Analisis kelayakan penambahan mesin guna peningkatan kapasitas produksi di PT. Tri Ratna Diesel Indonesi Driyorejo Gresik - Widya Mandala Catholic University Surabaya Repository

(1)

(2)

LAMPIRAN 1. Forecast dengan Metode Winters' Multiplicative

Winters'

Multiplicative

Model

for C1

760

' _Actual

. _Predicted . _Forecast -- _Actual - - - Predic.ted

Forecast

Smoothing Constants Alpha (level): 0.660 Gamma (trend): 0.040 Delta (season): 0.020

MAPE: 1.496

MAD: 9.821

MSD: 293.746

I oeo

560

40

30

20

1 0

0

(3)

l f o r k s h e e t size: 100000 cel ls

Retrieving rorksheet fron file: C : \,|TBWIN\DATA\Skri DSi ,tntw Worksheet was saved on 9,/ 6/200I

l'{acro is runn i ng p l e a s e Fait

Winters' multiplicative model

D a t a C 1

L e n g t h 3 5 . 0 0 0 0 N M i s s i n g 0

Snoothiag Constants

A l p h a ( l e w e l ) : G"'ima (trend ) :

D e l t a ( € c a s o n a l ) : 0 . 0 2 Accuracy Measures M A P E : 1 . 4 9 6 I ' I A D : 9 . 8 2 1 X S D : 293.745

o . 6 6 0 . 0 4

Row Tine

1 1 z 2 J J 4 4 b 5 6 5 7 7 8 8 9 9

1 0 1 0

1 1 1 1

' l ) _{1 )}

1 3 1 3

1 4 1 4

1 5 1 5

r o l t '

1 7 t 7

1 8 1 8

1 9 1 9

2 0 2 0

' r 1 _{) 1} 1 Z Z l z 3 z J

2 4 2 4

a J l l 1 0 l a

2 7 2 7 2 g 2 8 2 9 2 9 3 0 3 0

? 1 ? 1

3 2 3 2

J J J J

3 4 3 4

J f , J f ,

3 6 3 6

c 1 Snooth P r e d i c t 6 3 9 .6 7 4 6 4 4 . 3 r L

o . r a . J L z

6 5 5 . 0 7 0 6 6 3 .3 9 7 6 7 0 . Lt4 6 7 2 . 6 3 0 6 4 4 . 7 8 7 6 8 7 . 4 7 5 5 9 7 .8 0 2 6 7 8 . 9 5 8 6 7 6 . 7 5 3 6 5 5 . 9 7 1 6 4 1 . 8 1 3 646 . L4t

o . r r . J z l

6 5 8 . 9 8 8 6 6 6 . 2 7 7 6 7 5 .1 8 7 5 7 7 . 5 8 4 6 9 2 . 7 0 t 5 9 5 . 6 8 8 7 0 4 . 7 ? 5 6 9 t . 4 2 3 6 2 5 . 5 8 5 6 6 1 . 5 6 9 6 6 8 . 5 9 1 6 7 8 . 5 0 5 5 7 L . Z L 3

o o z . J . t l

5 6 5 . 1 8 9 6 7 | . 6 3 2 6 7 4 . 4 9 4 6 7 9 . s 5 9 5 8 1 . 3 5 6 6 7 9 . 7 5 3

Error - D .6 7 4 4 - 0 . 3 1 0 9 9 . 6 8 8 3 - t . 9 7 0 4 - 3 . 3 9 7 4 - 3 . 1 1 3 8

_ U . b J U I

- 2 . 7 8 6 8 3 . 5 2 4 9 0 . 1 9 8 3 3 3 . 0 4 2 0 - 4 8 ,7 5 2 7 - L 8 .9 7 0 7 o . r 8 7 2

5 . t t 5 u Y

7 . 4 7 7 5 o . 0 1 2 4 o . 7 2 2 7

- 2 . - t u b 5

4 . 3 1 6 1 - 1 . 7 0 0 7

2 . 3 1 1 5 9 . 2 7 4 9 - 6 L .4 2 2 5 3 7 .4 L 4 7 t 2 . 4 3 1 2 7 . 4 0 8 8 - 7 . 5 8 4 6

- L 1 . Z ! t D

- 4 . 5 4 2 5

- J . I U U Y

- 0 . 6 3 1 6 - 9 . 4 9 4 5 - 1 . 0 5 9 4 - 1 1 . 3 5 5 9 - L 4 .7 5 2 9 5 3 9 6 3 7 . 7 6 A

6 4 4 6 4 2 . 4 1 3 6 5 2 640.433

A q q 4 q ? q 1 0

5 6 0 6 5 1 . 2 5 s 6 6 7 6 6 8 . 0 4 0 6 7 2 5 7 0 . 6 3 0 6 8 2 6 8 2 . 7 7 3

o : t l o o f , . t r z /

5 9 8 695.743 7 1 2 6 7 6 . 9 5 5 6 2 A 6 7 3 . 9 8 8 6 3 7 5 5 4 .4 7 t 6 4 2 6 4 0 . 8 1 8 6 5 2 6 4 5 . 1 3 6 6 5 5 6 4 6 . 3 6 9 6 5 9 6 s 7 . 6 2 6 6 6 7 6 6 4 . 9 0 4 6 7 3 6 7 3 . 6 9 9

b 6 a 6 1 A . J Z /

6 9 L 5 9 1 .2 Q 7 6 9 4 6 9 4 , 2 3 4 7 L 4 793 . L96 6 3 0 6 A 9 . 7 0 2 6 6 3 6 2 5 . 4 9 0 6 7 4 6 6 0 . 4 6 9

o / o o o / . l b : , o t I o r r b . u / u

6 4 9 6 6 9 - 7 9 2 5 5 8 6 6 1 .7 0 2 6 6 3 665.462 6 7 L 6 7 0 . 9 8 2

b b 5 b / J . u 5 9

6 7 8 678.669 6 7 0 680.992

D O ) b / 5 . b t t t t

Row I ) J 4 5 6 7

Period For€cast

3 7 6 4 9 . 2 9 6 3 8 6 2 4 . 3 0 7 3 9 6 3 3 . 6 1 4 4 B 6 3 0 . 8 1 1 4 l 6 3 3 . 5 9 u 4 2 5 2 9 . 5 5 1 4 3 6 3 4 . 3 9 7

Loxer

5 2 5 . 2 3 5 5 9 4 . 6 2 6 5 9 7 . 8 0 0 5 8 8 . 5 7 4 5 8 4 . 7 5 4 5 7 4 . t g z s 7 2 . 4 5 9

Upper

o t J . J a l

(4)

q

1 0

1 l

L2

4 4 6 3 9 . 7 8 7 5 7 0 . 6 0 6 4 5 5 4 5 . 1 3 5 5 7 0 . 0 7 1 4 6 6 4 8 . 3 0 7 5 5 5 . 3 3 0 4 7 6 5 8 . L 7 2 5 5 8 . 2 6 1 4 8 5 6 0 . 3 3 5 5 5 3 . 4 7 0

(5)

LAMPIRAN 2. Forecast

dengan

Metode Decomposition

Decomposition

Fit for C1

Time

Actual Predicled Forecast Actual Predicted Forecast

MAPE: MAD: MSD:

(6)

W o r k s h e e t s i z e : 100000 cel Is

Retrieving norkshe€t fron file: C: \'{TEi?IN\DATA\Skri psi .ntw Worksheet ras saved on 9/ 6/20Ol

Macro is running p l e a s e n d i t

Time Series Decomposition

D a t a C l

L e n g t h 3 6 . 0 0 0 0 N M i s s i n g 0

Seasonal

P e r i o d

I n d i c e s I n d e x 0 . 9 6 8 9 3 3 0 . 9 8 r4 5 9 0 . 9 9 1 5 8 9 0 . 9 9 1 5 4 6 0 . 9 7 9 9 9 5 0 . 9 9 2 8 8 6 1 . 0 0 6 1 5 1 , 0 1 8 6 5 1 . 0 3 0 3 7 1 . 0 3 9 5 3 1 . 0 5 1 7 0 o ,937194 1 5 5 b 7 at 9 1 0 l 1 L 2

Accuracy of l'{odel M A P E : 1 . 4 1 0

M A D : 9 . 3 7 8

M S D : 1 6 2 . 4 8 2

Row Cl Trend

i 5 3 9 6 6 6 . 7 s 2 6 4 4 6 6 6 . 7 5

3 b J Z b b b . / 5

4 6 5 5 6 6 6 . 7 5 5 6 6 0 6 6 5 . 7 5 6 6 6 7 6 5 5 . 7 5 7 6 7 7 5 6 6 . 7 5 B 6 8 2 6 6 6 . 7 5 9 5 9 1 6 6 6 . 7 5 1 0 6 9 8 6 6 6 . 7 5 1 1 7 1 2 6 6 6 . 7 5

L l b z o b b b . / !

1 3 6 3 7 6 6 6 . 7 5 t 4 6 4 2 6 6 6 . 7 5

r f , b f , l b b b . / f ,

1 6 6 5 5 6 6 6 . 7 5 L 7 6 5 9 5 6 6 . 7 5 1 8 6 6 7 5 5 6 . 7 5 1 9 6 7 3 6 6 6 . 7 5 2 B 6 8 2 6 6 6 . 7 5 z r 5 9 t 6 6 6 . 7 5

z z b 9 t , b b b , / 5

2 3 7 1 4 6 6 6 . 7 5 2 4 6 3 0 6 6 6 . 7 5 2 5 6 6 3 5 6 6 . 7 5 2 6 6 7 4 6 6 6 . 7 5

t r t t t o o o D . / f ,

2 8 6 7 1 6 6 6 . 7 5 2 9 6 4 9 6 6 6 . 7 5 3 0 5 5 8 5 5 6 . 7 5 3 1 6 6 3 6 6 5 . 7 5

5 l b t L D b t r . / J

3 3 6 6 5 6 6 5 . 7 5

Seasona I 0 . 9 6 8 9 3 0 . 9 8 1 4 5 0 . 9 9 1 5 9 0 . 9 9 1 5 5 0 . 9 8 0 0 0 o . 9 9 2 8 9 1 . 0 0 5 1 5 1 . 0 1 8 6 5 ] ' 0 3 0 3 7 1 . 0 3 9 5 3 1 . 0 6 1 7 0 0 . 9 3 7 1 9 0 . 9 6 8 9 3 0 . 9 8 1 4 6 0 . 9 9 1 5 9 0 . 9 9 1 5 5 0 . 9 8 0 0 0 0 . 9 9 2 8 9 1 . 0 0 5 1 5 1 . 0 1 8 5 5 1 . 0 3 0 3 7 1 . 0 3 9 5 3 1 . 0 6 1 7 0 0 . 9 3 7 1 9 0 . 9 6 8 9 3 0 . 9 8 1 4 6 0 . 9 9 1 5 9 0 . 9 9 1 5 5 0 . 9 8 0 0 0 o . 9 9 2 8 9 1 . 0 0 6 1 5 1 . 0 1 8 5 5 1 . 0 3 0 3 7

Detrend 0 . 9 5 8 3 8 0 . 9 5 5 8 8 o . 9 7 7 A A 0 . 9 8 2 3 8 0 . 9 8 9 8 8 1 . U 0 0 3 7 L . O O 7 8 7 r . 9 2 2 8 7 1 . 0 3 6 3 7 L . 0 4 6 8 7 | . 8 6 7 8 7 0 . 9 4 1 8 8

U . Y f f J d

0 . 9 6 2 8 8 o . 9 7 7 8 8 0 . 9 8 2 3 8 u . 9 8 8 3 8 1 . 0 0 0 3 7 1 . 0 0 9 3 7 L . O 2 2 8 7 1 . 0 3 5 3 7 1 . 0 4 5 8 7 1 . 0 7 0 8 7 0 . 9 4 4 8 8 o . 9 9 4 3 8 1 . 0 1 0 8 7 1 . 0 1 3 8 7 1 . 0 0 6 3 7 0 . 9 7 3 3 8 0 . 9 8 6 8 8 0 . 9 9 4 3 8 1 . 0 0 5 3 7 0 . 9 9 7 3 8

D e s e a s o n 6 5 9 . 4 8 8 5 5 6 . 1 6 6 6 5 7 . 5 3 1 6 5 0 . 5 8 s 6 7 3 . 4 7 2 6 7 1 . 7 7 9 5 6 7 . 4 9 4 5 6 9 . 5 1 3 6 7 0 . 6 3 1 6 7 L . 4 5 7 6 7 0 . 6 7 4 5 7 0 . 0 8 6 6 5 7 . 424 6 5 4 . 1 2 8 6 5 7 . 5 3 1 6 6 0 . 5 8 5

o t l - 4 > l

6 7 t . 7 7 9 6 6 8 . 8 8 8 5 5 9 . 5 1 3 6 7 0 . 6 3 1 6 7 t . 4 5 7 5 7 2 . 5 0 8 6 7 2 . 2 2 0 6 8 4 . 2 5 A 6 4 6 .7 3 3 6 8 t . 7 3 4 6 7 6 . 7 2 t 6 5 2 . 2 4 8 6 6 2 . 7 1 4 5 5 8 . 9 4 9 5 5 8 . 7 1 4 5 4 5 . 3 9 8

Mode I 5 4 5 . 0 3 6 6 5 4 . 3 8 7 6 6 L . L 4 2 5 5 1 . 1 1 3 6 5 3 .4 L 7 6 6 2 . O O 7 6 7 0 . 4 4 9 6 7 9 . 1 8 5 6 8 7 . 0 0 1 5 9 3 . r O 7 7 07 .8A7 6 2 4 .8 7 4 6 4 6 . 0 3 6 6 5 4 , 3 8 7 56L . r42

o b - t . r l J

6 5 3 . 4 t 2 6 6 ? . 0 0 7 6 7 4 . 8 4 9 6 7 9 . L 4 5 6 8 7 . 0 0 1 6 9 3 . 1 0 7 7 9 7 . 4 8 7 5 2 4 . 4 7 4 6 4 6 . 0 3 5 6 5 4 . 3 8 7 561 . r42

a i b l - _ t l J

5 5 3 . 4 1 2 5 6 2 . 9 O 7 6 7 0 . 8 4 9 6 7 9 . 1 8 s 5 8 7 . 0 0 1

Error - 7 . 0 3 5 1 - 1 0 . 3 8 7 5 - 9 . L 4 L 7

6 . 5 8 7 8 4 . 9 9 3 7 1 . 1 5 1 3 2 . 8 L 4 6 4 . 8 9 ? 4 4 . 1 1 2 8

3 . L Z b Z

- 9 . 0 3 5 1 - 1 2 . 3 8 7 5

- 9 . t477 - 6 . 1 1 3 0

f , . J t l / t j

(7)

3 4 6 7 8 6 5 6 . 7 5 3 5 6 7 0 666.75 3 6 6 5 5 6 6 5 . 7 5

Forecasts

R o w Period

1 . 0 3 9 5 3 1 . 0 1 6 8 7 1 . 0 5 1 7 0 L . D O 4 B 7 o . 9 3 7 1 9 0 . 9 9 7 3 8

6 5 2 . 2 1 8 5 9 3 . r O 7 6 3 1 . 0 5 5 7 0 7 .8 8 7 7 0 9 . 5 6 5 6 2 4 . 8 7 4

- I J . I U t ] T ]

- 3 7 .8872 40 . 1262

I

4

J

6 7

J I

3 8 3 9 4 0 4 2 4 3 4 4 4 5 4 6 4 7 4 8

Forecast 6 4 6 . 0 3 5 6 5 4 . 3 8 7 66L . L42 5 6 1 . 1 1 3 6 5 3 .4 1 2 6 6 2 . O O 7 6 7 8 . 4 4 9 6 7 9 . L 8 5 6 8 7 . 0 0 1 5 9 3 .l O 7 7 0 7 .8 8 7 6 2 4 .8 7 4 I

(8)

LAMPIRAN 3. Tabel Waktu Kerusakan Mesin Bubut dan CNC

U

z

O

z

F p p

z

V)

E

z

U) D

X = F

B

J

(9)

LAMPIRAN 4. Anggaran Biaya Overhead dan Biaya perawatan/Bulan Untuk Mesin Bubut dan CNC

ANGGARAN

BIAYA

OVERHEAD/

BUI-,AN

M E S I N

B U B U T

D A N MESIN

C N C

BIAYA PERAWATAN/

BULAN

M E S I N

B U B U T

D A N MESIN

C N C

NO

KOMPONEN

BIAYA

ANGGARAN

(Rp)

I

Biaya persediaan

a. Suku cadang

100,000.00

b. Tools

100,000.00

c. Cooler

7 5 . 0 0 0 . 0 0

Total

275.000.00

tl

Biaya upah tenaga keria pengawasan (supervising)

1 5 0 . 0 0 0 . 0 0

ill

gleya listrik

a. Mesin

bubut

125.000.00

b. Mesin

CNC

1 2 5 . 0 0 0 . 0 0

c. Lampu

penerangan

100.000.00

Total

3 5 0 , 0 0 0 . 0 0

IV

Biaya kesejahteraaQ

lperator

75.000.00

Biaya asuransi kecel4kaan kerja

1 0 0 . 0 0 0 . 0 0

Total biaya overhead

950,000.00

NO

KOMPONEN

BIAYA

ANGGARAN

(Rp)

a

I

Olimesin

125,000.00

z

O l i p e l u m a s

7 5 , 0 0 0 . 0 0

2

Ban karet

50.000.00

4

Stamoede

3 0 . 0 0 0 . 0 0

(10)

LAMPIRAN 5. Tabel Golongan Tarif Penyusutan

'tabel

Golongan Tarif penyusu:an

Ir:duitai rakirlandan : i m!nurra n

Pcrhubungan, _{pcr gu& ngzn} 6.n komun*!d-'-4.{:_

-Umum

:

Pcr hubun8an d.n komu.olqsi

: _ _

-Konrtruksi

'Iabcl

Penyuiutan

l{cbcL rn:j., br.!tu, tursi laror:i d:.. !ou: trt'u,!r<biL-t pcqr moro(. ,:p.dr. :oEiq uur th8rn, forkli(t

!11f1, n",rn1e}r .tuUt, p.nr'olotl' F.n_.-"rd!. frtlct, crntaina. kou iart

Mobil tJri. rnir.r-bur

A C , l i p . r l j n l i n

Mcrin u1, m6i! l_iiun€- cupllqtc.. h.sr: pnoto.jpy, tcaoun i.|s rruahin€ Tnrtt...r. mobil 'eiiki U,rs pegaizi ..\r pd FnumF g. lep-,r t,rnag, b; rl rriii.-Irpd c:rah, krpd s.t:.r. b;rl kculc ruc -m.mpu1' lt bc{.t ksirr.S drri tOO D\fT -.l rux b".?t, tnillar, gur:rp L-ut, qLia. Duldo!cr

1; ; f,r-qur.cjet-o, tfo..ur- € hrE'r 6.:!!e_ r . roh..o, r"tlr.o!; bFng.r. rcrii+ Ug.riz-r g:.f

Gclongan

- 2

4

M6a Mufr.t ' -' q rehun .. :l l:lj 4 - 8 t : i u n . . . . : E tlhun

Bengunan derr aktiv! bk gcrr! *.-lain,ly1

t Panl.irsutan

. ' id;.-' . ₂₅₉

to,l .

_ .V..od. 1.:ng Digilri. '

Dl:':tun_r deri rilribii-u : (Srldo Penursnel't! rdr/ ' Doubl. D.cliai4 B.hrc.) Dihiluq 4r:i tl'rs!:L

(11)

LAMPIRAN 6.

_{Tabel Nilai Sekarang (present Value)}

EEggE

;ss53

3 9 3 3 ! 5 . 6 . 6 - _{3 8}

E E p q !

_{o . o . g o o}

E5533

33eg

:g3:3

33s

9 ! : P =

s 5 5 5 8

€ g ' 8 3 s

R : 9 P P o o i i ' I '

qg9:s

S R R r : ? ; l : 9 !

o d < t o d

, ; ; ! x P

; R 3 : :

SEep*

J d o c t d

5 : H g :

o o c t o o

s E E E E

g;:;3

! 3 B i s

F i g g F

siiEg'si333

5 5

8 g

d d

ggE

E s g

i E g : :

o - o 6 6 b

H i i H ^

o - o o 6 E

' $ S * H r

o . o c 6 E

3 ; 3 ; c

- . o - o o 6

F.F!5

*ggt

! . : H F E

8 f r f ; : :

d d o _{o o '}

F 3 : E ;

^ . ^ - . o 6 ;

::gs:

3Ei:3

:::gs

:cs53

lirsi ;:s::

iiEi: is:::

: ; ^ 3 n =

6. !. t. ;:; ;

? 8 3 :

-o -o.-of o

: . R 3 3 : 3 3 : e e g . : : r :

i;:is

gsi;s

!i::: g:sg3

i:i:;::s53

:::g3

:::s3

:::Es

i::::

::i5:

sFii:

:i;:i'.E;i:t

:;i:i SiSi;

Stse::iii:

s!gs3

5;33j

3si3s:33::

g i F S E

FFFEi

o 5 d - ; .

i : F F , i

SSEEE

! i F ! F

r ! - o - o ! 6 5

.-i ci

: . ' ; . " j R ?

. i d d o € t c t o d i d

d 9

3 ; B R E s g s ? 9

g 3 ? I l :

d o c . o c .

1.3 I .: ;,

g R : 3 : t (

t ; : 5 3

3'E'i 5-j-r

- : . : s 3

3 3 = s :

3 i . ; g N ; E ; : - 3

i;g lg

5 g

F : :

T 9 P F :

353g:

E:sgg

:': )

Fs€:

;'.'.3:.

qigt

! : 3 3

.i:

3:3

E i : * l

d c o s ' d

; 8 s ; r

; 3 : : :

I

(12)

LAMPIRAN _{7. Distribution Fitting untuk Mesin Bubut}

V a r i a b l e : D T B U B U T . w a k t u r u s a k _{( I e n g t h} _{= 36)}

( 1 ) 7 s o

( t 9 ) L O 5 O

2 ) 9 s 0

( 2 0 ) l o o o

3 ) 9 e 0

( 2 t )

9 7 5

( 4 ) 8 s 0 _{( 2 2 ) . 9 6 0} ( s ) 7 6 0 ( 2 3 ) 8 B O ( 6 ) e 9 5 ( 2 4 ) _{7 s O} ( 7 ) 8 B s ( 2 s ) _{7 8 s} ( 8 ) 7 8 s ( 2 6 ) _{7 9 s} ( e ) 7 9 O ( 2 7 ) 1 O 1 O

( 1 0 ) 7 7 s

( 2 8

( 1 1 ) 9 8 5

( 2 9

( L 2 ) 9 9 s

( 3 0

( 1 3 ) 7 B s

( 3 1

( 1 4 ) 7 s 0

( 3 2

( 1 s )

8 1 0

( 3 3

( 1 6 ) 8 6 s

( 3 4

9 5 s B 5 s 9 6 5 9 4 5 7 5 5 1 0 0 0 9 6 0 9 7 0 9 3 0

( 1 7 ) 8 3 s

( 3 s )

(13)

D i s t r i b u t i o n F i t t i n o D a t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i b u t i o n s a v a i l a b l e :

( 1 ) B e r n o u l l i ( 7 ) B e t a

( 2 ) B i n o m i a l _{( 8 ) C h i - s q u a r e}

( 3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g ( 4 ) G e o m e t r i c ( 1 0 ) E x p o n e n t i a l ( 5 ) N e g a t i v e b i n o m i a l ( 1 1 - ) F

( 6 ) P o i s s o n ( 1 2 ) G a r n m a

D i s t r i b u t i o n n u m b e r : 2 N u m - b e r o f t r i a l s : 1 0 5 0 E v e n t p r o b a b i l i t y : 0 . 8 4 8 8 1

Estimated KOLMOGOROV statistic DPLUS = 1

Estimated KOLMOGOROV statistic DMINUS = 0

E s t i m a t e d o v e r a l l s t a t i s t i c D N = 1 A p p r o x i m a t e s i g n i f i c a n c e L e v e l = 0

(14)

D i s t r i b u t i o n F i t t i r i o D a t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i b u t i o n s a v a i l a b l e : ( 1 ) B e r n o u l l i

( 2 ) B i n o m i a l

( 3 ) D i s c r e t e u n i f o r m ( 4 ) G e o m e t r i c

( 5 ) N e g a t i v e b i n o m i a l ( 6 ) P o i s s o n

D i s t r i b u t i o n n u m b e r : 3 L o w e r l i m i t : 7 5 0

U p p e r I i m i t : 1 0 5 0

Estimated KOLMOGOROV statistic

E s t i m a t e d o v e r a l l s t a t i s t i c D N A p p r o x i m a t e s i g n i f i c a n c e l e v e I

B e t a

C h i - s q u a r e E r l a n g E x p o n e n t i a l F

Gamma

D P L U S = O . 1 5 2 7 3 2 D M I N U S = 0 . 1 2 3 3 8 5 = O . 1 5 2 7 3 2

= 0 . 3 7 0 5 0 2 ( 7 )

( 8 )

( e )

( 1 0 )

( 1 1 )

( 1 2 )

( 1 3 )

Lognormal

Normal

S t u d e n t ' s t T r i a n g u l a r Uniform W e i b u l l ( 1 4

( 1 s

(15)

D i s t r i b u t i o n F i . t t i n o

_ _ _ : _ _ _ _ _ D a t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i b u t i o n s _{a v a i l a b l e :} ( 1 ) B e r n o u l l i

( 2 ) B i n o m i a l

( 5 ) Negative binomial ( 6 ) p o i s s o n

D i s t r i b u t i o n _{n u m b e r : 4}

E v e n t p r o b a b i l i t y : _{1 . L 2 0 7 6 8 - 3}

E s t i m a t e d K O L M O G O R O V s t a t i s t i c

E s t i m a t e d o v e r a l l s t a t i s t i c D N

Approximate signifi.cance level

B e t a

C h i - s q u a r e E r I a n g E x p o n e n t i a l F

Gamma

D P L U S = Q . 3 O 7 7 L 6 D M I N U S = O . 5 6 9 2 2 2 = O . 5 6 9 2 2 2

= Q

( 7 ) ( B )

(s)

( 1 0 )

( 1 1 )

( 1 2 )

( 1 3 ) ( 1 4 )

( 1 s )

1 6 ) t 7 ) 1 8 )

Lognormal NormaI

(16)

D i s t r i b u t i o n s _{a v a i 1 a b l e :} ( 1 ) B e r n o u l I i

( 2 ) B i n o m i a l ( 3 ) D i s c r e t e ( 4 ) Geometric ( 5 ) N e g a t i v e ( 6 ) P o i s s o n

uni f o rrn b i n o m i a l

B e t a

Gamma

N D T I I C - r l

DMINUS = 1

Lognormal Normal

S t u d e n t r s t T r i a n g u l a r U n i f o r m W e i b u l l ( 7 )

( 8 )

( e )

( 1 0 )

( 1 1 )

( L 2 )

( 1 3 ( 1 4

( 1 s

( 1 6 ( L 7 ) ( 1 8 )

D i s t r i b u t i o n _{n u m b e r : 5} N u m b e r o f s u c c e s s e s : 7 5 0 E v e n t p r o b a b i l i t y : 0 . 8 4 1 5 1 5

Estimated KOLMOGOROV statisti.c

(17)

D i s t r i b u t i o n F i t t i n g D a l t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i b u t i o n s _{a v a i l a b l e :} ( L ) B e r n o u l I i

( 2 ) B i n o m i a l ( 3 ) D i s c r e t e ( 4 ) G e o m e t r i c ( 5 ) N e g a t i v e ( 6 ) P o i s s o n

D i s t r i b u t i o n _{n u m b e r : 6} M e a n : 8 9 1 . 2 5

u n i f o r m b i n o m i a l

B e t a

C h i - s q u a r e E r I a n g Exponential F

Gamma

Lognormal Normal

S t u d e n t ' s t Triangular U n i f o r m W e i b u l I ( 7 )

( 8 )

( e )

( 1 0 ) ( 1 1 ) ( L 2 )

( 1 3 ) ( 1 4 )

( l s )

(18)

D i s t r i . b u t i o n F i t t i n o D a t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i b u t i o n s a v a i l a b l e : ( L ) B e r n o u l I i

( 2 ) B i n o m i a l

D i s t r i b u t i o n n u m b e r : B D e g r e e s o f f r e e d o m : 8 g 1 .Z s

E s t i m a t e d o v e r a l l s t a t i s t i c D N A p p r o x i m a t e s i g n i f i c a n c e l e v e 1

B e t a

Gamma

D P L U S = 0 . 3 0 8 9 3 2 D M I N U S = 0 . 3 6 9 1 3 = 0 . 3 6 9 1 3

= 1 . O 9 7 4 4 E - 4 ( 7 )

( 8 )

( e )

( 1 0 ) ( 1 1 ) ( 1 2 )

( 1 3 )

Lognormal

NormaI

S t u d e n t , s t T r i a n g u l a r U n i f o r m W e i b u l l ( 1 4

( 1 C .

( 1 6

(19)

D i s t r i b u t i o n F i t t i n g D a t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i

( 1 )b u t i o n s a v a i l a b l e : B e t a

C h i - s q u a r e E r I a n g E x p o n e n t i a l

T

Gamma

D P L U S = 0 . 1 4 6 2 8 D M I N U S = O . 1 9 L 6 7 2 = O . L 9 1 . 6 7 2

= 0 . 1 4 1 9 3 9

( 13 ) Lognormal ( 1 4 ) N o r m a l ( 1 5 ) S t u d e n t , s t ( 1-6 ) Triangular ( 1-? ) Unif orm ( 1 - 8 ) w e i b u l l ( 2

( 3

4 5

( 7 ) ( 8 )

( e )

6 )

1 0

1 1 1,2

B e r n o u l l i B i n o m i a l D i s c r e t e G e o m e t r i c Negative P o i s s o n

D i s t r i b u t i o n n u m b e r : A l p h a : B 5

B e t a : 0 . 0 9 5 3 7 1 7

(20)

( 2 ) B i n o m i a l ( 3 ) D i s c r e t e ( 4 ) G e o m e t r i c ( 5 ) N e g a t i v e ( 6 ) P o i s s o n

( 7 ) B e t a

Gamma

D P L U S = 0 . 3 0 7 8 5 7 D M I N U S = 0 . 5 6 8 9 4 3 = 0 . 5 6 8 9 4 3

( 1 3 ) L o g n o r m a l ( 1 4 ) N o r m a l ( L 5 ) S t u d e n t ' s t ( L 6 ) T r i a n g u l a r ( 1 7 ) U n i f o r m ( 1 8 ) w e i b u l l u n i f o r m

b i n o m i a l

( B

( e

( 1 0 ( 1 1 ( 1 2 ) D i s t r i b u t i o n n u m b e r : 1 - 0

M e a n : 8 9 1 . 2 5

Esti-mated KOLMOGOROV statistic

(21)

D i s t r i b u t i o n F i t t i n o D a t a v e c t o r : D T $ U B U T . w a k t u r u s a k

D i s t r i b u t i o n s a v a i l a b l e : ( 1 ) B e r n o u l I i

( 2 ) B i n o n i a l

D i s t r i b u t i o n n u m b e r : L 2 S h a p e ( a l p h a ) : 8 5 . 3 4 9 7 S c a I e ( b e t a ) : 0 . 0 9 5 7 6 4 1

( 7 ) B e t a

( 8 ) C h i - s q u a r e ( 9 ) E r l a n g ( 1 0 ) E x p o n e n t i a l ( 1 1 ) F

( 1 2 ) G a m m a

( 1 3 ) ( 1 4 )

( l _ s )

( 1 6 ) ( L 7 ) ( 1 8 )

Lognormal Normal

S t u d e n t ' s t T r i a n g u l a r U n i f o r m W e i b u l l

E s t i m a t e d o v e r a l l s t a t i s t i c D N A p p r o x i m a t e s i g n i f i c a n c e l e v e L

D P L U S = Q . \ 4 6 8 ] - 2 D M I N U S = O . \ 9 2 O 2 5

(22)

D i s t r i b u t i o n s a v a i l a b l e : ( 1 ) B e r n o u l I i

( 2 ) B i n o m i a l ( 3 ) D i s c r e t e ( 4 ) G e o m e t r i c ( 5 ) Negative ( 6 ) P o i s s o n

D i s t r i b u t i o n n u m b e r : L 3 M e a n : 8 9 7 . 4 5 4

S t a n d a r d d e v i a t i o n : 9 8 . 7 6 2 9

E s t i m a t e d o v e r a l l s t a t i s t i c D N A p p r o x i m a t e s i g n i f i c a n c e l e v e 1

B e t a

Gamma

D P L U S = A . L 4 2 3 9 3 D M I N U S = 0 . 1 - 9 2 3 9 3

= 0 . L 9 2 3 9 3 = 0 . 1 3 9 1 4 L u n i f o r m

b i n o m i a l

( 7 ) ( 8 )

( e )

( 1 0 ) ( 1 1 ) ( 1 2 )

( 1 3 )

( 1 4 )

( 1 s )

( 1 6 )

( 1 7 )

( 1 8 )

Lognormal Normal

(23)

D i s t r i b u t i o n F i t t i n q

D a t a v e c t o r : D T B U B U T . w a k t u r u s a k -

( 2 ) B i n o m i a l

( 3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g

( 4 ) G e o m e t r i c ( 1 0 ) E x p o n e n t i a l ( 1 6 ) T r i a n g u l a r ( 5 ) N e g a t i v e b i n o m i a l ( 1 1 ) F

( 6 ) P o i s s o n ( 1 2 ) G a m m a

D i s t r i b u t i o n n u m b e r : L 4 M e a n : 8 9 L . 2 5

S t a n d a r d d e v i a t i o n : 9 6 . 9 4 9

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = 0 - 1 4 5 1 5 E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S = 0 . 1 8 2 5 7 6 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . L 8 2 5 7 6

A p p r o x i m a t e s i g n i f i c a n c e l e v e l = 0 . 1 8 1 2 9

( 7 ) B e t a

( 8 ) C h i - s q u a r e ( 1 4 ) N o r m a l( 1"3 ) Lognormal ( 1 5 ) S t u d e n t ' s t

(24)

D i s t r i b u t i o n F i t t i n g ; ; ; ; - ; ; ; ; ; ; ; - ; ; ; ; ; ; ; ; ; ; ; ; " ; ;

-D i s t r i b u t i o n s a v a i l a b l e :

( 1 ) B e r n o u l l i ( 7 ) B e t a ( 1 3 ) L o g n o r m a l

( 2 ) B i n o m i a l ( 8 ) C h i - s q u a r e ( 1 - 4 ) N o r m a l

( 3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g _{( 1 5 ) S t u d e n t ' s t} ( 4 ) G e o m e t r i c ( 1 0 ) E x p o n e n t i a l ( 1 6 ) T r i a n g u l a r

( 5 ) N e g i a t i v e b i n o m i a l ( 1 1 ) F ( 1 7 ) U n i f o r m

( 6 ) P o i s s o n ( L 2 ) G a m m a ( 1 8 ) W e i b u l l

D i s t r i b u t i o n n u m b e r : 1 5 D e g r e e s o f f r e e d o m : 2

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = 4 . 5 3 5 1 4 8 - 7 E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S = 0 . 9 9 9 9 9 9 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 9 9 9 9 9 9

(25)

D i s t r i b u t i o n s a v a i l a b l e :

1 2

B e r n o u l l i B i n o m i a l

D i s c r e t e u n i f o r m ( 9

B e t a

Gamma

J.3 ) Lognormal 1 4 ) N o r m a 1 1 5 ) S t u d e n t ' s t 1 6 ) T r i a n g u l a r 1 - 7 _{) U n i f o r m} 1 8 ) w e i b u l l

( 7

( B

( 4 ) G e o m e t r i c

( 1 0 )

( 5 ) N e g a t i v e b i n o m i a l ( 1 1 )

( 6 ) P o i s s o n ( 1 , 2 )

D i s t r i b u t i o n n u m b e r : 1 6 L o w e r l i m i t : 7 5 0

C e n t r a l p o i n t : 8 7 3 . 7 5 U p p e r l i m i t : 1 0 5 0

E s t i m a t e i l K O L M O G O R O V s t a t i s t i c D P L U S = 0 . 2 5 1 0 1 E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S - - 0 . 2 6 3 7 1 2 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 2 6 3 7 1 2

(26)

D i s t r i b u t i o n F i t t i n u D a t a v e c t o r : D T B U B U T . w a k t u r u s a k

D i s t r i b u t i o n s _{a v a i l a b l e :} ( i- ) Bernoul l i

( 2 ) B i n o m i a l ( 3 ) D i s c r e t e ( 4 ) G e o m e t r i c ( 5 ) N e g a t i v e ( 6 ) Poisson

D i s t r i b u t i o n n u m b e r : L 7 L o w e r l i m i t : 7 5 0

U p p e r I i m i t : 1 0 5 0

E s t i m a t e d o v e r a l l s t a t i s t i c D N A p p r o x i m a t e s i g n i f i c a n c e l e v e I

B e t a

C h i - s q u a r e E r l a n g E x p o n e n t i a l r

Gamma

D P L U S = 0 . 1 - 5 s 5 5 6 D M I N U S = O . 1 2 2 2 2 2

= 0 . 1 5 5 5 5 6 = 0 . 3 4 8 3 8 u n i f o r m

b i n o m i a l

( 7 ) ( 8 )

( e )

( 1 0 )

( 1 1 ) ( L 2 )

( l-3 ) Lognormal ( i.4 ) Normal

(27)

D i s t r i b u t i o n s a v a i l a b l e : Bernoul I i

B i n o m i a l

( 1

( 2 ( 3

1 3 L 4 1 5 1 6 1 7 L 8 D i s c r e t e u n i f o r m ( 9 ) E r l a n g

( 7 ) B e t a

( 8 ) C h i - s q u a r e

Lognormal NormaI

S t u d e n t t s t T r i a n g u l a r U n i f o r m W e i b u l l

( 4 ) G e o m e t r i c

( 1 0

( 5 ) N e g a t i v e b i n o m i a l ( 1 1

( 6 ) P o i s s o n ( 1 2

D i s t r i b u t i o n n u m b e r : 1 8 S h a p e ( a l p h a ) : 1 1 . 1 5 9 7 S c a l e ( b e t a ) : 9 3 3 . 9 2 4

Exponential (

F Gamma

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = O - 1 5 2 8 1 8 E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S = 0 . 1 5 2 6 0 1 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 1 5 2 8 L 8

(28)

LAMPTRAN 8.

V a r i a b l e : D T C N C . w a k t u r u s a k

Distribition Fitting untuk Mesin CNC

( l e n g t h = 3 6 )

1 2 3 4 5 6 B 9 1 0 1 1 L 2 1 3 L 4 1 5 1 6 L 7 1 8 ) ) ) ) I

1 4 8 0 8 4 0

B 0 s

L Z 5 I J

1 6 4 0 1 0 5 9 8 9 5 1 0 6 5 1 9 6 0 2 1 0 5 1 4 6 5 5 8 0 1 8 6 5 1 5 8 0 1 1 8 5 2 0 0 0 5 l - s 1 6 6 0

( 1 9 ( 2 0 ( 2 4 ( 2 2

1 4 9 0 9 9 0 9 0 5 9 1 5 1 2 3 0 1 3 6 5 1 , 4 4 0 1 7 5 5

9 8 0 5 4 5 1 1 4 0 1 0 3 5 1 1 6 5 9 9 s 1 3 5 0 1 5 9 0 925 t 7 4 3 2 3 2 4 2 5 z o 2 7 2 8 2 9 3 0 3 1 3 2 3 3 3 4

( 3 s )

(29)

D i s t r i b u t i o n F i t t i n g D a t a v e c t o r : D T C N C . w a k t u r u s a k

D i s t r i b u t i o n s a v a i l a b l e : ( L ) B e r n o u I l i

( 2 ) B i n o m i a l ( 3 ) D i s c r e t e

( 1 0 ( 1 1 ( 1 2

( 1 3 ( 1 4

( 1 s

( 1 6

( a 7

( 1 8

7 ) 8 )

( 4 ) G e o m e t r i c ( 5 ) N e g a t i v e ( 6 ) P o i s s o n

Beta

Gamma

Logrnormal Normal

S t u d e n t ' s t Triangular U n i f o r m W e i b u l l 9

D i s t r i b u t i o n n u m b e r : 2 N u m b e r o f t r i a l s : 2 1 0 5

E v e n t p r o b a b i l i t y : 0 . 6 0 0 5 1 5

Estimated KOLMOGOROV statistic DPLUS = 1

Estimated KOLMOGOROV statistic DMINUS = O

(30)

D i s t r i b u t i o n s _{a v a i l a b l e :} 1 ) B e r n o u l l i

2 ) B i n o m i a l

3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g ( 4 ) G e o m e t r i c ( L 0 ) E x p o n e n t i a l ( 5 ) N e g a t i v e b i n o m i a l ( L 1 ) F

( 6 ) P o i s s o n

D i s t r i b u t i o n n u m b e r : 3 L o w e r l i m i t : 5 1 5

U p p e r l i m i t : 2 1 0 5

( 1 2 ) G a m m a

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = 0 . 1 1 3 0 3 2 E s t i m a t e d K O T M O G O R O V s t a t i s t i c D M I N U S = 0 . 1 0 0 5 8 3 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 1 1 3 0 3 2

A p p r o x i m a t e s i g n i f i c a n c e 1 e v e l = O . 7 4 7 L 6 9 ( 7 ) B e t a

(31)

- - D i - s t r i b u t i o n F i t t i n o D a t a v e c t o r : D T C N C . w a k t u r u s a k

D i s t r i b u t i o n s _{a v a i l a b l e :} ( 1 - _{) B e r n o u l l i}

( 2 ) B i n o m i a l

D i s t r i b u t i o n _{n u m b e r : 4}

( 7 ) B e t a

Gamma

D P L U S = 0 . 1 8 9 1 2 D M I N U S = 0 . 3 8 7 9 8 3 = 0 - 3 8 7 9 8 3

= 3 - 9 2 7 8 - 5

( 1 3 ) L o g n o r m a l ( 1 4 ) N o r m a l ( 1 5 ) S t u d e n t , s t ( L 6 ) T r i a n g u l a r ( 1 7 ) U n i f o r m ( 1 8 ) w e i b u l l ( B

( e

( 1 0 ( 1 1 ) ( 1 2 )

E v e n t p r o b a b i l i t y : _{7 . 9 O 4 6 2 E - 4}

(32)

D i s t r i b u t i o n F i t t i n g : _{D a t a v e c t o r :} _{D T C N C . w a k t u r u s a k}

( 2 ) B i n o m i a l

7 ) B e t a

8 ) C h i - s q u a r e 9 ) E r l a n g

( 1 0 ) E x p o n e n t i a l (

t

1-3 _{) Lognormal}

l-4 ) Normal

L 5 ) S t u d e n t ' s t 1 6 ) T r i a n g u l a r 1 - 7 _{) U n i f o r m} 1 8 ) W e i b u l l ( 5 ) N e g a t i v e b i n o m i a l ( l - l - ) F

( 6 ) P o i s s o n ( 1 2 ) G a m m a

(33)

D i s t r i b u t i o n F i t t i n g . ' D a t a v e c t o r : D T C N C . w a k t u r u s a k

D i - s t r i b u t i o n s a v a i l a b l e : B e r n o u l - l i

B i n o m i a l

( 3 ) D i s c r e t e u n i f o r m

( 4 ) G e o m e t r i c Exponential ( 1,6

( 1 3 ) L o g n o r m a l

( 1 4 ) N o r m a l

( 1 5 ) S t u d e n t r s t ( 1 7

T r i a n g u l a r U n i f o r m

( 1 8 ) W e i b u l l ( 1

( 2

( 7 ( 8

( e

1 0 )

1 1 ) 7 2 ) ( 5 ) N e g a t i v e b i n o m i a l

( 6 ) P o i s s o n

B e t a

C h i - s q u a r e E r l a n g

F Gamma

(34)

D a t a v e c t o r : D T C N C . w a k t u r u s a k D i s t r i b u t i o n s _{a v a i l a b l e :}

( 1, ) Bernoull i ( 2 ) Binomial

( 1 3 ) ( 3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g

( 4 ) G e o m e t r i c ( 1 0 ) E x p o n e n t i a l

( 5 ) N e g a t i v e b i n o m i a l ( 1 1 - ) F

( 6 ) P o i s s o n

D i s t r i b u t i o n n u m b e r : 8

( 1 2 ) G a n m a

D e g r e e s o f f r e e d o m : L 2 6 4 . O B

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P T U S = 0 . 4 5 0 0 6 6 E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S = 0 . 3 9 8 4 2 6 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 4 5 0 0 6 6

A p p r o x i m a t e s i g n i f i c a n c e l e v e 1 = 9 . 2 7 L 5 6 E - 7 ( 7 ) B e t a

( 8 ) C h i - s q u a r e NormalLognormal

S t u d e n t ' s t T r i a n g u l a r U n i f o r m W e i b u l l 1 4

(35)

D i s t r i b u t i o n _{F i t t i n g} :

-D a t a v e c t o r : D T C N C . w a k t u r u s a k D i s t r i b u t i . o n s _{a v a i l a b l e :}

( 1 ) B e r n o u l l i ( 2 ) B i n o m i a l

( 5 ) Negative binomial ( 6 ) p o i s s o n

D i s t r i b u t i o n _{n u m b e r : 9} A l p h a : 9

B e t a : 7 . 1 1 9 2 8 E - 3

( 7 ) B e t a

( B ) C h i - s g u a r e ( 9 ) E r l a n g ( 1 0 ) E x p o n e n t i a l ( L L ) F

( 12 ) canuna

( 1 3 ) Lognormal ( 1 4 ) N o r m a l ( 1 5 ) S t u d e n t ' s t ( 1 6 ) T r i a n g u l a r ( 1 7 ) U n i f o r m ( 1 . 8 _{) w e i b u l l}

Estimated _KOLMOGOROV_statistic

E s t i m a t e d overall _{s t a t i s t i c} _{O l l} A p p r o x i m a t e significance _{l e v e i}

D P L I T S _{= O . 0 6 7 2 6 5 7} D M I N U S = 0 . 0 8 3 7 6 9 8 = 0 . 0 8 3 7 6 9 8

(36)

D i s t r i b u t i o n _{F i t t i n g} D a t a v e c t o r : D T C N C . w a k t u r u s a k

D i s t r i b u t i o n s _{a v a i l a b l e :} ( 1 ) B e r n o u l I i

( 2 ) B i n o m i a l

( 5 ) N e g a t i v e b i n o m i a l ( 6 ) p o i s s o n

D i s t r i b u t i o n _{n u m b e r : 1 0} M e a n : 1 2 6 4 - O B

( 7 ) B e t a

( 8 ) C h i - s q u a r e ( 9 ) E r l a n g ( 1 0 ) E x p o n e n t i a l ( r . 1 ) F

( 12 ) Gamrna

( 1 3 ) Lognormal ( 1-4 _{) Normal}

( 1 5 ) S t u d e n t ' s t ( 1 6 ) T r i a n g u l a r ( 1 7 ) U n i f o r m ( 1 8 ) w e i b u l l

E s t i m a t e d KOLMOGOROV _{s t a t i s t i c}

Estimated KOLMOGOROV _statistic

Estimated _overall _stati.stic _DN

A p p r o x i m a t e significance _{l e v e l}

D P L U S = 0 - l _ 8 9 1 4 5 D M I N U S = 0 . 3 8 2 6 9 8 = 0 . 3 8 7 6 9 8

(37)

D i s t r i b u t i o n s _{a v a i l a b l e :} ( 1 - _{) B e r n o u l I i}

( 2 ) B i n o m i a l

( 4 ) G e o m e t r i c (

( 5 ) Neqative binomial _a

( 6 ) p o i s s o n ₍

D i s t r i b u t i o n _{n u m b e r : L 2} S h a p e ( a l p h a ) : 8 . ' 7 5 7 0 9 S c a 1 e ( b e t a ) : 6 . 9 2 7 6 2 E - 3

E s t i m a t e d KOLMOGOROV s t a t i s t i c

Estimated KOLMOGOROV _statistic

E s t i m a t e d overall s t a t i s t i c D N A p p r o x i m a t e signif icance leve1

B e t a

Gamma

D P L U S = 0 . 0 6 4 1 6 8 1 D M I N U S = 0 . 0 8 2 4 0 1 3 = 0 . 0 8 2 4 0 1 3

= O . 9 6 7 4 1 ,

( L 3 ) Lognormal ( 1 4 ) N o r m a l ( 1 5 ) S t u d e n t , s t ( 1 , 6 _{) T r i a n g u l a r} ( L 7 ) U n i f o r m ( 1 8 ) wei.bull ( 7 )

( B ) '

( e )

(38)

D i s t r i b u t i o n s _{a v a i l a b l e :} ( 1 _ _{) B e r n o u l l i}

( 2 ) B i n o m i a l

D i s t r i b u t i o n _{n u m b e r : 1 3} M e a n : 1 , 2 7 7 . 4 2

S t a n d a r d d e v i a t i o n . 4 6 9 . 7 I 5

E s t i m a t e d KOLMOGOROV s t a t i s t i c

E s t i m a t e d overall s t a t i s t i c D N A p p r o x i m a t e significance _{l e v e l}

( 1 3 ) L o g n o r m a l ( 1 4 ) N o r m a l

( 1 5 ) S t u d e n t ' s t ( 1 - 6 _{) T r i a n g u l a r} ( 1 7 ) U n i f o r m ( 1 8 ) W e i b u l l ( 7 ) B e t a

( 8 ) C h i - s q u a r e ( 9 ) Erlang 1 0 ) E x p o n e n t i a l 1 r - ) F

12 ) Gamma

D P L U S = 0 . 0 6 1 4 0 2 6 D M I N U S = 0 . 0 8 9 7 2 1 5 = 0 . 0 8 9 7 7 1 5

(39)

D i s t r i b u t i o n s _{a v a i , l a b l e :} ( 1- ) BernouIl i

( 2 ) B i n o m i a l

( 5 ) Negative binomial ( 6 ) P o i s s o n

D i s t r i b u t i o n _{n u m b e r : L4} M e a n : 7 2 6 4 . 0 8

S t a n d a r d deviation: _{4 L 7 . . J , 0 3}

E s t i m a t e d overall s t a t i s t i c D N A p p r o x i m a t e significance l e v e l

( 7 ) B e t a

( 8 ) C h i - s q u a r e ( 9 ) E r l a n g ( 1 0 ) E x p o n e n t i a l ( r . 1 ) F

( 12 ) Garnma

( 1 3 ) L o g n o r m a t ( 1 4 ) N o r m a l ( 1 5 ) S t u d e n t , s t ( 1 6 ) T r i a n g u l a r ( 1 7 ) U n i f o r m ( 1 8 ) w e i b u l l

D P L U S = 0 . 1 0 0 0 9 1 D M I N U S = 0 . 0 5 3 3 7 8 2 = 0 . 1 0 0 0 9 1

(40)

D i s t r i b u t i o n F i t t i n o D a t a v e c t o r : D T C N C . w a k t u r u s a k

( 2 ) B i n o m i a l

( 5 ) N e g a t i v e b i n o m i a l ( 1 1 ( 6 ) P o i s s o n

D i s t r i b u t i o n n u m b e r : l - 5 D e g r e e s o f f r e e d o m : 2

( L 2

E s t i m a t e d o v e r a l l s t a t i - s t i c D N A p p r o x i m a t e s i g n i f i c a n c e l e v e l

( 3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g

( 4 ) G e o n e t r i c

( 1 0

E x p o n e n t i a l

I

Gamma

D P L U S = I - 1 , 2 8 4 L E - 7 D M I N U S = 0 . 9 9 9 9 9 8 = 0 . 9 9 9 9 9 8

( 7 ) B e t a

( 8 ) C h i - s q u a r e NormalLognormal

S t u d e n t ' s t T r i a n g u l a r U n i f o r m W e i b u l l

( 1 2 ,

L 4 1 5 1 6 L 7

(41)

. , D i s t r i b u t i o n F i t t i n o D a t a v e c t o r : D T C N C . w a k t u r u s a k

D i s t r i b u t i o n s a v a i l a b l e : ( 1 " _{) B e r n o u l l i}

( 2 ) B i n o m i a l

4 ) G e o m e t r i c

5 ) N e g a t i v e b i n o m i a l

6 ) P o i s s o n

(e

( 1 0 ( 1 1 ( L 2

( 7 )

( B )

t-3

L 4

1 5 L 7 1 8

B e t a

C h i - s q u a r e E r l a n g E x p o n e n t i a l

r

Gamma

Lognormal NormaI

S t u d e n t ' s _t T r i a n g u l a r U n i f o r m W e i b u l l D i s t r i b u t i o n _{n u m b e r : 1 6}

L o w e r l i m i t : 5 1 5

C e n t r a l p o i n t : 1 - 1 - 7 2 . 2 5 U p p e r l i m i t : 2 1 0 5

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = O . L 2 7 2 O t E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S = O - 0 9 1 9 3 0 5 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . ] 2 7 2 0 1

(42)

D i s t r i b u t i o n s a v a i l a b l e : 1 ) B e r n o u l l i

2 ) B i n o m i a l

3 ) D i s c r e t e u n i f o r m

7 )

( 4 ) G e o m e t r i c ( 1 0

( 5 ) N e g a t i v e b i n o m i a l ( 1 1

( 6 ) P o i s s o n ( 1 2

D i s t r i b u t i o n n u m b e r : t 7 L o w e r l i m i t : 5 1 5

U p p e r l i m i t : 2 1 0 5

I 9

B e t a

C h i - s q u a r e E r l a n g F Gamrna

( 1 3 ) L o g n o r m a l ( 1 4 ) N o r m a l

( 1 5 ) S t u d e n t ' s t

1 7 ) U n i f o r m 1 8 ) W e i b u l l E x p o n e n t i a l ( 1 6 ) T r i a n g u l a r

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = 0 . 1 1 3 2 0 8 E s t i m a t e d K O L M O G O R O V s t a t i - s t i c D M I N U S = 0 . L 0 0 1 0 5 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 1 1 3 2 0 8

(43)

D a t a v e c t o r : D T C N C . w a k t u r u s a k D i s t r i b u t i o n s a v a i l a b l e :

( 1 ) B e r n o u l l i

( 2 ) B i n o n i a l ( 7 ) B e t a( 8 ) C h i - s q u a r e ( 3 ) D i s c r e t e u n i f o r m ( 9 ) E r l a n g

( 4 ) G e o m e t r i c _{( 1 O ) Exponential-} _{( 1 6 )}

( 5 ) N e g a t i v e b i n o m i a l ( 1 1 ) F

( 6 ) P o i s s o n ( 1 2 ) G a m m a

D i s t r i b u t i o n n u m b e r : 1 " 8 S h a p e ( a l p h a ) : 3 . 3 9 8 7 3 S c a l e ( b e t a ) : 1 4 0 9 . 3 8

E s t i m a t e d K O L M O G O R O V s t a t i s t i c D P L U S = 0 . 0 9 6 5 2 1 - 6 E s t i m a t e d K O L M O G O R O V s t a t i s t i c D M I N U S = 0 . 0 5 5 1 3 6 9 E s t i m a t e d o v e r a l l s t a t i s t i c D N = 0 . 0 9 6 5 2 1 6

A p p r o x i m a t e s i g n i f i c a n c e l e v e f = 0 . 8 9 0 6 5 3

( 1 3 ( 1 4

/ 1 q ,

( r 7 )

( 1 8 )

Lognormal NormaI