100
Lampiran 1 : Jawaban Reponden
N
o
X
1
.
1
X
1
.
2
X
1
.
3
X
2
.
1
X
2
.
2
X
2
.
3
X
3
.
1
X
3
.
2
X
3
.
3
X
4
.
1
X
4
.
2
X
4
.
3
X
5
.
1
X
5
.
2
X
5
.
3
X
6
.
1
X
6
.
2
X
6
.
3
Y
1
.
1
Y
1
.
2
Y
1
.
3
Y
1
.
4
X
1
X
2
X
3
X
4
X
5
X
6 Y
1
3.0
3.0
2.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
8.0
9.0
8.0
8.0
8.0
9.0
11.0
2
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
2.0
2.0
3.0
3.0
4.0
2.0
3.0
1.0
3.0
3.0
2.0
3.0
9.0
9.0
9.0
6.0
10.0
6.0
11.0
3
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
4.0
2.0
2.0
2.0
3.0
3.0
4.0
2.0
3.0
2.0
2.0
2.0
3.0
3.0
8.0
9.0
10.0
6.0
10.0
7.0
10.0
4
1.0
1.0
1.0
1.0
2.0
2.0
3.0
3.0
3.0
1.0
1.0
1.0
4.0
4.0
4.0
2.0
3.0
2.0
3.0
2.0
3.0
2.0
3.0
5.0
9.0
3.0
12.0
7.0
10.0
5
2.0
3.0
4.0
3.0
3.0
3.0
2.0
2.0
3.0
3.0
2.0
3.0
3.0
3.0
4.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
9.0
9.0
7.0
8.0
10.0
8.0
11.0
6
1.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
2.0
2.0
2.0
2.0
3.0
4.0
2.0
2.0
2.0
3.0
2.0
3.0
2.0
7.0
8.0
8.0
6.0
9.0
6.0
10.0
7
3.0
3.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
10.0
9.0
9.0
8.0
8.0
8.0
11.0
8
2.0
3.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
8.0
9.0
7.0
7.0
9.0
9.0
10.0
9
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
9.0
9.0
12.0
1 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 4 3 3 3 1 1 9 9 9 9 1
101
0 .0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
2.0
2.0
.0
.0
.0
.0
3.0
11
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
9.0
9.0
12.0
12
3.0
3.0
3.0
3.0
3.0
4.0
3.0
2.0
3.0
4.0
3.0
3.0
3.0
3.0
3.0
4.0
4.0
4.0
3.0
2.0
3.0
3.0
9.0
10.0
8.0
10.0
9.0
12.0
11.0
13
3.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
3.0
9.0
8.0
8.0
7.0
8.0
8.0
11.0
14
3.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
9.0
8.0
8.0
7.0
8.0
8.0
12.0
15
2.0
3.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
2.0
2.0
2.0
4.0
4.0
4.0
2.0
2.0
2.0
2.0
3.0
2.0
2.0
8.0
8.0
8.0
6.0
12.0
6.0
9.0
16
3.0
3.0
2.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
8.0
9.0
8.0
9.0
9.0
9.0
12.0
17
3.0
4.0
2.0
3.0
3.0
3.0
3.0
2.0
3.0
4.0
2.0
3.0
3.0
4.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
8.0
9.0
11.0
9.0
12.0
18
3.0
4.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
4.0
2.0
3.0
3.0
4.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
11.0
9.0
12.0
19
3.0
4.0
2.0
3.0
3.0
3.0
3.0
2.0
3.0
4.0
2.0
3.0
3.0
4.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
8.0
9.0
11.0
9.0
12.0
20
2.0
3.0
2.0
3.0
2.0
2.0
2.0
3.0
3.0
2.0
3.0
2.0
2.0
2.0
2.0
3.0
3.0
2.0
2.0
2.0
2.0
2.0
7.0
7.0
8.0
7.0
6.0
8.0
8.0
2 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 2 3 2 3 3 9 9 8 9 9 8 1
102
1 .0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
.0
1.0
22
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
9.0
9.0
12.0
23
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
9.0
9.0
12.0
24
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
9.0
9.0
12.0
25
3.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
2.0
2.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
3.0
3.0
3.0
9.0
8.0
8.0
7.0
9.0
7.0
12.0
26
3.0
4.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
4.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
11.0
9.0
9.0
9.0
11.0
9.0
12.0
27
2.0
4.0
3.0
4.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
4.0
3.0
3.0
2.0
3.0
2.0
3.0
4.0
9.0
10.0
8.0
9.0
10.0
8.0
12.0
28
2.0
3.0
3.0
3.0
4.0
3.0
2.0
2.0
3.0
3.0
3.0
2.0
2.0
3.0
4.0
3.0
2.0
3.0
2.0
3.0
2.0
2.0
8.0
10.0
7.0
8.0
9.0
8.0
9.0
29
2.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
2.0
2.0
2.0
3.0
3.0
8.0
9.0
8.0
8.0
8.0
8.0
10.0
30
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
9.0
9.0
8.0
9.0
9.0
8.0
12.0
31
2.0
4.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
2.0
3.0
4.0
3.0
3.0
2.0
2.0
2.0
2.0
3.0
3.0
9.0
9.0
8.0
8.0
10.0
7.0
10.0
103
32
2.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
4.0
3.0
4.0
3.0
3.0
2.0
2.0
3.0
3.0
2.0
8.0
8.0
8.0
8.0
11.0
8.0
10.0
33
4.0
3.0
3.0
4.0
4.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
2.0
3.0
3.0
10.0
11.0
8.0
9.0
9.0
7.0
11.0
34
3.0
4.0
3.0
3.0
3.0
3.0
4.0
2.0
4.0
3.0
3.0
3.0
4.0
4.0
4.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
10.0
9.0
10.0
9.0
12.0
8.0
12.0
35
2.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
2.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
8.0
9.0
8.0
7.0
9.0
8.0
11.0
36
2.0
4.0
2.0
3.0
3.0
3.0
3.0
2.0
4.0
3.0
3.0
3.0
3.0
3.0
4.0
3.0
3.0
2.0
2.0
2.0
2.0
2.0
8.0
9.0
9.0
9.0
10.0
8.0
8.0
37
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
9.0
9.0
9.0
9.0
12.0
38
4.0
4.0
4.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
12.0
9.0
8.0
9.0
8.0
8.0
11.0
39
2.0
3.0
2.0
2.0
3.0
2.0
2.0
3.0
3.0
2.0
2.0
2.0
3.0
3.0
3.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
7.0
7.0
8.0
6.0
9.0
6.0
8.0
40
3.0
4.0
3.0
2.0
3.0
2.0
2.0
2.0
3.0
2.0
2.0
2.0
2.0
3.0
3.0
2.0
2.0
3.0
2.0
2.0
3.0
2.0
10.0
7.0
7.0
6.0
8.0
7.0
9.0
41
3.0
3.0
2.0
2.0
3.0
2.0
2.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
3.0
8.0
7.0
8.0
8.0
8.0
8.0
11.0
42
3.0
3.0
2.0
2.0
3.0
3.0
2.0
3.0
3.0
2.0
2.0
2.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
3.0
3.0
8.0
8.0
8.0
6.0
9.0
7.0
12.0
104
43
2.0
3.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
2.0
2.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
8.0
9.0
7.0
6.0
9.0
8.0
11.0
44
2.0
3.0
3.0
2.0
2.0
2.0
2.0
2.0
3.0
2.0
2.0
2.0
3.0
3.0
3.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
8.0
6.0
7.0
6.0
9.0
6.0
8.0
45
3.0
4.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
3.0
4.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
10.0
9.0
8.0
8.0
10.0
8.0
11.0
46
3.0
4.0
3.0
3.0
4.0
4.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
4.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
10.0
11.0
8.0
9.0
10.0
9.0
10.0
47
2.0
3.0
3.0
2.0
3.0
2.0
2.0
2.0
3.0
2.0
2.0
2.0
3.0
3.0
3.0
3.0
2.0
2.0
2.0
2.0
3.0
3.0
8.0
7.0
7.0
6.0
9.0
7.0
10.0
48
2.0
3.0
3.0
3.0
3.0
2.0
2.0
2.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
2.0
2.0
8.0
8.0
7.0
8.0
9.0
9.0
9.0
49
3.0
4.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
3.0
2.0
2.0
4.0
4.0
4.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
10.0
8.0
8.0
7.0
12.0
9.0
12.0
50
2.0
3.0
3.0
4.0
4.0
3.0
4.0
3.0
4.0
2.0
2.0
1.0
3.0
3.0
4.0
3.0
4.0
3.0
3.0
2.0
1.0
4.0
8.0
11.0
11.0
5.0
10.0
10.0
10.0
51
2.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
8.0
9.0
8.0
8.0
8.0
9.0
11.0
52
3.0
3.0
3.0
2.0
3.0
3.0
3.0
2.0
3.0
2.0
1.0
1.0
2.0
3.0
4.0
2.0
3.0
2.0
2.0
2.0
3.0
2.0
9.0
8.0
8.0
4.0
9.0
7.0
9.0
53
3.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
3.0
4.0
2.0
2.0
2.0
3.0
3.0
3.0
2.0
9.0
7.0
8.0
8.0
10.0
6.0
11.0
54
3.
3.
3.
3.
3.
3.
2.
3.
3.
3.
3.
3.
3.
3.
3.
3.
3.
3.
3.
3.
3.
3.
9.
9.
8.
9.
9.
9.
12
105
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .0
55
2.0
3.0
3.0
3.0
3.0
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8.0
9.0
7.0
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56
2.0
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3.0
8.0
9.0
7.0
6.0
9.0
8.0
11.0
57
2.0
3.0
3.0
2.0
2.0
2.0
2.0
2.0
3.0
2.0
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2.0
3.0
3.0
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2.0
2.0
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8.0
6.0
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6.0
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6.0
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58
3.0
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3.0
3.0
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3.0
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10.0
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59
3.0
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3.0
3.0
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4.0
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2.0
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3.0
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3.0
3.0
3.0
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3.0
3.0
2.0
2.0
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10.0
11.0
8.0
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60
2.0
3.0
3.0
2.0
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2.0
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8.0
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6.0
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61
2.0
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62
3.0
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3.0
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3.0
3.0
3.0
10.0
8.0
8.0
7.0
12.0
9.0
12.0
63
2.0
3.0
3.0
4.0
4.0
3.0
4.0
3.0
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2.0
2.0
1.0
3.0
3.0
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2.0
1.0
4.0
8.0
11.0
11.0
5.0
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64
2.0
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8.0
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65
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9.0
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4.0
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7.0
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6 3 3 3 3 2 2 3 2 3 3 2 3 3 3 4 2 2 2 3 3 3 2 9 7 8 8 1 6 1
106
6 .0
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67
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9.0
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12.0
68
2.0
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3.0
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3.0
2.0
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8.0
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69
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3.0
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9.0
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70
3.0
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2.0
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10.0
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12.0
9.0
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11.0
71
3.0
3.0
3.0
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4.0
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3.0
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3.0
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9.0
7.0
11.0
10.0
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6.0
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72
3.0
3.0
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9.0
12.0
8.0
11.0
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73
3.0
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4.0
4.0
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4.0
2.0
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3.0
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9.0
12.0
8.0
10.0
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8.0
13.0
74
3.0
2.0
4.0
4.0
4.0
4.0
2.0
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3.0
3.0
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3.0
9.0
12.0
8.0
10.0
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75
3.0
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9.0
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76
4.0
3.0
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10.0
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8.0
12.0
12.0
8.0
13.0
7 3 4 4 3 3 3 3 2 3 3 3 2 4 4 4 2 3 2 3 2 3 3 1 9 8 8 1 7 1
107
7 .0
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78
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8.0
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8.0
6.0
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79
3.0
3.0
4.0
3.0
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2.0
3.0
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3.0
4.0
3.0
2.0
3.0
3.0
4.0
2.0
3.0
2.0
3.0
3.0
4.0
3.0
10.0
8.0
8.0
9.0
10.0
7.0
13.0
80
3.0
4.0
4.0
2.0
3.0
3.0
4.0
3.0
4.0
3.0
2.0
3.0
3.0
3.0
4.0
2.0
3.0
3.0
2.0
3.0
3.0
2.0
11.0
8.0
11.0
8.0
10.0
8.0
10.0
81
4.0
3.0
4.0
3.0
3.0
3.0
4.0
2.0
3.0
3.0
3.0
3.0
3.0
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2.0
3.0
3.0
3.0
3.0
11.0
9.0
9.0
9.0
9.0
8.0
12.0
82
3.0
3.0
3.0
3.0
3.0
3.0
4.0
2.0
3.0
3.0
3.0
3.0
4.0
4.0
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3.0
3.0
3.0
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3.0
9.0
9.0
9.0
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11.0
9.0
12.0
83
3.0
3.0
3.0
4.0
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3.0
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3.0
3.0
3.0
9.0
11.0
10.0
9.0
11.0
7.0
13.0
84
3.0
3.0
3.0
2.0
2.0
3.0
4.0
3.0
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3.0
4.0
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3.0
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9.0
7.0
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9.0
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7.0
12.0
85
3.0
3.0
3.0
3.0
3.0
3.0
4.0
3.0
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3.0
3.0
3.0
3.0
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3.0
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3.0
9.0
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86
3.0
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3.0
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87
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8.0
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11.0
8 3 3 4 4 3 4 2 2 3 3 3 3 3 2 2 3 4 2 4 2 2 3 1 1 7 9 7 9 1
108
8 .0
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89
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90
3.0
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2.0
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10.0
9.0
7.0
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91
2.0
3.0
4.0
3.0
3.0
3.0
4.0
2.0
3.0
2.0
2.0
2.0
4.0
4.0
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2.0
3.0
4.0
3.0
3.0
9.0
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6.0
12.0
8.0
13.0
92
3.0
3.0
4.0
3.0
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3.0
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2.0
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2.0
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10.0
9.0
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6.0
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10.0
13.0
93
3.0
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4.0
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3.0
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3.0
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2.0
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10.0
11.0
9.0
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9.0
11.0
94
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3.0
3.0
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8.0
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95
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9.0
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96
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3.0
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9.0
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14.0
97
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98
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8.0
11.0
9 4 3 4 3 3 3 4 2 3 3 3 3 3 3 3 3 3 2 3 3 3 3 1 9 9 9 9 8 1
109
9 .0
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100
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101
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10.0
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102
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4.0
3.0
3.0
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10.0
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8.0
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103
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104
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105
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106
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8.0
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9.0
5.0
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107
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8.0
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108
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2.0
1.0
1.0
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2.0
9.0
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4.0
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1
0
9
3.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
3.0
3.0
2.0
3.0
3.0
3.0
4.0
2.0
2.0
2.0
3.0
3.0
3.0
2.0
9.0
7.0
8.0
8.0
10.0
6.0
11.0
1
1
0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
9.0
9.0
8.0
9.0
9.0
9.0
12.
110
0 1
1
1
2.0
3.0
3.0
3.0
3.0
3.0
2.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
2.0
2.0
3.0
2.0
2.0
8.0
9.0
7.0
9.0
9.0
8.0
9.0
111
Lampiran 2 : Distribusi Item
Frequencies
statistics
uni
k
var
iati
f
ino
vat
if
ny
am
an
am
an
se
na
ng
mu
rah
mah
al
terj
an
gk
au
pe
ma
sar
an
pe
nju
ala
n
ikl
an
pusat
perbel
anjaan
dekat
deng
an
konsu
men
dilalui
bany
ak
orang
ny
am
an
me
ny
en
an
gk
an
ra
ma
h
Key
akin
an
Me
mbe
li
Rek
ome
nda
si
Ke
bia
sa
an
Pem
beli
an
ulan
g
N Valid 11
1
11
1
11
1
11
1
11
1
11
1
11
1 111
11
1 111
11
1
11
1 111 111 111
11
1
11
1
11
1 111 111
11
1 111
Missi
ng 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Mean 2.6
8
3.1
6
3.0
6
2.8
9
3.0
4
2.9
0
2.7
3 2.43
3.0
5
2.7
9
2.5
0
2.5
0 3.04 3.15 3.33
2.7
3
2.8
6
2.5
0 2.82 2.57
2.6
6 2.79
112
Lampiran 3 : validitas dan reliabilitas
Correlations
X1
unik Pearson Correlation .783**
Sig. (2-tailed) .000
N 111
variatif Pearson Correlation .760**
Sig. (2-tailed) .000
N 111
inovatif Pearson Correlation .785**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-
tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.673 3
113
Correlations
X2
nyaman Pearson Correlation .862**
Sig. (2-tailed) .000
N 111
aman Pearson Correlation .860**
Sig. (2-tailed) .000
N 111
senang Pearson Correlation .845**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-
tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.817 3
114
Correlations
X3
murah Pearson Correlation .828**
Sig. (2-tailed) .000
N 111
mahal Pearson Correlation .658**
Sig. (2-tailed) .000
N 111
terjangkau Pearson Correlation .868**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-
tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.696 3
115
Correlations
X4
pemasaran Pearson Correlation .863**
Sig. (2-tailed) .000
N 111
penjualan Pearson Correlation .814**
Sig. (2-tailed) .000
N 111
iklan Pearson Correlation .882**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-
tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.814 3
116
Correlations
X5
pusat perbelanjaan Pearson Correlation .878**
Sig. (2-tailed) .000
N 111
dekat dengan konsumen Pearson Correlation .914**
Sig. (2-tailed) .000
N 111
dilalui banyak orang Pearson Correlation .818**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.840 3
117
Correlations
X6
nyaman Pearson Correlation .856**
Sig. (2-tailed) .000
N 111
menyenangkan Pearson Correlation .857**
Sig. (2-tailed) .000
N 111
ramah Pearson Correlation .824**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.798 3
118
Correlations
Y
Keyakinan Membeli Pearson Correlation .867**
Sig. (2-tailed) .000
N 111
Rekomendasi Pearson Correlation .749**
Sig. (2-tailed) .000
N 111
Kebiasaan Pearson Correlation .778**
Sig. (2-tailed) .000
N 111
Pembelian ulang Pearson Correlation .822**
Sig. (2-tailed) .000
N 111
**. Correlation is significant at the 0.01 level (2-tailed).
Reliability Statistics
Cronbach's
Alpha N of Items
.818 4
119
Lampiran 4 : Multikolinieritas
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .600a .361 .324 1.10081
a. Predictors: (Constant), X6, X5, X1, X3, X4, X2
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 71.055 6 11.842 9.773 .000a
Residual 126.026 104 1.212
Total 197.081 110
a. Predictors: (Constant), X6, X5, X1, X3, X4, X2
b. Dependent Variable: Y
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) 1.672 1.356 1.233 .220
X1 .272 .108 .230 2.529 .013 .742 1.348
X2 -.032 .105 -.033 -.304 .762 .526 1.900
X3 .206 .115 .153 1.794 .076 .848 1.179
X4 .232 .081 .274 2.865 .005 .670 1.492
X5 .215 .093 .196 2.316 .023 .860 1.163
X6 .183 .111 .158 1.651 .102 .672 1.488
a. Dependent Variable: Y
120
Lampiran 5 : Normalitas
NPar Tests
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 111
Normal Parametersa Mean .0000000
Std. Deviation 1.07037082
Most Extreme Differences Absolute .111
Positive .062
Negative -.111
Kolmogorov-Smirnov Z 1.173
Asymp. Sig. (2-tailed) .128
a. Test distribution is Normal.
121
Lampiran 6 : Linieritas
Model Summary and Parameter Estimates
Dependent Variable:Y
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .178 23.623 1 109 .000 6.394 .499
The independent variable is X1.
Model Summary and Parameter Estimates
Dependent Variable:Y
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .130 16.268 1 109 .000 7.739 .351
The independent variable is X2.
Model Summary and Parameter Estimates
Dependent Variable:Y
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .090 10.759 1 109 .001 7.524 .403
The independent variable is X3.
Model Summary and Parameter Estimates
Dependent Variable:Y
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .208 28.606 1 109 .000 7.832 .386
The independent variable is X4.
122
Model Summary and Parameter Estimates
Dependent Variable:Y
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .088 10.571 1 109 .002 7.731 .326
The independent variable is X5.
Model Summary and Parameter Estimates
Dependent Variable:Y
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .085 10.117 1 109 .002 8.109 .337
The independent variable is X6.
123
Lampiran 7 : Regresi
Regression
Descriptive Statistics
Mean Std. Deviation N
Y 10.8378 1.33852 111
X1 8.9099 1.13257 111
X2 8.8288 1.37427 111
X3 8.2162 .99458 111
X4 7.7838 1.58059 111
X5 9.5225 1.21989 111
X6 8.0901 1.15640 111
Correlations
Y X1 X2 X3 X4 X5 X6
Pearson Correlation Y 1.000 .422 .360 .300 .456 .297 .291
X1 .422 1.000 .393 .171 .456 .133 .173
X2 .360 .393 1.000 .273 .485 .211 .548
X3 .300 .171 .273 1.000 .117 .318 .141
X4 .456 .456 .485 .117 1.000 .111 .334
X5 .297 .133 .211 .318 .111 1.000 -.008
X6 .291 .173 .548 .141 .334 -.008 1.000
Sig. (1-tailed) Y . .000 .000 .001 .000 .001 .001
X1 .000 . .000 .037 .000 .082 .035
X2 .000 .000 . .002 .000 .013 .000
X3 .001 .037 .002 . .111 .000 .070
X4 .000 .000 .000 .111 . .123 .000
X5 .001 .082 .013 .000 .123 . .467
X6 .001 .035 .000 .070 .000 .467 .
124
N Y 111 111 111 111 111 111 111
X1 111 111 111 111 111 111 111
X2 111 111 111 111 111 111 111
X3 111 111 111 111 111 111 111
X4 111 111 111 111 111 111 111
X5 111 111 111 111 111 111 111
X6 111 111 111 111 111 111 111
Variables Entered/Removedb
Model
Variables
Entered
Variables
Removed Method
1 X6, X5, X1, X3,
X4, X2a
. Enter
a. All requested variables entered.
b. Dependent Variable: Y
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate Durbin-Watson
1 .600a .361 .324 1.10081 2.468
a. Predictors: (Constant), X6, X5, X1, X3, X4, X2
b. Dependent Variable: Y
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 71.055 6 11.842 9.773 .000a
Residual 126.026 104 1.212
Total 197.081 110
a. Predictors: (Constant), X6, X5, X1, X3, X4, X2
b. Dependent Variable: Y
125
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
Correlations
B Std. Error Beta Zero-order Partial Part
1 (Constant) 1.672 1.356 1.233 .220
X1 .272 .108 .230 2.529 .013 .422 .241 .198
X2 -.032 .105 -.033 -.304 .762 .360 -.030 -.024
X3 .206 .115 .153 1.794 .076 .300 .173 .141
X4 .232 .081 .274 2.865 .005 .456 .271 .225
X5 .215 .093 .196 2.316 .023 .297 .221 .182
X6 .183 .111 .158 1.651 .102 .291 .160 .129
a. Dependent Variable: Y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 8.7341 12.7923 10.8378 .80371 111
Residual -3.11471 3.31569 .00000 1.07037 111
Std. Predicted Value -2.618 2.432 .000 1.000 111
Std. Residual -2.829 3.012 .000 .972 111
a. Dependent Variable: Y
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