64
Lampiran 1. Kuesioner Penelitian
KUISIONER PENELITIAN
Kuisioner ini digunakan sebagai bahan untuk penyusunan skripsi dengan
judul : “Analisis Proses Pengambilan Keputusan Produk Kredit Cepat Aman
Pegadaian Nasabah Perum Pegadaian Juanda Bogor)” oleh Putri Handayani
(H24070111), Mahasiswi Departemen Manajemen, Fakultas Ekonomi dan
Manajemen, Institut Pertanian Bogor. Informasi yang diterima dari kuisioner ini
bersifat rahasia dan hanya digunakan untuk kepentingan akademis. Terima kasih
atas bantuan dan kerjasamanya.
SCREENING
Apakah Anda pernah memiliki produk Kredit Cepat Aman Pegadaian ?
a. Ya
b. Tidak
Jika Anda menjawab Ya, maka silahkan melanjutkan untuk mengisi kuesioner ini.
1. IDENTITAS RESPONDEN
No Responden
:
Nama
:
Jenis Kelamin
: a. Laki-laki
b. Perempuan
Usia
: a. 17-23 Tahun
c. 31-40 Tahun
b. 24-30 Tahun
d. > 40 Tahun
Status Pernikahan
: a. Menikah
b. Belum menikah
Tempat Tinggal
:
Pendidikan Terakhir : a. SD/SMP
d. S1
b. SMA/SMK
e. S2
c. Diploma
f. S3
Pekerjaan
: a. Pelajar/Mahasiswa
e. Ibu Rumah Tangga
b. Pegawai Swasta
f. Lainnya………
c. Pegawai Negeri
d. Wiraswasta/ Pedagang
Pendapatan/bulan
:
a. < Rp 500.0000
e. Rp 3.500.000-Rp 4.500.000
b. Rp 500.000-1.500.000
f. Rp 4.500.000-Rp. 5.500.000
c. Rp 1.500.000-Rp 2.500.000
g. > Rp 5.500.000
d. Rp. 2.500.000-Rp 3.500.000
65
Lanjutan Lampiran 1.
II. PROSES PENGAMBILAN KEPUTUSAN
Petunjuk : Berilah tanda silang (X) pada jawaban yang Anda pilih
Pengenalan Kebutuhan
1. Apa tujuan Anda menggunakan Kredit Cepat Aman Pegadaian ?
a. Kebutuhan sehari- hari
b. Kebutuhan mendesak
c. Mendapatkan tambahan modal usaha
d. Memulai usaha baru
e. Lainnya, sebutkan………..
2. Berapa besar pinjaman yang anda butuhkan ?
a. Rp 20.000- Rp 150.000
e. Rp 50.100.000- Rp 200.000.00
b. Rp 151.000- Rp 1.000.000
c. Rp 1.010.000- Rp 20.000.000
d. Rp 20.010.000- Rp 50.000.000
Pencarian Informasi
1. Dari mana Anda mengetahui produk-produk Pegadaian?
a. Media elektron
d. Teman/kenalan
b. Media massa
e. Informasi dari Pihak Pegadaian
c. Anggota keluarga
f. Lainnya ………
Evaluasi Alternatif
1. Alasan Anda memilih Kredit Cepat Aman Pegadaian ?
a. Keamanan
d. Lokasi
b. Bunga yang diperoleh
e. Kemudahan Transaksi
c. Fasilitas
f. Lainnya………
Keputusan Pembelian
1. Ketika Anda dihadapkan pada berbagai pilihan produk, apakah Kredit Cepat
Aman Pegadaian akan menjadi prioritas Anda?
a. Ya
b. Tidak
2. Bagaimana cara Anda memutuskan untuk memilih Kredit Cepat Aman
Pegadaian ?
a. Terencana dengan mencari informasi terlebih dahulu
b. Langsung memutuskan memilih Kredit Cepat Aman Pegadaian dijalan/
melewati Pegadaian
66
Lanjutan Lampiran 1.
3. Siapakah yang mempengaruhi Anda untuk menggunakan Kredit Cepat Aman
Pegadaian ?
a. Diri sendiri
d. Media iklan/promosi
b. Teman
e. Lainnya, sebutkan………
c. Keluarga
4. Seberapa sering Anda berkunjung (bertransaksi) di Perum Pegadaian?
a. 1- 4 bulan sekali
c. 6 bulan s/d 1 tahun sekali
b. 4- 6 bulan sekali
d. Lebih dari 1tahun sekali
5. Barang jaminan apa yang sering Anda gadaikan di Perum Pegadaian?
a. Emas
b. Elektronik (Tv, Hp dll)
c. Barang Lainnya, sebutkan………….
Evaluasi Pasca Pembelian
1. Apakah Anda benar-benar menyukai Kredit Cepat Aman Pegadaian?
a. Sangat Suka
c. Biasa Saja
e. Sangat Tidak Suka
b. Suka
d. Tidak Suka
2. Apakah Anda merasa puas setelah berkunjung (bertransaksi) di Perum
Pegadaian ?
a. Sangat puas
d. Tidak puas
b. Puas
e. Sangat tidak puas
c. Biasa saja
3. Setelah Anda bertransaksi Kredit Cepat Aman Pegadaian, apakah Anda
menyarankan untuk menggunakan Kredit Cepat Aman pegadaian kepada
orang lain ?
a. Ya
b. Tidak
67
Lanjutan Lampiran 1.
III. ATRIBUT-ATRIBUT YANG DIPENTINGKAN OLEH NASABAH
Pertanyaa
: Seberapa penting atribut-atribut dalam Kredit Cepat Aman
Pegadaian
Petunjuk
: Mohon diisi dengan memberi tanda ceklist (√) pada kolom yang
telah disediakan sesuai dengan pendapat Anda
No
Atribut
Tingkat Kepentingan
Sangat
Penting
Penting
Cukup
Penting
Kurang
Penting
Tidak
Penting
1
Lokasi yang strategis
2
Keamanan bertransaksi
3
Besarnya bunga yang
dibebankan sesuai dengan
kemudahan
4
Fasilitas yang diperoleh
5
Taksiran barang jaminan
tepat
6
Kemudahan layanan
melalui telepon
7
Batas waktu pelunasan
(4bulan)
8
Perum Pegadaian dapat
ditemui di banyak tempat
9
Pegawai dapat
memberikan informasi
secara tepat dan jelas
10
Pegawai cepat tanggap
(pegawai sigap dan segera
untuk melayani)
11
Keramahan pelayanan
(pelayanan yang baik,
pegawai yang bersikap
hangat, ramah dan
bersahabat)
12
Penanganan keluhan
pelanggan cepat
13
Kelengkapan transaksi di
Perum Pegadaian sudah
baik
14
Penampilan karyawan rapih
dan baik
68
Lanjutan Lampiran 1.
No
Atribut
Tingkat Kepentingan
Sangat
Penting
Penting
Cukup
Penting
Kurang
Penting
Tidak
Penting
15
Lingkungan Perum
Pegadaian yang
rapih,nyaman dan bersih
16
Laporan dan informasi
cepat diterima (waktu
lelang, jatuh tempo, dsb)
17
Prosedur (cara dan
persyaratan) menggadai
mudah dipenuhi
18
Jarak dari tempat duduk ke
lokasi transaksi tidak
terlalu jauh
19
Kualitas dan pemeliharaan
berbagai fasilitas dan
sarana
69
Lampiran 2. Hasil Uji Validitas
Correlations VAR 0000 1 VAR 0000 2 VAR 0000 3 VAR 0000 4 VAR 0000 5 VAR 0000 6 VAR 0000 7 VAR 0000 8 VAR 0000 9 VAR0 00 10 VAR 000 11 VAR 000 12 VAR 000 13 VAR 000 14 VAR 000 15 VAR 000 16 VAR0 00 17 VAR 000 18 VAR 000 19 VAR 000 20
VAR00001 Pearson Correlation 1 .189 .029 .119 -.026 .131 .083 .293 .094 .379* .345 .398* .165 .297 .297 .160 .090 .295 .296 .455*
Sig. (2-tailed) .317 .879 .531 .889 .491 .662 .116 .621 .039 .062 .029 .384 .111 .111 .399 .636 .114 .112 .012
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00002 Pearson Correlation .189 1 .118 .247 .269 -.109 -.223 .243 .294 .331 .100 .542** .034 .460* .460* .000 .229 .330 .312 .450*
Sig. (2-tailed) .317 .534 .188 .150 .566 .237 .195 .114 .074 .598 .002 .858 .011 .011 1.000 .223 .075 .094 .013
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00003 Pearson Correlation .029 .118 1 .152 -.069 .134 .274 .304 .368* .254 .154 .160 -.105 -.051 .253 .390* .352 .156 -.080 .404*
Sig. (2-tailed) .879 .534 .422 .717 .480 .143 .103 .046 .175 .417 .397 .580 .791 .178 .033 .056 .410 .675 .027
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00004 Pearson Correlation .119 .247 .152 1 -.075 .184 .169 .055 .464** .390* .419* .287 .393* .046 .237 .300 .059 -.036 .327 .498**
Sig. (2-tailed) .531 .188 .422 .693 .331 .372 .774 .010 .033 .021 .124 .031 .807 .208 .107 .757 .850 .078 .005
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00005 Pearson Correlation -.026 .269 -.069 -.075 1 .321 .073 .312 -.017 .214 .039 .302 .375* .507** .200 .111 .285 -.154 .170 .389*
Sig. (2-tailed) .889 .150 .717 .693 .084 .702 .093 .928 .255 .838 .105 .041 .004 .290 .561 .127 .416 .370 .034
70
VAR00006 Pearson Correlation .131 -.109 .134 .184 .321 1 .444* .400* -.054 -.031 -.028 .267 .370* .108 .108 .311 .078 .089 .418* .492**
Sig. (2-tailed) .491 .566 .480 .331 .084 .014 .029 .776 .870 .882 .153 .044 .570 .570 .095 .682 .639 .022 .006
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00007 Pearson Correlation .083 -.223 .274 .169 .073 .444* 1 .468** .196 .255 .290 .299 .352 -.088 .084 .423* -.027 -.109 -.132 .452*
Sig. (2-tailed) .662 .237 .143 .372 .702 .014 .009 .299 .174 .120 .108 .056 .646 .660 .020 .889 .567 .486 .012
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00008 Pearson Correlation .293 .243 .304 .055 .312 .400* .468** 1 .093 .436* .317 .409* .157 .504** .426* .257 .326 .333 .230 .695**
Sig. (2-tailed) .116 .195 .103 .774 .093 .029 .009 .625 .016 .088 .025 .408 .005 .019 .171 .079 .072 .222 .000
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00009 Pearson Correlation .094 .294 .368* .464** -.017 -.054 .196 .093 1 .527** .479** .471** -.046 -.069 .025 .233 .351 -.019 -.238 .404*
Sig. (2-tailed) .621 .114 .046 .010 .928 .776 .299 .625 .003 .007 .009 .810 .716 .895 .215 .057 .919 .204 .027
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00010 Pearson Correlation .379* .331 .254 .390* .214 -.031 .255 .436* .527** 1 .909** .538** .343 .471** .471** .097 .000 .218 .050 .682**
Sig. (2-tailed) .039 .074 .175 .033 .255 .870 .174 .016 .003 .000 .002 .064 .009 .009 .610 1.000 .246 .795 .000
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00011 Pearson Correlation .345 .100 .154 .419* .039 -.028 .290 .317 .479** .909** 1 .489** .401* .342 .428* .176 -.099 .132 -.045 .586**
Sig. (2-tailed) .062 .598 .417 .021 .838 .882 .120 .088 .007 .000 .006 .028 .064 .018 .352 .601 .486 .813 .001
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00012 Pearson Correlation .398* .542** .160 .287 .302 .267 .299 .409* .471** .538** .489** 1 .397* .378* .592** .308 .174 .287 .079 .740**
Sig. (2-tailed) .029 .002 .397 .124 .105 .153 .108 .025 .009 .002 .006 .030 .039 .001 .097 .358 .125 .679 .000
71
VAR00013 Pearson Correlation .165 .034 -.105 .393* .375* .370* .352 .157 -.046 .343 .401* .397* 1 .415* .327 .054 -.224 -.117 .175 .478**
Sig. (2-tailed) .384 .858 .580 .031 .041 .044 .056 .408 .810 .064 .028 .030 .023 .078 .776 .234 .537 .354 .007
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00014 Pearson Correlation .297 .460* -.051 .046 .507** .108 -.088 .504** -.069 .471** .342 .378* .415* 1 .494** -.017 .137 .334 .373* .556**
Sig. (2-tailed) .111 .011 .791 .807 .004 .570 .646 .005 .716 .009 .064 .039 .023 .005 .928 .470 .071 .043 .001
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00015 Pearson Correlation .297 .460* .253 .237 .200 .108 .084 .426* .025 .471** .428* .592** .327 .494** 1 .330 .235 .465** .195 .666**
Sig. (2-tailed) .111 .011 .178 .208 .290 .570 .660 .019 .895 .009 .018 .001 .078 .005 .075 .212 .010 .301 .000
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00016 Pearson Correlation .160 .000 .390* .300 .111 .311 .423* .257 .233 .097 .176 .308 .054 -.017 .330 1 .564** .080 .256 .534**
Sig. (2-tailed) .399 1.00 0
.033 .107 .561 .095 .020 .171 .215 .610 .352 .097 .776 .928 .075 .001 .673 .172 .002
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00017 Pearson Correlation .090 .229 .352 .059 .285 .078 -.027 .326 .351 .000 -.099 .174 -.224 .137 .235 .564** 1 .121 .144 .370*
Sig. (2-tailed) .636 .223 .056 .757 .127 .682 .889 .079 .057 1.000 .601 .358 .234 .470 .212 .001 .524 .447 .044
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00018 Pearson Correlation .295 .330 .156 -.036 -.154 .089 -.109 .333 -.019 .218 .132 .287 -.117 .334 .465** .080 .121 1 .329 .383*
Sig. (2-tailed) .114 .075 .410 .850 .416 .639 .567 .072 .919 .246 .486 .125 .537 .071 .010 .673 .524 .076 .036
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00019 Pearson Correlation .296 .312 -.080 .327 .170 .418* -.132 .230 -.238 .050 -.045 .079 .175 .373* .195 .256 .144 .329 1 .407*
72
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
VAR00020 Pearson Correlation .455* .450* .404* .498** .389* .492** .452* .695** .404* .682** .586** .740** .478** .556** .666** .534** .370* .383* .407* 1
Sig. (2-tailed) .012 .013 .027 .005 .034 .006 .012 .000 .027 .000 .001 .000 .007 .001 .000 .002 .044 .036 .026
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
*. Correlation is significant at the 0.05 level (2-tailed).
73
Lampiran 3. Hasil Uji Reliabilitas
Case Processing Summary
N % Cases Valid 30 100.0
Excludeda 0 .0 Total 30 100.0 a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items .827 19
74
Lampiran 4. KMO
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .792 Bartlett's Test of Sphericity Approx. Chi-Square 677.190 df 171 Sig. .000
75
Lampiran 5. Anti Image Matrices
Anti-image Matrices VAR 0000 1 VAR 0000 2 VAR 0000 3 VAR 0000 4 VAR 0000 5 VAR 0000 6 VAR 0000 7 VAR 0000 8 VAR 0000 9 VAR 000 10 VAR 000 11 VAR 000 12 VAR 000 13 VAR 000 14 VAR 000 15 VAR 000 16 VAR 000 17 VAR 000 18 VAR 000 19 Anti-image Covariance VAR00001 .624 -.146 .078 -.061 -.105 .022 -.026 -.195 .049 -.079 -.003 .029 -.072 .060 .013 .000 .063 -.050 .001
VAR00002 -.146 .686 -.122 .033 -.061 .052 .000 -.033 -.061 -.038 .045 -.092 .040 -.070 -.081 .019 -.002 .098 -.035 VAR00003 .078 -.122 .706 -.159 -.001 -.099 -.068 -.083 .016 .031 -.038 .008 .008 .034 -.010 -.085 -.039 -.034 .125 VAR00004 -.061 .033 -.159 .554 -.187 .040 .010 -.038 -.003 .022 -.031 -.030 -.125 .079 -.018 .044 .052 -.085 -.045 VAR00005 -.105 -.061 -.001 -.187 .536 -.109 .042 .049 -.107 .101 -.033 .065 .013 -.095 .023 -.028 -.224 .046 .023 VAR00006 .022 .052 -.099 .040 -.109 .746 -.014 -.126 .103 -.004 .025 -.157 -.016 -.022 .009 .000 .014 -.058 .003 VAR00007 -.026 .000 -.068 .010 .042 -.014 .678 -.055 -.010 .001 -.093 .000 -.023 -.023 .176 -.108 -.018 -.179 .124 VAR00008 -.195 -.033 -.083 -.038 .049 -.126 -.055 .594 -.085 -.028 .077 -.035 .012 -.072 .038 .023 -.040 -.054 -.022 VAR00009 .049 -.061 .016 -.003 -.107 .103 -.010 -.085 .530 -.093 -.026 -.131 -.038 .128 .049 -.022 -.028 -.044 -.077 VAR00010 -.079 -.038 .031 .022 .101 -.004 .001 -.028 -.093 .340 -.190 .060 -.020 -.025 -.082 -.014 -.109 .018 .031 VAR00011 -.003 .045 -.038 -.031 -.033 .025 -.093 .077 -.026 -.190 .338 -.117 -.007 -.068 -.026 -.034 .059 .027 .037 VAR00012 .029 -.092 .008 -.030 .065 -.157 .000 -.035 -.131 .060 -.117 .481 -.102 -.009 -.056 -.026 -.026 .005 .013 VAR00013 -.072 .040 .008 -.125 .013 -.016 -.023 .012 -.038 -.020 -.007 -.102 .512 -.208 .054 .018 .012 .004 -.054 VAR00014 .060 -.070 .034 .079 -.095 -.022 -.023 -.072 .128 -.025 -.068 -.009 -.208 .503 -.052 -.028 .089 -.006 -.093 VAR00015 .013 -.081 -.010 -.018 .023 .009 .176 .038 .049 -.082 -.026 -.056 .054 -.052 .426 -.135 .001 -.182 -.023
76
VAR00016 .000 .019 -.085 .044 -.028 .000 -.108 .023 -.022 -.014 -.034 -.026 .018 -.028 -.135 .492 -.131 .111 -.160 VAR00017 .063 -.002 -.039 .052 -.224 .014 -.018 -.040 -.028 -.109 .059 -.026 .012 .089 .001 -.131 .549 -.071 -.012 VAR00018 -.050 .098 -.034 -.085 .046 -.058 -.179 -.054 -.044 .018 .027 .005 .004 -.006 -.182 .111 -.071 .457 -.166 VAR00019 .001 -.035 .125 -.045 .023 .003 .124 -.022 -.077 .031 .037 .013 -.054 -.093 -.023 -.160 -.012 -.166 .482 Anti-image Correlation VAR00001 .804a -.223 .117 -.105 -.182 .033 -.040 -.321 .085 -.172 -.006 .054 -.127 .106 .026 -.002 .108 -.094 .003 VAR00002 -.223 .832a -.175 .053 -.100 .072 .000 -.052 -.101 -.079 .092 -.160 .067 -.119 -.150 .033 -.003 .176 -.061 VAR00003 .117 -.175 .757a -.254 -.002 -.136 -.099 -.128 .027 .063 -.077 .013 .013 .058 -.018 -.144 -.062 -.060 .214 VAR00004 -.105 .053 -.254 .807a -.343 .061 .016 -.066 -.005 .051 -.071 -.058 -.235 .150 -.036 .085 .094 -.168 -.086 VAR00005 -.182 -.100 -.002 -.343 .678a -.172 .070 .087 -.201 .237 -.077 .129 .025 -.182 .049 -.054 -.413 .092 .046 VAR00006 .033 .072 -.136 .061 -.172 .773a -.019 -.189 .164 -.007 .050 -.262 -.026 -.036 .015 -.001 .022 -.099 .006 VAR00007 -.040 .000 -.099 .016 .070 -.019 .626a -.086 -.016 .002 -.194 .001 -.038 -.039 .327 -.186 -.029 -.321 .216 VAR00008 -.321 -.052 -.128 -.066 .087 -.189 -.086 .833a -.152 -.063 .172 -.065 .022 -.131 .076 .043 -.070 -.103 -.041 VAR00009 .085 -.101 .027 -.005 -.201 .164 -.016 -.152 .842a -.220 -.063 -.259 -.072 .248 .103 -.042 -.051 -.089 -.153 VAR00010 -.172 -.079 .063 .051 .237 -.007 .002 -.063 -.220 .778a -.560 .148 -.049 -.061 -.214 -.034 -.253 .047 .075 VAR00011 -.006 .092 -.077 -.071 -.077 .050 -.194 .172 -.063 -.560 .788a -.290 -.017 -.166 -.069 -.083 .137 .068 .091 VAR00012 .054 -.160 .013 -.058 .129 -.262 .001 -.065 -.259 .148 -.290 .860a -.205 -.018 -.123 -.053 -.051 .010 .027 VAR00013 -.127 .067 .013 -.235 .025 -.026 -.038 .022 -.072 -.049 -.017 -.205 .847a -.411 .117 .036 .022 .008 -.109 VAR00014 .106 -.119 .058 .150 -.182 -.036 -.039 -.131 .248 -.061 -.166 -.018 -.411 .774a -.113 -.056 .169 -.013 -.189 VAR00015 .026 -.150 -.018 -.036 .049 .015 .327 .076 .103 -.214 -.069 -.123 .117 -.113 .793a -.295 .003 -.412 -.050 VAR00016 -.002 .033 -.144 .085 -.054 -.001 -.186 .043 -.042 -.034 -.083 -.053 .036 -.056 -.295 .824a -.252 .235 -.328
77
VAR00017 .108 -.003 -.062 .094 -.413 .022 -.029 -.070 -.051 -.253 .137 -.051 .022 .169 .003 -.252 .772a -.141 -.024 VAR00018 -.094 .176 -.060 -.168 .092 -.099 -.321 -.103 -.089 .047 .068 .010 .008 -.013 -.412 .235 -.141 .738a -.354 VAR00019 .003 -.061 .214 -.086 .046 .006 .216 -.041 -.153 .075 .091 .027 -.109 -.189 -.050 -.328 -.024 -.354 .787a a. Measures of Sampling Adequacy(MSA)
78
Lampiran 6. Communalities
Communalities Initial Extraction VAR00001 1.000 .613 VAR00002 1.000 .510 VAR00003 1.000 .522 VAR00004 1.000 .524 VAR00005 1.000 .579 VAR00006 1.000 .470 VAR00007 1.000 .575 VAR00008 1.000 .512 VAR00009 1.000 .510 VAR00010 1.000 .737 VAR00011 1.000 .782 VAR00012 1.000 .543 VAR00013 1.000 .617 VAR00014 1.000 .619 VAR00015 1.000 .663 VAR00016 1.000 .629 VAR00017 1.000 .682 VAR00018 1.000 .624 VAR00019 1.000 .740 Extraction Method: Principal Component Analysis.79
Lampiran 7. Total Variance
Total Variance Explained
Component
Initial Eigenvalues
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative % 1 5.864 30.862 30.862 5.864 30.862 30.862 3.091 16.267 16.267 2 1.725 9.078 39.939 1.725 9.078 39.939 2.423 12.752 29.018 3 1.413 7.439 47.378 1.413 7.439 47.378 2.325 12.239 41.257 4 1.355 7.133 54.511 1.355 7.133 54.511 1.808 9.517 50.775 5 1.094 5.760 60.271 1.094 5.760 60.271 1.804 9.496 60.271 6 1.021 5.373 65.644 7 .931 4.903 70.546 8 .824 4.339 74.885 9 .777 4.090 78.975 10 .690 3.632 82.607 11 .561 2.954 85.561 12 .512 2.697 88.258 13 .445 2.340 90.598 14 .414 2.181 92.779 15 .376 1.979 94.758 16 .328 1.728 96.487 17 .254 1.334 97.821 18 .227 1.197 99.018 19 .187 .982 100.000
80
81
Lampiran 9. Component Matrix
Component Matrixa Component 1 2 3 4 5 VAR00001 .511 .279 .002 .146 -.502 VAR00002 .503 -.019 .057 -.138 -.484 VAR00003 .377 .393 .355 -.176 .262 VAR00004 .542 .466 -.091 .034 -.061 VAR00005 .468 .425 -.128 -.353 -.196 VAR00006 .373 .357 -.005 .240 .382 VAR00007 .327 .208 .564 .156 .287 VAR00008 .539 .424 -.021 .179 -.100 VAR00009 .631 -.028 .101 -.283 -.141 VAR00010 .656 -.443 .312 -.070 -.092 VAR00011 .647 -.409 .439 .065 .001 VAR00012 .695 -.113 .156 .135 .070 VAR00013 .619 .003 -.025 .468 -.119 VAR00014 .560 -.261 -.124 .469 -.041 VAR00015 .626 -.389 -.291 -.101 .157 VAR00016 .630 -.304 -.056 -.316 .193 VAR00017 .528 .094 -.057 -.611 .131 VAR00018 .587 .162 -.338 .114 .353 VAR00019 .564 -.138 -.628 .045 .079 Extraction Method: Principal Component Analysis.
82
Lampiran 10. Rotated Component Matrix
Rotated Component MatrixaComponent 1 2 3 4 5 VAR00001 .175 .062 .759 .015 .045 VAR00002 .376 -.006 .544 .228 -.146 VAR00003 .105 -.082 .133 .339 .609 VAR00004 -.017 .254 .541 .212 .349 VAR00005 -.055 .104 .519 .530 .123 VAR00006 -.039 .335 .124 -.009 .584 VAR00007 .305 -.144 .041 -.027 .677 VAR00008 .051 .228 .566 .060 .366 VAR00009 .440 .113 .330 .433 .079 VAR00010 .826 .097 .123 .167 .032 VAR00011 .856 .061 .084 .044 .191 VAR00012 .556 .297 .236 .071 .292 VAR00013 .382 .393 .459 -.249 .210 VAR00014 .463 .503 .254 -.293 .049 VAR00015 .464 .605 -.002 .272 -.087 VAR00016 .510 .380 -.037 .470 .044 VAR00017 .187 .180 .105 .766 .130 VAR00018 .053 .671 .151 .170 .344 VAR00019 .119 .798 .195 .176 -.138 Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 9 iterations.
