Pengaruh Karakteristik Sosial Ekonomi Konsumen Terhadap Jumlah Konsumsi Beras (Studi Kasus : Kecamatan Medan Denai)

Lampiran 1. Karakteristik Konsumen Beras di Kecamatan Medan Denai
Konsumsi
Jumlah
Beras
Pendidikan
Anggota
Usia
Pendapatan
No
Rumah
(Tahun)
Keluarga
(Tahun)
(Rp/Bulan)
Tangga
(Jiwa)
(kg/bulan)
1
61
23.000.000
4

3
20
2
45
20.000.000
2
5
10
3
42
19.000.000
3
5
10
4
44
20.000.000
4
5
10

5
49
20.000.000
2
5
20
6
64
17.500.000
3
6
10
7
51
18.000.000
3
3
10
8
49

45.000.000
4
5
30
9
60
18.500.000
3
5
30
10
32
16.000.000
8
6
50
11
51
50.000.000
4

5
30
12
48
15.100.000
4
3
30
13
50
20.000.000
4
5
25
14
74
15.000.000
3
5
30

15
62
20.000.000
3
5
30
16
52
15.500.000
5
3
30
17
55
26.872.000
4
5
20
18
54

17.052.000
3
5
10
19
52
20.000.000
3
3
10
20
53
16.000.000
3
5
10
21
48
12.500.000
3

5
15
22
56
14.000.000
3
6
30
23
52
13.000.000
3
6
10
24
54
14.000.000
6
5
50

25
49
11.500.000
4
6
20
26
56
11.000.000
4
5
10
27
56
12.000.000
4
6
30
28
55

10.000.000
4
3
15
29
49
11.000.000
4
5
30
30
64
11.500.000
3
6
18
31
55
10.000.000
3

2
20
32
54
11.000.000
3
5
30
33
57
12.000.000
4
4
30
34
51
11.350.000
4
6
30

35
50
15.000.000
2
5
10
36
45
12.000.000
2
5
10
37
51
10.000.000
4
6
10
38
50
10.000.000
6
5
30
39
59
14.500.000
4
5
10

Universitas Sumatera Utara

No

Usia
(Tahun)

Pendapatan
(Rp/Bulan)

Jumlah
Anggota
Keluarga
(Jiwa)

40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78

33
34
49
49
35
56
58
40
48
51
50
56
40
40
49
55
38
51
49
52
48
45
36
45
48
51
53
58
50
44
66
29
83
50
55
42
51
50
45

11.000.000
9.100.000
7.500.000
8.000.000
8.000.000
6.500.000
6.000.000
6.000.000
5.000.000
6.000.000
6.000.000
9.000.000
8.000.000
8.000.000
5.000.000
5.000.000
5.000.000
5.000.000
5.000.000
6.000.000
8.000.000
2.600.000
3.000.000
4.000.000
4.000.000
2.500.000
4.000.000
4.900.000
2.700.000
4.000.000
3.000.000
2.200.000
3.000.000
3.500.000
3.000.000
5.000.000
5.000.000
2.500.000
2.800.000

4
4
3
4
4
3
3
5
2
6
4
4
6
3
4
2
5
5
4
5
5
4
3
3
4
4
5
4
4
3
1
2
2
3
3
3
5
5
4

Pendidikan
(Tahun)
5
5
2
5
3
3
3
3
5
5
3
5
5
5
7
3
5
3
5
3
5
6
3
2
3
3
3
2
3
3
3
5
3
3
3
3
3
3
3

Konsumsi
Beras
Rumah
Tangga
(kg/bulan)
10
10
10
10
15
20
10
30
10
30
20
15
30
10
20
15
13
17
15
30
20
30
10
25
30
20
15
25
15
15
5
10
10
13
10
10
20
20
10

Universitas Sumatera Utara

No

Usia
(Tahun)

Pendapatan
(Rp/Bulan)

Jumlah
Anggota
Keluarga
(Jiwa)

79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100

49
34
30
61
49
57
51
47
51
50
48
65
50
53
48
38
54
51
62
40
47
45

3.000.000
3.500.000
1.900.000
400.000
1.500.000
1.700.000
2.000.000
2.000.000
1.500.000
2.000.000
1.800.000
1.600.000
1.800.000
2.000.000
1.500.000
1.800.000
2.000.000
1.600.000
2.000.000
1.900.000
1.800.000
1.300.000

4
2
2
2
2
4
3
4
4
6
4
4
5
4
3
2
2
3
4
4
4
3

Pendidikan
(Tahun)

Konsumsi
Beras
Rumah
Tangga
(kg/bulan)

4
3
4
1
5
3
3
3
2
1
3
2
2
1
3
5
2
1
3
3
2
1

30
10
5
15
15
20
30
20
30
30
20
20
30
15
10
10
10
10
20
15
20
15

KeteranganPendidikan:
1 =SD
2 = SMP
3 = SMA
4 = Diploma
5 = S1
6 = S2
7 = S3

Universitas Sumatera Utara

Lampiran 2. Hasil Analisis Pengaruh Karakteristik Konsumen
Terhadap Jumlah konsumsi Beras.
Model Summaryb
Model

R

1

R Square
.589

a

Std. Error of the
Estimate

Adjusted R Square

.347

.319

Durbin-Watson

7.54319

1.674

a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun)
b. Dependent Variable: Jumlah(Kg/Bulan)
ANOVAb
Model

Sum of Squares

1

df

Mean Square

Regression

2871.481

4

717.870

Residual

5405.479

95

56.900

Total

8276.960

99

F

Sig.
.000a

12.616

a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun)
b. Dependent Variable: Jumlah(Kg/Bulan)
Coefficientsa
Unstandardized
Coefficients
Model

B

1

-7.804

6.569

.231

.090

Pendidikan
(Tahun)

-.178

Pendapatan
(Rp/Bulan)
JAK (Jiwa)

(Constant)

Std. Error

Standardized
Coefficients

Collinearity
Statistics

Beta

t

Sig.

Tolerance

VIF

-1.188

.238

.218

2.553

.012

.943

1.060

.251

-.066

-.711

.479

.792

1.263

3.015E-7

.000

.276

2.947

.004

.787

1.271

3.961

.678

.491

5.845

.000

.975

1.025

Usia (Tahun)

a. Dependent Variable: Jumlah(Kg/Bulan)
Collinearity Diagnosticsa
Variance Proportions
Model Dimension Eigenvalue
1

Condition
Usia
Pendidikan Pendapatan JAK
Index (Constant) (Tahun)
(Tahun) (Rp/Bulan) (Jiwa)

1

4.498

1.000

.00

.00

.00

.01

.00

2

.376

3.460

.00

.00

.00

.79

.02

3

.074

7.812

.01

.06

.05

.03

.82

4

.044

10.113

.00

.20

.67

.10

.00

5

.009

22.302

.99

.74

.29

.07

.16

a. Dependent Variable: Jumlah(Kg/Bulan)

Universitas Sumatera Utara

Residuals Statisticsa
Minimum
Predicted Value
Std. Predicted Value
Standard Error of Predicted
Value
Adjusted Predicted Value
Residual
Std. Residual
Stud. Residual
Deleted Residual
Stud. Deleted Residual
Mahal. Distance
Cook's Distance
Centered Leverage Value

Maximum

Mean

Std. Deviation

N

4.6256
-2.572
.899

32.7083
2.642
4.026

18.4800
.000
1.592

5.38562
1.000
.560

100
100
100

3.9430
-14.75623
-1.956
-2.024
-15.79015
-2.058
.415
.000
.004

33.3877
20.20233
2.678
2.816
25.11725
2.926
27.218
.632
.275

18.4294
.00000
.000
.003
.05063
.006
3.960
.015
.040

5.30432
7.38924
.980
1.012
7.90851
1.022
4.213
.064
.043

100
100
100
100
100
100
100
100
100

a. Dependent Variable: Jumlah(Kg/Bulan)

Universitas Sumatera Utara

Hasil Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N
Normal Parameters

100
a,,b

Mean
Std. Deviation

Most Extreme Differences

.0000000
7.38923560

Absolute

.070

Positive

.070

Negative

-.043

Kolmogorov-Smirnov Z

.698

Asymp. Sig. (2-tailed)

.714

a. Test distribution is Normal.
b. Calculated from data.

Universitas Sumatera Utara

Hasil Uji Multikolinearitas
Coefficientsa
Unstandardized

Standardized

Collinearity

Coefficients

Coefficients

Statistics

Model

B

1

-7.804

6.569

.231

.090

-.178

(Constant)
Usia (Tahun)
Pendidikan

Std. Error

Beta

t

Sig.

Tolerance

VIF

-1.188

.238

.218

2.553

.012

.943

1.060

.251

-.066

-.711

.479

.792

1.263

3.015E-7

.000

.276

2.947

.004

.787

1.271

3.961

.678

.491

5.845

.000

.975

1.025

(Tahun)
Pendapatan
(Rp/Bulan)
JAK (Jiwa)

a. Dependent Variable: Jumlah(Kg/Bulan)

Universitas Sumatera Utara

Hasil Uji Heterokedastisitas

ANOVAb
Model
1

Sum of Squares
Regression

df

Mean Square

.000

4

.000

Residual

412032.107

95

4337.180

Total

412032.107

99

F

Sig.
.000

1.000a

a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun)
b. Dependent Variable: Unstandardized Residual

Coefficientsa

Model
1

Unstandardized

Standardized

Collinearity

Coefficients

Coefficients

Statistics

B

(Constant)

Std. Error

-1.954E-

Beta

57.349

t

Sig.

.000

1.000

Tolerance

VIF

14
Usia (Tahun)

.000

.790

.000

.000

1.000

.943

1.060

Pendidikan

.000

2.188

.000

.000

1.000

.792

1.263

.000

.000

.000

.000

1.000

.787

1.271

.000

5.916

.000

.000

1.000

.975

1.025

(Tahun)
Pendapatan
(Rp/Bulan)
JAK (Jiwa)

a. Dependent Variable: Unstandardized Residual

Hasil Uji Autokorelasi
Model Summaryb
Std. Error of the
Model
1

R

R Square
.589a

Adjusted R Square

.347

.319

Estimate
7.54319

Durbin-Watson
1.674

a. Predictors: (Constant), JAK (Jiwa), Pendapatan (Rp/Bulan), Usia (Tahun), Pendidikan (Tahun)
b. Dependent Variable: Jumlah(Kg/Bulan)

Universitas Sumatera Utara

Lampiran 3 Konsumsi Beras Konsumen Berdasarkan Tingkat
Pendapatan Dengan Atribut Beras.
No
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43

Pendapatan
Kepulenan Aroma
(Rp)
23,000,000
1
2
20,000,000
1
1
19,000,000
1
1
20,000,000
1
1
20,000,000
1
1
17,500,000
1
1
18,000,000
1
1
45,000,000
1
1
18,500,000
1
1
16,000,000
2
2
50,000,000
1
1
15,100,000
1
2
20,000,000
1
3
15,200,000
2
2
20,000,000
1
1
15,500,000
2
1
26,872,000
1
1
17,052,000
1
1
20,000,000
1
1
16,000,000
1
1
12,500,000
2
1
14,000,000
1
2
13,000,000
1
1
14,000,000
2
3
11,500,000
2
2
11,000,000
2
2
12,000,000
1
1
10,100,000
2
2
11,000,000
1
1
11,500,000
1
1
10,250,000
2
2
11,000,000
1
1
12,000,000
1
1
11,350,000
2
2
15,000,000
1
1
12,000,000
1
1
10,200,000
1
2
10,100,000
1
1
14,500,000
1
1
11,000,000
2
1
9,100,000
1
1
7,500,000
2
1
8,000,000
1
1

Daya
Tahan
3
2
3
3
3
3
3
2
3
3
3
3
2
3
2
3
3
3
3
2
3
3
2
3
3
3
3
3
2
3
3
3
3
1
3
1
3
2
3
3
3
3
3

Bentuk
2
2
1
1
2
2
2
2
1
2
1
1
1
2
2
2
1
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
1
2
1
1
2
2
2
2
2

Derajat
Putih
1
1
2
2
2
2
1
2
2
2
1
1
1
2
1
2
1
2
2
2
2
1
2
2
2
2
2
2
1
2
2
2
2
1
2
2
2
1
1
1
1
2
2

Jenis
4
4
4
6
4
4
4
2
9
4
2
9
3
4
3
3
4
4
3
4
3
3
4
1
1
1
1
8
4
2
3
1
2
2
4
5
5
4
6
1
3
4
3

Universitas Sumatera Utara

No
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89

Pendapatan
Kepulenan Aroma
(Rp)
8,000,000
2
1
6,500,000
2
2
6,000,000
1
2
6,000,000
2
2
5,500,000
2
2
6,000,000
1
2
6,000,000
2
2
9,000,000
2
1
8,000,000
1
2
8,000,000
1
2
5,200,000
1
1
5,300,000
1
1
5,175,000
2
1
5,320,000
1
2
5,500,000
2
2
6,000,000
2
2
8,000,000
1
1
2,600,000
2
2
3,000,000
2
2
4,000,000
2
2
4,000,000
1
2
2,500,000
2
2
4,000,000
2
2
4,900,000
1
2
2,700,000
3
2
4,000,000
1
3
3,000,000
2
2
2,200,000
2
2
3,000,000
2
2
3,500,000
2
1
3,000,000
1
2
5,000,000
2
1
5,000,000
1
3
2,500,000
1
2
2,800,000
3
2
3,000,000
2
2
3,500,000
1
1
1,900,000
2
1
400,000
3
2
1,500,000
2
3
1,700,000
1
1
2,000,000
2
2
2,000,000
2
2
1,500,000
2
2
2,000,000
2
2
1,800,000
2
2

Daya
Tahan
3
3
3
3
3
3
3
3
3
2
3
2
2
2
2
3
3
3
3
3
3
3
2
3
3
3
3
3
2
2
3
2
3
3
3
2
3
2
3
3
3
3
2
2
3
3

Bentuk
2
2
2
2
2
2
2
2
1
2
1
2
1
2
2
2
2
2
2
2
1
2
2
2
2
2
2
2
2
1
2
1
2
2
2
1
1
2
2
2
2
2
2
2
2
2

Derajat
Putih
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
2
2
1
2
2
2
1
2
2
1
2
2
2
2
2
2

Jenis
3
2
10
1
3
1
6
6
6
4
6
10
4
10
10
1
1
1
6
2
4
1
10
1
10
3
2
4
3
6
10
6
3
7
10
9
6
3
10
2
2
1
6
1
1
1

Universitas Sumatera Utara

No
90
91
92
93
94
95
96
97
98
99
100

Pendapatan
Kepulenan Aroma
(Rp)
1,600,000
2
2
1,800,000
2
2
2,000,000
3
3
1,500,000
3
2
1,800,000
2
2
2,000,000
2
2
1,600,000
2
2
2,000,000
3
2
1,900,000
3
2
1,800,000
3
2
1,300,000
3
2

Daya
Tahan
3
3
3
3
3
3
3
3
3
3
3

Bentuk
2
2
2
2
2
2
2
2
2
2
2

Derajat
Putih
2
2
2
2
2
2
2
2
2
2
2

Jenis
1
1
10
1
1
2
2
1
1
1
10

Keterangan:
1. Jenis Beras

4. Daya tahan Beras

1= IR 64

1= < 1 Bulan

2= Ramos

2= 1 Bulan

3= Kukubalam

3= >1 Bulan

4= Kukubalam super

5. Bentuk beras

5= Kukubalam spesial

1= Premium

6= AAA

2= Medium

7= Beras Organik

6. Derajat Putih

8= Beras tanpa gula basta

1= putih

9= Beras pulen

2= Sedang

10= Beras lainnya

3= kuning

2. Kepulenan
1= Pulen
2= Sedang
3= Tidak Pulen
3.Aroma beras
1= Pandan wangi
2= Tidak wangi
3= Lainnya

Universitas Sumatera Utara