Lampiran 1. Karakteristik Sampel Minyak Goreng Curah
No.
Sampel
Umur
(Thn)
Pendidikan
(Thn)
Pendapatan
Per Bulan
(Rp)
Jumlah
Tanggungan
(Jiwa)
Harga Minyak
Goreng Curah
(Rp)
Jumlah
Konsumsi Per
Bulan
(Kg/Bln)
1
35
9
1.800.000
2
10.000
3
2
40
12
3.500.000
3
10.500
5
3
49
12
4.000.000
4
10.000
6
4
56
12
3.000.000
3
10.500
4
5
40
12
2.750.000
2
10.000
3
6
50
12
3.500.000
4
10.000
6
7
42
12
2.700.000
3
10.000
4
8
28
12
3.000.000
2
10.000
3
9
53
9
1.950.000
2
10.000
3
10
50
12
3.500.000
1
10.000
4
11
42
12
1.850.000
1
10.000
2
12
38
12
2.500.000
2
10.000
3
13
58
12
2.500.000
2
10.000
3
14
48
9
3.000.000
3
10.500
5
15
32
12
2.150.000
2
10.000
3
16
36
12
2.570.000
2
10.000
4
17
50
6
1.000.000
0
10.000
2
No.
Sampel
Umur
(Thn)
Pendidikan
(Thn)
Pendapatan
Per Bulan
(Rp)
Jumlah
Tanggungan
(Jiwa)
Harga Minyak
Goreng Curah
(Rp)
Jumlah
Konsumsi Per
Bulan
(Kg/Bln)
18
51
12
1.900.000
2
10.000
3
19
43
9
1.700.000
3
10.000
3
20
57
6
1.000.000
0
10.000
2
21
45
6
1.300.000
2
10.000
2
22
32
12
2.000.000
4
10.000
4
23
28
12
2.000.000
1
10.000
2
24
34
12
2.500.000
2
10.000
3
25
60
12
2.500.000
0
10.000
2
26
23
12
3.000.000
1
10.000
3
27
30
12
2.500.000
2
10.000
3
28
30
12
2.000.000
5
10.000
6
29
28
12
3.700.000
1
10.500
3
30
58
6
1.000.000
0
10.000
2
Lampiran 2. Karakteristik Sampel Minyak Goreng Kemasan
No.
Sampel
Umur
(Thn)
Pendidikan
(Thn)
Pendapatan
Per Bulan
(Rp)
Jumlah
Tanggungan
(Jiwa)
Harga Minyak
Goreng Curah
(Rp/L)
Jumlah
Konsumsi Per
Bulan
(Kg/Bln)
1
55
12
4.000.000
1
13.800
3
2
25
12
2.000.000
2
12.900
3
3
51
9
1.800.000
0
11.900
2
4
51
12
2.500.000
2
12.900
5
5
58
12
2.550.000
2
13.400
2
6
56
12
2.750.000
1
13.400
2
7
52
9
2.000.000
2
11.900
3
8
49
9
1.800.000
1
11.900
3
9
43
12
2.000.000
1
13.400
2
10
52
12
2.150.000
2
13.300
3
11
53
9
2.000.000
2
12.900
3
12
42
12
2.750.000
3
13.400
3
13
33
15
4.000.000
3
13.800
4
14
46
12
2.000.000
2
13.000
4
15
25
12
3.100.000
2
13.400
3
16
34
16
4.500.000
2
13.800
4
17
33
15
4.500.000
2
13.800
3
No.
Sampel
Umur
(Thn)
Pendidikan
(Thn)
Pendapatan
Per Bulan
(Rp)
Jumlah
Tanggungan
(Jiwa)
Harga Minyak
Goreng Curah
(Rp)
Jumlah
Konsumsi Per
Bulan
(Kg/Bln)
18
37
16
5.500.000
3
13.800
5
19
40
12
2.500.000
3
13.400
3
20
43
12
2.000.000
3
12.900
3
21
37
12
1.500.000
1
11.900
2
22
46
16
4.000.000
0
13.800
4
23
40
12
2.500.000
3
13.300
3
24
38
16
5.000.000
3
13.800
5
25
40
15
4.000.000
4
13.300
5
26
58
12
2.500.000
0
13.400
2
27
32
12
3.000.000
2
13.400
3
28
23
12
1.500.000
1
11.900
2
29
30
12
5.000.000
3
13.800
5
30
40
12
2.000.000
2
12.900
3
Lampiran 3. Hasil Uji T-Test Terhadap Karakteristik Konsumen Minyak Goreng Curah dan Kemasan
1.
Umur Konsumen
Group Statistics
konsumen N Mean Std. Deviation Std. Error Mean
umur konsumen minyak goreng
curah 30 42.2000 10.75559 1.96369
konsumen minyak goreng
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df
Sig.
(2-tailed) Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference
Lower Upper
umur Equal variances
assumed .386 .537 .050 58 .961 .13333 2.68856 -5.24840 5.51507
Equal variances
2. Tingkat Pendidikan
Group Statistics
konsumen N Mean Std. Deviation Std. Error Mean
tingkat pendidikan
konsumen minyak goreng curah
30 10.8000 2.17192 .39654
konsumen minyak goreng kemasan 30 12.4333 2.04574 .37350
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed)
Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference
Lower Upper tingkat
pendid ikan
Equal variances assumed .753 .389 -2.998 58 .004 -1.63333 .54474 -2.72375 -.54291
Equal variances not
3. Pendapatan
Group Statistics
konsumen N Mean Std. Deviation Std. Error Mean
pendapatan konsumen minyak goreng
curah 30 2.4067E6 7.59507E5 1.38666E5
konsumen minyak goreng
kemasan 30 2.9117E6 1.14911E6 2.09799E5
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed)
Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper pendapatan Equal variances
assumed 6.280 .015 -2.008 58 .049 -5.05000E5 2.51483E5 -1.00840E6 -1601.78481
Equal variances not
4. Jumlah Tanggungan
Group Statistics
konsumen N Mean Std. Deviation Std. Error Mean
jumlahtanggungan konsumen minyak goreng
curah 30 2.0333 1.27261 .23235
konsumen minyak goreng
kemasan 30 1.9333 1.01483 .18528
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper jumlahtanggunga n Equal variances assumed .593 .444 .336 58 .738 .10000 .29718 -.49486 .69486
Equal variances not
5. Harga Minyak Goreng
Group Statistics
konsumen N Mean Std. Deviation Std. Error Mean
hargaminyakgoreng konsumen minyak goreng
curah 30 1.0067E4 172.87295 31.56214
konsumen minyak goreng
kemasan 30 1.3180E4 654.63862 119.52011
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed)
Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper hargaminyakgoren g Equal variances assumed 27.594 .000 -25.185 58 .000 -3113.33333 123.61726 -3360.78016 -2865.88651 Equal variances not
6. Jumlah Konsumsi
Group Statistics
konsumen N Mean Std. Deviation Std. Error Mean
jumlahkonsumsi konsumen minyak goreng
curah 30 3.3667 1.21721 .22223
konsumen minyak goreng
kemasan 30 3.2333 1.00630 .18372
Independent Samples Test
Levene's Test for Equality of Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference
Std. Error Difference
95% Confidence Interval of the Difference
Lower Upper
jumlahkonsumsi Equal variances assumed .879 .352 .462 58 .646 .13333 .28834 -.44385 .71051
Lampiran 4. Pengaruh Input Terhadap Output Dalam Konsumsi Minyak Goreng Curah
Descriptive Statistics Mean Std. Deviation N jumlahkonsumsi 3.3667 1.21721 30 umur 42.2000 10.75559 30 pendidikan 10.8000 2.17192 30pendapatan 2.4123E6 8.06105E5 30
jumlahtanggungan 2.0333 1.27261 30
Correlations
jumlahkonsum
si
umur
pendidikan pendapatan
jumlahtanggun
gan
hargaminyakg
oreng
Pearson Correlation jumlahkonsumsi
1.000
-.066
.407
.636
.838
.290
umur
-.066
1.000
-.410
-.188
-.207
.030
pendidikan
.407
-.410
1.000
.703
.389
.083
pendapatan
.636
-.188
.703
1.000
.384
.439
jumlahtanggungan
.838
-.207
.389
.384
1.000
.146
hargaminyakgoreng
.290
.030
.083
.439
.146
1.000
Sig. (1-tailed)
jumlahkonsumsi
.
.364
.013
.000
.000
.060
umur
.364
.
.012
.161
.136
.438
pendidikan
.013
.012
.
.000
.017
.332
pendapatan
.000
.161
.000
.
.018
.008
jumlahtanggungan
.000
.136
.017
.018
.
.220
hargaminyakgoreng
.060
.438
.332
.008
.220
.
N
jumlahkonsumsi
30
30
30
30
30
30
umur
30
30
30
30
30
30
pendidikan
30
30
30
30
30
30
pendapatan
30
30
30
30
30
30
jumlahtanggungan
30
30
30
30
30
30
hargaminyakgoreng
30
30
30
30
30
30
Variables Entered/Removedb Model Variables Entered Variables Removed Method 1 hargaminyakgor eng, umur, jumlahtanggung an, pendidikan, pendapatana . Enter
a. All requested variables entered. b. Dependent Variable: jumlahkonsumsi
Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Durbin-Watson R Square Change F Change df1 df2 Sig. F Change
1 .926a .857 .828 .50534 .857 28.851 5 24 .000 2.207
a. Predictors: (Constant), hargaminyakgoreng, umur, jumlahtanggungan, pendidikan, pendapatan b. Dependent Variable: jumlahkonsumsi
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 36.838 5 7.368 28.851 .000a
Residual 6.129 24 .255
Total 42.967 29
a. Predictors: (Constant), hargaminyakgoreng, umur, jumlahtanggungan, pendidikan, pendapatan
b. Dependent Variable: jumlahkonsumsi
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) umur pendidikan pendapatan
jumlahtanggunga n hargaminyakgore ng 1 1 5.629 1.000 .00 .00 .00 .00 .01 .00 2 .239 4.850 .00 .03 .00 .00 .69 .00 3 .088 8.019 .00 .16 .02 .17 .29 .00 4 .034 12.878 .00 .41 .06 .30 .00 .00 5 .010 23.667 .00 .39 .78 .23 .00 .00 6 9.977E-5 237.528 1.00 .00 .14 .29 .00 1.00
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 36.838 5 7.368 28.851 .000a
Residual 6.129 24 .255
Total 42.967 29
a. Predictors: (Constant), hargaminyakgoreng, umur, jumlahtanggungan, pendidikan, pendapatan
a. Dependent Variable: jumlahkonsumsi
Coefficientsa Model Unstandardized Coefficients Standar dized Coeffici ents t Sig. 95% Confidence
Interval for B Correlations Collinearity Statistics
B Std. Error Beta
Lower
Bound Upper Bound Zero-order Partial Part Tolerance VIF
1 (Constant) 3.691 6.564 .562 .579 -9.856 17.238
umur .011 .010 .101 1.175 .251 -.009 .031 -.066 .233 .091 .806 1.241
pendidikan -.121 .071 -.216 -1.706 .101 -.267 .025 .407 -.329 -.132 .371 2.697
jumlahtanggungan .709 .082 .741 8.692 .000 .541 .877 .838 .871 .670 .817 1.224
hargaminyakgoreng .000 .001 -.041 -.446 .659 -.002 .001 .290 -.091 -.034 .705 1.419
a. Dependent Variable: jumlahkonsumsi
Coefficient Correlationsa Model hargaminyakgore ng umur jumlahtanggunga n pendidikan pendapatan 1 Correlations hargaminyakgoreng 1.000 .013 -.039 .335 -.524 umur .013 1.000 .084 .364 -.150 jumlahtanggungan -.039 .084 1.000 -.140 -.133 pendidikan .335 .364 -.140 1.000 -.703 pendapatan -.524 -.150 -.133 -.703 1.000
Covariances hargaminyakgoreng 4.182E-7 8.180E-8 -2.050E-6 1.539E-5 -6.710E-11
jumlahtanggungan -2.050E-6 6.696E-5 .007 .000 -2.149E-9
pendidikan 1.539E-5 .000 .000 .005 -9.867E-9
pendapatan -6.710E-11 -2.876E-10 -2.149E-9 -9.867E-9 3.915E-14 a. Dependent Variable: jumlahkonsumsi
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 1.4640 6.0057 3.3667 1.12706 30
Std. Predicted Value -1.688 2.342 .000 1.000 30
Standard Error of Predicted
Value .117 .329 .217 .065 30
Adjusted Predicted Value 1.3072 6.0096 3.3524 1.12443 30
Residual -1.06942 1.13076 .00000 .45972 30
Std. Residual -2.116 2.238 .000 .910 30
Deleted Residual -1.43191 1.70371 .01425 .60672 30
Stud. Deleted Residual -2.768 3.247 .020 1.119 30
Mahal. Distance .584 11.350 4.833 3.193 30
Cook's Distance .000 .637 .058 .127 30
Centered Leverage Value .020 .391 .167 .110 30
Lampiran 5. Pengaruh Input Terhadap Output Dalam Konsumsi Minyak Goreng Kemasan
Descriptive Statistics Mean Std. Deviation N jumlahkonsumsi 3.2333 1.00630 30 umur 42.0667 10.05822 30 pendidikan 12.4333 2.04574 30pendapatan 2.9033E6 1.17297E6 30
jumlahtanggungan 1.9333 1.01483 30
Correlations
jumlahkonsum
si umur pendidikan pendapatan
jumlahtanggunga n hargaminyakgorengkem asan Pearson Correlation jumlahkonsumsi 1.000 -.237 .552 .698 .590 .438 umur -.237 1.000 -.375 -.236 -.358 -.094 pendidikan .552 -.375 1.000 .761 .313 .698 pendapatan .698 -.236 .761 1.000 .383 .774 jumlahtanggungan .590 -.358 .313 .383 1.000 .347 hargaminyakgorengkema san .438 -.094 .698 .774 .347 1.000
Sig. (1-tailed) jumlahkonsumsi . .104 .001 .000 .000 .008
umur .104 . .021 .105 .026 .311 pendidikan .001 .021 . .000 .046 .000 pendapatan .000 .105 .000 . .018 .000 jumlahtanggungan .000 .026 .046 .018 . .030 hargaminyakgorengkema san .008 .311 .000 .000 .030 . N jumlahkonsumsi 30 30 30 30 30 30 umur 30 30 30 30 30 30 pendidikan 30 30 30 30 30 30 pendapatan 30 30 30 30 30 30 jumlahtanggungan 30 30 30 30 30 30 hargaminyakgorengkema san 30 30 30 30 30 30
Variables Entered/Removedb Model Variables Entered Variables Removed Method 1 hargaminyakgor engkemasan, umur, jumlahtanggung an, pendidikan, pendapatana . Enter
a. All requested variables entered. b. Dependent Variable: jumlahkonsumsi
Model Summaryb Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics Durbin-Watson R Square
Change F Change df1 df2 Sig. F Change
1 .814a .662 .591 .64324 .662 9.395 5 24 .000 2.448
a. Predictors: (Constant), hargaminyakgorengkemasan, umur, jumlahtanggungan, pendidikan, pendapatan b. Dependent Variable: jumlahkonsumsi
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 19.436 5 3.887 9.395 .000a
Residual 9.930 24 .414
Total 29.367 29
a. Predictors: (Constant), hargaminyakgorengkemasan, umur, jumlahtanggungan, pendidikan, pendapatan
b. Dependent Variable: jumlahkonsumsi
Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig.
Correlations Collinearity Statistics B Std. Error Beta
Zero-order Partial Part Tolerance VIF
1 (Constant) 6.920 3.504 1.974 .060 umur .012 .014 .121 .864 .396 -.237 .174 .103 .713 1.403 pendidikan .091 .101 .185 .900 .377 .552 .181 .107 .335 2.989 pendapatan 6.175E-7 .000 .720 3.309 .003 .698 .560 .393 .298 3.359 jumlahtanggungan .431 .136 .435 3.179 .004 .590 .544 .377 .753 1.328 hargaminyakgorengkemasan .000 .000 -.388 -1.906 .069 .438 -.363 -.226 .340 2.944
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
Variance Proportions
(Constant) umur pendidikan pendapatan
jumlahtanggunga n hargaminyakgore ngkemasan 1 1 5.667 1.000 .00 .00 .00 .00 .00 .00 2 .200 5.319 .00 .05 .00 .01 .48 .00 3 .098 7.611 .00 .04 .00 .25 .37 .00 4 .029 14.033 .01 .56 .06 .19 .09 .00 5 .006 32.006 .05 .32 .88 .27 .05 .02 6 .000 109.095 .95 .03 .05 .28 .02 .98
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 2.0939 5.1661 3.2333 .81867 30
Std. Predicted Value -1.392 2.361 .000 1.000 30
Standard Error of Predicted
Value .172 .429 .280 .068 30
Adjusted Predicted Value 2.1135 5.2253 3.2249 .80777 30
Residual -1.04689 1.76663 .00000 .58517 30
Std. Residual -1.628 2.746 .000 .910 30
Stud. Residual -1.773 2.871 .005 1.001 30
Deleted Residual -1.24183 1.92993 .00841 .71718 30
Stud. Deleted Residual -1.861 3.468 .029 1.087 30
Mahal. Distance 1.117 11.960 4.833 2.818 30
Cook's Distance .000 .345 .039 .074 30
Centered Leverage Value .039 .412 .167 .097 30