Meminimumkan Total Biaya Pada Perencanaan Produksi Dan Pengendalian Persediaan Menggunakan Program Dinamik (Studi Kasus: Pabrik Roti Cv. Fawas Jaya Medan)

(1)

Model Summaryb

Model R R

Square

Adjusted

R Square

Std. Error

of the

Estimate

Change Statistics Durbin-Watson

R Square

Change

F Change df1 D

f2

Sig. F

Change

1 .964_a .929 .922 571.6334 1

.929 131.742 1 10 .000 .780

a. Predictors: (Constant), periode

b. Dependent Variable: permintaan

Coefficientsa

Model Unstandardized

Coefficients

Standardiz

ed

Coefficient

s

t Sig. 95.0% Confidence

Interval for B

Correlations Collinearity

Statistics

B Std. Error Beta Lower

Bound

Upper

Bound

Zero-order Parti

al

Part Toleranc

e

VIF

1

(Constant

)

13183.636 351.816 37.47

3

.000 12399.741 13967.531

periode 548.671 47.802 .964 11.47 8

.000 442.161 655.182 .964 .964 .964 1.000 1.000

(2)

Lampiran 3.Hasilperhitungandengan program dinamik

Tahap 1 (Oktober 2015)

I1 XI A B A.XI B.I1 Total Optimal

0 20523 700 300 14366100 0 14366100 14366100

1000 21523 700 300 15066100 300000 15366100

1500 22023 700 300 15416100 450000 15866100

2000 22523 700 300 15766100 600000 16366100

1 1 = � {( . 1 + . 1 )} , 1 + 1 − 0 1 1 + 1

Tahap 2 (November 2015)

I2 X2 A.X2 B.I2

Cost Tahap 2

− Total Cost Optimal

0 21078 14754600 0 14754600 14366100 29120700 29120700

1000 22078 15454600 300000 15754600 14366100 30120700

1500 22578 15804600 450000 16254600 14366100 30620700

2000 23078 16154600 600000 16754600 14366100 31120700

1 1 = � {( . 2 + . 2 )+ 1( 2 + 2 − 2) } 2 + 2 − 000 2 2 + 2

Tahap 3 (Desember 2015)

I3 X3 A.X3 B.I3

Cost Tahap 3

– 3 Total Cost Optimal

0 21632 15142400 0 15142400 29120700 44263100 44263100

1000 22632 15842400 300000 16142400 29120700 45263100

(3)

2000 23632 16542400 600000 17142400 29120700 46263100

3 3 = � {( . 3 + . 3 )+ 2( 3 + 3 – 3) } 3 + 3 − 000 3 3 + 3

Tahap 4 (Januari 2016)

I4 X4 A.X4 B.I4 Cost Tahap 4

– Total Optimum

0 22187 15530900 0 15530900 44263100 59794000 59794000

1000 23187 16230900 300000 16530900 44263100 60794000

1500 23687 16580900 450000 17030900 44263100 61294000

2000 24187 16930900 600000 17530900 44263100 61794000

4 4 = � {( . 4 + . 4 )+ 3( 4 + 4 – 4) } 4+ 4 − 000 4 4 + 4

Tahap 5 (Februari 2016)

I5 X5 A.X5 B.I5 Cost Tahap 5

– Total Optimum

0 22741 15918700 0 15918700 59794000 75712700 75712700

1000 23741 16618700 300000 16918700 59794000 76712700

1500 24241 16968700 450000 17418700 59794000 77212700

2000 24741 17318700 600000 17918700 59794000 77712700

5 5 = � {( . 5 + . 5) + 4( 5 + 5 – 5) } 5+ 5 − 000 5 5 + 5

Tahap 6 (Maret 2016)

X6 A.X6 B.I6 Cost Tahap 6 – Total Optimal

23296 16307200 0 16307200 75712700 92019900 92019900

24296 17007200 300000 17307200 75712700 93019900

24796 17357200 450000 17807200 75712700 93519900

25296 17707200 600000 18307200 75712700 94019900

(4)

6+ 6− 000 6 6+ 6

Tahap 7 (April 2016)

23850 16695000 0 16695000 92019900 108714900 108714900

24850 17395000 300000 17695000 92019900 109714900

25350 17745000 450000 18195000 92019900 110214900

25850 18095000 600000 18695000 92019900 110714900

7 7= � {( . 7+ . 7) + 6( 7+ 7– 7) } 7+ 7− 000 7 7+ 7

Tahap 8(Mei 2016)

24405 17083500 0 17083500 108714900 125798400 125798400

25405 17783500 300000 18083500 108714900 126798400

25905 18133500 450000 18583500 108714900 127298400

26405 18483500 600000 19083500 108714900 127798400

8 8= � {( . 8+ . 8) + 7( 8+ 8– 8) } 8+ 8− 000 8 8+ 8

Tahap 9(Juni 2016)

24960 17472000 0 17472000 125798400 143270400 143270400

25960 18172000 300000 18472000 125798400 144270400

26460 18522000 450000 18972000 125798400 144770400

26960 18872000 600000 19472000 125798400 145270400

(5)

Tahap 10(Juli 2016)

X10 A.X10 B.I10 Cost Tahap

10

– 0 Total Optimal

25514 17859800 0 17859800 143270400 161130200 161130200

26514 18559800 300000 18859800 143270400 162130200

27014 18909800 450000 19359800 143270400 162630200

27514 19259800 600000 19859800 143270400 163130200

10 10= � {( . 10+ . 10) + 9( 10+ 10– 10) } 10+ 10− 000 10 10+ 10

Tahap 11 (Agustus 2016)

X11 A.X11 B.I11 Cost Tahap 11

– Total Optimal

26069 18248300 0 18248300 161130200 179378500 179378500

27069 18948300 300000 19248300 161130200 180378500

27569 19298300 450000 19748300 161130200 180878500

28069 19648300 600000 20248300 161130200 181378500

11 11 = � {( . 11 + . 11) + 10( 11 + 11 – 11) } 11+ 11 − 000 11 11 + 11

Tahap 12 (September 2016)

X12 A.X12 B.I12 Cost Tahap 12

– Total Optimal

26623 18636100 0 18636100 179378500 198014600 198014600

27623 19336100 300000 19636100 179378500 199014600

28123 19686100 450000 20136100 179378500 199514600

28623 20036100 600000 20636100 179378500 200014600