Simulasi MC Mhsw Udinus

8/3/2019 Simulasi MC Mhsw Udinus

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ata Preparation and Distributi

Permintaan loss van yg

kota A bahan baku (dlm %) digunakan

350

350

400

250

300

200

400

200

300

300

300

400

200

200

300

400

300

300

250

400300

300

300

400

250

300

300

300

200

300

300400

300

400

400

400350

200


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300

250

300

200

200

200

300

200

300

200

350

400


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n Estimation

Permintaan Cumulative Relative Cumulative

kota A Frequency Frequency Probability

Total

Loss Cumulative Relative Cumulative

Bahan Baku Frequency Frequency Probability

total

van Cumulative Relative Cumulative

Generating Probability Distribution for Permintaan

Generating Probability Distribution for Loss Baha

Generating Probability Distribution for Van


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yg digunakan Frequency Frequency Probability

total


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Relative

Probability

Relative

Probability

Relative

Kota A

Baku


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Probability


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escriptive Statistic Result

loss BB

n

Mean max

Standard Error min

Median log n

Mode k

Standard Deviation Class IntSample Variance

Kurtosis

Skewness

Range

Minimum

Maximum

Sum

Count

Largest(1)

Smallest(1)

Confidence Level(95.0%)

Penentuan Interval Kel

Class Limit


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Frek kumulatif frek relatif Probabilitas

s


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Uji Distribusi

Oi

Distribusi Normal

Average Value :

Standard Deviation :

Chi-Square Probability :

Counted Chi Square :

Tabel's Chi-Square :

Result Analysis :

H0 : Relative Prob. Fits to Normal Distribution

H1 : Relative Prob. Fitless to Normal Distribution

If X2 counted > X2 Tables, H0 would be refused

If X counted < X Tables, H0 would be accepted

FITLESS

Distribusi Eksonensial

Result Analysis :

H0 : Relative Prob. Fits to Exponential Distributio

H1 : Relative Prob. Fitless to Exponential Distribu

If X2

counted > X2

Tables, H0 would be refused

Class Limit Class Boundaries

Result : Relative Probability :

itting Input Distribution Trough "Chi-


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Result : Relatife Probability :

Distribusi Poisson

:

:

:

:

:

Result Analysis :

If X2

counted > X2

Tables, H0 would be r

If X2

counted < X2

Tables, H0 would be accepted

Result : Relative Probability :

Counted Chi Square

Tabel's Chi-Square

H0 : Relative Prob. Fits to Poisson Distribution

H1 : Relative Prob. Fitless to Poisson Distribution

Standard Deviation

Chi-Square Probability

Average Value


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P(b) P(a) P Ei

ion

with Normal Distribution

quare Goodness of Fit" Test

Normal


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fused

with Poisson Distribution

with Exponential Distribution


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1. Distribution of Permintaan Lampu di kota A

Permintaan Cumulative Relative

( buah ) Probability Probability

2. Distribution of loss Bahan Baku

Penjualan Cumulative Relative( % ) Probability Probability

3. Distribution of Van

Van Cumulative Relative

Probability Probability Generation

Random Number

reparing The Measurement of S

Random Number

Generation

Generation

Random Number


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4. Kota A

Minggu Random Digit Permintaan


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loss

Minggu

VLOOKUP TABLE

mulation

VLOOKUP TABLE

VLOOKUP TABLE


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8. van Generated

Minggu andom Digi van


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stedev 6.894659276

mean 17.12

Random Digit rand normal % loss sel


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alidation Simulation Model1. Kota A

Permintaan Cumulative Relative

( buah ) Frequency Frequency

Permintaan

( buah ) Actual Simulation

Total

:



Result Analysis :

H0 : Simulation Result Fits to Actual Data

H1 : Simulation Result Fitless to Actual Data

If X2 counted > X2 Tables, H0 would be refused


FITLESS


Result : Simulation Result : with Actual Data

Simulation Result for Kota A

Validation for kota A

Relative Frequency


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2. Simulation Result for Van

Van yg Cumulative Relative

dipakai Frequency Frequency

N

E

X

T


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Van yg

Digunakan Actual Simulation

:



Result Analysis :H0 : Simulation Result Fits to Actual Data


If X2

counted > X2



FITLESS

3. Loss Bahan Baku

Frekuensi Kumulatif Frekuensi Relatif

Data Aktual Simulation result

Validation for Van Yg Digunakan

Relative Frequency


with Actual Data

Simulation Result for Loss BB

Class Limit

Validation for HPP

Result : Simulation Result :

Class Limit


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:

Counted Chi Square :Tabel's Chi-Square :

Result Analysis :

H0 : Simulation Result Fits to Actual Data


If X2

counted > X2



FITLESSResult : Simulation Result : with Actual Data



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Permintaan Loss BB jenis kapasitas bahan baku

kota A van diterima

1

2

3

4

5

6

78

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

2829

30

31

32

33

34

35

imulation Table

Tender


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36

37

38

39

40

4142

43

44

45

46

47

48

49

50


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yang yg tidak hpp rugi laba kotor Earning

selesai selesai pesanan Before Tax


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Pajak earning Akumulasi Nilai Net Income

0 After Tax Penyusutan Sisa Cash Flow


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1. Rata-rata Laba Kotor

2. Rata-rata Earning Sebelum pajak

3. Rata-rata Earning Setelah Pajak

4. Rata-rata Net Income Cash flow

5. Rata - rata Beban Pajak

Total NICF:

Total Tender

Total Tender

Total Beban Pajak:

Total Tender

Total Harga Earning Sebelum pajak:Total Tender

Total Earning Setelah Pajak:

imulation Result Analysis

Total laba kotor:

Total Tender


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Simulasi MC Mhsw Udinus

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