesareallowed innovations in technicalactivities toproduce regionspecificstatistics,aslongastheactivitiesareinaccordancewithBPS’vision,missionandstatisticalethics.

B. Main Activities

Main activities in providing quality statistics to support decentralizationcoverthreeaspects:1. The implementation of statistical activities from the central BPS for

national policies and for production of small area statistics, mainlyfrom the census, are done by: developing region specific statistics;increasingcooperationwithprovincial,districtandcitygovernments;and increasing quality of guidance to new districts and cities whereBPSofficeshavenotbeensetupyet.

2. Qualitysecondarydatacollection fromsectorsandothersources forregionaldevelopmentcanbeaccomplishedthrough:improvingqualityand comprehensiveness of published regional statistics with sectoraldata up to the sub-district level; improving and expanding roles ofregional BPS facilities in compiling sectoral statistics; and improvingregionalBPS’functionasregionalstatisticscenter.

3. The development of an efficient and low-cost methodology, whichallowsforthecreationofsmallareaandlocalspecificstatisticsdata.

C. Activities in Detail

Detailsofthemainactivitiesdescribedabovecompriseof:1. Developing Local Specific Statistics

Developingapproachesforthecollectionoflocalspecificdatarequiresimproved cooperation between the central BPS and regional BPS offices.Regional BPS offices are expected to implement activities in the field.Therefore, guidelines on sampling frameworks are to be made availablefor those regionalBPSoffices thathave tocollectbasicdataat theirownexpense.Iftherewillbeacostcontributionfromprovincial,districtandcitygovernments,BPSwilltrytocompilestudyguidesfortheproductionoflocalspecificstatistics,aswellastotrainregionalofficersintheidentificationoflocalcharacteristicsandlocaldatacollection.

2. Increasing Cooperation with Provincial, District and City Governments

ThesamplesusedinBPSsurveysareadequatetocreateindicatorsatthedistrict,andcitylevelsbutnotlargeenoughtocreatedetailedindicatorsat the district level as well as at sub-district level. To solve the problem,regionalBPSoffices,togetherwithprovincial,districtandcitygovernments,

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areexpectedtosetadditionalsamplesothatsurveyresultscanbebeneficialfor regional development plans. This cooperation also includes statisticaltrainings, allowing for the identification of local specific statistics, dataanalysis,andtheproductionofdatausingregionalmaps.

3. Improving Guidance on Quality to Regions without Local BPS Offices

CertainregenciesandcitiesdonothaveaBPSofficeyet.Inthiscase,BPSappointsacontactpersonfromthemaindistrictorcityBPSfacilitytoassisttheselocalgovernments.ThecontactpersonisappointedfromlocalpotentialresourcethatavailableatthemainBPSdistrict/cityafterreceivingsometechnicalandnontechnicaltraining.

4. Improving the Quality and Production Publication Series of Regional Sectoral Statistics down to the Sub -District Level

Currently,thedataavailableattheregionalandlocallevelisinadequatetoformulateannualpolicies.AsBPSdataforsmallareasbelowthedistrictand city levels is available only every ten years, while other data is partlydetailedonlyuptothedistrictandcitylevels.Meanwhiledatafromavailablesectorsomeofthedistrictandcitylevelsnotbeusedtopolicyformulation.Therefore, to fill the data gaps from BPS, it is necessary to use availablesectoraldatabypublishingtheminthe‘RegioninFigures’documents,(DDA)attheprovincial,district,city,andsub-districtlevels.

5. Improve the Role of Regional BPS Offices in Compiling Sectoral Statistics

As stated above, the available administrative records from regionalsectoralinstitutionsoftencannotbeusedforpolicypurposes.BPShowever,can use its regional resources to compile sectoral data, especially whereprocessingsystemsisconcerned,sothatthedataisusefulforpolicy-making.

6. Increasing Functions of Regional BPS Offices as Regional Statistics Centers

Greaterregionalautonomyhasincreasedtheneedforstatisticsintheregions.Therefore, thefunctionsof regionalBPSofficeshavegrownfrombeing field operational offices to regional statistics centers that serve allusers,particularlygovernmentatprovincial,district,andcityinplanningandmonitoringandevaluationoftargetsstatedintheRegionalRPJM.RegionalBPS offices should function as a reference center for regional statistics,managingMetadatafromregionalstatisticalactivities.Asstatisticscenters,regionalBPSofficeswillbeempoweredthroughDDAimprovement,trainingofareferentialstatisticsinformationsystem,thedevelopmentofastatisticalinformation network, and greater ability to cooperate with various otherinstitutionsperformingstatisticalactivities,aswellasstakeholders.

7. Developing Efficient Methodologies to Create Small Area Statistics

Datacollectionthroughsurveysatthedistrictandcitylevelsrequireslarge sample size as well as adequate financial resources. However, ifappropriatesamplingtechniqueisusedandthesampleisrepresentativeof

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thelocalpopulation,reliablestatisticsforsmallareascanbeproducedwithsmallsamplesize,withoutrequiringalargebudget.Towardsthisend,BPSwilldeterminetheoptimalsamplesizetocreatedataforsmallerareaswiththeavailablebudget.ThiseffortwillbeaccompaniedbyroutineupdatingKCIatthedistrictandcitylevels. Next,thedevelopmentofspatialdata,basedongeographicinformationsystems(GIS),willgraduallybecarriedout.Thedatacanbeusedtoprocesssampling,whichhasspatialconsiderations inaccordancewithneeds.Theuseofspatialdataalsoimprovestheanalyticalqualityofmaps.Inaddition,GIS applications are used to support census and survey activities, povertyandnutritionmaps,andgridsystemscanbedeveloped. ToenableBPStoproducesmallareastatisticsdatadowntodistrictandcitylevels,otherdatacollectioneffortsincludesurveysusinglargersamplesof population. Currently, the systems applied in Susenas and Sakernas,whichusealargesample,arebeingexpandedtoBPS’agriculturalandnon-agriculturaleconomicsurveys.

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CHAPTER VCOORDINATION WITH STAKEHOLDERS

A. Coordination of Statistical Data Collection

For a reliable, effective and efficient National Statistics System (SSN),cooperation amongst various stakeholders is necessary. These include BPSStatistics Indonesia, other government institutions, universities, researchinstitutions,enterprisesandindividuals.BPSappliestheprinciplesofbenefit,integration,andtimelinessinimplementingitstasksandfunctions.Thebenefitprincipleimpliesthateachstatisticalactivity,asfaraspossible,willprovidemulti-dimensionaldatatosatisfynationalandregionalstatisticsneeds.TheintegrationprincipleimpliesthatBPSappliesthesameregionalcodes,sizesandconceptdefinitionstostatisticaloutputs,toensurecomparability.Finally,theupdatingprinciplemeansthatthepresentedstatisticsdataaredynamicinnature,continuouslydescribingchangesintheselectedphenomena. ToachievethestatedSSNobjectivesandtargets,BPSwillcoordinateand cooperate with government institutions and society at the central,regionalandlocallevels.Supportbyplanners,fieldofficers,dataprocessors,dataanalysts,anddatapresentationsarecrucialforthequalityenhancementofstatisticalactivitiesandthesuccessfuldisseminationofdata. SiRusaorthestatisticalclearinghousesystemthathasbeenformulatedin centralized era faces serious constraints over the implementation ofregionalautonomy,whichhasledtoadisconnectionofsectoraldataflowfrom regions to central office. As the centre for statistical clearing house,BPS will carry out a number of efforts to fill the data gap by facilitatingcoordinationwithsectoralinstitutions.CoordinationwillbeconductednotonlytodeterminehowBPScanproducebasicstatisticstocontributedatainputsforsectoraldevelopment,butalsotoassistrelatedinstitutionscollectsectoraldatafromtheregions. As the advisor of statistics and computer personnel, BPS will alsocoordinate and standardize statistical activities within governmentinstitutions,inordertoachieveareliable,effectiveandefficientSSN.

B. Main Activities

Activitiesrelatedtothecoordination,integration,synchronizationandstandardizationofstatisticalactivitieswithintheSSNframeworkaredividedintothreemaingroups:1. Tobuildaneffectiveandefficientstatisticalactivitiesnetwork,through

creating an inter-personnel forum and lobbying respondents tocooperatewithBPS;

2. Toincreaseandimprovethefunctionofthestatisticalreferencesystemandtoimprovestatisticalsocialization,throughintensifyingtheuseofstandard statistical concepts and definitions, and improving servicesfordatausers;

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3. To empower BPS professional staff and increase cooperation amonggovernment, private and international institutions by enhancing theskillsofstatisticiansandcomputerpersonnel, increasingcooperationwithgovernmentandprivateinstitutions,andincreasingcooperationwithinternationalorganizations.

C. Activities in DetailTheactivitiesincludedinmainactivitieswillcover:1. The Formation of a Statistical Inter-Personnel Forum

In order to improve coordination, a Statistical Inter-Personnel Forumwithinthecentralandregionalgovernmentinstitutionsisexpectedtoavoidduplication inactivitiesthatproducethesamekindofstatistics.ThemainactivityofthisforumisthecoordinationofstatisticalactivitiesbyBPS,intheformofinter-departmentalmeetings-whereBPSinformsmembersoffuturestatisticalactivities, suchascollaborations,discussionondataconsistencyissues,anddisseminationoftheresultsofstatisticalactivities.Since2005,BPShasembarkedonsocializingtheresultsofstatisticalactivities,andreceivinginputsregardingneedsofdatausers.

2. Persuasion of Respondents

Respondents’ willingness to answer questions accurately is a pre-requisite for good quality data. The level of appreciation of a respondenttowards a statistical activity determines the rate of response. In the post-reformera,therehasbeenanincreaseinreluctancetoparticipateinstatisticalactivities,particularlyamongtheeliteandbusinessentrepreneurs,resultingin delay and/ or incomplete data coverage. The intensity of the dialoguebetweenBPSandtherespondentscanbeincreasedbyhavingseminarsonsurveyresults,orbyforminginteractivediscussiongroupsusingemailasameansofcommunication,aswellasdistributingquestionnairesthroughBPSlibrariesorwebsites.

3. Intensifying the Use of Standard Statistical Concepts

BPScoordinatesboth internallyandwithother institutions tocreateconcept definitions, classifications, area codes and standard statisticalindicators for each statistical activity. To reduce the risk of providing thesamekindofdata,aswellastofillunmetdataneeds,BPScoordinatesbyconductingmeetingsduringthepreparationphaseofsurveys.Thus, fromBPS’experiencecollaboratingwithotherpartners,efficiencyintermsoftime,cost,orpersonnelcanbeachievedbyintegratingseveralstatisticalactivities.Furthermore,toincreasecoordinationwithinstitutionsoutsideBPS,SiRusawithsectoraldata(currentlystopped)needstoberevitalized.

4. Increasing the Socialization of Statistics

Theawarenessleveloftheimportanceofstatisticsinsocietyinfluencesthe quality of data. A society that realizes the meaning and benefits ofqualitydatawillprovidereliableanswers.Towardsthisend,BPSorganizes

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various activities such as counseling, dialogues and the socialization ofstatisticsactivitiestogovernmentandnon-governmentinstitutionsaswellas individuals. Activities to increase the socialization of statistics amongothers are documenting survey results in leaflets or booklets as feedbackto respondentsandpublishingpress releasesperiodically, regardingGDP,inflation,exportandimport,businessandconsumertendencyindex,touristvisitsandeconomyandsocialindicators.

5. Improving Services to Users

To support improvement of services for users, a relevant strategyis needed in developing and applying a user-friendly system for thedisseminationofstatisticalinformationwithseveralactivitiesasfollow:a. Applying the appropriate dissemination technology to improve the

qualityofservicestocentralandregionalgovernments,aswellasotherusers.Theaccessmechanismontheinternet,connectinguserstothecentraldatabase,needstobedynamicandshouldbesupportedbyanadequatedatawarehousefacility.

b. Improvingthequalityofstatisticalinformationdisseminationthroughstatisticalpublicationusingnationalandinternationalguidelines,whilemaintainingthebasiccharacteristicsandtheimageofBPS.

c. Developing a meta data system which covers information on basicstatistics, sectoral statistics and specific statistics to be used as areferencepointfornationalstatisticalactivities.

d. Furtherimprovingthelibrarysystemanddevelopingareliablestatisticsdocumentation system, with the compilation of international andnational statistical publications, and books and references regardingstatisticaltechniquesandmethodology. Inadditionto improvingtheservice function, the library system and statistics documentation canspeedupSSNdevelopment.

6. Developing Positions for Statisticians and Computer Personnel

In line with the development of science and technology, it is time thatstatistics and computer administration in government institutions outsideBPS are managed professionally. For this reason, functional positions forprofessionalstatisticiansandcomputeradministrationpersonnelhavebeencreated.ItisBPS’responsibilityasanadvisoryinstitutiontoprovideguidancetosuchprofessionalstaff,notonlyinBPS,butalsoinotherinstitutions.Suchdevelopmentcanbeimplementedbyimprovingthescoringsystemofcreditpoints, conducting training, socialization, counseling, accreditation andcertification.

7. Increasing Cooperation with Government and Private Institutions

Government institutions, private sector, national and internationalsocietyplayalargeroleinimprovingBPS’capacityinimplementingstatisticalactivities—inhumanresourcesskills,transferoftechnology,andimprovement

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of facilitiesandequipment. In theeraof regionalautonomy,BPShasalsobeen supported by district and city governments to carry out statisticalactivities,especiallytomeettheneedfordatafromsmallareas.Advocacyefforttowardsofficialsofdistrictandcitygovernmentswillbeconductedtoformulatepoliciesbasedonevidenceinthefield.BPSwillalsomakeanefforttomeettechnicalstandardssuggestedbytheStatisticalCommunityForumthroughdialoguesheldwiththeseinstitutions.

8. Increasing Cooperation with International Donors

By means of international cooperation, BPS will keep working towardsstatisticaldevelopment.Asitsownresourcesarelimited,effortswillbemadetoclosetheshortfallwithresourcesfromoutside.BPSwillspecificallyaimto:(a)increasecoordinationmeetingswithvariousinternationaldonoragencies,suchastheWorldBank,ADB,UN-ESCAP,UNFPA,UNDP,UNICEF,GTZ,AusAID, JICA, and USAID, (b) increase participation of these organizations inharmonizingstandardindicatorsandstatisticsclassifications,(c)increaseBPSstaffparticipationininternationaltrainingevents,jobtraining,conferences,seminars, workshops, comparative studies and others, (d) improve theservices for data requests to and from international institutions, (e)contributetothedevelopmentofstatisticsinotherAsia-Pacificcountriesbyfosteringinternationallinkages,and(f)increasethedistributionofstatisticsdevelopmentandcomputation.

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CHAPTER VICAPACITY BUILDING

A. Increasing Human Resource Capacity, Facilities and Infrastructure

Capacitydevelopmentcomprisesofdevelopmentofhumanresources(HR)andcapacityofotherorganizationalcomponentssuchasequipment,office infrastructure,aswellasother facilities.HRcapacity isenhanced inthree ways: firstly, through the Institute of Statistics (STIS); secondly, viacapacitybuildingeffortsof theEducationandTrainingCenter (Pusdiklat);andlastly,throughspecialtrainingforcensusandsurveypersonnel.ThroughSTIS,BPSrecruitsspecialistsinthestatisticalfield.CapacitybuildingofBPSstaffintechnicalandadministrativefieldsisconductedmainlythroughtheEducation and Training Center. The last type of capacity development isprimarilyforcensusandsurveypersonnel,especiallyforthefieldstaffandtemporarypersonnel. BPS trains Indonesian students at STIS, whose curriculum includesstatistical theories,appliedstatistics,andother supportingsciences.Everyyear, about 250 statisticians with academic qualification of Diploma IVgraduatefromSTIS,whichisequivalenttobachelor’s(S1)levelstudies.MostgraduatesarethenemployedatBPS,whilesomeareplacedinvariousothergovernmentinstitutions. Increasingneedforstatisticaldata,bothinvarietyandquality,requiresstaffwithawiderangeofqualifications.However,thezerogrowthpolicyintherecruitmentofcivilservantshasledtoashortageofstaffatBPSatthedistrictandcityoffices.Eachfacilityissupposedtohaveaminimumofsevenstatisticians or mathematicians but actually has only half of the number.STIS can provide only one additional person every two years per districtand city. Continuing retirement and shortage of new recruitment impliesthatBPSdistrictandcityofficeshaveapersistentproblem,andthisaffectstheirabilitytocollectdataforregionalplanning,aswellasformonitoringandcontrollingfield implementations.Thisweaknesswillbeovercomebyprovidingtrainingatthecenterandregions. Apart from professional and educational training to improve staffcapability, the Pusdiklat also provides training in applied statistics. Thereputationofthistrainingcenterisquitegood,asevidencedbythenumberof international institutions that have appointed it to run their trainingprograms for statistics institutions in Asia Pacific, covering topics such assamplingtechniques,povertyestimatesandanalysis.Othereffortsthathavebeenmadetoincreasestaffparticipationareoverseastrainingactivitiessuchasseminarsandworkshops. Only qualified field personnel who have full commitment and highcapabilitytoconductdatacollectionactivity inaprofessionalmannercanensure the success of any statistical activity. Quality and professionalism

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of field personnel are increased through field training for every censusand survey, although the training is only conducted every three years ifresourceavailabilityislimited.BecausethenumberofBPSstaffatthesub-district level is not sufficient, additional personnel must be recruited fromthecommunities.However,besidestheadditionalburdenofcosttorecruitsupplementarypersonnel, it isalsonoteasy to findqualifiedpersonnelatthislevel,whichthenaffectsthequalityofstatisticsproduced. Theapplicationofinformationandcommunicationtechnology(ICT)tosupportBPSactivitiestoproducequalitystatisticsrequiresnotonlycapacitydevelopment of human resources, but also upgrading of related facilitiesandequipmentsinkeepingwithtechnologicaldevelopment.Thisrequiresthe development of an adequate and reliable ICT Center, as well as thedevelopment of data communication network facilities, which link all theworkunitsineverylocation,bothincentralBPSandregionalBPSoffices.

B. Main Activities

Activitiesforimprovingcapacityaredividedinfourgroups,i.e.:1. Increasingnumbersandabilitiesofhumanresources,especiallyinthe

regions,isdonethrough:improvingthequalityofSTISadministration,improvingthequalityoftheEducationandTrainingCenter,aswellasprovidingincentivesandpenaltiestoemployees.

2. Improving BPS capacity to adopt new ICT is implemented through:development of reliable management information systems andupdatinginformationtechnologyequipment.

3. Increasing BPS capacity to adopt more advanced statistical methodscanberealizedbyeffectivetrainingofsurveypersonnel.

4. Increasing ICT capacity is done by updating the building and otherfacilities.

Good quality census and monitoring personnel is a compulsoryrequirementforproducingaccuratedata,especiallyinlarge-scalestatisticsactivities, where a large number of highly qualified field personnel areneeded.Tosupportthischallengingresponsibility,professionalmanagersareessentialtomotivatecensusandmonitoringpersonnel,butsuchmanagersremainscarcewithingovernmentinstitutions.

C. Activities in Detail

Basedonthoseconditionsabove,afewactivitiesthatBPScandoare:1. Improve Quality of STIS Implementation

ImprovingthequalityofSTISadministrationrequiresqualifiedteachingstaff, adequate teaching and learning facilities and equipment, and moreselectivestudentenrollment.ThesearerequiredsinceSTISisabusinessunitthatfunctionstoprovideskilledpersonnelinstatisticsforBPS.TheincreaseofBPSstaff,especiallyinregions,canbefulfilledthroughequaldistributionofSTISgraduatesalloverIndonesia.Astheavailablepoolofgraduatesisnot

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enoughtoreplaceretiringstaffandadditionalrequirementsinexpandingBPSoffices,itisnecessarytoincreasethenumberofstudentsenrolled.Also,improvementofthequalityandprofessionalismofhumanresourcesatBPSwillbedonethroughlearningassignmentsofstaffinspecialisteducationforstatisticsandcomputationatSTIS.

2. Improve Quality of Education and Training Center

Inordertoimprovethequalityoftraining,theEducationandTrainingCenter (Pusdiklat) will be supported by qualified BPS trainers, adequatetrainingfacilities,andmorecomprehensivecoursematerial.ThePusdiklatwillholdvariouseducationandtrainingevents,bothperiodicandadhoc,focusedonstatisticalandcomputationtechniques,informationandcommunicationtechnology,andadministration/management,suchasleadershipeducationandtraining(Diklatpim).Inaddition,thePusdiklatalsoholdstrainingeventssponsoredbyinternationalinstitutionssuchasUNSIAP,JICA,andothers.

3. Incentives: Rewards and Punishment for Employees

Awardsaregiventoemployees,whohaveperformedwell,especiallythosewhoworkinremoteareas.Amongothers,thisisdonebyregionalselectionbasedontheirachievementeverythreeyears. Intheory,thiswill improvetheirperformancepsychologically.Ontheotherhand,thosewhoconductviolations that affect the performance of the staff or others will be givenappropriatepenaltiesaccordingtoexistingrules.

4. Developing a Reliable Management Information System

Developing a reliable management information system is one of theefforts to increase capacity in the application of ICT that can support thestrategyonthedecisionmakingprocess.Managementinformationsystemscanbedividedintoseveralmodulesystemssothatdevelopmentcanbedonegradually. These module systems are: personnel system, finance system,assetandequipmentmanagementsystem,activitymanagementsystem,andmanagementsystemofofficestationery,aswellasothersystemsrequiredbytheleadershipandmanagementtoimproveBPS’performance.

5. Provide Adequate Information Technology Equipment

Oneoftheeffortstosupportcapacitydevelopmentinequipmentandinfrastructure is theupgradingof ICTequipmentas thebasisofa reliablemanagement information system. This includes computer hardware witha higher capacity, and software that is more sophisticated, user-friendlyandeasilyaccessible.Inaddition,toincreasecapacityofhumanresources,supporting facilities such as magazines and books about informationtechnologyarealsoneeded.

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6. Training for Survey Personnel

Effectivetrainingisnecessaryforsurveypersonnelinvolvedincensus,monitoring,verificationanddata-recording.Thiskindoftrainingisprioritizedforsurveyswithlongperiodicity,suchasthoseconductedatleasteverythreeyears,orsurveysthatusepredominantlynewenumeratorsorfieldpersonnel.Trainingeffectiveness isaccomplishedby reducing the training frequencyofannualsurveysorbycombiningthetrainingofsimilarsurveys.Further,trainingeffectivenesscanalsobeachievedbyusingmultimediatools,suchasteleconferencesanddeliveringthetrainingmaterialonvarioustypesofmedia,suchasvideos,CDs,diskettes,andotherformats.

7. Upgrading Infrastructure Facilities

Upgrading infrastructure and facilities (particularly office buildings)isapartofinstitutionalcapacityimprovementeffortsatBPSHeadquarters,STIS, Education and Training Center and regional BPS offices. This coversbuildingmaintenanceandrepairs,buildingfacilitiesimprovement,buildingrehabilitationandrenovation,fencing,aswellaslandandbuildingacquisitionforexpansionofBPSoffices.Adequatebuildingfacilitiesprovideaworkingenvironment that is comfortable, convenient and secure to facilitate BPSoperationalactivities.

8. Upgrading Other Facilities

Besides building facilities, it is also necessary to upgrade otherfacilities. This involves the procurement, maintenance and rehabilitationof office facilities at BPS Headquarters, STIS, Education and TrainingCenterandregionalBPSoffices.Procurementofofficefacilitiescoverstheprovision of some office equipment, equipment for statistical activities forfieldimplementationsandprocessing,aswellasprovidingfour-wheelandtwo-wheel vehicles for field operations. This will support the efficiency ofadministrativeservicesandoveralloperations.

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CHAPTER VIIPERFORMANCE MONITORING AND EVALUATION

A. Performance Indicators Themainpurposeofperformanceevaluationsistogetinformationanddraw lessons from experiences regarding results, benefits and impacts ofactivitiesthathavejustbeencompleted,aswellasthosethathavebeenon-going.Theseforminputsfordecisionmakingintheframeworkofplanning,implementation, monitoring, checking and reviewing. Accordingly, theevaluation can contribute to improving the performance of on-going andfutureactivities,especiallygivenlimitedresources. SincetheperformanceevaluationofeachgovernmentinstitutiongoesintotheReportofPerformanceAccountabilityofGovernment Institutions(LAKIP), the best performance indicators to be used by BPS as a guidefor activity scoring relate to the Agency’s technical performance. Theseperformance indicators evaluate, among others, development, accuracy,andtimelinessofdataproduced. Certain outcome indicators are also used to judge how beneficial oruseful the statistics data produced by BPS is for society. These indicatorsinclude the number of visitors and data users attending the BPS library,numberofpeopleusingtheBPSwebsite,andlevelofdatarequestsmadebystakeholderstoBPSsubjectmatters.

B. Performance Monitoring Monitoring of statistical activity implementation will be conductedcontinuouslytoreviewthedevelopmentandprogressstatisticalactivities,toidentifyproblemsanddeviations,toformulatesolutionstoproblems,andtoproduceperiodicshort-termprogressreportsatcentralandregionallevels.

C. Performance Evaluation BPS performance can be judged from the completion of work anddisseminationfromseriesofstatisticsprovidedperiodically.Fluctuationsineconomicconditionsaredescribedbystatisticswithshortperiodicity,whilestatisticsonsocialchanges,whichoccurmoreslowly,willbecollectedandpublished annually or longer periodicity. Monthly dissemination targetscover various kinds of statistics such as price/ inflation, export/ import,transportation, and tourism. Quarterly targets cover economic growth,businesstrends,andforecastedproductionofriceandnon-ricecrops.Othereconomicstatistics,likesocialstatistics,aredisseminatedannually,especiallycoreindicatorsregardingpeople’swelfare,andmoredetailedindicatorswillbepublishedeverythreeyearsormore(seeAttachmentB).

D. Eliminating Corruption, Collusion and Nepotism (KKN) Tooptimizetheresultsofactivitiesperformedwith limitedresourcesandbudget,BPSwillconductcomprehensivemonitoringoverall financial

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management and statistical activities. Besides technical monitoring,as explained above, the eradication of KKN will be promoted throughmonitoringwealthofofficials,financialmanagement,improvingqualityofservicetothepublicandtakingactionagainstKKNpractices. OnestrategytoeradicateKKNisthroughICTapplication.BPSwillusethe existing management information system (MIS) to manage personnel,finance,equipment,andotherstoeradicateKKN.

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CHAPTER VIIICONCLUSION

It would not be incorrect to say that “statistics is expensive, butdevelopment without statistics is much more expensive.” If a decision onsubstantialresourcesismadeonlybasedonfeelingorintuition,notonrealfacts,itwilllikelyresultinahighlevelofuncertainty,leadingtohighcostofinefficiencyinstatebudgetmanagement. Ontheotherhand,evenifdecisionsaremadebasedonstatistics,ifthestatisticsisoflowqualityanddoesnotreflecttherealconditions,thensuchdecisionswillbewronganyway.Therefore,improvingthequalityofdataisoneofthecorestrategiesinBPS’StrategicPlanfor2005-2009.Attheforefrontofensuringthequalityofdataisthequalityhumanresources,especiallyintheregions.Thus,thiswillbethefocusofBPSefforts,sothatqualityofinputsintopolicymakinginthiscountrywillimprove.Consequently,managementmustbemoretightlycontrolledandmonitoringinthefieldincreased. Even good data will be of little use if decision makers do not haveaccesstothesedata,orarenotcapableofutilizingthedata.Giventhattheseconditionsexist,theBPSStrategicPlanalsoemphasizesrevitalizationofthestatisticsreferenceinformationsystem(SiRusa),especiallyinthecentralandregionalBPSoffices.Consequently,BPSofficesneedtoincreaseitsadvocacyand coordination with regional government personnel in their province,districtsandcities,sothatsectoraldatacanbecollectedandutilizedbyallstakeholders. Comprehensiveness of available data is one of the requirements ofqualitystatistics.SincedataproducedbyBPSdonotyetcoverregionspecificandsmallareastatisticsrequiredfordecisionmakingattheregionallevels,theBPSStrategicPlanplacesaheavyemphasisonclosingthesegaps.Thisrequiresadjustmentsinsamplingmethodsandconductingspecificstudies. Although all the efforts mentioned above are on going processes, itdoesnotmeanthatwecanstophere.Inadynamicenvironment,changesinvariousaspectsandanglescantakeplaceanytimeandwillbefollowedby changing data needs. Also, data needs stated in the RPJM have alsonotbeenfulfilledcompletelybytheexistingdatacollectionsystems.Asaninstitutiontosupportgoodgovernance,BPShasnoalternativebuttoalwaysbeproactiveinobservingpossibledevelopments,sothatfuturedataneedscanbeanticipated. Therefore, BPS has included action plans in the BPS Strategic Plan,whichwillbeusedasthebasisfordesigningtheBPSannualworkplan. Itiswiththededication,diligence,opennessandhonestyofthestaffthat BPS can thrive and be respected, as well as contribute positively toIndonesia’s progress and development. May the Almighty God bless thecontributionsofBPSanditsstaff.

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27

Attachment AList of BPS Programs and Activities related with RPJM

Years 2005-2009RPJM Priority

Agenda Programme/Activities at RPJM Type of Statistics/Indicators for RPJM Monitoring and Evaluation BPS Data Source and Type of Activities

Improving trust and harmony of different groups in society Social resilience and sensitivity index Social resilience and capital surveyCreating a safe and

peaceful Indonesia Improving security, orderliness, and crime prevention

Crime rates, crime clocks, number of police per 10.000 population, number of villages with neighborhood security system (siskamling)

National socio economic survey (Susenas), compilation of crime statistics, sub-district potential census

Eradicating various kinds of discrimination All statistics based on sex, area, income quintile, indicator ratio in sex, area, Q1 vs Q5

Statistics processing with details according to sex, area, and income

Improving quality of women’ss life and roles as well as children’s prosperity and protection

- GDI, GEM - All statistics based on sex and age groups- Time allocation statistics (time use survey)- Statistics of female/ children violation (KTP/KTA)- Child-labor statistics

- Statistics processing with details based on sex and age groups from Susenas, Supas, Sakernas - Time allocation survey (time use survey)- Statistics of women and children violations

Revitaling process of decentralization and regional autonomy

People’s progress indicators based on districts, small areas and local specific statistics

Village potential censusPopulation census Small area and local specific surveyEstimates of statistics/ people’s progress indicators per sub-district from Susenas, PC, EC, AC, Podes set of data

Creating just and democraticIndonesia

Creating clean and dignified government administrations Number of white collar crimes

- Implementing technical education and trainings, management, functional and administration

- Facility improvement programme- Implementing state and governmental leadership

programme- Developing a statistics information system- Developing a data processing system- Developing reference statistics system with legal sectoral

data

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28

RPJM Priority Agenda Programme/Activities at RPJM Type of Statistics/Indicators for RPJM Monitoring and

Evaluation BPS Data Source and Type of Activities

Poverty alleviation Absolute poverty indicators (poverty is measured on calorie intake, spending), average wages, relative poverty indicators (poverty is measured by access to public services or non-monetary indicators, human poverty index)

- Susenas - Labor’s wage survey

Improving non-oil investment and export - Non-oil export volumes (quantum and US$ value) based on commodity and designated countries- Investment (amount and US$ value) approved and realized based on areas and sectoral investments

- Compilation of export-import statistics - Special survey on households saving and investment (SKTIR)- Compilation of BI and BKMP reports

Improving competitiveness of manufacturing industry

- Large and Medium Scale industrial surveys- Integrated business survey (Susi), IKKR statistics - Mining, construction, energy surveys

Revitalizing agriculture

- Productivity (GKG/ha), planting area/harvest, production GKG/rice (ton ) per year

- Sea/ land fishery production (ton per year)- Mapping potential areas of horticulture/plantation- Provincial areas of HTI (ha), KHL (ha), HPH (ha)

- Survey of Tabama agriculture, horticulture- Survey of farming and fishing cost structures - Survey of plantation, forestry- Survey of fishery, farming - 2003 agriculture census

Empowering cooperatives and micro, small, and medium enterprises (UMKM)

- Number of UMKM according to kinds of business/ commodity and areas - Number of UMKM workforce according to areas- UMKM contribution in GDP/GRDP- Number of credits (users and value in Rp)

- Economic Census- Susi (Survey of Integrated Business)

Improving abilities in science and technology

- Number of (S1/S2/S3) graduates, specialists, experts, researchers in various disciplines- Number of inventions (patented and not)

- Susenas, large & medium scale industrial survey - Compilation of LIPI, BPPT, HAKI Dit. Gen reports

Improving the employment situationEconomic growth, PMTB, ICOR, sectoral ILOR, non-formaleconomic activity growth, average of sectoral labor’s wage/ income, key indicators of labor market [KILM] modified from Sakernas, Susenas

GDP calculation from production and consumption sides, SKTIR, Sakernas, labor’s wage survey, calculation of ICOR, ILOR

Improving People’sWelfare

Achieving macro economic stability Economic growth, PMTB, ICOR, sectoral ILOR, non-formaleconomic activity growth, average of sectoral labor’s wages/ income, key indicators of labor market [KILM] modified from Sakernas, Susenas, inflation [core and headline]

- Economic census - Survey and formulation of national balance sheet- Survey of consumers prices, producers, cost of living- Sectoral survey of services, transportation andcommunication, hotel and tourism- Survey of regional finance, financial institutions

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29

RPJM Priority Agenda Programme/Activities at RPJM Type of Statistics/Indicators for RPJM Monitoring and

Evaluation BPS Data Source and Type of Activities

Rural Development Number and percentage of sub-districts with specific characteristics

- Recording of sub-district potentials - Economic census - Population census - Agriculture census

Discrepancy Reduction Gini ratio Susenas (National Economic Survey)

Area Development HDI, IKM - Sub-district surveys- All regional surveys

Society’s access to quality education NBR, GDR, SPR, School Duration Average [SDA], passing rate of UAN [SD, SLTP, SLTA], Average of NEM Susenas (education)

Society’s access to quality education Number of visits, contacts, morbidities, balita’s nutritional status, household percentage consuming iodine salt

- Susenas (health)- Survey of Indonesian demography and health (SDKI)- Survey of balita’s nutrition/ weight scaling - Survey of iodine salt

Improving social protection and welfare PMKS indicators Susenas (social welfare)

Developing quality population and small families as well as youth and sports TFR, NRR

- Susenas (socio-culture and sports)- Survey of inter-census population- Survey of Indonesian demography and health

Improving quality of religious life Religion indicators Population census Improving the management of natural resources and preserving environment functions

Environmental indicators Environment survey

Improving People’sWelfare

Speeding up infrastructure development Indicators of infrastructure development Village potential survey

�0

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Attachment BBPS Programs and Activities for Years 2005-2009

Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 2009Statistics Improvement and Development ProgramSE2006 2006 Economic Census 13140 Updating of sketch maps of census

blocks and administrative regionsLatest sketch maps of CB and administrative regions √ - - - -

14310 Enumeration of village potential (Podes) Indicators of infrastructure related to economic sector √ - - - -

Field trial of building and company/ business registration

Registration method of building and business √ - - - -

Business registration Directory of non-agricultural businesses - √ - - -

Census of micro, small and medium business (UMKM) UMKM data and indicators - √ √ - -Census of big scale companies Economic sector data and

indicators - - √ - -Compilation of directory of large scale industries

Directory of large scale industries - - √ - -

Processing Raw data √ √ √ √ -16310 Analysis Review/ profile of provincial

economy - - √ √ -SP2010 2010 Population Census (PC)14110 Pilot/ field trial - - - √ -13140 Formulation and mapping of census

blocks (CB)Latest sketch maps of CB and administrative regions - - - √ √

14110 Registration of buildings and households Number of population and households - - - - -

Development of KCI and mapping of administrative regions

Up-to-date MFD and area maps √ √ √ √ √

14110 Census of households Demographic parameters - - - - -14310 Enumeration of village potential (Podes) Infrastructure and natural

resource indicators - - - - √14100 Inter-census population survey (Supas) Demographic parameters √ - - - -0137 Population Survey0137.01 Wage survey Wage rate indicators √ √ √ √ √0137.02 Wage structure survey Wage rate indicators √ √ √ √ √0137.03 Annual national labor force survey

(Sakernas) Labor force indicators √ √ √ √ √0137.04 Statistics of youth employment Youth labor indicators - √ √ √ √0137.05 Compilation of demographic parameters

from 2005 Supas resultsDemographic parameters

- √ - - -0137.06 Calculation of projection per province

2005 – 2010 from 2005 Supas resultsDemographic parameters

- √ - - -0137.07 Study of child labor 2006 Child labor indicators √ √ √ √ √0137.08 Quarterly Sakernas trial Labor force indicators √ - - - -0137.09 Projection of district/ city population Projection of district/ city

population - √ √ √ √0137.10 Compilation of GRDP for fiscal balancing

policy 2006Regional economic growth

- √ √ √ √0137.11 Calculation of human development index

2006Human development index

- √ - √ √0137.12 Housing and environmental health

indicators 2007Housing and environmental health indicators √ - √ √ √

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090137.13 Unemployment statistics Unemployment statistics - - √ √ √0137.14 Indonesian Youth Statistics 2005 Indonesian Youth Statistics √ - - - -0137.15 Production & printing of exclusive

publication of 2000 PC resultsExclusive publication of 2000 PC results √ - - - -

0137.16 Survey study of time use Time use parameters - - √ - -0130 Industry Survey 0130.01 Annual large and medium industry survey Directory of large and medium

industries √ √ √ √ √

0130.02 Quarterly and monthly large and medium industry survey

Directory of large and medium industries √ √ √ √ √

0130.03 Survey of construction, mining and energy Statistics of construction, mining and energy

√ √ √ √ √

0131 Agricultural Survey 0131.01 Agricultural survey of food crops Agricultural households and

harvest areas √ √ √ √ √0131.02 Survey of large plantations, forestry and

crumb rubberDirectory of large plantation companies, forestry and crumb rubber

√ √ √ √ √

0131.03 Statistical survey of animal husbandry, fishery, TPI and RPH

Directory of animal husbandry, fishery companies √ √ √ √ √

0131.04 Survey of horticultural companies and compilation of agriculture indicators

Directory of horticultural companies & agriculture indicators

√ √ √ √ √

0131.06 Inter-census agricultural survey Rice production forecast - - - √ -0131.07 Study of rumpun counting method Review - √ - - -0131.08 Survey of unhusked-milled rice conversion Unhusked-milled rice

conversion - - √ - -0131.09 Census of sea fishing households Sea fishing households √ - - - -0131.10 Compilation of agricultural land conversion Agricultural land conversion - √ - - -0131.11 Survey of plantation wage Statistics of plantation wage √ - - - -0133 Trade Survey 0133.01 Compilation of export statistics data Export statistics √ √ √ √ √0133.02 Compilation of import statistics data Import statistics √ √ √ √ √0133.03 Statistics of wholesale price National IHPB weight √ √ √ √ √0133.04 Pilot survey of producer price - √ √ √ -0133.05 Statistics of rural producer and consumer

prices Unhusked rice producer price √ √ √ √ √0133.06 Change of base year and rural inflation NTP base year diagram √ √ - - -0133.07 Statistical survey of consumer price and

survey of retail rice sales volume Retail rice sales volume √ √ √ √ √0133.08 Survey of regional finances and BUMN/

BUMD finances BUMD statistics √ √ √ √ √0133.09 Survey of financial institutions and

monitoring of foreign exchange-rateBI rate, exchange rate, insurance √ √ √ √ √

0133.10 Pilot study of cooperatives Review - - √ - -0133.11 Households registration for cost of living

survey 2007 SBH Households - - √ - -0133.12 Compilation of cost of construction index Cost of construction indicators √ - √ - -0133.13 Cost of living survey 2007 - - √ - -0133.14 Survey of building material use Prices of building material/

construction √ - - - -

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090133.15 Integrated Enterprises Survey (SUSI) Directory of integrated

enterprises √ - - - -0133.16 Survey of legal business trades Directory of legal business

trades√ √ √ √ √

0134 Transportation Survey Statistics of length of roads, vehicles, statistics of public transportation, goods, statistics of telecommunication

√ √ √ √ √

0135 Survey in Service Sector and Tourism Occupancy rate, length of stay, foreign tourists, domestic tourists

√ √ √ √ √

0138 Mining Survey Mining statistics √ √ √ √ √0141 Survey in Environment and Landscape Environment statistics √ √ √ √ √0141.01 Compilation of Indonesian statistics,

indicators of sustainable development, statistics of resources at sea and seashore, study of impacts of households garbage disposal on public health, and study of impacts of insecticide use in households

Environment statistics √ √ √ √ √

0142 Survey in Social Economy0142.01 National socio economic survey (Susenas) Indicators of people’s welfare,

poverty √ √ √ √ √0142.02 Statistics of the elderly and the youth Indicators of the elderly and

the youth √ √ - √ -0142.03 Profile of maternal and child health 2006 Indicators of health - √ - √ -0142.04 Compilation of balance sheet of

government and private companiesBalance sheet of government and private companies √ √ √ √ √

0142.05 Quarterly GDP based on sectors and usage Quarterly GDP √ √ √ √ √

0142.06 Compilation of flow of fund balance sheet Flow of fund account √ √ √ √ √0142.07 Compilation of institutions’ consolidated

balance sheet and compilation of SNNIIndonesia’s national account system √ √ √ √ √

0142.08 Compilation of households’ and non profit institutions’ accounts Directory and LNPRT account √ √ √ √ √

0142.09 Special survey on Input-Output Production/ price indicators √ √ √ √ √0142.10 Compilation of sectoral GDP on-going

basic yearSectoral GDP on-going basic year √ √ √ √ √

0142.11 Quarterly GDP, application of SNA’93 and analysis of 2005 I-O Table Quarterly GDP √ √ √ √ √

0142.12 Compilation of regional account GRDP √ √ √ √ √0142.13 Compilation of special survey on service

trade sector (SKSPJ) Quarterly GDP √ √ √ √ √0142.14 2007 Sisnerling & survey of availability of

goods used (SPPB) Statistics (SPPB) - - √ - -0142.15 Compilation of technical plan √ √ √ √ √0142.16 Post enumeration survey (PES) EC06 - √ - - -0142.17 Compilation of MFD and SIG-S MFD - √ √ - -0142.18 Field implementation - √ - - -0142.19 Processing of building and business

registration results - √ - - -

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090142.20 Trial of PD Census - √ - - -0142.21 Information & socialization of 2006 EC √ - - - -0142.22 Information system development/

compilation of national HSPK & HSU National HSPK & HSU √ √ √ √ √0142.23 Trial of large business & UMKM census UMKM - √ - - -0142.24 Evaluation of sample size calculation in

Susenas per district Indicators of sample size calculation in Susenas - - √ - -

0142.25 Health indicators Health indicators √ - - - -0142.26 Compilation of balance sheet in agriculture

and industry/ special I-O survey. Indicators for compilation of balance sheet in agriculture and industry/ I-O special survey.

√ √ √ √ √

0142.27 Training of regional instructors for listing for 2006 EC Number of regional instructors √ √ - - -

0142.28 Updating directory of construction companies

Latest directory of construction companies √ - - - -

0142.29 Updating companies in integrated EC06 Company directory in integrated SE06 - - √ √ √

0142.30 Compilation of statistics in 60 years of Indonesia independence

Statistics in 60 years of Indonesia independence √ - - - -

0142.31 Compilation of GRDP statistics GRDP - √ - - -0142.32 Time use survey Time use review - - √ √ √0142.32 Analysis of income per capita Income per capita - - √ √ √0145 Survey in Politics, Defense & Security0145.01 Compilation of statistics on politics and

security 2006 crime statistics and violence indicators

Violence indicators √ √ √ √ √

0145.02 Compilation of indicators and social sensitivity index Social sensitivity indicators √ √ √ √ √

0145.03 Developing social and regional statistics Region specific social indicators √ √ √ √ √

0145.04 Survey in social sector & social sensitivity 2007 Social sensitivity indicators - - √ - -

0145.05 Publishing review and anticipation of natural disasters in Indonesia Publication - √ - - -

0145.07 Survey of society’s perception regarding 2004 general election and its impacts in society’s security and orderliness

Social & Defense and Security Indicators √ - - - -

1437 Integration of Technical Planning, Implementation and Performance Evaluation

1437.01 Evaluation of BPS activities √ √ √ √ √1437.02 Study of performance evaluation and

targets of district/ city BPS’ functional budget

Review of performance evaluation - √ - - -

1437.03 Compilation of BPS state ministry/ institutional work plan (RENJA KL) & documents

BPS institutional work plan - - √ √ √

1437.04 Evaluation of BPS long & medium term planning

BPS long & medium term planning - - √ √ √

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090040 Developing Management Information

System0040.01 Developing services for data

communications network & long-distance online access

Online access through data communications network √ √ √ √ √

0040.02 Developing database system SIMPeg, SIMBek, SIMKeu - √ - - -0040.03 Developing & improving integrated data

processing system Integrated Data Processing Guide √ √ √ √ √

0040.04 Procurement and maintenance of computer and informatics engineering equipment

Hardware, information technology guides, hardware troubles system guide

√ √ √ √ √

0040.05 Developing & improving statistics publication system of electronics media design & BPS publications catalog

Statistics publication system of electronics media design & BPS publications catalog

√ √ √ √ √

0040.06 Creating BPS statistics documentation data base in HQ & provinces through file archive retention

Statistics documentation data base - √ √ √ √

0040.07 Improving & developing appearance of electronic statistics & website BPS Website √ √ √ √ √

0040.08 Improving metadata services of basic, sectoral and special statistics activities

Metadata services of basic, sectoral and special statistics activities

√ √ √ √ √

0040.09 Developing statistics information system BPS Website √ √ √ √ √0040.10 Planning support √ √ √ √ √0040.11 Developing data dissemination system Data dissemination system √ √ √ √ √0040.12 Developing numbering system and

compiling BPS electronics publication catalog, publication management as well as socialization of standard regions-in-numbers publications

Electronic publications √ √ √ √ √

0040.13 Developing information and improving institutional processing √ √ - - -

0018 Pioneering Higher Education0018.01 Early stages of on-the-job training in

statisticsGuide and questionnaire of field-job training

√ √ √ √ √

0018.02 Late stages of on-the-job training in statistics

Report of field-job training results

√ √ √ √ √

0018.03 Education of statistics graduate and study assistance

Number of new STIS students, number of STIS students, number of STIS graduates

√ √ √ √ √

0018.04 Micro teaching Training for teaching and learning

Number of participants & graduates - √ - - -

0021 Workforce Skills Training0021.01 Course for treasurer Number of participants &

graduates√

- - - -0021.02 Establishment of standard competencies

for BPS structural positionsNumber of participants & graduates - √ √ √ -

0021.03 Election of KSK of the year 2006 KSK of the year in 33 provinces - √ - - -

0021.04 Study of BPS employee performance Performance indicators - √ - - -

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090021.05 Developing long-distance Training Center

based on multimediaNumber of participants & graduates √ √ √ - -

0021.06 Training of functional position appraisal team of computer personnel Appraisal team - √ √ √ -

0021.07 Training of functional position appraisal team of statisticians Appraisal team - √ √ √ -

0021.08 Training of employee discipline problem solving management

Number of participants & graduates - √ √ √ -

0021.09Statistical analysis training Number of participants &

graduates - - √ √ √0021.10 Training of functional statisticians, expert

level Number of functional personnel - √ - - -0021.11 Training of functional statisticians, skilled

levelNumber of functional personnel - √ - - -

0021.12 Training of functional computer personnel, expert & skilled level

Number of functional personnel - √ √ - -

0021.13 Training of system development methods of integrated database

Number of participants & graduates √

0021.14 Regional course on poverty measurements

Number of participants & graduates - √ √ - -

0021.15 Technical upgrading of finance administration

Number of participants & graduates √

0021.16Regional counseling of program upgrade

Number of participants & graduates √ √ √ √ √

0021.17Training of institutional accounting system

Number of participants & graduates - √ - - -

0021.18 Production of Lakip Lakip - √ √ √ √0021.19 Development of client server application

based on Linux Client Server based on Linux √ - √ - -0021.20

Long distance training of basic statistics Number of participants & graduates -

√ √- -

0021.21 Developing BPS trainer competencies in accordance with quality improvement of BPS training personnel

BPS trainers - - √ - -

0021.22 Workshop on analysis & BPS data mapping Number of participants - - √ - -

0021.23 Production of audit report year 2007 Audit result - - √ - -0021.24 Training on production of BPS

accountability report for government institution performance

Number of participants & graduates √ - - - -

0021.25 Annual Monitoring Work plan 2006 Work plan - √ √ √ √0021.26 Training for BPS project officers and

routine budget officers (PJAR) Number of participants & graduates √ - - - -

0021.27 Establishment of job qualification - √ √ √ -0021.28 Improving personnel information system Simpeg - √ - - -0021.29 Achievement motivation - √ √ √ √0021.30 Employment upgrading & new employee

recruitment Simpeg - √ √ √ √0021.31 Program of improving accelerated

promotion & socialization of retirement SK Simpeg - - √ - -0021.32 Research households consumption with

retail market approach Review - √ - - -

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090021.33

Standard classification trial of Indonesian households’ expenditure/ consumption

Standard classification for Indonesian households expenditure/ consumption

- √ - - -

0021.34 Training of integrated data processing with CSPRO for district/ city

Number of participants & graduates - √ - - -

0021.35 Training for BPS new employees - - √ - -0021.36 Analysis system for quality improvement

of statistical data processing systemStatistics data processing system - - √ - -

0021.37 Training of trainers (TOT) of functional computer personnel

Number of participants & graduates - - √ - -

0021.38 Trainers upgrade at BPS Education and Training Center (Pusdiklat) Number of trainers √ - - - -

0021.39 Development of training information management system–BPS Pusdiklat

Training information management system √ - - - -

0021.40 Basic database programming with visual basic

Basic database program with visual basic √ - - - -

0021.41 Study of alternative methods in calculating rice-field productivity in Deli Serdang district, North Sumatra and Lampung Tengah district, Lampung

Review of alternative methods in calculating rice-field productivity

√ - - - -

0021.42 Development of Inter-Province Development Index

Indicators of inter-province development rate √ - - - -

0021.43 TOT of first level trainers (widyaiswara) Number of participants & graduates √ - - - -

0021.44 SHPKP Training Number of participants & graduates √ - - - -

0021.45 Study of KSK placement at district/ city Review of KSK placement at district/ city - √ - - -

0050 Developing/ Collecting/ Processing/ Updating/ Analysis of Data and Statistics

0050.01 Improving commodity classification, standardization & statistics terminology

Commodity classification & standardization √ √ √ √ √

0050.02 Preparing, improving, & developing main sample-frame MFD √ √ √ √ √

0050.03 Susenas sampling error Indicators of people’s welfare - - - √ -0050.04 Subsectoral AC 03 sampling error Agriculture indicators - √ - - -0050.05 Quarterly Sakernas sampling error

2002–2004 Indicators of people’s welfare - - - √ √0050.06 Study of sampling unit formation (CB &

SLS)Review of study result of sampling unit formation - √ √ - -

0050.07 Development of people’s welfare indicators Indicators of people’s welfare √

√ √√ √

0050.08 Improving & upgrading the production of statistics reports Statistics report √ √ √ √ √

0050.09 Study of Podes data consistency Review - √ - - -0050.10 Business & consumer trend index and

compilation of previous indicators analysisConsumer & business cycle index √ √ √ √ √

0050.11 Analysis & calculation of poverty rate Review √ √ √ √ √0050.12 Development of program & work plan/

technical program Program & work plan √ √ √ √ √0050.13 2005 Supas sampling error Demographic indicators - √ - - -0050.14 Updating digital maps and MFD Updated MFD and rural area

maps √ √ √ √ √

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Activity Number Program/Activities Performance Indicators Fiscal Year

2005 2006 2007 2008 20090050.15 Developing & improving classification,

concept definition and statistics sizeClassification, concept definition and statistics size - - √ - -

0050.16 Study to determine minimum sample size in social survey of population

Minimum sample size in social survey of population √ - - - -

0050.17 Study to determine minimum sample size in social survey of agriculture

Minimum sample size in social survey of agriculture √ - - - -

0050.18 Cost analysis of education investment benefits in Indonesia

Cost of education investment benefits √ - - - -

0050.19 Practical manual of survey design Survey design - - - √ -0050.20 Socialization of practical manual of survey

design Survey design - - -√ √

0050.21 Updating administrative areas Updating administrative areas in Indonesia - √ - - -

0050.22 Preparation of remote villages maps publication 2006 Latest remote villages maps - - √ - -

0050.23 Mapping of administrative mapping and census block in West Sumatra Province

Updating administrative areas in West Sumatera √ - - - -

0050.24 Analysis of educated unemployment Demography parameter √ - - - -0050.25 Analysis of social sensitivity Social economy parameter √ - - - -0050.26 Analysis of employment and poverty in

IndonesiaDemography & poverty parameter √ - - - -

0050.27 Analysis of 2003 agriculture census result Review √ - - - -0050.28 Study of formal/informal sectoral data

evaluation Review √ √ - - -Facility and Infrastructure Improvement Program 0161 Procurement of disaster mitigation

equipment Back up hydrant and anti-termite spray √ √ √ √ √

0270 Procurement of building facilitiesAC, STP pump, sound system, spare neon sign √ √ √ √ √

0273 Procurement of furniture Spare tables and chairs √ - - - -0276 Procurement of farming tools Spare farming tools √ √ √ √ √0277 Procurement of data processing tools Spare data processing tools √ √ √ √ √0289 Procurement of two-wheeled vehicles New motorcycles for KSK - √ - √ -0290 Procurement of four-wheeled vehicles New car for BPS district/ city √ - √ - √0167 Development of facilities within the

buildingNew BPS office building in district/ city √ √ √ √ √

0168 Development of clean water/ waste facilities

Clean pump and new water filter √ √ √ √ √

0205 Office building maintenance New BPS office building in district/ city √ √ √ √ √

Procurement of computer Spare computers √ - - - -Implementation of State and Government Leadership Program0119 Implementation of government

administration √ √ √ √ √0119 Maintenance of facilities and infrastructure √ √ √ √ √

��39

Attachment CProposed BPS Budget for Years 2005-2009

The overallbudgetrequiredtocarryoutallBPSprogramactivities incentralandregionallevelsduringtheyears2005-2009foreachprogramisasfollows.

BPS Proposed Budget by ProgramYears 2005-2009

(Billion Rp)

BudgetrequiredProgram

2005 2006 2007 2008 2009

1. ImprovementandDevelopment ofStatistics 236.5 547.1 587.1 704.5 880.7

2. ImprovementofFacilitiesandInfrastructureforGovernmentPersonnel

38.0 79.4 140.4 168.5 210.6

3. AdministrationofStateandGovernmentLeadership

226.9 377.7 507.2 608.6 760.8

Amount 501.4 1,004.2 1,234.7 1,481.6 1,852.1

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2005-2009 BPS - STATISTICS INDONESIASTRATEGIC PLAN

FORMULATION TEAM

Steering Committee

1.RusmanHeriawan

2.SubagioDwijosumono

3.MuljonoMoeah

4.SlametSutomo

5.Pietojo

Formulation Team

1. SiharLumbantobing

2. WynandinImawan

3. SoedartiSurbakti

4. PajungSurbakti

5. AgusSuherman

6. AbdulRachman

7. AliRosidi

8. SHappyHardjo

9. ArizalAhnaf

10.EriHastoto

11.ArieSukarya

12.MSairi

13.BambangHeruSantosa

14.SasmitoHadiWibowo

15.HamonanganRitonga

16.IbramSyahboedin

17.Suradi

18.M.Haryono

19.EniLestariningsih

20.Fatimah

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Badan Pusat StatistikJL. Dr. Sutomo No.6-8, Kotak Pos 1003, Jakarta-10010 Telepon : 3841195, 3842508, 3810291-5 Telex : 45159, 45169, 45325, 45375, 45385 Fax : 3857046, Email : [email protected] Homepage : http://www.bps.go.id