Penjualan Beras Hitam Organik BULAN Harga pembelian Penjualan (Kg) Januari - Februari - Maret - April - Mei - Juni 25,000 5 Juli 25,000 3 Agustus 25,000 6 September - Oktober - November - Desember 25,000 10 Penjualan Ciherang BULAN Harga pembelian Penjual
Lampiran 1. Data penjualan JAPPSA Penjualan Pandan Wangi BULAN
10 Penjualan Ciherang BULAN Harga pembelian
58 November 11,500 106 Desember 11,500
97 Oktober 11,500
47 September 11,500
69 Juni 11,000 131 Juli 11,000 118 Agustus 11,500
80 Februari 11,000 147 Maret 11,000 128 April 11,000 112 Mei 11,000
(Kg) Januari 11,000
58 Desember 9,500 102 Penjualan Beras Merah Organik BULAN Harga pembelian Penjualan
32 November 9,500
25 Oktober 9,500
55 Juni 9,500 166 Juli 9,500 148 Agustus 9,500 132 September 9,500
50 Mei 9,500
20 April 9,500
10 Maret 9,500
Penjualan (Kg) Januari 9,500 Februari 9,500
6 September - Oktober - November - Desember 25,000
Harga pembelian (Rp) Penjualan (Kg)
3 Agustus 25,000
5 Juli 25,000
Maret - April - Mei - Juni 25,000
Penjualan (Kg) Januari - Februari -
46 November 11,000 200 Desember 11,000 520 Penjualan Beras Hitam Organik BULAN Harga pembelian
76 Oktober 11,000
Juli 10,000 Agustus 10,000 111 September 10,000
50 Maret 10,000 April 10,000 Mei 10,000 Juni 10,000
30 Februari 10,000
Januari 10,000
Harga pembelian Penjualan (kg)
September 10,000 357 Oktober 10,000 427 November 10,000 334 Desember 10,000 520 Penjualan Kuku Balam BULAN
Mei 10,000 335 Juni 10,000 625 Juli 10,000 745 Agustus 10,000 618
Januari 10,000 150 Februari 10,000 185 Maret 10,000 210 April 10,000 285
80 Lampiran 2. Karakteristik Konsumen
Sampel Jenis
3 S1 5,000,000
39 P
46 IRT
5 SMA 2,500,000
40 P
30 PNS
3 S1 5,000,000
41 P
32 PNS
42 P
30 Pegawai Swasta
30 IRT
2 SMA 2,500,000
43 P
50 IRT
4 SMA 2,500,000
44 P
48 IRT
4 SMA 3,000,000
45 P
3 S1 4,000,000
38 P
4 SMA 4,500,000
34 P
50 IRT
4 SMA 3,000,000
32 L
62 Dokter
2 S1 6,000,000
33 L
62 Pegawai Swasta
7 S2 7,000,000
40 PNS
3 S1 3,000,000
3 S2 7,500,000
35 P
48 IRT
4 SMA 3,000,000
36 P
31 IRT
4 D3 2,500,000
37 P
52 IRT
40 IRT
46 P
3 SMA 2,500,000
57 P
45 IRT
4 SMA 3,000,000
55 P
30 IRT
4 D3 2,500,000
56 P
40 IRT
5 SMA 3,500,000
40 Wiraswasta
4 SMA 2,500,000
3 SMA 5,000,000
58 P
46 IRT
6 D3 4,500,000
59 P
40 IRT
4 S1 7,000,000
60 P
52 IRT
54 P
42 IRT
45 IRT
40 IRT
5 S1 6,000,000
47 P
28 IRT
3 SMA 2,000,000
48 P
30 Pegawai Swasta
4 S1 8,000,000
49 P
5 SMA 2,000,000
53 P
50 P
30 IRT
6 D3 3,000,000
51 P
50 IRT
4 SMA 3,800,000
52 P
45 IRT
5 S1 5,000,000
31 P
30 Wiraswasta
Kelamin Umur Pekerjaan Jumlah anggota Keluarga Pendididikan
11 L
52 Dosen
5 S3 12,000,000
9 P
34 Guru
3 S1 10,000,000
10 P
49 IRT
3 S1 15,000,000
48 PNS
4 D3 7,500,000
5 S1 5,000,000
12 L
30 Pegawai Swasta
2 D3 3,000,000
13 P
50 Wiraswasta
3 S1 7,000,000
14 P
42 IRT
8 P
43 Dosen
15 P
42 IRT
Terakhir Pendapatan
1 P
20 Mahasiswa
3 S1 6,000,000
2 L
50 PNS
5 D3 5,000,000
3 P
4 S1 6,000,000
7 L
4 P
40 Pegawai Swasta
4 D3 4,000,000
5 P
35 IRT
5 S2 8,000,000
6 P
46 IRT
4 D3 4,500,000
4 D3 3,500,000
30 PNS
30 P
44 Wiraswasta
2 S1 3,000,000
24 L
24 Wiraswasta
5 S1 10,000,000
25 P
59 IRT
6 SMA 4,000,000
26 L
4 SMA 6,000,000
23 P
27 P
40 IRT
5 D3 4,000,000
28 P
36 IRT
5 D3 15,000,000
29 P
41 IRT
7 D3 15,000,000
32 Wiraswasta
3 S1 7,500,000
3 S1 6,000,000
4 D3 10,000,000
16 P
32 PNS
4 S1 4,500,000
17 L
35 Wiraswasta
4 S1 6,500,000
18 P
49 IRT
19 L
51 Wiraswasta
35 PNS
6 S2 7,500,000
20 P
43 Wiraswasta
5 S2 10,000,000
21 L
56 PNS
3 S3 12,000,000
22 P
5 SMA 3,000,000 Lampiran 3. Faktor-faktor Yang Mempengaruhi Keputusan Konsumen
Sampel Pembelian Pendapatan Pendidikan Keluarga (orang tua)
8
7
1
26 1 6,000,000
12
1.25
6
1
27 1 4,000,000
15
1.25
1
1
28 1 15,000,000
15
1
1.25
4
1
29 1 15,000,000
15
1
1
1.25
1.25
1
1
1
21 1 12,000,000
23
1
2.5
6
1
22 1 7,500,000
17
2.1
8
23 1 3,000,000
12
17
1
1.28
7
1
24 1 10,000,000
17
1
1.25
7
25 1 4,000,000
4
30 1 2,500,000
8
7
1
35 1 3,000,000
12
2.1
7
1
36 1 2,500,000
15
1
1.25
1
1.25
37 1 3,000,000
17
1
1.25
6
1
38 1 4,000,000
17
1
1.25
8
6
1
12
17
1
2.1
8
1
31 1 3,000,000
12
1
1.9
6
1
32 1 6,000,000
1
19
1.25
7
1
33 1 7,000,000
19
1
1
1.25
8
1
34 1 7,500,000
1
1.9
Keluarga (balita)
8
8
1
6 1 4,500,000
15
1.25
7
1
7 1 7,500,000
19
1.25
8 1 12,000,000
1
23
1
1.25
5
1
9 1 10,000,000
17
1.25
8
10 1 15,000,000
17
1.25
1
7
8
Rasio harga Persepsi Gaya
Hidup
1 1 6,000,000
17
1
1.5
8
1
2 1 5,000,000
15
1.25
1
19
3 1 6,000,000
17
1.25
8
1
4 1 4,000,000
15
1.28
8
1
5 1 8,000,000
1.25
1
1
18 1 10,000,000
1
2.1
8
1
17 1 6,500,000
17
1
1.9
7
1
15
16 1 4,500,000
1
2.5
6
1
19 1 7,500,000
19
1
2.1
7
20 1 10,000,000
19
17
1
11 1 5,000,000
17
17
2.1
8
1
12 1 3,000,000
15
1
1.25
7
1
13 1 7,000,000
1
8
2.1
8
1
14 1 3,500,000
15
1.28
8
15 1 6,000,000
17
1
1.3
1 Universitas Sumatera Utara Sambungan Lampiran 3.
39 1 2,500,000
4
1 57 5,000,000
4
1.39
12
4 56 3,500,000
1.39
1
15
1 55 2,500,000
1.39
1.25
12
5 54 3,000,000
1.39
12
1 53 2,500,000
4
1.25
17
1 52 5,000,000
5
12
5 58 4,500,000
12
1
6.38
1.48
0.33
0.32
15.47
5,696,667
rata-rata
1
6
1.39
1
15
12
1 60 3,000,000
6
1.25
1
17
1 59 7,000,000
6
1.25
1
1.25
4 51 3,800,000
12
1
1 44 3,000,000
3
1.39
12
4 43 2,500,000
1.39
12
8 42 2,500,000
1.25
17
1.39
1 41 5,000,000
8
2.1
1
17
40 1 5,000,000
1
6
1.9
1
12
3
1.39
17
1
15
1 50 3,000,000
6
1.25
12
1 49 2,000,000
7
1.39
1
3 48 8,000,000
1 45 4,500,000
1.25
12
1 47 2,000,000
6
1.25
17
1 46 6,000,000
6
1.39
12
0.80 Universitas Sumatera Utara Lampiran 4. Persepsi Konsumen
Sampel lebih ramah harga lebih lebih lebih lebih lokasi menyukai sehat Lingkungan mahal pulen wangi putih terbatas rasa
37
1
1
1
38
1
1
1
1
1
1
1
1
1
1
1
1
1
1
36
1
1
1
1
1
1
1
1
1
1
1
1
1
1
41
1
1
1
1
1
1
1
1
40
1
1
1
1
1
1
39
1
1
1
1
30
1
1
31
1
1
1
1
1
1
1
1
1
1
1
1
1
29
1
1
1
1
28
1
1
1
1
35
1
1
1
1
1
1
1
34
1
1
1
1
1
1
1
1
33
1
1
1
1
1
1
1
32
1
42
1
1
1
1
56
1
1
1
1
55
1
1
1
1
54
1
1
1
1
1
53
1
1
1
1
1
57
1
1
1
1
1
1
1
60
1
1
1
1
1
59
1
1
1
1
1
1
1
58
1
1
1
1
52
1
1
1
1
1
1
1
1
46
1
1
1
1
1
45
47
1
1
1
44
1
1
1
43
1
1
1
1
1
1
1
1
1
51
1
1
1
1
50
1
1
1
1
1
1
49
1
1
1
1
1
1
1
48
1
1
1
1
1
1
1
10
1
1
1
1
1
1
1
9
1
1
1
1
1
1
8
1
1
1
1
1
1
1
1
1
1
1
1
1
1
13
1
1
1
1
1
1
1
12
1
1
1
1
1
1
1
1
11
1
1
1
1
1
1
1
1
1
1
1
3
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
4
7
1
1
1
1
1
1
1
1
6
1
1
1
1
1
1
1
1
5
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
23
1
1
1
1
1
1
1
1
22
1
1
1
1
1
1
21
1
1
1
24
1
1
1
1
27
1
1
1
1
1
1
26
1
1
1
1
1
1
1
25
1
1
1
1
1
1
1
1
14
1
1
1
1
1
1
1
16
1
1
1
1
1
1
1
1
15
1
1
1
1
1
1
1
1
1
17
1
1
1
1
20
1
1
1
1
1
1
1
19
1
1
1
1
1
1
18
1
1
1
1
1
1
1 Lampiran 5. Kriteria Gaya Hidup Sehat sampel konsumsi tidak tidak tidak airputih rutin istirahat tidak ada dummy pangan organik fastfood mie instan soda
Setiap hari olahraga cukup merokok Tanaman dirumah total gaya hidup
1
1
39
1
1
1
1
1
1
1
1
1
9
1
40
1
9
1
1
8
1
1
1
1
1
1
1
1
1
38
1
1
1
1
1
1
1
1
37
1
6
43
1
1
1
1
1
1
1
1
8
1
44
1
1
1
1
1
1
1
1
1
1
1
9
1
41
1
1
1
1
1
5
42
1
1
1
1
1
1
32
1
1
1
1
1
1
1
8
1
9
1
33
1
1
1
1
1
1
8
1
1
1
1
1
1
1
1
1
31
1
1
1
1
1
1
1
1
8
36
1
1
1
1
1
8
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
9
1
34
1
1
1
35
1
1
1
1
1
9
1
1
1
30
5
55
1
1
1
1
1
56
8
1
1
1
1
1
1
1
1
1
8
1
1
53
1
1
1
1
1
6
1
54
1
1
1
1
1
1
1
1
1
1
1
1
1
1
8
1
60
1
1
1
1
1
1
1
1
8
1
1
57
1
1
1
1
1
4
58
1
1
1
1
1
1
1
7
1
59
8
1
1
1
1
1
1
8
1
47
1
1
1
1
1
5
48
1
1
1
1
1
1
1
1
8
1
45
1
1
1
1
1
1
1
1
8
1
46
1
1
1
1
1
1
1
1
1
1
1
1
8
5
1
52
1
1
1
1
1
51
1
1
1
7
1
49
1
1
1
1
1
1
1
7
1
50
1
1
1
1
1
1
9
1
1
1
1
1
1
1
1
11
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
9
9
10
1
1
1
1
1
1
6
1
1
1
1
1
1
9
1
14
1
1
1
1
1
1
6
15
1
1
1
1
1
9
1
1
12
1
1
1
1
1
1
1
1
8
1
13
1
1
1
1
1
1
1
1
9
1
3
1
1
1
1
1
1
1
1
1
9
1
4
1
1
1
1
1
1
1
1
1
1
1
1
1
9
1
2
1
1
1
1
1
1
8
1
1
1
1
1
1
1
8
7
1
1
1
1
1
1
1
6
1
6
1
1
1
1
1
1
8
1
5
1
1
1
1
1
1
1
1
8
1
1
8
1
1
1
1
1
1
1
1
5
8
1
26
1
1
1
1
25
1
1
1
1
23
1
1
1
1
1
1
1
1
8
1
24
1
1
1
1
1
1
29
1
1
1
1
1
9
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
9
1
27
1
1
1
1
1
1
1
1
1
9
1
28
9
1
1
1
1
1
1
1
8
1
18
1
1
1
1
1
1
1
1
1
1
1
1
1
1
8
1
16
1
1
1
1
1
1
1
1
1
9
1
17
9
19
1
9
1
1
1
1
1
1
1
1
1
22
1
1
1
1
1
1
1
21
1
1
1
1
1
1
5
20
1
1
1
1
1
1
1
1
1
9
1 Lampiran 6. Output Logistic Regression Logistic Regression Case Processing Summary a
Unweighted Cases N Percent Included in Analysis 60 100.0 Selected Cases Missing Cases .0
Total 60 100.0 Unselected Cases .0 Total 60 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding Original Value Internal Value .00
1.00
1 Categorical Variables Codings Frequency Parameter
coding
(1)
.00 12 .000 Gaya Hidup 1.00 48 1.000 .00
40 .000 Keluarga(balita) 1.00 20 1.000 .00
41 .000 Keluarga(Orangtua) 1.00 19 1.000
Block 0: Beginning Block a,b,c Iteration History Iteration -2 Log Coefficients likelihood
Constant 1 76.391 .667 Step 0 2 76.382 .693 3 76.382 .693 a. Constant is included in the model.
b. Initial -2 Log Likelihood: 76.382 c. Estimation terminated at iteration number 3 because parameter estimates changed by less than .001.
Classification Table a,b Observed
Predicted Keputusan Membeli Percentage Correct .00
1.00 Step 0 Keputusan Membeli .00 20 .0
1.00 40 100.0 Overall Percentage 66.7 a. Constant is included in the model.
b. The cut value is .500
Variables in the Equation B S.E. Wald df Sig. Exp(B) Step 0 Constant .693 .274 6.406
1 .011 2.000 Variables not in the Equation Score df Sig.
Step 0 Variables X1 9.017 1 .003 X2 12.295
1 .000 D1(1) 6.508 1 .011 D2(1) .150 1 .699 X3 5.515 1 .019 X4 25.297 1 .000 D3(1) 4.219 1 .040 Overall Statistics 34.936 7 .000
Block 1: Method = Enter Iteration History a,b,c,d Iteration -2 Log likelihood Coefficients Constant
X1 X2 D1(1) D2(1)
X3 X4 D3(1) Step 1 1 40.023 -5.910 .153 -.008 .614 -.085 .589 .689 .530 2 31.977 -10.435 .276 -.001 .984 -.409 1.321 1.082 1.043 3 28.848 -15.541 .409 .014 1.237 -.840 2.224 1.473 1.761 4 27.953 -20.030 .512 .027 1.425 -1.085 2.868 1.845 2.450 5 27.829 -22.394 .564 .029 1.518 -1.160 3.142 2.064 2.820 6 27.825 -22.879 .575 .028 1.536 -1.171 3.191 2.112 2.897 7 27.825 -22.896 .576 .028 1.537 -1.171 3.193 2.114 2.900 8 27.825 -22.896 .576 .028 1.537 -1.171 3.193 2.114 2.900 a. Method: Enter b. Constant is included in the model.
c. Initial -2 Log Likelihood: 76.382 d. Estimation terminated at iteration number 8 because parameter estimates changed by less than .001.
Omnibus Tests of Model Coefficients Chi-square df Sig.
Step 1 Step 48.556 7 .000 Block 48.556 7 .000 Model 48.556 7 .000
Universitas Sumatera Utara
Model Summary Step -2 Log likelihood
Cox & Snell R Square Nagelkerke R Square
1 27.825 a
.555 .771
a. Estimation terminated at iteration number 8 because parameter estimates changed by less than .001.
1 3.516 8 .898 Contingency Table for Hosmer and Lemeshow Test
5 2 1.231 4 4.769
6 Universitas Sumatera Utara
6 10 .001 6 5.999
6 9 .015 6 5.985
6 8 .079 6 5.921
6 7 .146 6 5.854
6 1 .430 5 5.570
6
6
Keputusan Membeli = .00 Keputusan Membeli = 1.00 Total Observed Expected Observed Expected Step 1
4 1 2.567 5 3.433
Hosmer and Lemeshow Test Step Chi-square df Sig.
3 4 3.601 2 2.399
6
2 6 5.931 .069
6
1 6 5.998 .002
6
Classification Table
a
Observed Predicted Keputusan Membeli Percentage Correct .00
X3 X4 D3(1) Step 1 Constant 1.000 -.611 -.261 -.187 .241 -.519 -.722 -.628 X1 -.611 1.000 -.341 .261 -.358 .044 .793 .485 X2 -.261 -.341 1.000 -.023 -.097 .281 -.325 -.071 D1(1) -.187 .261 -.023 1.000 .013 -.170 .286 .058 D2(1) .241 -.358 -.097 .013 1.000 .009 -.255 -.254 X3 -.519 .044 .281 -.170 .009 1.000 -.045 -.036 X4 -.722 .793 -.325 .286 -.255 -.045 1.000 .670 D3(1) -.628 .485 -.071 .058 -.254 -.036 .670 1.000
Correlation Matrix
ConstantPendapatan .576 .253 5.176 1 .023 1.779 1.083 2.921 Pendidikan .028 .248 .013 1 .909 1.029 .632 1.674 Dummy Orang Tua 1.537 1.159 1.757 1 .185 4.649 .479 45.106 Dummy Balita -1.171 1.074 1.189 1 .276 .310 .038 2.545 Rasio Harga 3.193 3.010 1.126 1 .289 24.362 .067 8881.879 Persepsi 2.114 .907 5.434 1 .020 8.279 1.400 48.959 Gaya Hidup 2.900 1.955 2.200 1 .138 18.166 .394 837.820 Constant -22.896 9.049 6.402 1 .011 .000 a. Variable(s) entered on step 1: X1, X2, D1, D2, X3, X4, D3.
Step 1 a
Variables in the Equation
B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper88.3
95.0 Overall Percentage
38
2
1.00
75.0
5
15
1.00 Step 1 Keputusan Membeli .00