lampiran 1: kuesioner penelitian · 76 lampiran 1: kuesioner penelitian . kuesioner . analisa...

76

Lampiran 1: Kuesioner Penelitian

KUESIONER ANALISA PENGARUH FAKTOR PENDORONG DAN PENARIK WISATAWAN

DALAM MEMILIH JEPANG SEBAGAI DESTINASI WISATA : STUDI PADA MASYARAKAT SURABAYA

Dalam rangka menyusun Tugas Akhir atau Skripsi, saya, Magdalena Tenoyo, Mahasiswi Universitas Kristen Petra jurusan Manajemen Kepariwisataan melakukan penelitian “Analisa Faktor Pendorong dan Penarik Wisatawan Dalam Memilih Jepang Sebagai Destinasi Wisata : Studi Pada Masyarakat Surabaya”. Untuk itu, kami mengharapkan kesediaan Bapak/Ibu untuk berpartisipasi mengisi kuisioner ini sebagai data yang akan dipergunakan untuk penelitian ini. Kami akan menjamin kerahasiaan data yang Bapak/Ibu berikan karena jawaban tersebut hanya sebagai bahan penelitian dan tidak untuk dipublikasikan. Kami sangat berterimakasih atas partisipasi Bapak/Ibu. __________________________________________________________________ Petunjuk Pengisian: Berikan tanda (X) pada jawaban pilihan Anda 1. Jenis kelamin :

a. Pria b. Wanita

2. Usia Anda pada saat ini : a. 18 – 24 tahun b. 25 – 34 tahun c. 35 – 44 tahun b. 45 – 54 tahun e. Diatas 54 tahun

3. Apakah status pernikahan Anda? a. Belum Menikah b. Menikah 4. Household Income (pendapatan dalam rumah tangga) per bulan :

a. Rp 30 jt – Rp 50 jt c.Rp 70 jt – Rp 90 jt b. Rp 50 jt – Rp 70 jt d. Diatas Rp 90 jt

5. Dengan siapa Anda berlibur atau berencana berlibur ke Jepang? a. Keluarga c. Sendiri (sendirian) b. Teman d. Sendiri (dengan group tour)

(Keterangan: Jika Anda menjawab a, silahkan lanjut ke nomor 6. Jika Anda menjawab b,c,d, silahkan lanjut ke nomor 8.) 6. Keluarga yang berlibur dengan kami adalah:

a. Pasangan saja d. Anak saja b. Pasangan dan anak (keluarga inti) e. Sepupu, keponakan, paman, bibi c. Pasangan, anak dan orang tua (keluarga besar)

7. Berapa usia anak-anak Anda yang ikut berlibur dengan Anda? (Jika bepergian dengan anak, bisa memilih lebih dari 1; jika bepergian tanpa anak, silahkan lanjut ke nomor berikutnya)

a. 0 – 2 tahun d. 13 – 18 tahun b. 3 – 5 tahun e. 18 tahun ke atas c. 6 – 12 tahun

8. Kapan waktu yang dipilih untuk berlibur ke Jepang? a. Musim dingin (Des-Mar) c. Musim semi (Mar-Jun) b. Musim gugur (Sept-Des) d. Musim panas (Jun-Sept)

Petunjuk pengisian : Di bawah ini adalah daftar pertanyaan mengenai apa yang mendorong anda untuk berlibur ke Jepang bersama keluarga. Pilihlah jawaban yang anda anggap paling sesuai menurut anda, dengan cara memberi tanda (√) pada kolom jawaban yang telah tersedia.

petra.ac.id

http://dewey.petra.ac.id/dgt_directory.php?display=classification

http://digilib.petra.ac.id/help.html

77

Lampiran 1: Kuesioner Penelitian (Lanjutan) STS = Sangat tidak setuju TS = Tidak Setuju N = Netral S = Setuju SS = Sangat setuju

a. Alasan apa yang mendorong Anda untuk pergi berlibur ke Jepang? No Atribut Pengamatan Push Factor STS TS N S SS 1. Kami ingin melepaskan diri dari kegiatan rutin sehari-hari

dan melakukan kegiatan yang sifatnya menghilangkan stress

2. Keluarga kami ingin menikmati quality time bersama dan / atau menyenangkan anak-anak (khusus untuk wisatawan keluarga)

3. Berlibur ke Jepang dapat memberikan prestise sendiri karena Jepang merupakan negara yang prestius

4. Kami ingin memperoleh teman baru melalui perjalanan ini 5. Kami berlibur ke Jepang untuk mempererat tali pernikahan

kami (contoh: bulan madu) (khusus untuk wisatawan keluarga)

6. Kami ingin memperoleh pengetahuan dan wawasan tentang Jepang

7. Berlibur ke Jepang merupakan impian kami 8. Kami ingin memperoleh pengalaman baru dengan mencoba

hal baru

b. Kami memilih berlibur ke Jepang karena…

No Atribut Pengamatan Pull Factor STS TS N S SS 1. Dapat merasakan musim yang tidak ada di

Indonesia seperti musim salju, musim semi dan musim gugur

2. Cuaca yang tidak ekstrim dan udara yang bersih 3. Terdapat banyak bangunan bersejarah di Jepang

seperti Imperial Palace yang merupakan istana kaisar Jepang, juga Istana Kekaisaran Kyoto yang dikenal sebagai puncak arsitektur Jepang.

4. Jepang memiliki museum bersejarah yang tidak hanya akan menambah pengetahuan Anda tentang Jepang di masa lalu, tetapi juga di masa mendatang yang menyangkut hal pendidikan, transportasi, ilmu pengetahuan, dan politik (Museum Edo-Tokyo, Museum Nasional Tokyo).

5. Terdapat Gunung Fuji yang merupakan landmark negara Jepang serta danau Kawaguchi dan Yamanaka yang terletak di kaki Gunung Fuji.

6. Jepang memiliki banyak taman yang indah seperti Ueno Park, tempat melakukan piknik sambil menikmati bunga sakura, serta Biei yang merupakan bukit bunga.

7. Jepang memiliki Shibuya dan Harajuku yang merupakan pusat budaya anak muda dan Arashiyama di mana terdapat geisha

78

Lampiran 1: Kuesioner Penelitian (Lanjutan) 8. Jepang memiliki banyak kuil yang dapat dikunjungi oleh

wisatawan, seperti Golden Pavilion, Asakusa Temple serta Kyumizu Temple, serta terdapat Nikko Edo Village (desa yang menampilkan kebudayaan khas Jepang).

9. Jepang memiliki banyak destinasi belanja seperti Shinjuku, Harajuku dan Ginza

10. Jepang memiliki pasar tradisional yang sangat terkenal, Nishiki market yang menjual berbagai bahan makanan serta suvenir khas Jepang

11. Jepang memiliki event olahraga seperti Tokyo Sumo Wrestling Tournament dan Tokyo Marathon

12. Jepang memiliki berbagai festival seperti festival bunga sakura dan festival salju

13. Jepang memiliki banyak theme park seperti Tokyo Disneyland, Tokyo Disneysea, Tokyo Summerland and Yomuriland, Sanrio dan Universal Studio Osaka.

14. Terdapat taman bermain anak-anak seperti Fuji-Q Highland, bermain di Fujiyoshida, Yamanashi, Jepang yang terletak dekat Gunung Fuji.

15. Jepang memiliki citra sebuah negara maju yang disiplin. 16. Jepang memiliki citra sebagai negara dengan budaya

tradisional yang kental meskipun budaya modern telah memasuki Jepang

17. Kemudahan mengurus visa ke Jepang 18. Jarak yang tidak terlalu jauh dengan Indonesia

Terima kasih atas partisipasi Anda

79

Lampiran 2 : Data Penelitian

Jenis

kelamin

Usia pada

saat ini Status Household

income

Berlibur dgn

siapa

Waktu berlibur No

1 2 1 1 2 2 3 2 1 2 1 2 3 2 3 2 3 2 2 2 3 4 2 1 1 1 2 3 5 1 3 2 3 3 4 6 1 4 2 3 4 1 7 1 2 2 1 3 3 8 1 1 1 2 2 2 9 2 2 1 1 4 4 10 1 1 1 1 3 3 11 2 1 1 4 2 3 12 2 2 1 1 2 1 13 2 2 1 1 2 1 14 2 2 1 2 2 2 15 2 2 1 1 2 2 16 1 3 2 1 2 3 17 1 3 2 1 4 3 18 1 2 1 4 3 2 19 1 2 2 1 3 1 20 2 2 1 1 2 3 21 2 1 1 3 2 2 22 2 2 1 1 2 3 23 2 2 1 1 4 1 24 2 1 1 1 3 1 25 2 1 1 1 2 2 26 2 1 1 1 2 2 27 2 2 1 1 3 3 28 2 1 1 2 2 2 29 1 1 1 3 2 1 30 2 1 1 4 2 2 31 1 1 1 2 2 2 32 2 1 1 1 2 3 33 2 1 1 1 2 1 34 2 1 1 1 2 3 35 1 1 1 3 3 1 36 1 1 1 2 2 4 37 2 1 1 1 2 1 38 2 1 1 1 2 1 39 2 1 1 2 4 1 40 2 1 1 3 2 2 41 2 1 1 1 2 2 42 2 1 1 1 3 3 43 2 1 1 1 2 3 44 2 1 1 1 2 2 45 2 1 1 1 2 2

80

Lmpiran 2 : Data Penelitian (Lanjutan)

46 1 1 1 1 2 3 47 2 2 1 1 2 2 48 2 1 1 2 2 3 49 2 1 1 1 2 2 50 1 1 1 1 4 4 51 1 1 1 1 2 4 52 2 4 2 4 2 3 53 1 1 1 4 2 3 54 2 1 1 1 2 3 55 2 1 1 1 2 3 56 2 1 1 1 2 1 57 2 1 1 3 2 1 58 1 2 2 2 2 3 59 1 3 2 4 2 1 60 2 3 1 4 2 3 61 2 3 1 4 2 3 62 2 2 1 3 4 1 63 2 2 1 3 3 2 64 1 1 1 3 3 2 65 1 1 1 4 2 2 66 1 3 2 3 2 1 67 1 3 2 4 2 3 68 2 4 2 3 2 3 69 1 4 2 4 2 3 70 2 3 2 4 4 1 71 2 2 2 4 2 2 72 1 4 2 3 2 4 73 1 1 1 2 2 2 74 1 1 1 1 2 2 75 2 4 1 3 2 3 76 2 1 1 2 2 1 77 1 2 1 3 3 4 78 1 4 2 4 3 3 79 1 3 2 3 4 4 80 2 3 2 4 2 3 81 2 2 1 3 2 3 82 2 2 2 3 3 2 83 2 2 2 2 3 1 84 1 1 1 2 2 1 85 1 2 1 3 2 1 86 2 2 2 4 2 3 87 1 1 1 2 2 3 88 1 1 1 1 2 1 89 2 1 2 2 2 3 90 2 2 1 3 3 1 91 1 1 1 2 2 1 92 1 2 2 3 2 3 93 1 2 2 4 3 3

81

Lmpiran 2 : Data Penelitian (Lanjutan)

94 2 1 1 3 4 2 95 2 2 1 2 2 3 96 1 2 1 4 3 2 97 1 1 1 3 2 2 98 2 1 1 1 2 2 99 1 2 2 2 2 3 100 2 1 1 3 2 1

82

Lampiran 2 : Data Penelitian (Lanjutan)

PUSH FACTOR PULL FACTOR

X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23

4 4 3 2 4 4 2 3 2 4 5 4 3 3 3 2 3 5 5 4 4 3 4

4 5 4 4 5 4 2 4 4 5 4 5 4 4 4 3 4 5 5 4 4 4 4

5 5 4 4 4 4 3 5 5 4 4 5 5 5 5 4 5 4 4 5 4 4 4

3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 3 4 3 3 3 3 3 3

4 4 4 5 4 4 4 5 5 5 5 5 5 4 5 5 5 5 5 4 4 5 5

4 5 4 5 3 4 4 5 4 4 5 4 4 4 3 3 5 5 4 5 4 4 5

4 4 4 2 5 4 3 4 3 3 4 4 3 4 3 4 4 4 3 4 4 3 3

4 5 4 4 5 5 5 5 4 4 5 5 4 5 5 5 5 5 5 5 4 4 4

3 3 3 4 4 2 3 4 3 3 3 2 3 2 3 2 4 4 4 3 3 3 3

4 4 4 2 3 4 1 5 4 4 5 5 4 4 5 3 5 5 5 4 4 3 3

5 3 2 4 5 5 4 4 4 4 5 5 4 5 4 4 4 5 5 4 4 5 4

5 4 5 4 5 5 4 5 5 5 5 3 5 4 3 4 5 5 5 4 4 3 3

5 4 4 4 5 5 4 4 4 5 5 5 4 5 5 4 5 5 5 5 5 4 4

5 3 4 3 5 4 3 5 5 5 5 3 4 4 3 4 4 4 4 5 5 4 4

5 3 4 4 5 4 4 4 3 4 4 4 4 4 4 3 4 4 3 4 4 3 3

5 1 2 3 5 3 3 5 5 5 5 4 5 4 4 4 5 3 2 2 2 2 1

5 3 2 5 5 5 2 4 5 5 4 3 3 2 2 3 3 5 5 4 5 1 1

3 4 4 1 3 5 2 1 1 1 1 1 2 1 2 1 1 2 1 5 4 2 1

3 1 1 2 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 3 3

5 3 3 4 5 5 2 4 3 4 4 3 4 4 4 3 4 4 4 4 4 3 3

5 4 5 2 5 3 4 4 3 3 4 5 4 5 5 3 4 5 4 3 3 3 3

4 4 4 3 5 4 4 4 4 4 4 4 4 4 4 3 4 4 4 3 4 3 3

5 5 5 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 3

5 4 5 4 5 5 1 5 4 5 5 4 4 4 4 4 4 4 4 5 4 3 3

4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4

5 4 3 3 4 5 4 3 3 4 4 3 4 4 4 3 5 5 5 5 5 4 4

4 4 4 4 5 5 4 3 4 4 5 5 4 3 4 3 5 5 4 5 5 4 5

5 4 5 2 5 5 4 4 4 5 5 5 5 5 5 4 5 5 4 5 5 5 4

5 4 4 4 5 4 4 4 4 4 4 4 4 5 4 4 4 5 4 4 5 4 4

4 4 4 1 5 4 2 5 5 5 5 4 4 5 4 4 4 5 5 4 4 4 4

5 3 3 1 4 3 2 4 4 4 4 4 4 4 4 4 4 3 4 3 4 4 3

5 4 3 2 4 5 4 4 4 4 4 4 4 4 4 4 4 5 5 4 4 4 4

4 3 3 4 4 4 4 3 3 4 4 5 4 4 5 5 4 3 4 4 3 5 5

4 4 4 3 4 4 3 3 4 4 4 3 4 4 4 5 5 3 4 4 3 3 4

4 3 4 2 5 4 3 4 5 4 4 4 4 5 5 3 5 5 5 5 5 4 3

4 4 4 5 4 3 4 3 4 4 5 4 5 4 4 5 5 5 4 4 3 4 4

5 2 3 1 4 2 4 3 1 4 3 4 3 3 3 3 4 2 1 3 3 3 2

4 3 4 4 5 3 3 3 4 4 4 4 3 4 4 3 4 5 4 4 3 3 5

3 3 4 4 4 4 3 3 3 3 3 3 4 3 4 3 4 4 3 4 4 3 3

5 2 3 1 5 3 2 5 4 4 4 4 4 5 5 4 5 5 5 3 3 3 3

5 3 3 4 4 5 4 4 4 4 4 4 4 5 4 4 4 4 4 5 5 4 4

4 4 5 3 5 5 4 4 4 4 4 4 4 5 4 4 5 5 4 5 4 3 3

4 5 4 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 2 4

5 3 3 4 5 5 4 3 4 4 4 4 3 5 3 3 3 4 5 4 4 4 3

5 2 3 2 5 5 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3

83


5 3 4 3 5 4 3 4 3 4 4 5 4 5 3 3 3 3 3 5 5 2 4

4 5 4 2 5 5 1 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5

5 4 5 2 5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 3 2

5 4 4 4 4 4 4 4 4 5 5 5 5 5 5 4 4 5 5 4 4 2 2

5 5 5 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5

4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2

5 2 2 4 5 4 4 4 4 3 4 5 4 4 4 4 5 5 4 4 4 4 3

5 4 3 3 5 5 3 4 4 5 4 4 4 4 4 3 4 4 3 5 5 3 3

5 5 4 2 4 5 5 5 4 4 5 5 4 5 5 4 5 5 4 4 5 5 4

5 3 3 2 5 5 3 4 4 4 4 4 4 5 4 3 5 3 3 4 5 3 4

5 3 3 1 5 5 2 5 5 5 5 5 5 5 5 5 5 5 5 5 4 2 1

3 3 3 2 4 5 1 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 4

4 4 3 5 5 4 4 4 3 5 5 5 4 5 5 5 4 4 3 3 4 3 3

5 5 4 3 5 4 5 4 4 5 5 5 4 5 3 3 3 4 4 5 4 5 3

4 5 5 2 4 4 3 4 4 5 5 4 4 5 4 4 3 4 4 4 3 5 4

4 5 4 2 5 4 3 3 4 4 4 5 5 4 5 5 4 4 5 4 4 3 3

4 5 4 3 4 5 3 3 4 3 5 5 4 4 4 5 4 4 4 4 4 4 4

5 4 4 4 4 5 4 4 4 5 4 4 3 3 5 4 4 4 4 4 5 4 4

5 5 4 4 5 5 2 5 5 5 5 5 5 4 4 5 4 4 4 4 3 4 4

5 4 4 4 5 5 3 3 4 3 4 4 4 4 5 4 5 5 4 5 4 5 3

4 4 4 2 4 4 4 4 4 4 5 4 4 5 4 4 3 4 4 3 5 4 3

4 4 4 4 5 5 2 4 5 5 5 5 4 4 4 4 5 4 5 5 4 4 4

4 4 4 3 3 4 5 4 4 5 4 4 4 3 4 4 3 4 4 3 4 3 3

5 4 4 4 4 4 4 4 4 4 4 5 4 3 3 3 3 4 4 3 4 4 2

5 4 4 4 5 4 4 5 4 4 5 5 5 5 4 4 4 3 3 4 4 3 2

4 5 5 3 4 4 3 4 3 4 3 4 4 4 5 4 5 4 5 5 4 4 3

4 5 5 1 4 4 2 5 5 5 4 4 3 3 3 3 3 4 3 5 4 4 4

4 5 5 3 4 4 3 5 5 4 5 4 3 4 5 5 4 5 3 4 3 4 3

4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 4 4 4 4

5 5 5 4 5 4 3 4 4 4 3 4 3 3 3 3 3 3 3 3 3 3 3

4 5 5 4 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4

4 3 3 2 4 3 3 3 4 4 5 4 4 4 3 4 4 4 4 4 3 4 5

5 5 5 3 5 5 5 5 4 4 4 5 5 5 5 5 4 4 4 5 5 5 3

4 5 5 2 4 5 2 5 4 4 4 4 5 5 5 5 5 4 4 4 4 4 5

4 4 5 3 4 5 4 5 4 4 4 3 3 3 4 4 3 4 5 5 4 4 4

4 4 4 4 5 4 4 5 4 3 4 4 4 5 5 4 4 4 5 4 4 4 4

4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 5 5 4 5 4 4 4 3

5 5 5 2 4 4 3 5 5 4 4 4 4 3 4 4 4 4 5 5 4 4 3

5 5 5 2 4 4 1 5 4 4 5 4 4 4 4 4 5 5 4 5 4 3 4

4 4 4 5 4 4 4 5 4 4 5 4 4 4 5 5 5 4 4 4 5 4 3

4 4 4 3 5 5 4 4 5 4 3 4 4 3 3 3 4 4 5 5 4 4 3

4 4 5 4 5 4 4 4 5 5 5 3 3 4 4 3 4 3 4 5 5 4 3

4 4 4 4 4 4 3 5 5 4 4 4 4 5 5 4 5 4 4 5 5 4 3

4 4 5 4 4 5 5 5 5 5 4 4 4 5 4 5 5 4 4 4 5 3 2

4 5 5 2 4 4 2 3 4 4 4 4 5 4 5 4 4 4 5 5 5 5 4

4 4 4 3 4 4 3 4 4 4 4 5 5 4 4 4 4 5 5 4 5 4 5

5 5 5 2 4 5 2 5 4 5 5 5 4 4 4 5 4 4 4 5 4 4 4

5 4 4 4 5 4 4 4 4 5 5 4 3 3 3 4 3 5 4 4 3 3 2

84


5 4 4 4 5 4 4 3 4 4 5 4 4 4 5 4 5 4 4 5 5 4 3

4 4 5 2 4 5 3 4 3 4 4 4 5 4 4 5 5 4 5 4 5 3 3

4 4 4 1 5 5 2 5 5 5 4 4 5 5 5 4 5 4 4 4 5 5 4

4 4 5 1 4 5 1 5 4 4 4 5 5 5 5 4 4 4 4 5 4 4 3

5 5 5 4 5 5 4 4 4 5 5 5 4 4 5 5 4 4 4 5 4 3 3

5 5 5 3 5 5 5 4 3 3 3 4 4 4 5 5 5 5 4 4 4 4 5

5 4 4 2 5 4 3 4 4 5 5 5 4 5 4 5 4 5 4 4 5 4 4

85

Lampiran 3 : Uji Validitas

Correlations

.317**

.001100.508**.000100.421**.000100.204*.042100.364**.000100.526**.000100.240*.016100.589**.000100.645**.000100.574**.000100.665**.000100.641**.000100.635**.000100.660**.000100.634**.000100.671**.000100.601**.000100.603**.000100.613**.000100.487**.000100.450**.000100.495**.000100.438**.000100

Pearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)N

X1

X2

X3

X4

X5

X6

X7

X8

X9

X10

X11

X12

X13

X14

X15

X16

X17

X18

X19

X20

X21

X22

X23

Total X

Correlation is s ignificant at the 0.01 level(2 t il d)

**.

Correlation is s ignificant at the 0.05 level (2-tai led).*.

86

Lampiran 4: Uji Reliabilitas

Reliability Statistics

.868 23

Cronbach'sAlpha N of Items

Item Statistics

4.41 .605 1003.94 .897 1003.97 .846 1003.01 1.124 1004.48 .594 1004.30 .718 1003.30 1.059 1004.15 .783 1004.03 .797 1004.21 .715 1004.31 .720 1004.22 .746 1004.08 .662 1004.17 .817 1004.16 .775 1003.96 .852 1004.24 .767 1004.26 .733 1004.15 .833 1004.26 .719 1004.17 .711 1003.67 .842 1003.42 .934 100

X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23

Mean Std. Deviation N

87

Lampiran 5 : Tabel Frekuensi Profil Responden

Jenis Kelamin

41 41.0 41.0 41.059 59.0 59.0 100.0

100 100.0 100.0

PriaWanitaTotal

ValidFrequency Percent Valid Percent

CumulativePercent

Usia

51 51.0 51.0 51.030 30.0 30.0 81.012 12.0 12.0 93.0

7 7.0 7.0 100.0100 100.0 100.0

18-24 tahun25-34 tahun35-44 tahun45-54 tahunTotal


CumulativePercent

Status Pernikahan

73 73.0 73.0 73.027 27.0 27.0 100.0

100 100.0 100.0

Belum MenikahMenikahTotal


CumulativePercent

Household Income Per Bulan

38 38.0 38.0 38.020 20.0 20.0 58.024 24.0 24.0 82.018 18.0 18.0 100.0

100 100.0 100.0

Rp 30 jt - Rp 50 jtRp 50 jt - Rp 70 jtRp 70 jt - Rp 90 jt> Rp 90 jtTotal


CumulativePercent

Teman Berlibur a tau Berencana Berlibur ke Jepang

71 71.0 71.0 71.019 19.0 19.0 90.010 10.0 10.0 100.0

100 100.0 100.0

TemanSendiri (sendirian)Sendiri (dengan group tour)Total


CumulativePercent

Waktu yang Dipilih untuk Berlibur ke Jepang

26 26.0 26.0 26.028 28.0 28.0 54.038 38.0 38.0 92.0

8 8.0 8.0 100.0100 100.0 100.0

Musim dingin (Des-Mar)Musim gugur (Sept-Des)Musim semi (Mar-Jun)Musim panas (Jun-Sept)Total


CumulativePercent

88

Lampiran 6 : Tabel Frekuensi Jawaban Responden

X1

6 6.0 6.0 6.047 47.0 47.0 53.047 47.0 47.0 100.0

100 100.0 100.0

345Total


CumulativePercent

X2

2 2.0 2.0 2.04 4.0 4.0 6.0

19 19.0 19.0 25.048 48.0 48.0 73.027 27.0 27.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X3

1 1.0 1.0 1.04 4.0 4.0 5.0

19 19.0 19.0 24.049 49.0 49.0 73.027 27.0 27.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X4

9 9.0 9.0 9.029 29.0 29.0 38.020 20.0 20.0 58.036 36.0 36.0 94.0

6 6.0 6.0 100.0100 100.0 100.0

12345Total


CumulativePercent

X5

5 5.0 5.0 5.042 42.0 42.0 47.053 53.0 53.0 100.0

100 100.0 100.0

345Total


CumulativePercent

89

Lampiran 6 : Tabel Frekuensi Jawaban Responden (Lanjutan)

X6

2 2.0 2.0 2.09 9.0 9.0 11.0

46 46.0 46.0 57.043 43.0 43.0 100.0

100 100.0 100.0

2345Total


CumulativePercent

X7

6 6.0 6.0 6.017 17.0 17.0 23.028 28.0 28.0 51.039 39.0 39.0 90.010 10.0 10.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X8

1 1.0 1.0 1.018 18.0 18.0 19.045 45.0 45.0 64.036 36.0 36.0 100.0

100 100.0 100.0

1345Total


CumulativePercent

X9

2 2.0 2.0 2.01 1.0 1.0 3.0

15 15.0 15.0 18.056 56.0 56.0 74.026 26.0 26.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X10

1 1.0 1.0 1.011 11.0 11.0 12.053 53.0 53.0 65.035 35.0 35.0 100.0

100 100.0 100.0

1345Total


CumulativePercent

90


X11

1 1.0 1.0 1.09 9.0 9.0 10.0

47 47.0 47.0 57.043 43.0 43.0 100.0

100 100.0 100.0

1345Total


CumulativePercent

X12

1 1.0 1.0 1.01 1.0 1.0 2.0

10 10.0 10.0 12.051 51.0 51.0 63.037 37.0 37.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X13

1 1.0 1.0 1.015 15.0 15.0 16.059 59.0 59.0 75.025 25.0 25.0 100.0

100 100.0 100.0

2345Total


CumulativePercent

X14

1 1.0 1.0 1.02 2.0 2.0 3.0

14 14.0 14.0 17.045 45.0 45.0 62.038 38.0 38.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X15

2 2.0 2.0 2.017 17.0 17.0 19.044 44.0 44.0 63.037 37.0 37.0 100.0

100 100.0 100.0

2345Total


CumulativePercent

91


X16

1 1.0 1.0 1.02 2.0 2.0 3.0

26 26.0 26.0 29.042 42.0 42.0 71.029 29.0 29.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X17

1 1.0 1.0 1.014 14.0 14.0 15.044 44.0 44.0 59.041 41.0 41.0 100.0

100 100.0 100.0

1345Total


CumulativePercent

X18

2 2.0 2.0 2.011 11.0 11.0 13.046 46.0 46.0 59.041 41.0 41.0 100.0

100 100.0 100.0

2345Total


CumulativePercent

X19

2 2.0 2.0 2.01 1.0 1.0 3.0

13 13.0 13.0 16.048 48.0 48.0 64.036 36.0 36.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X20

1 1.0 1.0 1.013 13.0 13.0 14.045 45.0 45.0 59.041 41.0 41.0 100.0

100 100.0 100.0

2345Total


CumulativePercent

92


X21

1 1.0 1.0 1.015 15.0 15.0 16.050 50.0 50.0 66.034 34.0 34.0 100.0

100 100.0 100.0

2345Total


CumulativePercent

X22

1 1.0 1.0 1.06 6.0 6.0 7.0

33 33.0 33.0 40.045 45.0 45.0 85.015 15.0 15.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

X23

4 4.0 4.0 4.08 8.0 8.0 12.0

41 41.0 41.0 53.036 36.0 36.0 89.011 11.0 11.0 100.0

100 100.0 100.0

12345Total


CumulativePercent

93

Lampiran 7 : Deskriptif Statistik Jawaban Responden

Descriptive Statistics

100 3 5 4.41 .605100 1 5 3.94 .897100 1 5 3.97 .846100 1 5 3.01 1.124100 3 5 4.48 .594100 2 5 4.30 .718100 1 5 3.30 1.059100 1 5 4.15 .783100 1 5 4.03 .797100 1 5 4.21 .715100 1 5 4.31 .720100 1 5 4.22 .746100 2 5 4.08 .662100 1 5 4.17 .817100 2 5 4.16 .775100 1 5 3.96 .852100 1 5 4.24 .767100 2 5 4.26 .733100 1 5 4.15 .833100 2 5 4.26 .719100 2 5 4.17 .711100 1 5 3.67 .842100 1 5 3.42 .934100

X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23Valid N (listwise)

N Minimum Maximum Mean Std. Deviation

94

Lampiran 8 : Analisis Faktor Putaran 1

KMO and Bartlett's Test

.801

1026.467253.000

Kaiser-Meyer-Olkin Measure of SamplingAdequacy.

Approx. Chi-SquaredfSig.

Bartlet t's Test ofSphericity

Anti-image Matrices

.619 .010 .009 .045 -.202 -.076 -.110 -.085 .090 -.067 -.039 -.066 -.008 .007 .049 .033 -.026 -.020 .035 -.015 .036 -.076 .118

.010 .309 -.225 -.044 .076 -.083 -.028 -.001 -.008 .021 -.020 -.078 .001 .038 -.006 -.009 .062 -.025 -.023 -.013 .021 -.012 -.070

.009 -.225 .347 .074 -.058 .056 -.056 -.073 .020 -.030 .027 .086 -.026 .001 -.045 -.019 .009 .007 .038 -.100 .031 -.001 .026

.045 -.044 .074 .724 -.085 -.033 -.279 .011 -.040 .002 -.081 .011 .012 .107 -.021 .040 -.054 .010 -.001 -.014 .072 .042 -.032-.202 .076 -.058 -.085 .600 -.070 .010 .093 -.097 -.042 .038 -.048 .052 -.127 .018 .027 -.010 -.048 .020 -.003 .020 .056 .001-.076 -.083 .056 -.033 -.070 .449 .039 -.011 -.002 -.002 .049 .027 -.022 .005 .002 -.109 .051 -.029 -.014 -.160 -.170 .024 .023-.110 -.028 -.056 -.279 .010 .039 .653 .079 .023 .017 .051 -.023 .068 -.090 .061 -.102 -.031 -.032 .014 .110 -.137 -.088 .072-.085 -.001 -.073 .011 .093 -.011 .079 .431 -.168 -.054 .004 -.013 .027 -.084 .001 -.017 -.052 -.032 .033 .063 -.011 .036 .025.090 -.008 .020 -.040 -.097 -.002 .023 -.168 .358 -.104 -.027 .039 -.041 .017 .038 -.032 -.027 .000 -.076 -.042 .008 -.099 .074

-.067 .021 -.030 .002 -.042 -.002 .017 -.054 -.104 .398 -.161 -.034 -.022 .046 .010 -.014 .043 .063 -.043 .024 -.065 .057 -.033-.039 -.020 .027 -.081 .038 .049 .051 .004 -.027 -.161 .350 -.069 .026 -.086 .051 -.080 -.009 -.110 .039 -.034 .014 -.010 -.008-.066 -.078 .086 .011 -.048 .027 -.023 -.013 .039 -.034 -.069 .413 -.116 -.060 -.093 -.023 .079 -.037 .025 -.016 .036 -.020 -.029-.008 .001 -.026 .012 .052 -.022 .068 .027 -.041 -.022 .026 -.116 .401 -.087 .002 -.067 -.129 .047 -.052 .044 -.033 .015 .031.007 .038 .001 .107 -.127 .005 -.090 -.084 .017 .046 -.086 -.060 -.087 .367 -.100 .010 .005 .029 .002 -.005 -.046 -.017 -.054.049 -.006 -.045 -.021 .018 .002 .061 .001 .038 .010 .051 -.093 .002 -.100 .365 -.100 -.140 -.020 -.023 .022 -.037 -.079 .074.033 -.009 -.019 .040 .027 -.109 -.102 -.017 -.032 -.014 -.080 -.023 -.067 .010 -.100 .413 -.061 .068 -.031 .056 .091 -.008 -.020

-.026 .062 .009 -.054 -.010 .051 -.031 -.052 -.027 .043 -.009 .079 -.129 .005 -.140 -.061 .394 -.087 .026 -.077 -.003 .050 -.095-.020 -.025 .007 .010 -.048 -.029 -.032 -.032 .000 .063 -.110 -.037 .047 .029 -.020 .068 -.087 .418 -.231 .017 .004 .049 -.055.035 -.023 .038 -.001 .020 -.014 .014 .033 -.076 -.043 .039 .025 -.052 .002 -.023 -.031 .026 -.231 .436 -.021 -.030 -.034 -.023

-.015 -.013 -.100 -.014 -.003 -.160 .110 .063 -.042 .024 -.034 -.016 .044 -.005 .022 .056 -.077 .017 -.021 .451 -.145 -.044 -.017.036 .021 .031 .072 .020 -.170 -.137 -.011 .008 -.065 .014 .036 -.033 -.046 -.037 .091 -.003 .004 -.030 -.145 .535 -.016 -.005

-.076 -.012 -.001 .042 .056 .024 -.088 .036 -.099 .057 -.010 -.020 .015 -.017 -.079 -.008 .050 .049 -.034 -.044 -.016 .557 -.263.118 -.070 .026 -.032 .001 .023 .072 .025 .074 -.033 -.008 -.029 .031 -.054 .074 -.020 -.095 -.055 -.023 -.017 -.005 -.263 .540.691a .024 .020 .067 -.332 -.143 -.173 -.164 .191 -.136 -.084 -.131 -.017 .014 .104 .066 -.053 -.040 .068 -.029 .062 -.129 .204.024 .697a -.687 -.092 .176 -.223 -.063 -.002 -.024 .059 -.062 -.219 .001 .114 -.019 -.024 .176 -.068 -.062 -.034 .051 -.028 -.172.020 -.687 .622a .148 -.128 .141 -.117 -.188 .057 -.080 .077 .227 -.069 .004 -.127 -.050 .023 .018 .099 -.253 .071 -.003 .059.067 -.092 .148 .414a -.128 -.058 -.406 .020 -.079 .004 -.161 .019 .023 .208 -.041 .074 -.101 .018 -.002 -.024 .115 .066 -.051

-.332 .176 -.128 -.128 .707a -.136 .016 .183 -.209 -.085 .082 -.096 .106 -.270 .038 .054 -.021 -.096 .039 -.006 .036 .098 .002-.143 -.223 .141 -.058 -.136 .786a .073 -.026 -.006 -.004 .125 .062 -.053 .012 .005 -.252 .121 -.068 -.033 -.356 -.347 .048 .047-.173 -.063 -.117 -.406 .016 .073 .369a .149 .048 .033 .107 -.045 .133 -.185 .126 -.197 -.061 -.062 .027 .204 -.232 -.147 .122-.164 -.002 -.188 .020 .183 -.026 .149 .851a -.426 -.130 .011 -.032 .065 -.210 .003 -.041 -.126 -.075 .075 .143 -.023 .073 .051.191 -.024 .057 -.079 -.209 -.006 .048 -.426 .839a -.277 -.077 .102 -.109 .047 .105 -.084 -.071 -.001 -.193 -.105 .018 -.221 .167

-.136 .059 -.080 .004 -.085 -.004 .033 -.130 -.277 .843a -.430 -.084 -.056 .119 .026 -.035 .109 .155 -.104 .058 -.141 .122 -.070-.084 -.062 .077 -.161 .082 .125 .107 .011 -.077 -.430 .845a -.181 .068 -.240 .144 -.212 -.023 -.289 .100 -.085 .032 -.022 -.019-.131 -.219 .227 .019 -.096 .062 -.045 -.032 .102 -.084 -.181 .865a -.286 -.154 -.240 -.055 .195 -.090 .060 -.037 .077 -.042 -.061-.017 .001 -.069 .023 .106 -.053 .133 .065 -.109 -.056 .068 -.286 .885a -.226 .006 -.164 -.324 .116 -.125 .103 -.070 .031 .066.014 .114 .004 .208 -.270 .012 -.185 -.210 .047 .119 -.240 -.154 -.226 .863a -.275 .025 .014 .073 .004 -.012 -.105 -.037 -.121.104 -.019 -.127 -.041 .038 .005 .126 .003 .105 .026 .144 -.240 .006 -.275 .847a -.258 -.368 -.052 -.058 .055 -.085 -.175 .166.066 -.024 -.050 .074 .054 -.252 -.197 -.041 -.084 -.035 -.212 -.055 -.164 .025 -.258 .881a -.150 .164 -.072 .129 .193 -.016 -.043

-.053 .176 .023 -.101 -.021 .121 -.061 -.126 -.071 .109 -.023 .195 -.324 .014 -.368 -.150 .818a -.213 .062 -.182 -.006 .106 -.206-.040 -.068 .018 .018 -.096 -.068 -.062 -.075 -.001 .155 -.289 -.090 .116 .073 -.052 .164 -.213 .795a -.541 .039 .008 .102 -.115.068 -.062 .099 -.002 .039 -.033 .027 .075 -.193 -.104 .100 .060 -.125 .004 -.058 -.072 .062 -.541 .845a -.047 -.062 -.069 -.046

-.029 -.034 -.253 -.024 -.006 -.356 .204 .143 -.105 .058 -.085 -.037 .103 -.012 .055 .129 -.182 .039 -.047 .786a -.295 -.087 -.034.062 .051 .071 .115 .036 -.347 -.232 -.023 .018 -.141 .032 .077 -.070 -.105 -.085 .193 -.006 .008 -.062 -.295 .773a -.029 -.009

-.129 -.028 -.003 .066 .098 .048 -.147 .073 -.221 .122 -.022 -.042 .031 -.037 -.175 -.016 .106 .102 -.069 -.087 -.029 .759a -.480.204 -.172 .059 -.051 .002 .047 .122 .051 .167 -.070 -.019 -.061 .066 -.121 .166 -.043 -.206 -.115 -.046 -.034 -.009 -.480 .711a

X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23X1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23

Anti-imageCovariance

Anti-imageCorrelation

X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23

Measures of Sampling Adequacy(MSA)a.

95

Lampiran 8 : Analisis Faktor (Lanjutan)

Communalities

1.000 .6751.000 .8431.000 .8191.000 .7361.000 .5891.000 .7091.000 .7371.000 .6671.000 .7101.000 .7231.000 .7231.000 .6581.000 .6911.000 .7311.000 .7591.000 .6681.000 .7091.000 .6221.000 .6771.000 .7201.000 .6741.000 .6701.000 .756


Initial Extraction

Extraction Method: Principal Component Analysis.

96


Total Variance Explained

6.904 30.019 30.019 6.904 30.019 30.019 3.687 16.029 16.0292.210 9.609 39.627 2.210 9.609 39.627 3.138 13.644 29.6731.871 8.135 47.763 1.871 8.135 47.763 2.342 10.180 39.8531.518 6.602 54.365 1.518 6.602 54.365 1.906 8.287 48.1411.374 5.974 60.339 1.374 5.974 60.339 1.888 8.210 56.3511.337 5.813 66.152 1.337 5.813 66.152 1.862 8.096 64.4471.051 4.569 70.721 1.051 4.569 70.721 1.443 6.274 70.721

.837 3.639 74.359

.719 3.124 77.483

.689 2.997 80.481

.566 2.459 82.940

.561 2.439 85.378

.479 2.083 87.461

.439 1.909 89.371

.431 1.872 91.243

.373 1.623 92.866

.318 1.384 94.250

.298 1.295 95.545

.261 1.134 96.679

.224 .974 97.653

.203 .881 98.534

.174 .758 99.292

.163 .708 100.000

Component1234567891011121314151617181920212223

Total% of

VarianceCumulative

% Total% of

VarianceCumulative

% Total% of

VarianceCumulative

%

Initial EigenvaluesExtraction Sums of Squared

LoadingsRotation Sums of Squared

Loadings

Extraction Method: Principal Component Analys is.

97


Component Matrix a

.298 -.335 .508 .199 .230 -.209 -.280

.438 .645 .031 .078 .410 .244 -.007

.366 .586 .060 -.058 .556 .125 .096

.058 -.107 .184 .654 -.109 .363 .341

.354 -.342 .492 .175 -.024 -.216 -.167

.505 .381 .472 -.052 -.106 -.244 .118

.086 -.001 .091 .797 .205 -.076 .195

.646 -.190 .065 -.321 .219 .213 .114

.687 -.149 .178 -.239 -.061 .332 .114

.614 -.284 .307 -.181 .099 .331 -.135

.701 -.293 .074 .018 .008 .315 -.200

.676 -.223 -.150 .131 .172 -.101 -.268

.707 -.183 -.257 -.134 .079 -.212 .151

.709 -.239 -.162 .032 .077 -.349 -.129

.674 -.006 -.402 .023 .083 -.310 .201

.700 -.098 -.276 .038 .231 -.014 .194

.638 -.160 -.308 .023 -.188 -.174 .339

.609 .009 .022 .117 -.420 .242 .040

.630 .110 -.016 -.019 -.454 .228 .100

.462 .552 .362 -.127 -.164 -.163 -.001

.432 .325 .369 -.041 -.295 -.387 .085

.452 .342 -.305 .254 -.083 -.011 -.429

.397 .355 -.396 .212 -.272 .141 -.420


1 2 3 4 5 6 7Component

Extraction Method: Principal Component Analysis.7 components extracted.a.

98


Rotated Component Matrix a

.038 .128 .100 .014 -.073 .796 .084

.063 .150 .215 .828 .265 -.065 .098

.120 .071 .190 .872 .040 -.043 -.008-.091 .183 -.029 -.046 -.019 -.009 .831.086 .200 .242 -.168 -.058 .660 .126.116 .146 .769 .228 -.004 .177 .027.129 -.244 -.021 .155 .054 .260 .753.395 .630 .033 .250 -.125 .125 -.139.266 .766 .192 .101 -.016 .067 -.008.129 .744 .045 .126 .000 .362 -.056.276 .687 -.035 .049 .249 .325 .062.532 .262 -.056 .104 .334 .425 -.013.764 .269 .105 .053 .052 .091 -.097.698 .160 .110 -.016 .218 .388 -.091.833 .059 .141 .122 .165 -.016 .008.702 .299 -.012 .254 .093 .052 .100.748 .240 .188 -.141 .076 -.114 .132.222 .535 .308 -.131 .343 -.056 .234.252 .546 .390 -.095 .322 -.183 .133.025 .135 .765 .283 .165 .037 -.089.158 .027 .792 .000 .063 .133 -.015.213 .010 .108 .194 .755 .063 .004.135 .101 .078 .075 .836 -.126 .004


1 2 3 4 5 6 7Component

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

Rotation converged in 9 iterations.a.

Component Transformation Matrix

.628 .551 .340 .213 .290 .232 .051-.232 -.275 .506 .580 .335 -.404 -.040-.505 .221 .507 .055 -.395 .512 .134-.003 -.291 -.093 -.017 .333 .249 .856.139 -.156 -.427 .755 -.308 .326 -.059

-.419 .679 -.380 .209 .122 -.321 .239.320 .022 .187 .034 -.654 -.500 .428

Component1234567

1 2 3 4 5 6 7

Extrac tion Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

99

Lampiran 8 : Analisis Faktor (Lanjutan) Putaran 2

KMO and Bartlett's Test

.820

982.188210.000

Kaiser-Meyer-Olkin Measure of SamplingAdequacy.

Approx. Chi-SquaredfSig.

Bartlet t's Test ofSphericity

Anti-image Matrices

.638 .006 -005 -.211 -.072 -.076 .097 -.067 -.032 -.072 .003 -.009 .063 .017 -.033 -.027 .039 .003 .014 -.095 .136

.006 .315 -.233 .071 -.085 .007 -.010 .023 -.025 -.081 .008 .044 -.003 -.014 .056 -.027 -.022 -.005 .017 -.016 -.069-005 -.233 .356 -.053 .063 -.074 .025 -.030 .038 .086 -.025 -.013 -.042 -.029 .012 .005 .040 -.100 .019 -.010 .033-.211 .071 -.053 .611 -.075 .103 -.104 -.042 .030 -.049 .059 -.125 .018 .030 -.020 -.049 .021 -.001 .026 .061 .000-.072 -.085 .063 -.075 .452 -.015 -.005 -.002 .046 .028 -.026 .013 -.002 -.107 .052 -.028 -.015 -.175 -.172 .031 .019-.076 .007 -.074 .103 -.015 .445 -.174 -.058 .003 -.011 .017 -.085 -.007 -.005 -.046 -.029 .031 .051 .005 .049 .017.097 -.010 .025 -.104 -.005 -.174 .360 -.105 -.033 .040 -.043 .025 .037 -.030 -.030 .001 -.077 -.047 .014 -.098 .073

-.067 .023 -.030 -.042 -.002 -.058 -.105 .399 -.166 -.034 -.025 .050 .009 -.012 .046 .064 -.044 .022 -.065 .061 -.035-.032 -.025 .038 .030 .046 .003 -.033 -.166 .360 -.069 .026 -.078 .049 -.078 -.014 -.112 .039 -.042 .028 -.003 -.014-.072 -.081 .086 -.049 .028 -.011 .040 -.034 -.069 .414 -.117 -.067 -.093 -.028 .080 -.039 .026 -.013 .033 -.024 -.027.003 .008 -.025 .059 -.026 .017 -.043 -.025 .026 -.117 .411 -.089 -.004 -.060 -.127 .053 -.055 .032 -.021 .025 .024

-.009 .044 -.013 -.125 .013 -.085 .025 .050 -.078 -.067 -.089 .389 -.100 -.004 .009 .026 .003 .007 -.075 -.032 -.047.063 -.003 -.042 .018 -.002 -.007 .037 .009 .049 -.093 -.004 -.100 .371 -.096 -.142 -.017 -.025 .013 -.027 -.073 .069.017 -.014 -.029 .030 -.107 -.005 -.030 -.012 -.078 -.028 -.060 -.004 -.096 .429 -.070 .066 -.030 .080 .076 -.023 -.009

-.033 .056 .012 -.020 .052 -.046 -.030 .046 -.014 .080 -.127 .009 -.142 -.070 .403 -.091 .028 -.073 -.009 .048 -.095-.027 -.027 .005 -.049 -.028 -.029 .001 .064 -.112 -.039 .053 .026 -.017 .066 -.091 .420 -.231 .024 -.003 .046 -.052.039 -.022 .040 .021 -.015 .031 -.077 -.044 .039 .026 -.055 .003 -.025 -.030 .028 -.231 .436 -.025 -.029 -.033 -.024.003 -.005 -.100 -.001 -.175 .051 -.047 .022 -.042 -.013 .032 .007 .013 .080 -.073 .024 -.025 .473 -.136 -.031 -.031.014 .017 .019 .026 -.172 .005 .014 -.065 .028 .033 -.021 -.075 -.027 .076 -.009 -.003 -.029 -.136 .566 -.037 .011

-.095 -.016 -.010 .061 .031 .049 -.098 .061 -.003 -.024 .025 -.032 -.073 -.023 .048 .046 -.033 -.031 -.037 .569 -.263.136 -.069 .033 .000 .019 .017 .073 -.035 -.014 -.027 .024 -.047 .069 -.009 -.095 -.052 -.024 -.031 .011 -.263 .548.691a .013 -005 -.338 -.133 -.142 .203 -.132 -.068 -.141 .007 -.018 .129 .033 -.065 -.052 .073 .006 .023 -.158 .230.013 .696a -.696 .162 -.225 .019 -.030 .064 -.073 -.225 .021 .126 -.010 -.038 .158 -.074 -.060 -.013 .041 -.037 -.167-005 -.696 .626a -.114 .156 -.185 .071 -.079 .107 .225 -.064 -.036 -.116 -.075 .032 .012 .102 -.245 .043 -.021 .075-.338 .162 -.114 .707a -.143 .197 -.221 -.084 .065 -.096 .117 -.257 .038 .058 -.039 -.097 .041 -.001 .044 .103 .000-.133 -.225 .156 -.143 .784a -.034 -.011 -.006 .115 .065 -.061 .031 -.004 -.244 .122 -.064 -.034 -.379 -.339 .060 .039-.142 .019 -.185 .197 -.034 .861a -.436 -.139 .006 -.026 .039 -.205 -.017 -.011 -.108 -.066 .072 .111 .010 .097 .034.203 -.030 .071 -.221 -.011 -.436 .834a -.278 -.093 .105 -.112 .067 .101 -.077 -.078 .001 -.195 -.114 .031 -.217 .163

-.132 .064 -.079 -.084 -.006 -.139 -.278 .839a -.438 -.083 -.062 .126 .022 -.029 .115 .157 -.105 .051 -.138 .128 -.075-.068 -.073 .107 .065 .115 .006 -.093 -.438 .855a -.179 .067 -.210 .135 -.198 -.036 -.288 .099 -.102 .062 -.006 -.033-.141 -.225 .225 -.096 .065 -.026 .105 -.083 -.179 .864a -.284 -.168 -.237 -.066 .195 -.093 .061 -.029 .068 -.049 -.056.007 .021 -.064 .117 -.061 .039 -.112 -.062 .067 -.284 .895a -.223 -.012 -.142 -.311 .126 -.131 .073 -.043 .051 .051

-.018 .126 -.036 -.257 .031 -.205 .067 .126 -.210 -.168 -.223 .884a -.262 -.011 .024 .065 .008 .017 -.159 -.068 -.101.129 -.010 -.116 .038 -.004 -.017 .101 .022 .135 -.237 -.012 -.262 .861a -.240 -.366 -.044 -.061 .030 -.058 -.160 .153.033 -.038 -.075 .058 -.244 -.011 -.077 -.029 -.198 -.066 -.142 -.011 -.240 .899a -.169 .155 -.068 .177 .155 -.046 -.019

-.065 .158 .032 -.039 .122 -.108 -.078 .115 -.036 .195 -.311 .024 -.366 -.169 .825a -.221 .066 -.166 -.018 .100 -.203-.052 -.074 .012 -.097 -.064 -.066 .001 .157 -.288 -.093 .126 .065 -.044 .155 -.221 .795a -.540 .053 -.006 .094 -.108.073 -.060 .102 .041 -.034 .072 -.195 -.105 .099 .061 -.131 .008 -.061 -.068 .066 -.540 .844a -.055 -.058 -.066 -.050.006 -.013 -.245 -.001 -.379 .111 -.114 .051 -.102 -.029 .073 .017 .030 .177 -.166 .053 -.055 .805a -.263 -.059 -.060.023 .041 .043 .044 -.339 .010 .031 -.138 .062 .068 -.043 -.159 -.058 .155 -.018 -.006 -.058 -.263 .820a -.066 .020

-.158 -.037 -.021 .103 .060 .097 -.217 .128 -.006 -.049 .051 -.068 -.160 -.046 .100 .094 -.066 -.059 -.066 .766a -.471.230 -.167 .075 .000 .039 .034 .163 -.075 -.033 -.056 .051 -.101 .153 -.019 -.203 -.108 -.050 -.060 .020 -.471 .723a

X1X2X3X5X6X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23X1X2X3X5X6X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23

Anti-imageCovariance

Anti-imageCorrelation

X1 X2 X3 X5 X6 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23

Measures of Sampling Adequacy(MSA)a.

100


Communa lities

1.000 .6851.000 .8341.000 .8091.000 .6111.000 .7131.000 .6661.000 .7241.000 .7131.000 .7151.000 .6691.000 .6911.000 .7061.000 .7631.000 .6511.000 .6831.000 .6291.000 .7011.000 .7091.000 .6761.000 .6311.000 .736

X1X2X3X5X6X8X9X10X11X12X13X14X15X16X17X18X19X20X21X22X23

Initial Extrac tion

Extrac tion Method: Principal Component Analys is

Total Variance Expla ined

6.896 32.836 32.836 6.896 32.836 32.836 3.643 17.348 17.3482.204 10.496 43.332 2.204 10.496 43.332 3.078 14.658 32.0061.859 8.854 52.186 1.859 8.854 52.186 2.295 10.929 42.9361.370 6.523 58.709 1.370 6.523 58.709 1.945 9.264 52.2001.261 6.007 64.716 1.261 6.007 64.716 1.904 9.067 61.2671.124 5.351 70.067 1.124 5.351 70.067 1.848 8.800 70.067

.867 4.127 74.194

.717 3.417 77.611

.577 2.747 80.358

.568 2.707 83.065

.547 2.606 85.670

.442 2.104 87.774

.433 2.064 89.838

.418 1.991 91.829

.342 1.627 93.456

.314 1.495 94.951

.272 1.295 96.246

.229 1.090 97.336

.205 .976 98.313

.191 .909 99.222

.163 .778 100.000

Component123456789101112131415161718192021

Total% of

VarianceCumulative

% Total% of

VarianceCumulative

% Total% of

VarianceCumulative

%

Initial EigenvaluesExtrac tion Sums of Squared

LoadingsRotation Sums of Squared

Loadings

Extrac tion Method: Principal Component Analys is.

101


Component Matrix a

.296 -.327 .507 -.052 .263 .401

.437 .648 .005 -.452 -.005 .134

.366 .582 .057 -.559 .141 -.017

.351 -.329 .486 .163 .196 .280

.505 .389 .471 .186 .186 -.127

.648 -.195 .099 -.348 -.141 -.239

.688 -.143 .191 -.135 -.353 -.225

.615 -.276 .322 -.252 -.298 .039

.701 -.285 .068 -.128 -.283 .203

.676 -.228 -.148 -.075 .177 .319

.708 -.196 -.230 -.016 .233 -.207

.709 -.253 -.141 .090 .320 .092

.675 -.020 -.392 .048 .354 -.160

.699 -.105 -.277 -.202 .137 -.126

.638 -.164 -.308 .227 .122 -.297

.608 .019 -.001 .299 -.410 .039

.630 .115 -.028 .303 -.429 -.119

.464 .558 .365 .189 .091 -.074

.431 .326 .374 .418 .177 -.193

.450 .338 -.331 .136 -.025 .430

.397 .354 -.427 .228 -.214 .417


1 2 3 4 5 6Component

Extraction Method: Principal Component Analysis.6 components extracted.a.

102


Rotated Component Matrix a

.040 .114 .089 -.073 .022 .810

.057 .143 .209 .283 .827 -.049

.116 .075 .191 .043 .865 -.049

.090 .168 .229 -.033 -.155 .705

.117 .140 .767 .013 .231 .193

.399 .640 .032 -.149 .253 .102

.262 .777 .189 -.018 .102 .063

.139 .738 .036 -.028 .140 .356

.281 .668 -.051 .249 .065 .349

.547 .231 -.070 .320 .126 .439

.774 .263 .107 .042 .058 .083

.706 .164 .106 .189 -.008 .364

.832 .055 .143 .181 .119 -.010

.694 .314 -.007 .105 .241 .044

.734 .247 .192 .121 -.155 -.093

.170 .561 .284 .429 -.145 .004

.206 .582 .371 .385 -.109 -.147

.040 .108 .757 .165 .303 .060

.152 .067 .798 .050 -.010 .096

.225 .004 .096 .724 .211 .053

.146 .070 .057 .829 .103 -.095


1 2 3 4 5 6Component

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

Rotation converged in 8 iterations.a.

Component Transformation Matrix

.624 .553 .330 .300 .217 .241-.256 -.257 .513 .341 .576 -.397-.481 .225 .507 -.430 .050 .523.017 -.191 .510 .343 -.764 -.042.487 -.715 .166 -.274 .157 .354

-.278 -.174 -.288 .645 .100 .620

Component123456

1 2 3 4 5 6

Extraction Method: Principal Component Analys is. Rotation Method: Varimax with Kaiser Normalization.

103

Lampiran 9 : Analisis Cluster 2 Cluster

Initial Cluster Centers

-3.232 1.260-4.442 1.0161.836 -3.277

-2.186 -3.3031.128 -1.816

-2.066 1.091

F1F2F3F4F5F6

1 2Cluster

Ite ration Historya

5.420 5.186.272 .059.374 .118.267 .092.248 .072.240 .076.163 .055.233 .092.176 .088.112 .057.060 .032.056 .030.000 .000

Iteration12345678910111213

1 2

Change in Clus terCenters

Convergence achieved due to no or smallchange in clus ter centers. The max imumabsolute coordinate change for any center is .000. The current iteration is 13. The minimumdis tance between initial centers is 9.798.

a.

Final Cluster Centers

-.900 .485.192 -.103.256 -.138.313 -.168

-.452 .243.077 -.042

F1F2F3F4F5F6

1 2Cluster

104

Lampiran 9 : Analisis Cluster (Lanjutan) ANOVA

43.642 1 .565 98 77.259 .0001.984 1 .990 98 2.004 .1603.541 1 .974 98 3.635 .0595.270 1 .956 98 5.510 .021

10.979 1 .898 98 12.223 .001.323 1 1.007 98 .321 .572

F1F2F3F4F5F6

Mean Square dfCluster

Mean Square dfError

F Sig.

The F tests should be used only for descriptive purposes because the clus ters have beenchosen to maximize the differences among cases in different clus ters. The observedsignificance levels are not corrected for this and thus cannot be interpreted as tests of thehypothesis that the cluster means are equal.

Number of Cases in each Cluster

35.00065.000

100.000.000

12

Cluster

ValidMissing

Classification Statistics

Classification Results a

35 0 350 65 65

100.0 .0 100.0.0 100.0 100.0

Cluster Number of Case1212

Count

%

Original1 2

Predicted GroupMembership

Total

100.0% of original grouped cases correctly classified.a.

105

Lampiran 9 : Analisis Cluster (Lanjutan) 3 Cluster


-3.010 -3.232 .8352.455 -4.442 -1.6141.579 1.836 -1.431

-2.436 -2.186 1.800-2.037 1.128 -.367

.145 -2.066 -.024

F1F2F3F4F5F6

1 2 3Cluster

Ite ration Historya

3.426 .000 2.773.561 .000 .125.331 .000 .102.439 .000 .177.137 .000 .061.095 .000 .043.000 .000 .000

Iteration1234567

1 2 3Change in Clus ter Centers

Convergence achieved due to no or small change incluster centers . The maximum absolute coordinatechange for any center is .000. The current iteration is 7.The minimum distance between init ial centers is 7.583.

a.


-.438 -3.232 .237.743 -4.442 -.258

-.101 1.836 .017-.678 -2.186 .326.564 1.128 -.261.330 -2.066 -.114

F1F2F3F4F5F6

1 2 3Cluster

ANOVA

10.044 2 .814 97 12.347 .00020.443 2 .599 97 34.121 .000

1.849 2 .982 97 1.882 .15812.958 2 .753 97 17.198 .000

7.758 2 .861 97 9.014 .0004.211 2 .934 97 4.510 .013

F1F2F3F4F5F6


Mean Square dfError

F Sig.


106

Lampiran 9 : Analisis Cluster (Lanjutan)


30.0001.000

69.000100.000

.000

123

Cluster

ValidMissing


Classification Results a

30 0 0 300 1 0 10 0 69 69

100.0 .0 .0 100.0.0 100.0 .0 100.0.0 .0 100.0 100.0


Count

%

Original1 2 3

Predicted Group MembershipTotal

100.0% of original grouped cases correctly classified.a.

107

Lampiran 9 : Analisis Cluster (Lanjutan) 4 Cluster


1.255 -3.010 -3.232 1.260-1.057 2.455 -4.442 1.016

.863 1.579 1.836 -3.277-.150 -2.436 -2.186 -3.3031.525 -2.037 1.128 -1.8161.154 .145 -2.066 1.091

F1F2F3F4F5F6

1 2 3 4Cluster

Iteration History a

2.503 3.499 .000 2.404.066 .510 .000 .000.076 .353 .000 .000.113 .390 .000 .000.129 .364 .000 .000.047 .112 .000 .000.113 .240 .000 .000.070 .168 .000 .000.000 .000 .000 .000

Iteration123456789

1 2 3 4Change in Clus ter Centers

Convergence achieved due to no or small change incluster centers. The maximum absolute coordinatechange for any center is .000. The current iteration is 9.The minimum distance between initial centers is 6.523.

a.


.443 -1.037 -3.232 1.216-.278 .690 -4.442 1.006.153 -.283 1.836 -1.303.071 .120 -2.186 -2.025

-.108 .388 1.128 -1.707-.008 .027 -2.066 .607

F1F2F3F4F5F6

1 2 3 4Cluster

108

Lampiran 9 : Analisis Cluster (Lanjutan)

ANOVA

19.725 3 .415 96 47.547 .00013.919 3 .596 96 23.343 .000

4.121 3 .902 96 4.566 .0055.945 3 .845 96 7.032 .0005.059 3 .873 96 5.794 .0011.799 3 .975 96 1.846 .144

F1F2F3F4F5F6


Mean Square dfError

F Sig.



67.00029.000

1.0003.000

100.000.000

1234

Cluster

ValidMissing


Classifica tion Resultsa

67 0 0 0 670 29 0 0 290 0 1 0 10 0 0 3 3

100.0 .0 .0 .0 100.0.0 100.0 .0 .0 100.0.0 .0 100.0 .0 100.0.0 .0 .0 100.0 100.0


Count

%

Original1 2 3 4

Predic ted Group MembershipTotal

100.0% of original grouped cases correc tly c lass ified.a.

109

Lampiran 10 : Analisis Biplot

1.0000000000000.5000000000000.000000000000-0.500000000000-1.000000000000

1.500000000000E-8

1.000000000000E-8

5.000000000000E-9

-1.654361225106E-24

-5.000000000000E-9

-1.000000000000E-8

-1.500000000000E-8

F6

F5

F4

F3

F2

F1

Cluster2

Cluster1

KelompokREGR factor score 1for analysis 1

REGR factor score 2for analysis 1REGR factor score 1for analysis 1

110

Lampiran 11 : Analisis Tabulasi Silang

Jenis Kelamin * Cluster Crosstabulation

16 25 4145.7% 38.5% 41.0%

19 40 5954.3% 61.5% 59.0%

35 65 100100.0% 100.0% 100.0%

Count% within ClusterCount% within ClusterCount% within Cluster

Pria

Wanita

Jenis Kelamin

Total

Cluster 1 Cluster 2Cluster

Total

Usia * Cluster Crosstabulation

14 37 5140.0% 56.9% 51.0%

13 17 3037.1% 26.2% 30.0%

4 8 1211.4% 12.3% 12.0%

4 3 711.4% 4.6% 7.0%

35 65 100100.0% 100.0% 100.0%

Count% within ClusterCount% within ClusterCount% within ClusterCount% within ClusterCount% within Cluster

18-24 tahun

25-34 tahun

35-44 tahun

45-54 tahun

Usia

Total


Total

Status Pernikahan * Cluster Crosstabulation

24 49 7368.6% 75.4% 73.0%

11 16 2731.4% 24.6% 27.0%

35 65 100100.0% 100.0% 100.0%

Count% within ClusterCount% within ClusterCount% within Cluster

Belum Menikah

Menikah

Status Pernikahan

Total


Total

Household Income Per Bulan * Cluster Crosstabulation

12 26 3834.3% 40.0% 38.0%

5 15 2014.3% 23.1% 20.0%

7 17 2420.0% 26.2% 24.0%

11 7 1831.4% 10.8% 18.0%

35 65 100100.0% 100.0% 100.0%


Rp 30 jt - Rp 50 jt

Rp 50 jt - Rp 70 jt

Rp 70 jt - Rp 90 jt

> Rp 90 jt

HouseholdIncome PerBulan

Total


Total

111

Lampiran 11 :Analisis Tabulasi Silang (Lanjutan)

Teman Berlibur a tau Berencana Berl ibur ke Jepang * Cluste r Crosstabulation

24 47 7168.6% 72.3% 71.0%

8 11 1922.9% 16.9% 19.0%

3 7 108.6% 10.8% 10.0%

35 65 100100.0% 100.0% 100.0%

Count% within ClusterCount% within ClusterCount% within ClusterCount% within Cluster

Teman

Sendiri (sendirian)

Sendiri (dengangroup tour)

Teman Berliburatau BerencanaBerlibur ke Jepang

Total


Total

Waktu yang Dipilih untuk Berlibur ke Jepang * Cluster Crosstabulation

10 16 2628.6% 24.6% 26.0%

8 20 2822.9% 30.8% 28.0%

14 24 3840.0% 36.9% 38.0%

3 5 88.6% 7.7% 8.0%

35 65 100100.0% 100.0% 100.0%


Musim dingin (Des-Mar)

Musim gugur (Sept-Des)

Musim semi (Mar-Jun)

Musim panas (Jun-Sept)

Waktu yangDipilih untukBerlibur keJepang

Total


Total

lampiran 1: kuesioner penelitian · 76 lampiran 1: kuesioner penelitian . kuesioner . analisa...

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