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KUESIONER ANALISIS FAKTOR YANG MEMPENGARUHI KONSUMEN DALAM PROSES KEPUTUSAN PEMBELIAN PRODUK TUPPERWARE

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LAMPIRAN 1 : KUESIONER PENELITIAN

KUESIONER

ANALISIS FAKTOR YANG MEMPENGARUHI KONSUMEN DALAM PROSES KEPUTUSAN PEMBELIAN PRODUK TUPPERWARE

Petunjuk pengisian :

1. Isikan terlebih dahulu identitas anda.

2. Jawablah pertanyaan yang telah tersedia sesuai dengan diri anda.

3. Lingkari nilai yang tersedia pada setiap pernyataan yang tersedia pada tabel pernyataan sesuai dengan pendapat anda,dengan keterangan nilai sebagai berikut :

Nilai 1= STS (Sangat Tidak Setuju) Nilai 2 = TS (Tidak Setuju)

Nilai 3 = N (Netral/Ragu) Nilai 4 = S (Setuju)

Nilai 5 = SS (Sangat Setuju)

Berikan jawaban yang paling benar, sesuai dengan diri anda. I.

Nama Responden :

Nim :

Jurusan :

II.

• Produk tupperware apa yang pernah anda beli ?

...

• Dimana biasa anda membeli produk tupperware ? ...

• Seberapa sering anda membeli tupperware dalam sebulan ? ( Lingkari pilihan jawaban anda)

a. Sekali dalam sebulan b. Lebih dari sekali dalam sebulan c. Tidak menentu

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TABEL PERNYATAAN

No Pernyataan ST

S

TS N S SS

1 Karena kualitas yang baik,produk tupperware banyak diminati konsumen.

1 2 3 4 5

2 Produk - produk tupperware yang diproduksi oleh perusahaan tupperware memiliki warna yang menarik dan unik.

1 2 3 4 5

3 Perusahaan tupperware selalu memproduksi tuppeware dengan beragam macam bentuk yang menarik dan berbeda.

1 2 3 4 5

4 Penjual selalu mempromosikan tupperware melalui katalog,sehingga kosumen dapat dengan mudah melihat produk – produk tupperware.

1 2 3 4 5

5 Tupperware adalah wadah penyimpanan yang ringan dan kuat,sehingga tupperware mudah untuk dibawa kemana saja

1 2 3 4 5

6 Jenis tupperware botol minum dan tempat makanan lebih digemari mahasisiwi untuk digunakan selama beraktivitas dikampus.

1 2 3 4 5

7 Penjual tupperware selalu memberikan diskon untuk konsumen yang melalukan pembelian cash (kontan)

1 2 3 4 5

8 Tupperware banyak digemari oleh konsumen karena tupperware merupakan wadah penyimpanan yang sudah terkenal di dunia.

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9 Produk tupperware memiliki berbagai macam ukuran,mahasisiwi biasa lebih senang dengan ukuran tupperware yang sedang atau kecil karena mudah untuk dibawa dalam beraktivitas dikampus.

1 2 3 4 5

LAMPIRAN 2 : DATA HASIL KUESIONER

LAMPIRAN 2A : Data mentah Hasil Kuesioner

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19 4 5 4 5 4 5 3 5 4

20 3 4 4 4 4 5 4 4 4

21 3 4 4 4 5 5 4 4 4

22 5 4 4 4 4 4 4 5 5

23 4 5 5 4 4 5 4 3 4

24 4 4 4 4 4 4 4 4 4

25 4 5 4 5 4 5 4 5 4

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

26 4 5 4 5 4 5 4 5 4

27 4 5 4 5 4 5 4 5 4

28 4 5 4 5 4 5 4 5 4

29 4 4 4 4 3 4 3 4 4

30 4 4 4 2 2 4 4 4 4

31 3 5 3 2 3 4 3 5 3

32 3 4 3 2 4 3 3 4 4

33 5 5 4 4 4 5 3 4 4

34 4 5 4 4 4 5 4 4 5

35 4 3 3 5 3 4 3 2 3

36 5 5 4 4 4 5 3 4 4

37 4 4 2 2 4 4 3 4 4

38 4 4 2 2 3 2 2 3 4

39 5 4 4 4 3 5 4 4 4

40 4 5 5 4 4 5 3 4 4

41 4 4 4 5 5 5 3 4 4

42 4 5 5 4 4 5 3 4 4

43 4 4 3 4 4 4 3 4 4

44 4 3 4 4 4 5 5 4 4

45 4 4 3 4 4 4 3 4 4

46 4 4 4 2 4 4 3 3 4

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48 4 5 5 4 4 5 5 3 5

49 5 5 4 4 3 4 5 5 4

50 3 4 3 1 4 4 4 3 4

51 4 3 3 4 2 3 3 4 4

52 4 4 4 4 4 4 3 4 4

53 5 4 5 5 4 5 5 5 5

54 3 2 3 2 2 4 4 3 4

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

55 4 5 4 4 4 5 4 3 4

56 4 3 3 4 2 3 3 4 4

57 5 4 5 5 5 5 5 4 5

58 3 4 3 1 4 2 4 3 4

59 3 5 3 2 3 4 3 5 4

60 4 3 4 4 4 5 5 4 4

61 4 4 2 2 4 4 3 2 3

62 4 5 5 4 4 5 3 4 4

63 3 4 3 1 4 2 4 3 4

64 5 5 4 4 4 5 3 4 4

65 4 3 4 4 4 5 5 4 4

66 4 3 4 3 4 5 4 3 5

67 3 5 3 2 3 4 3 5 4

68 4 3 4 4 4 5 5 4 4

69 3 4 3 1 4 2 4 3 4

70 4 5 5 4 4 5 3 4 4

71 4 4 4 2 4 4 3 2 3

72 5 4 4 4 4 5 4 3 5

73 4 4 3 4 2 4 3 5 3

74 5 4 5 5 4 5 5 5 4

75 3 4 3 1 4 2 4 3 4

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77 4 3 4 3 4 5 4 3 5

78 5 4 5 5 4 5 5 5 5

79 3 2 3 2 2 4 4 3 4

80 4 5 5 4 4 5 3 4 4

81 4 4 4 2 4 4 3 2 3

82 5 4 4 4 4 5 4 3 5

83 5 4 5 5 4 5 5 5 5

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

84 4 3 4 4 4 5 4 3 5

85 5 4 4 4 4 5 4 3 5

86 3 4 3 1 4 4 4 3 4

87 4 3 4 3 4 5 4 3 5

88 5 5 4 4 4 5 3 4 4

89 3 4 3 1 4 4 4 3 4

90 3 4 3 1 4 2 4 3 4

91 3 2 3 2 2 4 4 3 4

92 4 5 4 5 4 5 4 5 4

93 5 5 4 4 4 5 3 4 4

94 4 3 4 3 4 5 4 3 5

95 5 4 4 4 4 5 4 3 5

96 4 4 3 5 2 4 3 5 3

97 5 4 5 5 4 5 5 5 5

98 5 5 4 4 4 5 3 4 4

99 3 4 3 1 4 2 4 3 4

100 3 2 3 2 2 4 4 3 4

101 4 4 2 2 4 4 3 2 3

102 5 4 4 4 4 5 4 3 5

103 3 4 3 1 4 2 4 3 4

104 4 5 5 4 4 5 3 4 4

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106 5 4 5 5 4 5 5 5 4

107 4 3 4 3 4 5 4 3 5

108 3 2 3 2 2 4 4 3 4

109 3 4 3 1 4 4 4 3 4

110 3 4 3 1 4 2 4 3 4

111 4 5 5 4 4 5 3 4 4

112 4 4 3 4 2 4 3 5 3

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

113 5 5 4 4 4 5 3 4 4

114 4 4 2 2 4 4 3 2 4

115 5 4 5 5 4 5 5 5 5

116 4 3 4 3 4 5 4 3 5

117 4 2 4 4 5 5 4 3 4

118 4 5 4 5 4 5 4 5 4

119 4 5 4 5 4 5 4 5 4

120 4 3 4 4 4 5 5 4 4

121 3 2 3 2 2 4 4 3 4

122 4 4 3 4 2 4 3 5 3

123 5 5 4 4 4 5 3 4 4

124 4 3 4 3 4 5 4 3 5

125 3 4 3 1 4 2 4 3 4

126 4 3 4 4 4 5 5 4 4

127 4 5 4 5 4 5 4 5 4

128 3 4 3 1 4 2 4 3 4

129 4 4 3 4 2 4 3 5 3

130 4 4 4 2 4 4 3 2 3

131 3 4 3 2 4 2 4 3 4

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LAMPIRAN 2B : Transformasi Data Ordinal ke Interval

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27 2,368 4,131 3,361 4,169 2,874 3,526 4,070 4,230 2,469

(10)

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56 2,368 1,845 2,197 2,970 1,000 1,530 2,776 3,172 2,469

(11)

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85 3,734 2,848 3,361 2,970 2,874 3,526 4,070 2,191 3,921

(12)

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114 2,368 2,848 1,000 1,878 2,874 2,202 2,776 1,000 2,469

(13)

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LAMPIRAN 3 : PERHITUNGAN KORELASI

LAMPIRAN 3A : Perhitungan Korelasi Product Moment

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25 2,368 28,830 68,260672 5,60601 831,165008

(1) (2) (3) (4) (5) (6)

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53 3,734 31,528 117,72058 13,942 993,986015 54 1,000 17,007 17,006525 1 289,221881

(1) (2) (3) (4) (5) (6)

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82 3,734 25,760 96,186952 13,942 663,602196 83 3,734 31,528 117,72058 13,942 993,986015

(1) (2) (3) (4) (5) (6)

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111 2,368 26,544 62,847984 5,60601 704,577618 112 2,368 19,222 45,511337 5,60601 369,475236

(1) (2) (3) (4) (5) (6)

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27 2,368 4,131 9,78164 5,60601 17,067497

(1) (2) (3) (4) (5) (6) 28 2,368 4,131 9,78164 5,60601 17,067497 29 2,368 2,848 6,74285 5,60601 8,1102255 30 2,368 2,848 6,74285 5,60601 8,1102255 31 1,000 4,131 4,13128 1 17,067497 32 1,000 2,848 2,84785 1 8,1102255 33 3,734 4,131 15,4258 13,942 17,067497 34 2,368 4,131 9,78164 5,60601 17,067497 35 2,368 1,845 4,36943 5,60601 3,4056165 36 3,734 4,131 15,4258 13,942 17,067497 37 2,368 2,848 6,74285 5,60601 8,1102255 38 2,368 2,848 6,74285 5,60601 8,1102255 39 3,734 2,848 10,6336 13,942 8,1102255 40 2,368 4,131 9,78164 5,60601 17,067497 41 2,368 2,848 6,74285 5,60601 8,1102255 42 2,368 4,131 9,78164 5,60601 17,067497 43 2,368 2,848 6,74285 5,60601 8,1102255 44 2,368 1,845 4,36943 5,60601 3,4056165 45 2,368 2,848 6,74285 5,60601 8,1102255 46 2,368 2,848 6,74285 5,60601 8,1102255 47 2,368 4,131 9,78164 5,60601 17,067497 48 2,368 4,131 9,78164 5,60601 17,067497 49 3,734 4,131 15,4258 13,942 17,067497 50 1,000 2,848 2,84785 1 8,1102255 51 2,368 1,845 4,36943 5,60601 3,4056165 52 2,368 2,848 6,74285 5,60601 8,1102255 53 3,734 2,848 10,6336 13,942 8,1102255

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56 2,368 4,131 9,78164 5,60601 17,067497 57 2,368 1,845 4,36943 5,60601 3,4056165

(1) (2) (3) (4) (5) (6) 58 1,000 2,848 2,84785 1 8,1102255 59 1,000 4,131 4,13128 1 17,067497 60 2,368 1,845 4,36943 5,60601 3,4056165 61 2,368 2,848 6,74285 5,60601 8,1102255 62 2,368 4,131 9,78164 5,60601 17,067497 63 1,000 2,848 2,84785 1 8,1102255 64 3,734 4,131 15,4258 13,942 17,067497 65 2,368 1,845 4,36943 5,60601 3,4056165 66 2,368 1,845 4,36943 5,60601 3,4056165 67 1,000 4,131 4,13128 1 17,067497 68 2,368 1,845 4,36943 5,60601 3,4056165 60 1,000 2,848 2,84785 1 8,1102255 70 2,368 4,131 9,78164 5,60601 17,067497 71 2,368 2,848 6,74285 5,60601 8,1102255 72 3,734 2,848 10,6336 13,942 8,1102255 73 2,368 2,848 6,74285 5,60601 8,1102255 74 3,734 2,848 10,6336 13,942 8,1102255 75 1,000 2,848 2,84785 1 8,1102255 76 2,368 1,845 4,36943 5,60601 3,4056165 77 2,368 1,845 4,36943 5,60601 3,4056165 78 3,734 2,848 10,6336 13,942 8,1102255

79 1,000 1,000 1 1 1

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85 3,734 2,848 10,6336 13,942 8,1102255 86 1,000 2,848 2,84785 1 8,1102255

(1) (2) (3) (4) (5) (6)

87 2,368 1,845 4,36943 5,60601 3,4056165 88 3,734 4,131 15,4258 13,942 17,067497 89 1,000 2,848 2,84785 1 8,1102255 90 1,000 2,848 2,84785 1 8,1102255

91 1,000 1,000 1 1 1

92 2,368 4,131 9,78164 5,60601 17,067497 93 3,734 4,131 15,4258 13,942 17,067497 94 2,368 1,845 4,36943 5,60601 3,4056165 95 3,734 2,848 10,6336 13,942 8,1102255 96 2,368 2,848 6,74285 5,60601 8,1102255 97 3,734 2,848 10,6336 13,942 8,1102255 98 3,734 4,131 15,4258 13,942 17,067497 99 1,000 2,848 2,84785 1 8,1102255

100 1,000 1,000 1 1 1

101 2,368 2,848 6,74285 5,60601 8,1102255 102 3,734 2,848 10,6336 13,942 8,1102255 103 1,000 2,848 2,84785 1 8,1102255 104 2,368 4,131 9,78164 5,60601 17,067497 105 2,368 2,848 6,74285 5,60601 8,1102255 106 3,734 2,848 10,6336 13,942 8,1102255 107 2,368 1,845 4,36943 5,60601 3,4056165

108 1,000 1,000 1 1 1

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114 2,368 2,848 6,74285 5,60601 8,1102255 115 3,734 2,848 10,6336 13,942 8,1102255

(1) (2) (3) (4) (5) (6)

116 2,368 1,845 4,36943 5,60601 3,4056165 117 2,368 1,000 2,3677 5,60601 1 118 2,368 4,131 9,78164 5,60601 17,067497 119 2,368 4,131 9,78164 5,60601 17,067497 120 2,368 1,845 4,36943 5,60601 3,4056165

121 1,000 1,000 1 1 1

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LAMPIRAN 4 : HASIL OUTPUT SPSS

Descriptive Statistics

Mean

Std.

Deviation

Analysis

N

Missing

N

x1 3.9848 .65364 132 0

x2 3.9924 .84254 132 0

x3 3.7652 .77025 132 0

x4 3.3712 1.29240 132 0

x5 3.7424 .74773 132 0

x6 4.3409 .90655 132 0

x7 3.7652 .69743 132 0

x8 3.7045 .89731 132 0

x9 4.1136 .60086 132 0

Inverse of Correlation Matrix

x1 x2 x3 x4 x5 x6 x7 x8 x9

x1 2.245 -.485 -.137 -1.624 .168 -.172 .093 .676 -.277

x2 -.485 2.464 -.733 .840 -1.130 .285 1.097 -1.565 .314

x3 -.137 -.733 2.534 -.655 -.236 -.699 -.505 .236 -.446

x4 -1.624 .840 -.655 4.909 -.415 -1.562 .361 -2.447 .309

x5 .168 -1.130 -.236 -.415 1.955 -.144 -.553 1.137 -.406

x6 -.172 .285 -.699 -1.562 -.144 2.591 .073 .340 -.166

x7 .093 1.097 -.505 .361 -.553 .073 1.959 -.921 -.574

x8 .676 -1.565 .236 -2.447 1.137 .340 -.921 3.116 -.069

x9 -.277 .314 -.446 .309 -.406 -.166 -.574 -.069 1.750

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .644

Bartlett's Test of Sphericity Approx. Chi-Square 579.788

Df 36

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Rotation Method: Varimax with Kaiser

(25)
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Component Matrixa

Component

1 2 3

x4 .849

x3 .838

x6 .807

x1 .750

x8 .546 -.474 -.414

x7 .688

x9 .518 .658

x2 -.590 .550

x5 .454 .722

Extraction Method: Principal Component

Analysis.

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Reproduced Correlations

x1 x2 x3 x4 x5 x6 x7 x8 x9

Reproduced

Correlation

x1 .602a .406 .609 .689 .279 .599 .138 .500 .260

x2 .406 .797a .336 .331 .369 .225 -.449 .261 -.171

x3 .609 .336 .737a .641 .524 .661 .334 .345 .512

x4 .689 .331 .641 .874a .090 .712 .218 .709 .251

x5 .279 .369 .524 .090 .845a .288 .160 -.213 .486

x6 .599 .225 .661 .712 .288 .666a .356 .478 .432

x7 .138 -.449 .334 .218 .160 .356 .719a .013 .631

x8 .500 .261 .345 .709 -.213 .478 .013 .694a -.044

x9 .260 -.171 .512 .251 .486 .432 .631 -.044 .703a

Residualb x1 -.116 -.085 -.004 -.052 -.023 -.079 -.195 -.002

x2 -.116 -.009 -.069 -.045 -.102 .160 .140 .082

x3 -.085 -.009 -.047 -.087 -.032 -.011 -.027 -.058

x4 -.004 -.069 -.047 .057 .000 -.044 -.061 -.030

x5 -.052 -.045 -.087 .057 -.011 .059 .087 -.098

x6 -.023 -.102 -.032 .000 -.011 -.131 -.165 -.083

x7 -.079 .160 -.011 -.044 .059 -.131 .144 -.111

x8 -.195 .140 -.027 -.061 .087 -.165 .144 .078

x9 -.002 .082 -.058 -.030 -.098 -.083 -.111 .078

Extraction Method: Principal

Component Analysis.

a. Reproduced communalities

b. Residuals are computed between observed and reproduced correlations. There are 23

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Rotated Component Matrixa

Component

1 2 3

x4 .929

x8 .789

x6 .726

x1 .722

x3 .634 .538

x5 .916

x7 .826

x2 .446 -.674

x9 .473 .668

Extraction Method: Principal Component

Analysis.

Rotation Method: Varimax with Kaiser

Normalization.

a. Rotation converged in 4 iterations.

Component Score Coefficient Matrix

Component

1 2 3

x1 .218 .061 -.057

x2 .076 .313 -.476

x3 .133 .223 .051

x4 .334 -.136 .016

x5 -.162 .610 -.065

x6 .215 .021 .106

x7 .020 -.056 .490

x8 .344 -.301 -.055

x9 -.036 .209 .349

Extraction Method: Principal Component

Analysis.

Rotation Method: Varimax with Kaiser

Normalization.

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Case Processing Summary

N %

Cases Valid 132 100.0

Excludeda 0 .0

Total 132 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

.799 9

Item Statistics

Mean Std. Deviation N

x1 3.9848 .65364 132

x2 3.9924 .84254 132

x3 3.7652 .77025 132

x4 3.3712 1.29240 132

x5 3.7424 .74773 132

x6 4.3409 .90655 132

x7 3.7652 .69743 132

x8 3.7045 .89731 132

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c

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected

Item-Total Correlation

Cronbach's

Alpha if Item

Deleted

x1 30.7955 18.286 .630 .767

x2 30.7879 19.436 .281 .806

x3 31.0152 16.916 .746 .748

x4 31.4091 13.541 .738 .741

x5 31.0379 19.472 .334 .798

x6 30.4394 16.447 .675 .753

x7 31.0152 20.229 .242 .807

x8 31.0758 17.948 .458 .784

x9 30.6667 19.796 .388 .792

Scale Statistics

Mean Variance Std. Deviation N of Items

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ci

Correlation Matrixa

x1 x2 x3 x4 x5 x6 x7 x8 x9

Correlation x1 1.000 .291 .524 .684 .226 .576 .059 .305 .257

x2 .291 1.000 .327 .262 .324 .123 -.289 .401 -.089

x3 .524 .327 1.000 .594 .438 .629 .323 .319 .454

x4 .684 .262 .594 1.000 .147 .712 .174 .648 .221

x5 .226 .324 .438 .147 1.000 .277 .220 -.126 .388

x6 .576 .123 .629 .712 .277 1.000 .224 .312 .349

x7 .059 -.289 .323 .174 .220 .224 1.000 .157 .520

x8 .305 .401 .319 .648 -.126 .312 .157 1.000 .034

x9 .257 -.089 .454 .221 .388 .349 .520 .034 1.000

Sig.

(1-tailed)

x1 .000 .000 .000 .005 .000 .250 .000 .001

x2 .000 .000 .001 .000 .079 .000 .000 .156

x3 .000 .000 .000 .000 .000 .000 .000 .000

x4 .000 .001 .000 .046 .000 .023 .000 .006

x5 .005 .000 .000 .046 .001 .006 .076 .000

x6 .000 .079 .000 .000 .001 .005 .000 .000

x7 .250 .000 .000 .023 .006 .005 .036 .000

x8 .000 .000 .000 .000 .076 .000 .036 .348

x9 .001 .156 .000 .006 .000 .000 .000 .348

Gambar

TABEL PERNYATAAN

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