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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

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(1)

Lampiran 1. Data penjualan JAPPSA

Penjualan Pandan Wangi

BULAN

Harga

pembelian (Rp)

Penjualan

(Kg)

Januari

10,000

150

Februari

10,000

185

Maret

10,000

210

April

10,000

285

Mei

10,000

335

Juni

10,000

625

Juli

10,000

745

Agustus

10,000

618

September

10,000

357

Oktober

10,000

427

November

10,000

334

Desember

10,000

520

Penjualan Kuku Balam

BULAN

Harga

pembelian

Penjualan

(kg)

Januari

10,000

30

Februari

10,000

50

Maret

10,000

0

April

10,000

0

Mei

10,000

0

Juni

10,000

0

Juli

10,000

0

Agustus

10,000

111

September

10,000

76

Oktober

11,000

46

November

11,000

200

Desember

11,000

520

Penjualan Beras Hitam Organik

BULAN

Harga pembelian

Penjualan

(Kg)

Januari

-

0

Februari

-

0

Maret

-

0

April

-

0

Mei

-

0

Juni

25,000

5

Juli

25,000

3

Agustus

25,000

6

September

-

0

Oktober

-

0

November

-

0

Desember

25,000

10

Penjualan Ciherang

BULAN

Harga

pembelian

Penjualan

(Kg)

Januari

9,500

0

Februari

9,500

10

Maret

9,500

20

April

9,500

50

Mei

9,500

55

Juni

9,500

166

Juli

9,500

148

Agustus

9,500

132

September

9,500

25

Oktober

9,500

32

November

9,500

58

Desember

9,500

102

Penjualan Beras Merah Organik

BULAN

Harga pembelian

Penjualan

(Kg)

Januari

11,000

80

Februari

11,000

147

Maret

11,000

128

April

11,000

112

Mei

11,000

69

Juni

11,000

131

Juli

11,000

118

Agustus

11,500

47

September

11,500

97

Oktober

11,500

58

November

11,500

106

(2)

Lampiran 2. Karakteristik Konsumen

Sampel

Jenis

Kelamin Umur Pekerjaan Jumlah anggota Keluarga

Pendididikan

Terakhir Pendapatan

1 P 20 Mahasiswa 3 S1 6,000,000

2 L 50 PNS 5 D3 5,000,000

3 P 42 IRT 4 S1 6,000,000

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

7 L 43 Dosen 4 D3 7,500,000

8 P 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

11 L 48 PNS 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 4 D3 3,500,000

15 P 30 PNS 3 S1 6,000,000

16 P 32 PNS 4 S1 4,500,000

17 L 35 Wiraswasta 4 S1 6,500,000

18 P 49 IRT 4 D3 10,000,000

19 L 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 51 Wiraswasta 3 S1 7,500,000

23 P 32 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 44 Wiraswasta 4 SMA 6,000,000

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

30 P 30 Wiraswasta 3 SMA 2,500,000

31 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

34 P 40 PNS 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 3 S1 3,000,000

38 P 30 Pegawai Swasta 3 S1 4,000,000

39 P 46 IRT 5 SMA 2,500,000

40 P 30 PNS 3 S1 5,000,000

41 P 32 PNS 3 S1 5,000,000

42 P 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 40 IRT 4 SMA 4,500,000

46 P 45 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 40 IRT 5 SMA 2,000,000

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

53 P 42 IRT 4 SMA 2,500,000

54 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

57 P 40 Wiraswasta 3 SMA 5,000,000

58 P 46 IRT 6 D3 4,500,000

59 P 40 IRT 4 S1 7,000,000

(3)

Lampiran 3. Faktor-faktor Yang Mempengaruhi Keputusan Konsumen

Sampel Pembelian Pendapatan Pendidikan

Keluarga (orang tua)

Keluarga (balita)

Rasio

harga Persepsi

Gaya Hidup

1 1 6,000,000 17 1 0 1.5 8 1

2 1 5,000,000 15 0 0 1.25 8 1

3 1 6,000,000 17 0 0 1.25 8 1

4 1 4,000,000 15 0 0 1.28 8 1

5 1 8,000,000 19 1 1 1.25 8 1

6 1 4,500,000 15 0 0 1.25 7 1

7 1 7,500,000 19 0 0 1.25 8 0

8 1 12,000,000 23 1 0 1.25 5 1

9 1 10,000,000 17 0 0 1.25 8 0

10 1 15,000,000 17 0 0 1.25 7 1

11 1 5,000,000 17 0 0 2.1 8 1

12 1 3,000,000 15 0 1 1.25 7 1

13 1 7,000,000 17 1 0 2.1 8 1

14 1 3,500,000 15 0 0 1.28 8 0

15 1 6,000,000 17 0 1 1.3 8 1

16 1 4,500,000 17 0 1 2.1 8 1

17 1 6,500,000 17 0 1 1.9 7 1

18 1 10,000,000 15 1 0 2.5 6 1

19 1 7,500,000 19 1 0 2.1 7 0

20 1 10,000,000 19 1 0 1.9 8 1

21 1 12,000,000 23 1 0 2.5 6 1

22 1 7,500,000 17 0 0 2.1 8 1

23 1 3,000,000 17 0 1 1.28 7 1

24 1 10,000,000 17 1 0 1.25 7 0

25 1 4,000,000 12 1 1 1.25 7 1

26 1 6,000,000 12 0 0 1.25 6 1

27 1 4,000,000 15 0 0 1.25 8 1

28 1 15,000,000 15 0 1 1.25 4 1

29 1 15,000,000 15 1 1 1.25 4 1

30 1 2,500,000 12 0 1 2.1 8 1

31 1 3,000,000 12 1 0 1.9 6 1

32 1 6,000,000 17 1 0 1.25 7 1

33 1 7,000,000 19 1 1 1.25 8 1

34 1 7,500,000 19 0 1 1.25 6 1

35 1 3,000,000 12 0 0 2.1 7 1

36 1 2,500,000 15 1 0 1.25 7 1

37 1 3,000,000 17 1 0 1.25 6 1

(4)

Sambungan Lampiran 3.

39 1 2,500,000 12 1 0 1.9 6 1

40 1 5,000,000 17 0 1 2.1 8 1

41 0 5,000,000 17 0 1 1.25 8 0

42 0 2,500,000 12 0 0 1.39 4 0

43 0 2,500,000 12 0 0 1.39 3 1

44 0 3,000,000 12 0 0 1.39 3 1

45 0 4,500,000 12 0 0 1.39 6 1

46 0 6,000,000 17 0 0 1.25 6 1

47 0 2,000,000 12 0 0 1.25 3 0

48 0 8,000,000 17 0 1 1.39 7 1

49 0 2,000,000 12 0 0 1.25 6 1

50 0 3,000,000 15 0 1 1.39 4 0

51 0 3,800,000 12 0 0 1.25 5 1

52 0 5,000,000 17 0 0 1.25 4 1

53 0 2,500,000 12 0 0 1.39 5 0

54 0 3,000,000 12 0 0 1.39 4 1

55 0 2,500,000 15 0 1 1.39 4 0

56 0 3,500,000 12 0 0 1.39 4 1

57 0 5,000,000 12 0 0 1.25 5 0

58 0 4,500,000 15 1 0 1.25 6 1

59 0 7,000,000 17 0 1 1.25 6 1

60 0 3,000,000 12 1 1 1.39 6 1

(5)

Lampiran 4. Persepsi Konsumen

Sampel lebih ramah harga lebih lebih lebih lebih lokasi menyukai sehat Lingkungan mahal pulen wangi putih terbatas rasa

1 1 1 1 1 1 1 1 1

2 1 1 1 1 1 1 1 1

3 1 1 1 1 1 1 1 1

4 1 1 1 1 1 1 1 1

5 1 1 1 1 1 1 1 1

6 1 1 1 1 1 0 1 1

7 1 1 1 1 1 1 1 1

8 1 1 1 1 0 0 1 0

9 1 1 1 1 1 1 1 1

10 1 1 1 1 1 1 1 0

11 1 1 1 1 1 1 1 1

12 1 1 1 1 1 0 1 1

13 1 1 1 1 1 1 1 1

14 1 1 1 1 1 1 1 1

15 1 1 1 1 1 1 1 1

16 1 1 1 1 1 1 1 1

17 1 1 1 1 0 1 1 1

18 1 1 1 1 0 0 1 1

19 1 1 1 1 1 0 1 1

20 1 1 1 1 1 1 1 1

21 1 1 1 1 0 0 1 1

22 1 1 1 1 1 1 1 1

23 1 1 1 1 0 1 1 1

24 1 1 1 1 1 0 1 1

25 1 1 1 1 1 0 1 1

26 1 1 1 1 0 0 1 1

27 1 1 1 1 1 1 1 1

28 1 1 1 0 0 0 1 0

29 1 1 1 0 0 0 1 0

30 1 1 1 1 1 1 1 1

31 1 1 1 1 0 0 1 1

32 1 1 1 1 0 1 1 1

33 1 1 1 1 1 1 1 1

34 1 1 1 1 0 0 1 1

35 1 1 1 1 1 1 1 0

36 1 1 1 1 0 1 1 1

37 1 1 1 1 0 0 1 1

38 1 1 1 1 1 1 1 1

39 1 1 1 1 1 0 1 0

40 1 1 1 1 1 1 1 1

41 1 1 1 1 1 1 1 1

42 1 1 1 0 0 0 1 0

43 1 0 1 0 0 0 1 0

44 1 0 1 0 0 0 1 0

45 1 1 1 1 0 0 1 1

46 1 1 1 1 0 0 1 1

47 1 0 1 0 0 0 1 0

48 1 1 1 1 1 1 1 0

49 1 1 1 1 0 0 1 1

50 1 1 1 0 0 0 1 0

51 1 1 1 1 0 0 1 0

52 1 0 1 1 0 0 1 0

53 1 1 1 1 0 0 1 0

54 1 1 1 0 0 0 1 0

55 1 1 1 0 0 0 1 0

56 1 1 1 0 0 0 1 0

57 1 1 1 1 0 0 1 0

58 1 1 1 1 1 0 1 0

59 1 1 1 1 0 0 1 1

60 1 1 1 1 0 0 1 1

(6)

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 1 1 1 1 1 1 1 1 9 1

2 1 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 0 1 1 1 8 1

5 1 1 0 1 1 1 1 1 1 8 1

6 1 1 1 1 1 0 1 1 1 8 1

7 1 0 0 1 1 0 1 1 1 6 0

8 1 1 1 1 1 1 1 1 1 9 1

9 1 0 0 1 1 0 1 1 1 6 0

10 1 1 1 1 1 1 1 1 1 9 1

11 1 1 1 1 1 1 1 1 1 9 1

12 1 1 1 1 1 0 1 1 1 8 1

13 1 1 1 1 1 1 1 1 1 9 1

14 1 0 0 1 1 0 1 1 1 6 0

15 1 1 1 1 1 0 1 1 1 8 1

16 1 1 1 1 1 1 1 1 1 9 1

17 1 1 0 1 1 1 1 1 1 8 1

18 1 1 1 1 1 1 1 1 1 9 1

19 1 0 0 0 1 0 1 1 1 5 0

20 1 1 1 1 1 1 1 1 1 9 1

21 1 1 1 1 1 1 1 1 1 9 1

22 1 1 1 1 1 1 1 1 1 9 1

23 1 1 1 1 1 0 1 1 1 8 1

24 1 0 0 0 1 1 1 0 1 5 0

25 1 1 1 1 1 0 1 1 1 8 1

26 1 1 1 1 1 1 1 1 1 9 1

27 1 1 1 1 1 1 1 1 1 9 1

28 1 1 1 1 1 1 1 1 1 9 1

29 1 1 1 1 1 0 1 1 1 8 1

30 1 1 0 1 1 1 1 1 1 8 1

31 1 1 1 1 1 0 1 1 1 8 1

32 1 1 1 1 1 1 1 1 1 9 1

33 1 1 1 1 1 1 1 1 1 9 1

34 1 1 1 1 1 1 1 1 1 9 1

35 1 1 1 1 1 0 1 1 1 8 1

36 1 1 0 1 1 1 1 1 1 8 1

37 1 1 1 1 1 0 1 1 1 8 1

38 1 1 1 1 1 1 1 1 1 9 1

39 1 1 1 1 1 1 1 1 1 9 1

40 1 1 1 1 1 1 1 1 1 9 1

41 1 0 0 0 1 0 1 1 1 5 0

42 1 0 0 0 1 1 1 1 1 6 0

43 1 1 1 1 1 0 1 1 1 8 1

44 0 1 1 1 1 1 1 1 1 8 1

45 0 1 1 1 1 1 1 1 1 8 1

46 0 1 1 1 1 1 1 1 1 8 1

47 0 0 0 1 1 0 1 1 1 5 0

48 0 1 0 1 1 1 1 1 1 7 1

49 0 1 1 1 1 0 1 1 1 7 1

50 0 0 0 1 1 0 1 1 1 5 0

51 0 1 1 1 1 1 1 1 1 8 1

52 0 1 1 1 1 1 1 1 1 8 1

53 0 0 0 1 1 1 1 1 1 6 0

54 0 1 1 1 1 1 1 1 1 8 1

55 0 0 0 1 1 0 1 1 1 5 0

56 0 1 1 1 1 1 1 1 1 8 1

57 0 0 0 0 1 0 1 1 1 4 0

58 0 1 1 1 1 0 1 1 1 7 1

59 0 1 1 1 1 1 1 1 1 8 1

(7)

Lampiran 6. Output Logistic Regression

Logistic Regression

Case Processing Summary

Unweighted Cases

a

N

Percent

Selected Cases

Included in Analysis

60

100.0

Missing Cases

0

.0

Total

60

100.0

Unselected Cases

0

.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

0

1.00

1

Categorical Variables Codings

Frequency

Parameter

coding

(1)

Gaya Hidup

.00

12

.000

1.00

48

1.000

Keluarga(balita)

.00

40

.000

1.00

20

1.000

Keluarga(Orangtua)

.00

41

.000

1.00

19

1.000

Block 0: Beginning Block

Iteration History

a,b,c

Iteration

-2 Log

likelihood

Coefficients

Constant

Step 0

1

76.391

.667

2

76.382

.693

3

76.382

.693

a. Constant is included in the model.

(8)

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

0

20

.0

1.00

0

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

(9)

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

(10)

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.

Hosmer and Lemeshow Test

Step

Chi-square

df

Sig.

1

3.516

8

.898

Contingency Table for Hosmer and Lemeshow Test

Keputusan Membeli = .00

Keputusan Membeli = 1.00

Total

Observed

Expected

Observed

Expected

Step 1

1

6

5.998

0

.002

6

2

6

5.931

0

.069

6

3

4

3.601

2

2.399

6

4

1

2.567

5

3.433

6

5

2

1.231

4

4.769

6

6

1

.430

5

5.570

6

7

0

.146

6

5.854

6

8

0

.079

6

5.921

6

9

0

.015

6

5.985

6

(11)

Classification Table

a

Observed

Predicted

Keputusan Membeli

Percentage

Correct

.00

1.00

Step 1

Keputusan Membeli

.00

15

5

75.0

1.00

2

38

95.0

Overall Percentage

88.3

a. The cut value is .500

Variables in the Equation

B

S.E.

Wald

df

Sig.

Exp(B)

95% C.I.for EXP(B)

Lower

Upper

Step 1

a

Pendapatan

.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.

Correlation Matrix

Constant

X1

X2

D1(1)

D2(1)

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

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