LAMPIRAN
Lampiran 1: Karakteristik Sampel
NO
Umur
(Tahun)
Pendidikan
(Tahun)
Lama
Berusaha
Tani
(Tahun)
Luas
Lahan
(Ha)
Jumlah
Tanggu
ngan
(Jiwa)
Tingkat
Pendapatan
(Rp)
T
1
40
16
15
1
4
40.490.400
52,4
2
31
12
5
0,32
2
12.930.800
48,9
3
35
9
7
0,5
2
21.313.800
50,9
4
32
12
4
0,3
1
8.784.100
48,9
5
39
12
6
0,7
2
25.638.800
51,9
6
40
12
13
0,6
2
17.352.400
50,6
7
29
6
2
0,3
1
4.062.400
48,7
8
54
9
15
0,7
2
17.217.000
51,7
9
50
9
14
0,42
2
17.718.400
50,8
10
48
12
16
0,8
3
30.744.600
51,9
11
50
9
14
0,4
1
9.438.500
51,1
12
47
12
17
0,65
2
25.326.800
51,9
13
56
9
22
0,6
2
25.766.400
51,4
14
56
9
14
0,3
1
8.052.400
50,8
15
53
12
21
0,8
2
29.415.000
52,4
16
47
12
18
0,45
2
17.179.800
51,4
17
30
9
3
0,3
1
5.561.700
48,6
18
32
12
4
0,25
0
422.400
48,3
19
53
9
16
0,5
1
15.093.500
50,9
20
54
12
17
0,7
2
27.337.500
51,7
21
53
9
17
0,65
3
24.763.800
50,8
22
51
6
20
0,8
4
30.799.600
49,8
23
51
12
16
0,5
3
18.146.700
51,4
24
40
12
10
0,3
3
1.478.100
48,3
25
46
9
15
0,4
3
16.268.000
51,4
26
40
9
10
0,35
1
5.602.400
49,3
27
48
12
16
0,8
3
31.797.000
52,4
28
55
12
21
0,75
2
23.380.500
51,3
29
57
6
22
0,9
3
38.993.000
49,9
30
49
12
20
0,4
3
14.564.700
50,8
JUM
LAH
1366
313
410
16,44
63
565.640.500
1502,2
Rata-rata
45,53
10,4
13,6
0,548
2,1
18854683,33
50,07
Lampiran 2: Total Skor Positif dan Negatif
NO
SKOR POSITIF
SKOR
NEGATIF TOTAL(Xi) Xi² Xi-X S Xi-X/S
10(Xi-X/S T Interpretasi
8 17,405 16,609 34,014 1.156,929 9,667 56,3377 0,171584 1,715843 51,71584 POSITIF 9 14,288 15,056 29,344 861,061 4,997 56,3377 0,088694 0,886944 50,88694 POSITIF 10 17,405 18,204 35,609 1.268,032 11,262 56,3377 0,199909 1,999094 51,99909 POSITIF 11 14,531 15,525 30,056 903,351 5,709 56,3377 0,101332 1,013317 51,01332 POSITIF 12 17,405 18,204 35,609 1.268,032 11,262 56,3377 0,199909 1,999094 51,99909 POSITIF 13 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 14 12,518 16,583 29,101 846,874 4,754 56,3377 0,084386 0,843857 50,84386 POSITIF 15 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 52,46103 POSITIF 16 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 17 7,836 8,730 16,567 274,463 -7,780 56,3377 -0,1381 -1,38097 48,61903 NEGATIF 18 7,000 7,836 14,836 220,120 -9,511 56,3377 -0,16881 -1,68813 48,31187 NEGATIF 19 14,627 15,321 29,948 896,909 5,601 56,3377 0,099426 0,994261 50,99426 POSITIF 20 15,795 18,204 34,000 1.155,978 9,653 56,3377 0,171336 1,71336 51,71336 POSITIF 21 14,288 15,056 29,344 861,061 4,997 56,3377 0,088694 0,886944 50,88694 POSITIF 22 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 49,86103 NEGATIF 23 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 24 7,000 8,021 15,021 225,628 -9,326 56,3377 -0,16554 -1,65539 48,34461 NEGATIF 25 15,795 16,607 32,402 1.049,914 8,055 56,3377 0,142984 1,429838 51,42984 POSITIF 26 9,057 11,759 20,816 433,295 -3,531 56,3377 -0,06268 -0,6268 49,3732 NEGATIF 27 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 52,46103 POSITIF 28 15,468 16,344 31,812 1.011,989 7,465 56,3377 0,1325 1,325005 51,325 POSITIF 29 18,675 19,537 38,212 1.460,149 13,865 56,3377 0,246103 2,461032 49,9657 NEGATIF 30 14,198 15,011 29,209 853,184 4,862 56,3377 0,086307 0,863066 50,86307 POSITIF
total 832 837 883,754 27.667,834
X 29,458
Xi² 781.021,2
S2 = n∑Xi2−(∑Xi)2
n(n−1) Keterangan : T = skor standar, S=deviasi standar X=skor tingkat adopsi responden
X = rata-rata skor tingkat adopsi T ≥ 50 = positif T < 50 = negatif
T = 50 + 10�X−X S �
Lampiran 2 lanjutan:Jawaban Responden Terhadap Peryataan Tingkat Adopsi
NO POSITIF NEGATIF
1 2 3 4 5 6 7 1 2 3 4 5 6 7
1 SS S S S SS S SS STS TS TS TS STS TS STS
2 S S RR TS S TS S RR TS RR S TS TS TS
3 SS S S RR S RR SS STS TS TS RR TS RR STS
4 S S RR RR S TS S TS TS RR RR TS S TS
5 SS S S S SS RR SS STS TS TS TS STS RR STS
6 SS S S RR S S S STS TS TS RR TS RR TS
7 S S TS TS S TS S TS TS S S TS TS TS
8 SS S S S SS RR SS STS TS TS TS TS RR STS
9 SS S S RR S S S STS TS TS RR TS TS TS
10 SS S S S SS RR SS STS TS TS TS STS RR STS
11 SS S RR RR S S SS TS TS RR RR STS TS STS
12 SS S S S SS RR SS STS TS TS TS STS RR STS
13 SS S S S SS RR S STS TS TS TS STS RR TS
14 S S S S S RR S STS TS RR TS TS TS STS
15 SS S S S SS S SS STS TS TS TS STS TS STS
16 SS S S S SS RR S STS TS TS TS STS RR TS
17 S S RR TS S TS S TS TS RR S TS S TS
18 S S TS TS S TS S TS TS S S TS S TS
19 SS S S RR S RR SS STS TS TS RR TS RR STS
20 SS S S S SS RR S STS TS TS TS STS RR STS
21 SS S S RR S S S STS TS TS RR TS TS TS
22 SS S S S SS S SS STS TS TS TS STS TS STS
23 SS S S S SS RR S STS TS TS TS STS RR TS
24 S S TS TS S TS S RR TS S RR TS S TS
25 SS S S S SS RR S STS TS TS TS STS RR TS
26 S S RR TS S RR S RR TS RR RR STS RR TS
27 SS S S S SS S SS STS TS TS TS STS TS STS
28 SS S S S S S S STS TS TS TS TS TS TS
29 SS S S S SS S SS STS TS TS TS STS TS STS
pernyataan positif pernyataan negatf
1 2 3 4 5 6 7 1 2 3 4 5 6 7
5 4 4 4 5 4 5 5 4 4 4 5 4 5
4 4 3 2 4 2 4 3 4 3 2 4 4 4
5 4 4 3 4 3 5 5 4 4 3 4 3 5
4 4 3 3 4 2 4 4 4 3 3 4 2 4
5 4 4 4 5 3 5 5 4 4 4 5 3 5
5 4 4 3 4 4 4 5 4 4 3 4 3 4
4 4 2 2 4 2 4 4 4 2 2 4 4 4
5 4 4 4 5 3 5 5 4 4 4 4 3 5
5 4 4 3 4 4 4 5 4 4 3 4 4 4
5 4 4 4 5 3 5 5 4 4 4 5 3 5
5 4 3 3 4 4 5 4 4 3 3 5 4 5
5 4 4 4 5 3 5 5 4 4 4 5 3 5
5 4 4 4 5 3 4 5 4 4 4 5 3 4
4 4 4 4 4 3 4 5 4 3 4 4 4 5
5 4 4 4 5 4 5 5 4 4 4 5 4 5
5 4 4 4 5 3 4 5 4 4 4 5 3 4
4 4 3 2 4 2 4 4 4 3 2 4 2 4
4 4 2 2 4 2 4 4 4 2 2 4 2 4
5 4 4 3 4 3 5 5 4 4 3 4 3 5
5 4 4 4 5 3 4 5 4 4 4 5 3 5
5 4 4 3 4 4 4 5 4 4 3 4 4 4
5 4 4 4 5 4 5 5 4 4 4 5 4 5
5 4 4 4 5 3 4 5 4 4 4 5 3 4
4 4 2 2 4 2 4 3 4 2 3 4 2 4
5 4 4 4 5 3 4 5 4 4 4 5 3 4
4 4 3 2 4 3 4 3 4 3 3 5 3 4
5 4 4 4 5 4 5 5 4 4 4 5 4 5
5 4 4 4 4 4 4 5 4 4 4 4 4 4
5 4 4 4 5 4 5 5 4 4 4 5 4 5
5 4 4 4 4 3 4 5 4 4 4 4 3 4
Lampiran 3: Analisis Usahatani Kentang
a:Biaya bibit
Jumlah
Harga/Kg
Total
1000
9000
9000000
880
9000
7920000
500
9000
4500000
810
9000
7290000
300
9000
2700000
750
9000
6750000
250
9000
2250000
580
9000
5220000
630
9000
5670000
700
9000
6300000
350
9000
3150000
750
9000
6750000
850
9000
7650000
310
9000
2790000
400
9000
3600000
800
9000
7200000
500
9000
4500000
250
9000
2250000
600
9000
5400000
780
9000
7020000
700
9000
6300000
600
9000
5400000
450
9000
4050000
350
9000
3150000
400
9000
3600000
300
9000
2700000
600
9000
5400000
350
9000
3150000
450
9000
4050000
600
9000
5400000
N o
luas lahan
BIAYA PUPUK
organik urea harga Jumlah dolo mit
har
ga jumlah TSP harga Jumlah KC
L Harga jumlah amo
pos harga jumlah
paten
kali butir Harga Jumlah 1 1 10000 250 3800 950000 1000 400 400000 200 2400 480000 100 2600 260000 300 8000 2400000 140 1240 173600
2 0,32 3200 100 3800 380000 320 400 128000 60 2400 144000 32 2600 83200 100 8000 800000 50 1240 62000
3 0,5 5000 150 3800 570000 500 400 200000 100 2400 240000 50 2600 130000 150 8000 1200000 70 1240 86800
4 0,8 8000 200 3800 760000 800 400 320000 160 2400 384000 80 2600 208000 225 8000 1800000 110 1240 136400
5 0,3 3000 100 3800 380000 300 400 120000 60 2400 144000 30 2600 78000 90 8000 720000 40 1240 49600
6 0,75 7000 150 3800 570000 750 400 300000 150 2400 360000 75 2600 195000 225 8000 1800000 100 1240 124000
7 0,3 3000 100 3800 380000 300 400 120000 60 2400 144000 30 2600 78000 90 8000 720000 40 1240 49600
8 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 180 8000 1440000 80 1240 99200
9 0,65 6500 100 3800 380000 650 400 260000 130 2400 312000 65 2600 169000 200 8000 1600000 100 1240 124000
10 0,7 7000 150 3800 570000 700 400 280000 140 2400 336000 70 2600 182000 200 8000 1600000 100 1240 124000
11 0,35 3500 100 3800 380000 350 400 140000 70 2400 168000 35 2600 91000 100 8000 800000 50 1240 62000
12 0,75 7500 200 3800 760000 750 400 300000 150 2400 360000 75 2600 195000 225 8000 1800000 100 1240 124000
13 0,9 9000 200 3800 760000 900 400 360000 180 2400 432000 90 2600 234000 270 8000 2160000 125 1240 155000
14 0,3 3000 100 3800 380000 300 400 120000 60 2400 144000 30 2600 78000 90 8000 720000 40 1240 49600
15 0,4 4000 100 3800 380000 400 400 160000 80 2400 192000 40 2600 104000 125 8000 1000000 55 1240 68200
16 0,8 8000 200 3800 760000 800 400 320000 160 2400 384000 80 2600 208000 250 8000 2000000 110 1240 136400
17 0,5 5000 150 3800 570000 500 400 200000 100 2400 240000 50 2600 130000 150 8000 1200000 70 1240 86800
18 0,25 2500 100 3800 380000 250 400 100000 50 2400 120000 25 2600 65000 75 8000 600000 35 1240 43400
19 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 175 8000 1400000 80 1240 99200
20 0,8 8000 200 3800 760000 800 400 320000 160 2400 384000 80 2600 208000 250 8000 2000000 110 1240 136400
21 0,7 7000 200 3800 760000 700 400 280000 140 2400 336000 70 2600 182000 200 8000 1600000 100 1240 124000
22 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 175 8000 1400000 80 1240 99200
23 0,5 4800 150 3800 570000 500 200000 100 2400 240000 50 2600 130000 150 8000 1200000 70 1240 86800
24 0,36 3600 100 3800 380000 360 400 144000 70 2400 168000 36 2600 93600 100 8000 800000 50 1240 62000
25 0,4 4000 100 3800 380000 400 400 160000 80 2400 192000 40 2600 104000 120 8000 960000 50 1240 62000
26 0,3 3000 100 3800 380000 300 400 120000 60 2400 144000 30 2600 78000 100 8000 800000 40 1240 49600
27 0,6 6000 150 3800 570000 600 400 240000 120 2400 288000 60 2600 156000 180 8000 1440000 80 1240 99200
Biaya Alat
No. Sampel Cangkul Garpu Sprayer Goni
Jumlah harga Umur penyusutan jumlah harga umur penyusutan Jumlah Harga umur Penyusutan Jumlah harga Umur penyusutan Jumlah
1 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 130 3000 2 195000 299000
2 2 50000 5 20000 2 50000 5 20000 1 320000 5 64000 240 3000 2 360000 464000
3 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 130 3000 2 195000 289000
4 2 50000 5 20000 2 50000 5 20000 1 320000 5 64000 212 3000 2 318000 422000
5 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 224000
6 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 200 3000 2 300000 414000
7 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 214000
8 5 50000 5 50000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 364000
9 5 50000 5 50000 1 50000 5 10000 1 320000 5 64000 172 3000 2 258000 382000
10 3 50000 5 30000 2 50000 5 20000 1 320000 5 64000 186 3000 2 279000 393000
11 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 92 3000 2 138000 242000
12 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 200 3000 2 300000 394000
13 4 50000 5 40000 2 50000 5 20000 1 320000 5 64000 240 3000 2 360000 484000
14 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 234000
15 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 106 3000 2 159000 273000
16 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 200 3000 2 300000 414000
17 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 130 3000 2 195000 299000
18 2 50000 5 20000 1 50000 5 10000 1 320000 5 64000 66 3000 2 99000 193000
19 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 344000
20 3 50000 5 30000 2 50000 5 20000 1 320000 5 64000 200 3000 2 300000 414000
21 4 50000 5 40000 2 50000 5 20000 1 320000 5 64000 180 3000 2 270000 394000
22 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 344000
23 3 50000 5 30000 3 50000 5 30000 1 320000 5 64000 260 3000 2 390000 514000
24 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 96 3000 2 144000 248000
25 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 106 3000 2 159000 263000
26 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 80 3000 2 120000 224000
27 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 160 3000 2 240000 354000
28 4 50000 5 40000 1 50000 5 10000 1 320000 5 64000 84 3000 2 126000 240000
29 3 50000 5 30000 1 50000 5 10000 1 320000 5 64000 112 3000 2 168000 272000
30 3 50000 5 30000 2 50000 5 20000 1 320000 5 64000 164 3000 2 246000 360000
Biaya Tenaga Kerja
NO
PENGOLAHAN PENANAMAN PEMUPUKAN PEMELIHARAAN PENGENDALIAN HPT PANEN
sambungan
1 7550000 9000000 4663600 2782000 514000 24509600 13000 5000 65000000 40490400
2 5825000 7920000 4331000 2366500 464000 20906500 9000 4000 36000000 12930800
3 4025000 4500000 2426800 1194500 289000 12435300 6000 4500 27000000 21313800
4 5825000 7290000 3608400 2070500 422000 19215900 7000 4000 28000000 8784100
5 2600000 2700000 1491600 632000 224000 7647600 5000 5000 25000000 25638800
6 5325000 6750000 3349000 1945000 414000 17783000 7000 5000 35000000 17352400
7 2600000 2250000 1491600 632000 214000 7187600 2500 4500 11250000 4062400
8 4800000 5220000 2793200 1496000 364000 14673200 8000 5000 40000000 17217000
9 4850000 5670000 2845000 1572500 382000 15319500 8600 4500 38700000 17718400
10 5425000 6300000 3092000 1875000 393000 17085000 9300 5000 46500000 30744600
11 2750000 3150000 1641000 778500 242000 8561500 4000 4500 18000000 9438500
12 5575000 6750000 3539000 1945000 394000 18203000 10000 5000 50000000 25326800
13 6325000 7650000 4101000 2447000 484000 21007000 12000 5000 60000000 25766400
14 2550000 2790000 1491600 632000 234000 7697600 3500 4500 15750000 8052400
15 2600000 3600000 1904200 943000 273000 9320200 5300 5000 26500000 29415000
16 5725000 7200000 3808400 2108000 414000 19255400 10000 5000 50000000 17179800
17 3975000 4500000 2426800 1237500 299000 12438300 4500 4000 18000000 5561700
18 2250000 2250000 1308400 520500 193000 6521900 2000 4000 8000000 422400
19 4650000 5400000 2753200 1539000 344000 14686200 8000 4500 36000000 15093500
20 5850000 7020000 3808400 2108000 414000 19200400 10000 5000 50000000 27337500
21 5775000 6300000 3282000 1911500 394000 17662500 9000 5000 45000000 24763800
22 5200000 5400000 2753200 1539000 344000 15236200 8000 5000 40000000 30799600
23 7550000 9000000 4663600 2782000 514000 24509600 13000 5000 65000000 18146700
24 2650000 3150000 1647600 702000 248000 8397600 3500 4000 14000000 1478100
25 3575000 3600000 1858000 936000 263000 10232000 5300 5000 26500000 16268000
26 2450000 2700000 1571600 632000 224000 7577600 2000 4000 8000000 5602400
27 4200000 5400000 2793200 1614000 354000 14361200 8000 5000 40000000 31797000
28 2450000 3150000 1597200 632000 240000 8069200 4200 5000 21000000 23380500
29 3100000 4050000 1923600 936000 272000 10281600 5600 5000 28000000 38993000
30 5150000 5400000 2784600 1539000 360000 15233600 8200 5000 41000000 14564700
Lampiran 4: Analisis Regresi Faktor Sosial Ekonomi Petani yang
Mempengaruhi Tingkat Adopsi petani terhadap Teknologi Anjuran
LOGISTIC REGRESSION VARIABLES Y /METHOD=ENTER X1 X2 X3 X4 X5 X6 /CLASSPLOT
/PRINT=GOODFIT CORR ITER(1)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] D:\sikripsi bab1 - lampiran\TERBARU DATA TANGGAL 29 MARET.sav
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 30 96.8
Missing Cases 1 3.2
Total 31 100.0
Unselected Cases 0 .0
Total 31 100.0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable
Encoding
Original
Value Internal Value
0 0
1 1
Block 0: Beginning Block
Iteration Historya,b,c
Iteration -2 Log likelihood
Coefficients
Constant
Step 0 1 38.196 .667
2 38.191 .693
3 38.191 .693
a. Constant is included in the model.
b. Initial -2 Log Likelihood: 38,191
c. Estimation terminated at iteration number 3 because
parameter estimates changed by less than ,001.
Classification Tablea,b
Observed
Predicted
SKOR TINGKAT ADOPSI
Percentage
Correct
0 1
Step 0 SKOR
TINGKAT
ADOPSI
0 0 10 .0
1
0 20 100.0
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 .387 3.203 1 .074 2.000
Variables not in the Equationa
Score df Sig.
Step 0 Variables X1 10.768 1 .001
X2 2.092 1 .148
X3 8.182 1 .004
X4 3.875 1 .049
X5 1.517 1 .218
X6 5.048 1 .025
a. Residual Chi-Squares are not computed because of redundancies.
Iteration Historya,b,c,d
Iteration -2 Log likelihood
Coefficients
Constant X1 X2 X3 X4 X5 X6
Step 1 1 19.912 -11.721 .254 .366 -.194 -3.397 -.277 .000
2 15.950 -20.669 .448 .665 -.353 -6.550 -.361 .000
3 14.958 -27.707 .605 .908 -.487 -9.752 -.407 .000
4 14.827 -31.248 .684 1.039 -.552 -11.663 -.463 .000
5 14.823 -31.977 .700 1.068 -.564 -12.097 -.481 .000
6 14.823 -32.004 .701 1.069 -.564 -12.115 -.482 .000
7 14.823 -32.004 .701 1.069 -.564 -12.115 -.482 .000
a. Method: Enter
b. Constant is included in the model.
c. Initial -2 Log Likelihood: 38,191
d. Estimation terminated at iteration number 7 because parameter estimates changed by less than ,001.
Omnibus Tests of Model Coefficients
Chi-square Df Sig.
Step 1 Step 23.367 6 .001
Block 23.367 6 .001
Model 23.367 6 .001
Model Summary
Step -2 Log likelihood
Cox & Snell R
Square
Nagelkerke R
Square
1 14.823a .541 .752
a. Estimation terminated at iteration number 7 because parameter
estimates changed by less than ,001.
Hosmer and Lemeshow Test
Step Chi-square df Sig.
1 5.531 8 .700
Contingency Table for Hosmer and Lemeshow Test
SKOR TINGKAT ADOPSI = ,00 SKOR TINGKAT ADOPSI = 1,00
Total Observed Expected Observed Expected
Step 1 1 3 2.982 0 .018 3
2 2 2.769 1 .231 3
3 3 2.140 0 .860 3
4 2 1.304 1 1.696 3
5 0 .401 3 2.599 3
6 0 .186 3 2.814 3
7 0 .107 3 2.893 3
8 0 .062 3 2.938 3
9 0 .044 3 2.956 3
10 0 .006 3 2.994 3
Classification Tablea
Observed
Predicted
SKOR TINGKAT ADOPSI
Percentage
Correct
0 1
Step 1 SKOR TINGKAT ADOPSI 0 9 1 90.0
1 2 18 90.0
Overall Percentage 90.0
Variables in the Equation
B S.E. Wald Df Sig. Exp(B)
Step 1a X1 .701 .354 3.916 1 .048 2.015
X2 1.069 .528 4.104 1 .043 2.912
X3 -.564 .470 1.440 1 .230 .569
X4 -12.115 9.209 1.731 1 .188 .000
X5 -.482 1.015 .226 1 .635 .617
X6 .000 .000 2.724 1 .099 1.000
Constant -32.004 14.202 5.078 1 .024 .000
a. Variable(s) entered on step 1: X1, X2, X3, X4, X5, X6.
Correlation Matrix
Constant X1 X2 X3 X4 X5 X6
Step 1 Constant 1.000 -.937 -.843 .767 .465 -.079 -.532
X1 -.937 1.000 .642 -.892 -.424 .085 .480
X2 -.843 .642 1.000 -.389 -.596 -.155 .634
X3 .767 -.892 -.389 1.000 .087 -.282 -.247
X4 .465 -.424 -.596 .087 1.000 .307 -.861
X5 -.079 .085 -.155 -.282 .307 1.000 -.416
X6 -.532 .480 .634 -.247 -.861 -.416 1.000
