BAB V PENUTUP. Berdasarkan hasil analisis data pada bab sebelumnya, maka kesimpulan dari hasil

BAB V PENUTUP

5.1. Kesimpulan Berdasarkan hasil analisis data pada bab sebelumnya, maka kesimpulan dari hasil penelitian ini adalah sebagai berikut : 1.

Merek produk mobil yang dipersepsikan berkualitas paling baik dan memiliki minat beli yang tinggi adalah Suzuki SX4.

2.

Negara produksi (country of manufacture) yang dipersepsikan berkualitas paling baik dan memiliki minat beli yang tinggi adalah Negara Thailand.

3.

Negara perakit (country of assembly) yang dipersepsikan berkualitas paling baik dan memiliki minat beli yang tinggi adalah Negara India.

4.

Negara perancang (country of design) produk mobil yang dipersepsikan berkualitas paling baik dan memiliki minat beli yang tinggi adalah Negara Amerika.

5.

Harga produk mobil yang dipersepsikan berkualitas paling baik adalah Rp. 215 juta dan harga produk mobil yang memiliki minat beli yang tinggi adalah Rp. 185 juta.

6.

COA (Country of Assembly) merupakan faktor yang paling dipertimbangkan konsumen dalam mempersepsikan kualitas mobil.

7.

Merek merupakan faktor yang paling dipertimbangkan konsumen dalam pembelian produk mobil.

8.

Terdapat perbedaan persepsi kualitas pada variabel COA ditinjau dari perbedaan pekerjaan responden, dimana responden dengan pekerjaan sebagai pegawai negeri mempersepsikan COA Thailand lebih baik daripada COA Indonesia.

84

9. Terdapat perbedaan minat beli pada variabel harga ditinjau dari perbedaan pekerjaan responden, dimana responden dengan pekerjaan sebagai pegawai negeri menyukai produk mobil dengan harga Rp. 197,5 juta.

5.2. Saran Berdasarkan analisis data dan kesimpulan yang telah diperoleh, maka saran yang diberikan sebagai bahan pertimbangan, yaitu : 1.

Bagi Pelaku Bisnis Industri Otomotif (mobil) Diharapkan para pelaku bisnis industri otomotif (mobil) lebih memperhatikan atributatribut ataupun faktor-faktor yang mempengaruhi persepsi dan minat beli konsumen untuk dipertimbangkan dalam menciptakan suatu produk (mobil).

2.

Bagi Peneliti Selanjutnya Diharapkan pada penelitian selanjutnya menyeimbangkan proporsi karakteristik konsumen khususnya pada status pekerjaan agar tidak terjadi ketimpangan jumlah responden antara responden dengan pekerjaan tertentu dan responden dengan pekerjaan lainnya.

Penelitian ini tidak lepas dari beberapa keterbatasan dan kelemahan. Keterbatasan dan kelemahan dalam penelitian ini berupa : 1.

Survei penelitian ini dilakukan hanya dengan menggunakan kuesioner tanpa dilengkapi dengan metode pengumpulan data lainnya seperti wawancara untuk keakuratan data.

2.

Jumlah responden antar status pekerjaan tidak seimbang dimana persentase responden berstatus pekerjaan sebagai pegawai negeri terpaut jauh dengan responden berstatus pekerjaan sebagai pegawai swasta dan wiraswasta.

85

DAFTAR PUSTAKA

Aaker, David. A. (1997). Manajemen Ekuitas Merek: Memanfaatkan Nilai dari Suatu Merek. Penerbit Mitra Utama. Assael, Henry. (1995). Consumer Behaviour and Marketing Action. 5th Edition. Southwestern Thomson Learning. Ahmed, Zafar U, James P. Johnson dan Lim Chee Boon. (2004). Does Country of Origin Matter For Low-Involvement Products?. International Marketing Review. Vol 12, No.1, pp. 102-120. Czinkota, Michael R. dan Ilkka Ronkainen. (2001). International Marketing. 6th Edition. Florida: Harcout. Dwi, Melayana. P. (2006). Analisis Minat Beli dan Persespsi Konsumen terhadap Kualitas Produk Mobil Berdasarkan Faktor-faktor Country of Origin, Tesis FE UAJY, tidak dipublikasikan. Hamin, and Elliot G. 2006. A Less-developed Country Perspective of Consumer Ethnocentrism And “Country Of Origin” Effect: Indonesian Evidence. Asia Pacific Journal of Marketing. Vol 18 No 2, 79-92 Hair , Joseph. F, Jr, Andersson, Roplph. E, Tatham, Ronald. L, and lack, William. C. (1998). Multivariate Data Analysis. 5th Edition. Prentice-Hall International, Inc., Haubl, Gerald. 2006. A cross-national investigation of the effects of country oforigin and brand name on the evaluation of a new car. International Marketing Review. Vol 18 No 2, 79-92. Kotler, Philip dan Gary Armstrong. (2001). Prinsip-prinsip Pemasaran. Jilid 1. Edisi Kedelapan. Jakarta: Penerbit Erlangga. Kotler, Philip. (2004). Manajemen Pemasaran: Analisis, Perencanaan, Implementasi, dan Pengendalian. Jilid 1. Edisi Keenam. Jakarta: Penerbit Erlangga. Kuncoro, Mudrajad. (2003). Metode Riset untuk Bisnis dan Ekonomi ”Bagaimana Meneliti dan Menulis Tesis?”. Jakarta: Penerbit Erlangga. Mowen, John C. dan Michael Minor. (2002). Perilaku Konsumen. Jilid 1. Edisi Kelima. Jakarta: Penerbit Erlangga.

Noviandra, Mahestu. (2007). Evaluasi Pengaruh Country of Origin, Merek, dan Harga Pada Pembelian Produk Susu Import. Kinerja. Vol 11 No.1, pp. 64-75. Purnama, Lingga. (2002). Strategic Marketing Plan. Jakarta: PT. Gramedia Pustaka Utama. Rangkuti, Freddy. (2003). The Power of Brands. Jakarta: PT. Gramedia Pustaka Utama. Schiffman, Leon dan Leslie Lazar Kanuk. (2007). Perilaku Konsumen. Jakarta: PT. Indeks. Simamora, Bilson. (2004). Riset Pemasaran: Falsafah, Teori, dan Aplikasi. Jakarta: PT. Gramedia Pustaka Utama. Tjiptono, Fandy, Gregorius Chandra, dan Dadi Adriana. (2008). Pemasaran Strategik. Yogyakarta: CV. Andi Offset. Wells, William. D., and Prensky, David. (1995). Consumer Behaviour. USA, McGraw Hill. Winata, F. R. & Dahlia Darmayanti. (2009). Country of Origin Stereotyping and Consumer Ethocentrism in The Indonesian Automobile Industry. Journal of Business Strategy dan Excecution, Vol 1 No.2, pp. 239-289. Bernas. (2005). Pasar Mobil 2006 Masih Potensial. Available: http://www.bernas.co.id/news/cyberstyle/METRO/31.htm [2005, 5 Desember]

Lampiran I Kuesioner

KUESIONER IDENTITAS RESPONDEN Petunjuk Pengisian : Pilihlah dengan memberi tanda centang (V) pada pilihan di bawah ini : 1. Usia

2. Pekerjaan

3. Pendapatan

:

:

:

□

22 – 30 tahun

□

31 – 44 tahun

□

45 – 55 tahun

□

56 – 65 tahun

□

Pegawai Negeri

□

Pegawai Swasta

□

Wiraswasta

□

Lainnya (sebutkan) ........................................

□

< Rp. 4.000.000,00 / bulan

□

Rp. 4.000.000,00 – Rp 6.000.000,00 / bulan

□

Rp. 6.000.000,00 – Rp 8.000.000,00 / bulan

□

Rp. 8.000.000,00 – Rp 10.000.000,00 / bulan

□

> Rp. 10.000.000,00 / bulan

Bagaimana penilaian Bapak/Ibu/Sdr/i mengenai karakteristik produk mobil dibawah ini ? Petunjuk Pengisian : Berilah tanda silang (X) pada salah satu kotak jawaban yang Anda pilih ! 1.

Karakteristik Mobil sebagai berikut : Merek : Hyundai i20 Negara produksi : Indonesia Negara perakit : Thailand Negara perancang : Italia Harga : Rp. 185.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut

Sangat Jelek 1

Jelek

Sedang

Baik

Sangat Baik

2

3

4

5

Seberapa besar keinginan saya untuk membeli produk ini?

Pasti tidak beli 1

Mungkin tidak beli 2

Ragu-ragu beli 3

Mungkin beli 4

Pasti beli

Jelek

Sedang

Baik

Sangat Baik

2 Mungkin tidak beli 2

3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

5

2.

Karakteristik Mobil sebagai berikut : Merek : Hyundai i20 Negara produksi : Thailand Negara perakit : India Negara perancang : Italia Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?

Sangat Jelek 1 Pasti tidak beli 1

5

3.

Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Thailand Negara perakit : Indonesia Negara perancang : Italia Harga : Rp. 197.500.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut

Sangat Jelek 1

Jelek

Sedang

Baik

Sangat Baik

2

3

4

5


Pasti tidak beli 1


Ragu-ragu beli 3

Mungkin beli 4

Pasti beli 5

4.

Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : India Negara perakit : India Negara perancang : Amerika Harga : Rp. 185.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut

Sangat Jelek 1

Jelek

Sedang

Baik

Sangat Baik

2

3

4

5


Pasti tidak beli 1


Ragu-ragu beli 3

Mungkin beli 4

Pasti beli 5

5. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Indonesia Negara perakit : Thailand Negara perancang : Korea Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli 5

6. Karakteristik Mobil sebagai berikut : Merek : Chevrolet Aveo Negara produksi : Indonesia Negara perakit : India Negara perancang : Korea Harga : Rp. 197.500.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

5

7. Karakteristik Mobil sebagai berikut : Merek : Chevrolet Aveo Negara produksi : India Negara perakit : India Negara perancang : Italia Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

8. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : India Negara perakit : Thailand Negara perancang : Italia Harga : Rp. 197.500.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli 5

9. Karakteristik Mobil sebagai berikut: Merek : Hyundai i20 Negara produksi : Indonesia Negara perakit : India Negara perancang : Amerika Harga : Rp. 197.500.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut

Sangat Jelek 1

Jelek

Sedang

Baik

Sangat Baik

2

3

4

5


Pasti tidak beli 1


Ragu-ragu beli 3

Mungkin beli 4

Pasti beli 5

10. Karakteristik Mobil sebagai berikut : Merek : Chevrolet Aveo Negara produksi : Thailand Negara perakit : Thailand Negara perancang : Amerika Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli 5

11. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Indonesia Negara perakit : Indonesia Negara perancang : Amerika Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

5

12. Karakteristik Mobil sebagai berikut : Merek : Chevrolet Aveo Negara produksi : Indonesia Negara perakit : Indonesia Negara perancang : Italia Harga : Rp. 185.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

13. Karakteristik Mobil sebagai berikut : Merek : Hyundai i20 Negara produksi : India Negara perakit : Indonesia Negara perancang : Korea Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

14. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Thailand Negara perakit : India Negara perancang : Korea Harga : Rp. 185.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

5

15. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : India Negara perakit : India Negara perancang : Italia Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

16. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Indonesia Negara perakit : India Negara perancang : Italia Harga : Rp. 215.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

17. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Thailand Negara perakit : India Negara perancang : Italia Harga : Rp. 197.500.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

Jelek

Sedang

Baik

Sangat Baik


3 Ragu-ragu beli 3

4 Mungkin beli 4

5 Pasti beli

5

18. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : India Negara perakit : Indonesia Negara perancang : Italia Harga : Rp. 185.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

19. Karakteristik Mobil sebagai berikut : Merek : Suzuki SX4 Negara produksi : Indonesia Negara perakit : India Negara perancang : Italia Harga : Rp. 185.000.000 Dari gambaran tersebut saya akan menilai bahwa kualitas produk tesebut Seberapa besar keinginan saya untuk membeli produk ini?


5

LAMPIRAN GAMBAR MOBIL

Suzuki SX4

Chevrolet Aveo

Hyundai i20

Lampiran II Analisis Conjoint, Validitas dan Reliabilitas

Persepsi Kualitas Mobil Factor Model Levels Label MEREK d 3 Merek COM d 3 Com COA d 3 Coa COD d 3 Cod HARGA d 3 Harga (Models: d=discrete, l=linear, i=ideal, ai=antiideal, <=less, >=more) The factors are not all orthogonal. MEREK COM COA COD HARGA _

MEREK 1.000 .104 .000 .000 .000

Cramer's V statistics:

COM

COA

COD

HARGA

1.000 .104 .104 .104

1.000 .000 .000

1.000 .000

1.000

SUBFILE SUMMARY Averaged Importance

Utility

ÜØØØØØØØØØÞ Ù20.45 Ù .1370 ÛØØØØØØØØØÝ -.0944 Ù -.0426 Ù ÜØØØØØØØØÞ Ù18.42 Ù .0383 ÛØØØØØØØØÝ -.0961 Ù .0578 Ù ÜØØØØØØØØØÞ Ù20.83 Ù .1165 ÛØØØØØØØØØÝ -.0547 Ù -.0618 Ù ÜØØØØØØØØØÞ Ù20.12 Ù -.0124 ÛØØØØØØØØØÝ -.0256 Ù .0380 Ù ÜØØØØØØØØØÞ Ù20.18 Ù .0521 ÛØØØØØØØØØÝ -.0449 Ù -.0072 Ù 3.3335 Pearson's R

=

Kendall's tau = Kendall's tau =

Factor MEREK Ù------Ù -Ù

Merek Suzuki SX4 Hyundai i20 Chevrolet Aveo

COM Ù---Ù Ù--

Com Indonesia India Thailand

COA Ù----Ù --Ù

Coa India Indonesia Thailand

COD Ù -Ù Ù-

Cod Italia Korea Amerika

HARGA Ù--Ù Ù

Harga 215 jt 197,5 jt 185 jt

CONSTANT

.967

Significance =

.0000

.819 .333 for 3 holdouts

Significance = Significance =

.0000 .3008

_ SUBFILE SUMMARY No reversals occured in this split file group.

Minat Beli Factor Model Levels Label MEREK d 3 Merek COM d 3 Com COA d 3 Coa COD d 3 Cod HARGA d 3 Harga (Models: d=discrete, l=linear, i=ideal, ai=antiideal, <=less, >=more) The factors are not all orthogonal. MEREK COM COA COD HARGA _

MEREK 1.000 .104 .000 .000 .000

Cramer's V statistics:

COM

COA

COD

HARGA

1.000 .104 .104 .104

1.000 .000 .000

1.000 .000

1.000

SUBFILE SUMMARY Averaged Importance

Utility

ÜØØØØØØØØØÞ Ù20.75 Ù .2117 ÛØØØØØØØØØÝ -.1059 Ù -.1059 Ù ÜØØØØØØØØØÞ Ù20.23 Ù -.0350 ÛØØØØØØØØØÝ -.0285 Ù .0636 Ù ÜØØØØØØØØØÞ Ù19.90 Ù .0969 ÛØØØØØØØØØÝ -.0449 Ù -.0520 Ù ÜØØØØØØØØÞ Ù18.43 Ù -.0682 ÛØØØØØØØØÝ -.0555 Ù .1237 Ù ÜØØØØØØØØØÞ Ù20.69 Ù -.0005

Factor MEREK Ù-----Ù --Ù

Merek Suzuki SX4 Hyundai i20 Chevrolet Aveo

COM -Ù -Ù Ù-

Com Indonesia India Thailand

COA Ù--Ù -Ù

Coa India Indonesia Thailand

COD -Ù -Ù Ù--

Cod Italia Korea Amerika

HARGA Ù

Harga 215 jt

ÛØØØØØØØØØÝ -.0952 Ù .0958 Ù 2.4024 Pearson's R

=

Kendall's tau = Kendall's tau = _

--Ù Ù--

197,5 jt 185 jt

CONSTANT

.976

Significance =

.0000

.895 .000 for 3 holdouts

Significance = Significance =

.0000 .5000

SUBFILE SUMMARY No reversals occured in this split file group.

Lampiran III Tabel Frekuensi

Frequencies Usia

Valid

31 - 44 tahun 45 - 55 tahun 56 - 65 tahun Total

Frequency 30 52 24 106

Percent 28.3 49.1 22.6 100.0

Cumulative Percent 28.3 77.4 100.0

Valid Percent 28.3 49.1 22.6 100.0

Pekerjaan

Valid

Pegawai Negeri Pegawai Swasta Wiraswasta Total

Frequency 1 32 73 106

Percent .9 30.2 68.9 100.0

Valid Percent .9 30.2 68.9 100.0

Cumulative Percent .9 31.1 100.0

Pendapatan

Valid

Frequency < Rp. 4.000.000,00 / bulan 12 Rp. 4.000.000,00 - Rp. 6.000.000,00 / bulan 11 Rp. 6.000.000,00 - Rp. 8.000.000,00 18 Rp. 8.000.000,00 - Rp. 10.000.000,00 / bula 58 > Rp. 10.000.000,00 7 Total 106

Percent 11.3 10.4 17.0 54.7 6.6 100.0

Valid Percent 11.3 10.4 17.0 54.7 6.6 100.0

Cumulative Percent 11.3 21.7 38.7 93.4 100.0

Lampiran IV Uji Beda

Oneway: MEREK (KUALITAS) Descriptives

N Suzuki SX4

Hyundai i20

Chevrolet Aveo

22 - 30 tahun 31 - 44 tahun 45 - 55 tahun 56 - 65 tahun Total 22 - 30 tahun 31 - 44 tahun 45 - 55 tahun 56 - 65 tahun Total 22 - 30 tahun 31 - 44 tahun 45 - 55 tahun 56 - 65 tahun Total

6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean .2283 .2075 .0857 .1372 .1370 -.1558 -.0704 -.0765 -.1658 -.0944 -.0725 -.1371 -.0092 .0286 -.0426

Std. Deviation .35267 .20957 .31154 .23818 .27852 .11447 .25284 .26002 .28873 .25696 .28708 .26450 .21162 .23165 .24023

Std. Error .14398 .03826 .04320 .05614 .02705 .04673 .04616 .03606 .06805 .02496 .11720 .04829 .02935 .05460 .02333

95% Confidence Interval for Mean Lower Bound Upper Bound -.1418 .5984 .1292 .2857 -.0010 .1725 .0187 .2556 .0833 .1906 -.2759 -.0357 -.1648 .0240 -.1489 -.0041 -.3094 -.0222 -.1439 -.0450 -.3738 .2288 -.2358 -.0383 -.0681 .0497 -.0865 .1438 -.0888 .0037

ANOVA

Suzuki SX4

Hyundai i20

Chevrolet Aveo

Between Groups Within Groups Total Between Groups Within Groups Total Between Groups Within Groups Total

Sum of Squares .336 7.810 8.145 .148 6.785 6.933 .422 5.637 6.059

df 3 102 105 3 102 105 3 102 105

Mean Square .112 .077

F 1.461

Sig. .230

.049 .067

.743

.529

.141 .055

2.548

.060

Minimum -.38 -.29 -.77 -.21 -.77 -.32 -.67 -.73 -.72 -.73 -.33 -.68 -.40 -.51 -.68

Maximum .64 .65 .71 .69 .71 -.04 .34 .51 .31 .51 .44 .54 .57 .37 .57

Oneway: COM (KUALITAS) Descriptives

N Indonesia

India

Thailand


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean -.0026 .0793 .0072 .0735 .0383 -.0755 -.1102 -.0793 -.1279 -.0961 .0781 .0309 .0721 .0544 .0578

Std. Deviation .20637 .22117 .18948 .21144 .20367 .25038 .28288 .23542 .23240 .24728 .19577 .24883 .23954 .18963 .23011

Std. Error .08425 .04038 .02628 .04984 .01978 .10222 .05165 .03265 .05478 .02402 .07992 .04543 .03322 .04470 .02235

95% Confidence Interval for Mean Lower Bound Upper Bound -.2192 .2140 -.0032 .1619 -.0455 .0600 -.0316 .1786 -.0009 .0776 -.3383 .1872 -.2159 -.0046 -.1449 -.0138 -.2435 -.0123 -.1437 -.0485 -.1273 .2836 -.0620 .1238 .0054 .1388 -.0399 .1487 .0135 .1021

ANOVA

Indonesia

India

Thailand


Sum of Squares .133 4.223 4.356 .041 6.379 6.420 .035 5.525 5.560

df 3 102 105 3 102 105 3 102 105


F 1.072

Sig. .364

.014 .063

.220

.882

.012 .054

.216

.885

Minimum -.22 -.38 -.42 -.23 -.42 -.52 -.91 -.71 -.57 -.91 -.14 -.43 -.49 -.26 -.49

Maximum .30 .55 .39 .55 .55 .17 .37 .63 .27 .63 .32 .55 .65 .45 .65

Oneway: COA (KUALITAS) Descriptives

N India

Indonesia

Thailand


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean .0616 .1130 .1338 .0909 .1165 -.1558 -.0190 -.0789 -.0107 -.0547 .0942 -.0940 -.0549 -.0802 -.0618

Std. Deviation .25614 .21441 .22694 .27405 .23116 .13727 .24205 .28835 .34626 .28008 .22685 .24403 .30403 .28055 .27983

Std. Error .10457 .03915 .03147 .06460 .02245 .05604 .04419 .03999 .08161 .02720 .09261 .04455 .04216 .06613 .02718

95% Confidence Interval for Mean Lower Bound Upper Bound -.2072 .3304 .0330 .1931 .0706 .1970 -.0454 .2271 .0720 .1611 -.2999 -.0118 -.1094 .0714 -.1592 .0013 -.1829 .1615 -.1087 -.0008 -.1439 .3322 -.1851 -.0029 -.1395 .0298 -.2197 .0594 -.1157 -.0079

ANOVA

India

Indonesia

Thailand


Sum of Squares .046 5.565 5.610 .165 8.072 8.237 .186 8.037 8.222

df 3 102 105 3 102 105 3 102 105


F .280

Sig. .840

.055 .079

.695

.557

.062 .079

.785

.505

Minimum -.21 -.27 -.42 -.22 -.42 -.37 -.49 -.86 -.92 -.92 -.36 -.61 -.68 -.50 -.68

Maximum .48 .49 .69 .57 .69 -.02 .43 .45 .57 .57 .23 .38 .64 .58 .64

Oneway: COD (KUALITAS) Descriptives

N Italia

Korea

Amerika


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean -.1328 -.0036 .0120 -.0573 -.0124 -.1211 .0185 -.0325 -.0477 -.0256 .2539 -.0148 .0204 .1050 .0380

Std. Deviation .25042 .21284 .20822 .21282 .21303 .14553 .29074 .26494 .27518 .26813 .34576 .25436 .26832 .33045 .28389

Std. Error .10224 .03886 .02888 .05016 .02069 .05941 .05308 .03674 .06486 .02604 .14116 .04644 .03721 .07789 .02757

95% Confidence Interval for Mean Lower Bound Upper Bound -.3956 .1300 -.0831 .0758 -.0460 .0700 -.1631 .0485 -.0534 .0286 -.2738 .0316 -.0901 .1271 -.1062 .0413 -.1846 .0891 -.0773 .0260 -.1089 .6168 -.1098 .0801 -.0543 .0951 -.0593 .2694 -.0166 .0927

ANOVA

Italia

Korea

Amerika


Sum of Squares .157 4.608 4.765 .124 7.424 7.549 .460 8.002 8.463

df 3 102 105 3 102 105 3 102 105


F 1.155

Sig. .331

.041 .073

.569

.637

.153 .078

1.956

.125

Minimum -.44 -.47 -.46 -.37 -.47 -.32 -.59 -.55 -.56 -.59 -.40 -.64 -.51 -.62 -.64

Maximum .31 .43 .48 .33 .48 .10 .48 .74 .63 .74 .59 .48 .70 .59 .70

Oneway: HARGA (KUALITAS) Descriptives

N 215 jt

197,5 jt

185 jt


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean -.0773 .0908 .0665 -.0110 .0521 -.1072 -.0246 -.0717 .0194 -.0449 .1845 -.0662 .0052 -.0084 -.0072

Std. Deviation .27776 .21459 .23425 .18057 .22471 .25387 .27734 .31896 .23717 .29024 .40845 .22779 .29892 .21025 .27569

Std. Error .11340 .03918 .03249 .04256 .02183 .10364 .05064 .04423 .05590 .02819 .16675 .04159 .04145 .04956 .02678

95% Confidence Interval for Mean Lower Bound Upper Bound -.3687 .2142 .0107 .1709 .0013 .1317 -.1008 .0788 .0088 .0954 -.3736 .1592 -.1281 .0790 -.1605 .0171 -.0986 .1373 -.1008 .0110 -.2442 .6131 -.1513 .0188 -.0780 .0884 -.1129 .0962 -.0603 .0459

ANOVA

215 jt

197,5 jt

185 jt


Sum of Squares .228 5.074 5.302 .147 8.698 8.845 .333 7.647 7.980

df 3 102 105 3 102 105 3 102 105


F 1.526

Sig. .212

.049 .085

.577

.632

.111 .075

1.480

.224

Minimum -.43 -.28 -.52 -.25 -.52 -.53 -.47 -.76 -.38 -.76 -.20 -.67 -.68 -.36 -.68

Maximum .24 .69 .52 .30 .69 .19 .58 .56 .42 .58 .97 .30 .61 .37 .97


N Suzuki SX4

Hyundai i20

Chevrolet Aveo

Pegawai Negeri Pegawai Swasta Wiraswasta Total Pegawai Negeri Pegawai Swasta Wiraswasta Total Pegawai Negeri Pegawai Swasta Wiraswasta Total

Mean -.2721 .1869 .1207 .1370 .0111 -.1755 -.0604 -.0944 .2611 -.0114 -.0604 -.0426

1 32 73 106 1 32 73 106 1 32 73 106

Std. Deviation

Std. Error

95% Confidence Interval for Mean Lower Bound Upper Bound . . .0924 .2813 .0548 .1867 .0833 .1906 . . -.2719 -.0790 -.1181 -.0026 -.1439 -.0450 . . -.1003 .0775 -.1156 -.0052 -.0888 .0037

. .26198 .28263 .27852 . .26747 .24746 .25696 . .24653 .23655 .24023

. .04631 .03308 .02705 . .04728 .02896 .02496 . .04358 .02769 .02333


F 1.741

Sig. .180

.153 .064

2.378

.098

.073 .057

1.275

.284

ANOVA

Suzuki SX4

Hyundai i20

Chevrolet Aveo


Sum of Squares .266 7.879 8.145 .306 6.627 6.933 .146 5.913 6.059

df 2 103 105 2 103 105 2 103 105

Minimum -.27 -.38 -.77 -.77 .01 -.72 -.73 -.73 .26 -.40 -.68 -.68

Maximum -.27 .69 .71 .71 .01 .49 .51 .51 .26 .57 .54 .57


N Indonesia

India

Thailand


1 32 73 106 1 32 73 106 1 32 73 106

Mean -.2643 .0434 .0402 .0383 .0013 -.1055 -.0933 -.0961 .2630 .0621 .0531 .0578

95% Confidence Interval for Mean Lower Bound Upper Bound . . -.0369 .1237 -.0052 .0856 -.0009 .0776 . . -.2034 -.0076 -.1491 -.0375 -.1437 -.0485 . . -.0279 .1521 .0010 .1051 .0135 .1021

Std. Deviation . .22273 .19455 .20367 . .27164 .23921 .24728 . .24970 .22307 .23011

Std. Error . .03937 .02277 .01978 . .04802 .02800 .02402 . .04414 .02611 .02235


F 1.120

Sig. .330

.006 .062

.104

.902

.022 .054

.414

.662

ANOVA

Indonesia

India

Thailand


Sum of Squares .093 4.263 4.356 .013 6.407 6.420 .044 5.516 5.560

df 2 103 105 2 103 105 2 103 105

Minimum -.26 -.42 -.35 -.42 .00 -.57 -.91 -.91 .26 -.49 -.43 -.49

Maximum -.26 .47 .55 .55 .00 .63 .37 .63 .26 .55 .65 .65


N India

Indonesia

Thailand


1 32 73 106 1 32 73 106 1 32 73 106

Mean .2279 .1088 .1184 .1165 -.8639 -.0388 -.0507 -.0547 .6361 -.0700 -.0678 -.0618

Std. Deviation . .28462 .20698 .23116 . .27528 .26934 .28008 . .31512 .25419 .27983

Std. Error . .05032 .02423 .02245 . .04866 .03152 .02720 . .05571 .02975 .02718

95% Confidence Interval for Mean Lower Bound Upper Bound . . .0061 .2114 .0701 .1667 .0720 .1611 . . -.1380 .0605 -.1135 .0122 -.1087 -.0008 . . -.1836 .0436 -.1271 -.0085 -.1157 -.0079

ANOVA

India

Indonesia

Thailand


Sum of Squares .015 5.596 5.610 .664 7.572 8.237 .492 7.730 8.222

df 2 103 105 2 103 105 2 103 105


F .134

Sig. .875

.332 .074

4.517

.013

.246 .075

3.276

.042

Minimum .23 -.33 -.42 -.42 -.86 -.59 -.92 -.92 .64 -.68 -.61 -.68

Maximum .23 .61 .69 .69 -.86 .57 .45 .57 .64 .49 .58 .64


N Italia

Korea

Amerika


1 32 73 106 1 32 73 106 1 32 73 106

Mean -.1055 -.0110 -.0117 -.0124 .0527 -.0531 -.0147 -.0256 .0527 .0641 .0264 .0380

Std. Deviation . .26228 .19089 .21303 . .26273 .27310 .26813 . .31046 .27495 .28389

Std. Error . .04637 .02234 .02069 . .04645 .03196 .02604 . .05488 .03218 .02757


F

95% Confidence Interval for Mean Lower Bound Upper Bound . . -.1056 .0835 -.0562 .0328 -.0534 .0286 . . -.1478 .0416 -.0784 .0490 -.0773 .0260 . . -.0478 .1760 -.0378 .0905 -.0166 .0927

ANOVA

Italia

Korea

Amerika


Sum of Squares .009 4.756 4.765 .039 7.510 7.549 .032 8.431 8.463

df 2 103 105 2 103 105 2 103 105

.095

Sig. .910

.019 .073

.267

.766

.016 .082

.195

.823

Minimum -.11 -.44 -.47 -.47 .05 -.51 -.59 -.59 .05 -.51 -.64 -.64

Maximum -.11 .44 .48 .48 .05 .74 .63 .74 .05 .59 .70 .70


N 215 jt

197,5 jt

185 jt


1 32 73 106 1 32 73 106 1 32 73 106

Mean .2279 .0515 .0499 .0521 .3861 -.0453 -.0507 -.0449 -.6139 -.0062 .0007 -.0072

Std. Deviation . .17910 .24371 .22471 . .26742 .29907 .29024 . .26025 .27659 .27569

Std. Error . .03166 .02852 .02183 . .04727 .03500 .02819 . .04601 .03237 .02678


F

95% Confidence Interval for Mean Lower Bound Upper Bound . . -.0131 .1160 -.0069 .1068 .0088 .0954 . . -.1417 .0511 -.1204 .0191 -.1008 .0110 . . -.1000 .0876 -.0638 .0652 -.0603 .0459

ANOVA

215 jt

197,5 jt

185 jt


Sum of Squares .031 5.271 5.302 .188 8.657 8.845 .373 7.608 7.980

df 2 103 105 2 103 105 2 103 105

.305

Sig. .738

.094 .084

1.119

.330

.186 .074

2.523

.085

Minimum .23 -.38 -.52 -.52 .39 -.69 -.76 -.76 -.61 -.41 -.68 -.68

Maximum .23 .38 .69 .69 .39 .42 .58 .58 -.61 .56 .97 .97


N Suzuki SX4

Hyundai i20

Chevrolet Aveo

< Rp. 4.000.000,00 / bulan Rp. 4.000.000,00 - Rp. 6.000.000,00 / bulan Rp. 6.000.000,00 - Rp. 8.000.000,00 Rp. 8.000.000,00 - Rp. 10.000.000,00 / bulan > Rp. 10.000.000,00 Total < Rp. 4.000.000,00 / bulan Rp. 4.000.000,00 - Rp. 6.000.000,00 / bulan Rp. 6.000.000,00 - Rp. 8.000.000,00 Rp. 8.000.000,00 - Rp. 10.000.000,00 / bulan > Rp. 10.000.000,00 Total < Rp. 4.000.000,00 / bulan Rp. 4.000.000,00 - Rp. 6.000.000,00 / bulan Rp. 6.000.000,00 - Rp. 8.000.000,00 Rp. 8.000.000,00 - Rp. 10.000.000,00 / bulan > Rp. 10.000.000,00 Total

12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106

Mean .1944 .0250 .1442 .1476 .1081 .1370 -.1806 .0216 -.0027 -.1384 -.0005 -.0944 -.0139 -.0466 -.1416 -.0091 -.1076 -.0426

Std. Deviation .29061 .26789 .23117 .28924 .32424 .27852 .21706 .24241 .21199 .27213 .21572 .25696 .30594 .18423 .22085 .24300 .18919 .24023

Std. Error .08389 .08077 .05449 .03798 .12255 .02705 .06266 .07309 .04997 .03573 .08153 .02496 .08832 .05555 .05205 .03191 .07151 .02333

95% Confidence Interval for Mean Lower Bound Upper Bound .0098 .3791 -.1550 .2049 .0293 .2592 .0715 .2236 -.1918 .4079 .0833 .1906 -.3185 -.0426 -.1412 .1845 -.1081 .1027 -.2100 -.0669 -.2000 .1990 -.1439 -.0450 -.2083 .1805 -.1703 .0772 -.2514 -.0317 -.0730 .0548 -.2826 .0674 -.0888 .0037

ANOVA

Suzuki SX4

Hyundai i20

Chevrolet Aveo


Sum of Squares .191 7.954 8.145 .563 6.370 6.933 .281 5.779 6.059

df 4 101 105 4 101 105 4 101 105


F .606

Sig. .659

.141 .063

2.231

.071

.070 .057

1.227

.304

Minimum -.38 -.28 -.29 -.77 -.27 -.77 -.47 -.26 -.47 -.73 -.31 -.73 -.41 -.25 -.51 -.68 -.35 -.68

Maximum .64 .48 .46 .71 .61 .71 .34 .51 .34 .49 .26 .51 .57 .26 .24 .54 .19 .57


Indonesia

India

Thailand

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean .0000 -.0453 .0705 .0566 .0013 .0383 -.0833 -.0723 .0062 -.1282 -.1527 -.0961 .0833 .1177 -.0767 .0716 .1514 .0578

Std. Deviation .20724 .24145 .16350 .19205 .31657 .20367 .21309 .17931 .23966 .24126 .41359 .24728 .16261 .22095 .19574 .25083 .12801 .23011

Std. Error .05983 .07280 .03854 .02522 .11965 .01978 .06151 .05407 .05649 .03168 .15632 .02402 .04694 .06662 .04614 .03293 .04839 .02235

ANOVA

Indonesia

India

Thailand


Sum of Squares .142 4.213 4.356 .279 6.142 6.420 .445 5.115 5.560

df 4 101 105 4 101 105 4 101 105


F .852

Sig. .496

.070 .061

1.146

.339

.111 .051

2.197

.075

95% Confidence Interval for Mean Lower Bound Upper Bound -.1317 .1317 -.2075 .1169 -.0108 .1518 .0061 .1071 -.2915 .2941 -.0009 .0776 -.2187 .0521 -.1928 .0481 -.1130 .1254 -.1916 -.0648 -.5352 .2298 -.1437 -.0485 -.0200 .1866 -.0308 .2661 -.1740 .0207 .0056 .1375 .0330 .2698 .0135 .1021

Minimum -.42 -.35 -.23 -.38 -.33 -.42 -.52 -.35 -.32 -.71 -.91 -.91 -.14 -.26 -.41 -.49 .03 -.49

Maximum .30 .37 .39 .55 .55 .55 .17 .31 .37 .63 .25 .63 .32 .43 .33 .65 .36 .65


India

Indonesia

Thailand

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean .0694 .1765 .0516 .1303 .1557 .1165 -.0243 -.1223 -.0397 -.0652 .0472 -.0547 -.0451 -.0542 -.0119 -.0652 -.2028 -.0618

Std. Deviation .28478 .17291 .21398 .23207 .26059 .23116 .21782 .37530 .21506 .30212 .16972 .28008 .31302 .32544 .22308 .28546 .26009 .27983

Std. Error .08221 .05213 .05044 .03047 .09849 .02245 .06288 .11316 .05069 .03967 .06415 .02720 .09036 .09812 .05258 .03748 .09831 .02718

ANOVA

India

Indonesia

Thailand


Sum of Squares .164 5.447 5.610 .144 8.092 8.237 .189 8.034 8.222

df 4 101 105 4 101 105 4 101 105


F .759

Sig. .554

.036 .080

.451

.772

.047 .080

.593

.669

95% Confidence Interval for Mean Lower Bound Upper Bound -.1115 .2504 .0603 .2927 -.0548 .1581 .0693 .1914 -.0853 .3967 .0720 .1611 -.1627 .1141 -.3745 .1298 -.1467 .0672 -.1446 .0143 -.1098 .2041 -.1087 -.0008 -.2440 .1537 -.2728 .1645 -.1229 .0990 -.1402 .0099 -.4434 .0377 -.1157 -.0079

Minimum -.26 -.22 -.33 -.42 -.13 -.42 -.37 -.86 -.47 -.92 -.14 -.92 -.68 -.50 -.40 -.57 -.61 -.68

Maximum .61 .43 .44 .69 .50 .69 .40 .30 .34 .57 .30 .57 .25 .64 .41 .58 .11 .64


Italia

Korea

Amerika

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean -.0833 -.0205 .0331 .0010 -.1062 -.0124 -.0625 -.0807 -.0443 -.0027 -.0183 -.0256 .1458 .1011 .0112 .0016 .1245 .0380

Std. Deviation .28244 .16253 .20904 .20609 .21945 .21303 .28687 .36666 .25682 .26104 .18573 .26813 .36439 .30304 .32965 .24042 .32043 .28389

Std. Error .08153 .04900 .04927 .02706 .08294 .02069 .08281 .11055 .06053 .03428 .07020 .02604 .10519 .09137 .07770 .03157 .12111 .02757

ANOVA

Italia

Korea

Amerika


Sum of Squares .170 4.595 4.765 .087 7.462 7.549 .325 8.137 8.463

df 4 101 105 4 101 105 4 101 105


F .937

Sig. .446

.022 .074

.294

.881

.081 .081

1.010

.406

95% Confidence Interval for Mean Lower Bound Upper Bound -.2628 .0961 -.1297 .0887 -.0708 .1371 -.0532 .0552 -.3092 .0967 -.0534 .0286 -.2448 .1198 -.3270 .1657 -.1721 .0834 -.0713 .0660 -.1901 .1535 -.0773 .0260 -.0857 .3774 -.1024 .3047 -.1527 .1751 -.0616 .0649 -.1718 .4209 -.0166 .0927

Minimum -.44 -.24 -.36 -.47 -.46 -.47 -.51 -.56 -.52 -.59 -.22 -.59 -.43 -.51 -.64 -.62 -.33 -.64

Maximum .44 .29 .43 .48 .16 .48 .57 .74 .36 .63 .26 .74 .59 .54 .59 .70 .60 .70


N 215 jt

197,5 jt

185 jt


12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106

Mean -.0417 -.0053 .0331 .0815 .1081 .0521 -.1146 .0822 -.0582 -.0472 -.0719 -.0449 .1562 -.0769 .0251 -.0343 -.0362 -.0072

Std. Deviation .20593 .24813 .22774 .22300 .21722 .22471 .27785 .28688 .31798 .29327 .22620 .29024 .32511 .33569 .24668 .27036 .09023 .27569

Std. Error .05945 .07481 .05368 .02928 .08210 .02183 .08021 .08650 .07495 .03851 .08549 .02819 .09385 .10122 .05814 .03550 .03411 .02678

ANOVA

215 jt

197,5 jt

185 jt


Sum of Squares .220 5.082 5.302 .245 8.600 8.845 .441 7.539 7.980

df 4 101 105 4 101 105 4 101 105


F 1.095

Sig. .363

.061 .085

.718

.581

.110 .075

1.478

.215

95% Confidence Interval for Mean Lower Bound Upper Bound -.1725 .0892 -.1720 .1614 -.0801 .1464 .0229 .1401 -.0928 .3090 .0088 .0954 -.2911 .0620 -.1105 .2749 -.2164 .0999 -.1243 .0299 -.2811 .1373 -.1008 .0110 -.0503 .3628 -.3024 .1486 -.0976 .1478 -.1054 .0368 -.1196 .0473 -.0603 .0459

Minimum -.43 -.36 -.23 -.52 -.13 -.52 -.56 -.31 -.74 -.76 -.50 -.76 -.20 -.61 -.26 -.68 -.15 -.68

Maximum .24 .38 .48 .69 .50 .69 .35 .56 .34 .58 .19 .58 .97 .43 .56 .61 .10 .97

Oneway: Merek (MINAT BELI) Descriptives

N Suzuki SX4

Hyundai i20

Chevrolet Aveo


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean .1897 .2365 .1864 .2509 .2117 -.0115 -.0516 -.1221 -.1810 -.1059 -.1782 -.1849 -.0644 -.0699 -.1059

Std. Deviation .15785 .19971 .29314 .26999 .25792 .18311 .23563 .25230 .27444 .24998 .11074 .31563 .25899 .21565 .26714

Std. Error .06444 .03646 .04065 .06364 .02505 .07475 .04302 .03499 .06469 .02428 .04521 .05763 .03592 .05083 .02595

95% Confidence Interval for Mean Lower Bound Upper Bound .0240 .3553 .1619 .3110 .1048 .2681 .1166 .3851 .1621 .2614 -.2037 .1807 -.1396 .0364 -.1923 -.0518 -.3175 -.0445 -.1540 -.0577 -.2944 -.0620 -.3028 -.0670 -.1365 .0077 -.1771 .0374 -.1573 -.0544

ANOVA

Suzuki SX4

Hyundai i20

Chevrolet Aveo


Sum of Squares .082 6.903 6.985 .257 6.305 6.562 .332 7.162 7.493

df 3 102 105 3 102 105 3 102 105


F .404

Sig. .750

.086 .062

1.387

.251

.111 .070

1.574

.200

Minimum -.08 -.21 -.66 -.09 -.66 -.18 -.50 -.73 -.77 -.77 -.37 -.96 -.83 -.52 -.96

Maximum .36 .77 .92 .78 .92 .29 .54 .55 .29 .55 -.05 .32 .58 .26 .58

Oneway: COM (MINAT BELI) Descriptives

N Indonesia

India

Thailand


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean .0378 -.0156 -.0588 -.0229 -.0350 -.2383 .0135 -.0078 -.0888 -.0285 .2005 .0021 .0666 .1117 .0636

Std. Deviation .21895 .27054 .26494 .31137 .27019 .16509 .34838 .25842 .36168 .30379 .27356 .29313 .23678 .25316 .25972

Std. Error .08939 .04939 .03674 .07339 .02624 .06740 .06360 .03584 .08525 .02951 .11168 .05352 .03283 .05967 .02523

95% Confidence Interval for Mean Lower Bound Upper Bound -.1920 .2675 -.1166 .0854 -.1326 .0149 -.1777 .1320 -.0871 .0170 -.4115 -.0650 -.1165 .1436 -.0797 .0642 -.2687 .0910 -.0871 .0300 -.0866 .4876 -.1074 .1115 .0007 .1325 -.0142 .2376 .0136 .1136

ANOVA

Indonesia

India

Thailand


Sum of Squares .075 7.590 7.665 .405 9.286 9.690 .268 6.815 7.083

df 3 102 105 3 102 105 3 102 105


F .337

Sig. .799

.135 .091

1.483

.224

.089 .067

1.338

.266

Minimum -.20 -.48 -.92 -.54 -.92 -.48 -.70 -.51 -.68 -.70 -.13 -.71 -.59 -.54 -.71

Maximum .39 .49 .52 .71 .71 .01 .70 .47 .52 .70 .68 .51 .54 .42 .68

Oneway: COA (MINAT BELI) Descriptives

N India

Indonesia

Thailand


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean .0230 .1198 .1031 .0657 .0969 -.0532 -.0891 -.0323 -.0051 -.0449 .0302 -.0307 -.0708 -.0606 -.0520

Std. Deviation .18187 .24822 .18734 .18227 .20412 .18980 .33321 .32361 .26695 .30935 .33741 .29529 .26487 .21601 .26803

Std. Error .07425 .04532 .02598 .04296 .01983 .07749 .06084 .04488 .06292 .03005 .13775 .05391 .03673 .05091 .02603

95% Confidence Interval for Mean Lower Bound Upper Bound -.1679 .2139 .0271 .2125 .0510 .1553 -.0250 .1563 .0576 .1363 -.2524 .1460 -.2135 .0354 -.1224 .0578 -.1378 .1277 -.1045 .0146 -.3239 .3843 -.1410 .0795 -.1445 .0030 -.1680 .0468 -.1036 -.0004

ANOVA

India

Indonesia

Thailand


Sum of Squares .068 4.307 4.375 .096 9.952 10.048 .074 7.469 7.543

df 3 102 105 3 102 105 3 102 105


F .537

Sig. .658

.032 .098

.327

.806

.025 .073

.336

.799

Minimum -.23 -.34 -.38 -.31 -.38 -.21 -.98 -.72 -.39 -.98 -.47 -.64 -.61 -.38 -.64

Maximum .21 .71 .45 .36 .71 .28 .45 .71 .41 .71 .37 .50 .53 .43 .53

Oneway: COD (MINAT BELI) Descriptives

N Italia

Korea

Amerika


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean -.1159 -.0247 -.0764 -.1010 -.0682 -.1296 -.0252 -.0580 -.0745 -.0555 .2454 .0498 .1343 .1755 .1237

Std. Deviation .31246 .29950 .26349 .21528 .26747 .20514 .19355 .22931 .19519 .21142 .23153 .28077 .28231 .22639 .27250

Std. Error .12756 .05468 .03654 .05074 .02598 .08375 .03534 .03180 .04601 .02054 .09452 .05126 .03915 .05336 .02647

95% Confidence Interval for Mean Lower Bound Upper Bound -.4438 .2120 -.1365 .0872 -.1497 -.0030 -.2080 .0061 -.1197 -.0166 -.3448 .0857 -.0974 .0471 -.1218 .0059 -.1716 .0226 -.0963 -.0148 .0025 .4884 -.0550 .1547 .0557 .2129 .0629 .2881 .0712 .1762

ANOVA

Italia

Korea

Amerika


Sum of Squares .093 7.418 7.512 .067 4.626 4.693 .307 7.490 7.797

df 3 102 105 3 102 105 3 102 105


F .428

Sig. .733

.022 .045

.495

.687

.102 .073

1.393

.249

Minimum -.64 -.67 -.64 -.53 -.67 -.44 -.38 -.57 -.47 -.57 -.12 -.56 -.55 -.18 -.56

Maximum .24 .44 .50 .12 .50 .12 .37 .45 .27 .45 .57 .51 .95 .63 .95

Oneway: HARGA (MINAT BELI) Descriptives

N 215 jt

197,5 jt

185 jt


6 30 52 18 106 6 30 52 18 106 6 30 52 18 106

Mean .0508 .0253 .0006 -.0639 -.0005 -.1712 -.0710 -.1109 -.0652 -.0952 .1204 .0457 .1103 .1292 .0958

Std. Deviation .34343 .26079 .25957 .27903 .26601 .17813 .25948 .31775 .25208 .28321 .23968 .31918 .30670 .30232 .30398

Std. Error .14020 .04761 .03600 .06577 .02584 .07272 .04737 .04406 .05942 .02751 .09785 .05827 .04253 .07126 .02953

95% Confidence Interval for Mean Lower Bound Upper Bound -.3096 .4112 -.0720 .1227 -.0717 .0728 -.2027 .0748 -.0518 .0507 -.3582 .0157 -.1679 .0259 -.1993 -.0224 -.1906 .0601 -.1498 -.0407 -.1311 .3720 -.0735 .1648 .0249 .1957 -.0211 .2795 .0372 .1543

ANOVA

215 jt

197,5 jt

185 jt


Sum of Squares .108 7.322 7.430 .081 8.341 8.422 .110 9.593 9.703

df 3 102 105 3 102 105 3 102 105


F .503

Sig. .681

.027 .082

.331

.803

.037 .094

.390

.760

Minimum -.57 -.64 -.48 -.60 -.64 -.40 -.71 -.87 -.57 -.87 -.12 -.50 -.58 -.38 -.58

Maximum .30 .67 .63 .45 .67 .03 .46 .68 .37 .68 .53 .69 1.11 .90 1.11

Oneway: MEREK (MINAT BELI) Descriptives

N Suzuki SX4

Hyundai i20

Chevrolet Aveo


1 32 73 106 1 32 73 106 1 32 73 106

Mean -.1914 .2103 .2179 .2117 -.2793 -.0973 -.1072 -.1059 .4707 -.1130 -.1107 -.1059

95% Confidence Interval for Mean Lower Bound Upper Bound . . .1265 .2941 .1555 .2802 .1621 .2614 . . -.1869 -.0077 -.1663 -.0482 -.1540 -.0577 . . -.1811 -.0448 -.1783 -.0430 -.1573 -.0544

Std. Deviation . .23252 .26728 .25792 . .24852 .25316 .24998 . .18897 .28989 .26714

Std. Error . .04110 .03128 .02505 . .04393 .02963 .02428 . .03341 .03393 .02595


F 1.249

Sig. .291

.016 .063

.257

.774

.168 .069

2.415

.094

ANOVA

Suzuki SX4

Hyundai i20

Chevrolet Aveo


Sum of Squares .165 6.820 6.985 .033 6.529 6.562 .336 7.158 7.493

df 2 103 105 2 103 105 2 103 105

Minimum -.19 -.21 -.66 -.66 -.28 -.77 -.73 -.77 .47 -.52 -.96 -.96

Maximum -.19 .78 .92 .92 -.28 .35 .55 .55 .47 .29 .58 .58


N Indonesia

India

Thailand


1 32 73 106 1 32 73 106 1 32 73 106

Mean -.2513 -.0410 -.0294 -.0350 .0456 -.0957 -.0001 -.0285 .2057 .1367 .0296 .0636

Std. Deviation . .33165 .24168 .27019 . .33092 .29076 .30379 . .26545 .25338 .25972

Std. Error . .05863 .02829 .02624 . .05850 .03403 .02951 . .04693 .02966 .02523


F

95% Confidence Interval for Mean Lower Bound Upper Bound . . -.1606 .0786 -.0858 .0269 -.0871 .0170 . . -.2150 .0236 -.0680 .0677 -.0871 .0300 . . .0410 .2324 -.0295 .0887 .0136 .1136

ANOVA

Indonesia

India

Thailand


Sum of Squares .050 7.615 7.665 .209 9.482 9.690 .276 6.807 7.083

df 2 103 105 2 103 105 2 103 105

.339

Sig. .713

.104 .092

1.134

.326

.138 .066

2.087

.129

Minimum -.25 -.92 -.48 -.92 .05 -.68 -.70 -.70 .21 -.39 -.71 -.71

Maximum -.25 .71 .52 .71 .05 .52 .70 .70 .21 .68 .49 .68


N India

Indonesia

Thailand


1 32 73 106 1 32 73 106 1 32 73 106

Mean .1419 .0905 .0992 .0969 -.1960 -.0492 -.0410 -.0449 .0540 -.0413 -.0581 -.0520

95% Confidence Interval for Mean Lower Bound Upper Bound . . .0298 .1512 .0478 .1505 .0576 .1363 . . -.1497 .0514 -.1169 .0348 -.1045 .0146 . . -.1436 .0609 -.1198 .0035 -.1036 -.0004

Std. Deviation . .16834 .22025 .20412 . .27895 .32513 .30935 . .28368 .26433 .26803

Std. Error . .02976 .02578 .01983 . .04931 .03805 .03005 . .05015 .03094 .02603


F .044

Sig. .957

.012 .097

.126

.882

.009 .073

.121

.886

ANOVA

India

Indonesia

Thailand


Sum of Squares .004 4.371 4.375 .025 10.024 10.048 .018 7.525 7.543

df 2 103 105 2 103 105 2 103 105

Minimum .14 -.23 -.38 -.38 -.20 -.64 -.98 -.98 .05 -.64 -.61 -.64

Maximum .14 .37 .71 .71 -.20 .55 .71 .71 .05 .46 .53 .53


N Italia

Korea

Amerika


1 32 73 106 1 32 73 106 1 32 73 106

Mean -.1914 -.0710 -.0652 -.0682 -.2793 -.0505 -.0547 -.0555 .4707 .1214 .1199 .1237

95% Confidence Interval for Mean Lower Bound Upper Bound . . -.1718 .0298 -.1272 -.0033 -.1197 -.0166 . . -.1344 .0335 -.1020 -.0074 -.0963 -.0148 . . .0271 .2157 .0551 .1848 .0712 .1762

Std. Deviation . .27960 .26542 .26747 . .23294 .20278 .21142 . .26148 .27779 .27250

Std. Error . .04943 .03106 .02598 . .04118 .02373 .02054 . .04622 .03251 .02647


F .110

Sig. .896

.025 .045

.565

.570

.061 .075

.816

.445

ANOVA

Italia

Korea

Amerika


Sum of Squares .016 7.496 7.512 .051 4.643 4.693 .122 7.675 7.797

df 2 103 105 2 103 105 2 103 105

Minimum -.19 -.64 -.67 -.67 -.28 -.57 -.55 -.57 .47 -.55 -.56 -.56

Maximum -.19 .39 .50 .50 -.28 .45 .41 .45 .47 .63 .95 .95


N 215 jt

197,5 jt

185 jt


1 32 73 106 1 32 73 106 1 32 73 106

Mean -.3581 .0280 -.0082 -.0005 .6790 -.1117 -.0987 -.0952 -.3210 .0837 .1068 .0958

95% Confidence Interval for Mean Lower Bound Upper Bound . . -.0849 .1408 -.0647 .0484 -.0518 .0507 . . -.2158 -.0075 -.1615 -.0358 -.1498 -.0407 . . -.0170 .1843 .0335 .1801 .0372 .1543

Std. Deviation . .31299 .24253 .26601 . .28892 .26939 .28321 . .27906 .31405 .30398

Std. Error


F 1.120

Sig. .330

.304 .076

4.014

.021

.094 .092

1.014

.367

. .05533 .02839 .02584 . .05107 .03153 .02751 . .04933 .03676 .02953

ANOVA

215 jt

197,5 jt

185 jt


Sum of Squares .158 7.272 7.430 .609 7.813 8.422 .187 9.515 9.703

df 2 103 105 2 103 105 2 103 105

Minimum -.36 -.57 -.64 -.64 .68 -.87 -.66 -.87 -.32 -.39 -.58 -.58

Maximum -.36 .67 .45 .67 .68 .43 .67 .68 -.32 .64 1.11 1.11

Oneway: MEREK (MINAT BELI) Descriptives

Suzuki SX4

Hyundai i20

Chevrolet Aveo

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean .2601 .1241 .1427 .2337 .2621 .2117 -.0155 -.0848 -.0505 -.1492 -.0775 -.1059 -.2446 -.0393 -.0922 -.0845 -.1846 -.1059

Std. Deviation .15000 .24250 .21276 .29111 .22560 .25792 .16484 .28148 .26800 .25013 .26169 .24998 .16265 .29417 .32579 .25681 .26469 .26714

Std. Error .04330 .07312 .05015 .03822 .08527 .02505 .04758 .08487 .06317 .03284 .09891 .02428 .04695 .08870 .07679 .03372 .10004 .02595

95% Confidence Interval for Mean Lower Bound Upper Bound .1648 .3554 -.0389 .2870 .0369 .2485 .1571 .3102 .0534 .4707 .1621 .2614 -.1202 .0893 -.2739 .1043 -.1838 .0827 -.2149 -.0834 -.3195 .1645 -.1540 -.0577 -.3480 -.1413 -.2369 .1583 -.2542 .0698 -.1520 -.0170 -.4294 .0602 -.1573 -.0544

ANOVA

Suzuki SX4

Hyundai i20

Chevrolet Aveo


Sum of Squares .244 6.741 6.985 .272 6.289 6.562 .353 7.140 7.493

df 4 101 105 4 101 105 4 101 105


F .914

Sig. .459

.068 .062

1.094

.364

.088 .071

1.248

.295

Minimum -.08 -.19 -.18 -.66 .05 -.66 -.18 -.54 -.40 -.77 -.50 -.77 -.52 -.47 -.96 -.83 -.48 -.96

Maximum .55 .68 .49 .92 .71 .92 .29 .35 .55 .33 .23 .55 -.05 .47 .46 .58 .25 .58


Indonesia

India

Thailand

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean .0155 .0161 .0156 -.0714 -.0307 -.0350 -.1889 -.0180 -.0305 .0037 -.0329 -.0285 .1734 .0019 .0149 .0677 .0636 .0636

Std. Deviation .28403 .41034 .27883 .23531 .26898 .27019 .25737 .34304 .34198 .27955 .40250 .30379 .22255 .34749 .31663 .23486 .20496 .25972

Std. Error .08199 .12372 .06572 .03090 .10167 .02624 .07430 .10343 .08061 .03671 .15213 .02951 .06424 .10477 .07463 .03084 .07747 .02523

ANOVA

Indonesia

India

Thailand


Sum of Squares .182 7.483 7.665 .371 9.320 9.690 .230 6.853 7.083

df 4 101 105 4 101 105 4 101 105


F .615

Sig. .653

.093 .092

1.004

.409

.058 .068

.848

.498

95% Confidence Interval for Mean Lower Bound Upper Bound -.1649 .1960 -.2596 .2918 -.1231 .1542 -.1333 -.0095 -.2795 .2181 -.0871 .0170 -.3524 -.0254 -.2484 .2125 -.2005 .1396 -.0698 .0773 -.4052 .3393 -.0871 .0300 .0320 .3148 -.2316 .2353 -.1426 .1724 .0059 .1294 -.1259 .2532 .0136 .1136

Minimum -.63 -.92 -.54 -.48 -.34 -.92 -.48 -.65 -.54 -.68 -.70 -.70 -.13 -.59 -.71 -.40 -.30 -.71

Maximum .48 .52 .49 .71 .41 .71 .47 .38 .70 .52 .37 .70 .68 .54 .42 .51 .28 .68


India

Indonesia

Thailand

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean -.0177 .1847 .1149 .0957 .1192 .0969 -.0224 -.1378 .0259 -.0543 -.0418 -.0449 .0401 -.0469 -.1408 -.0414 -.0775 -.0520

Std. Deviation .18041 .18015 .13528 .21686 .27351 .20412 .20386 .31768 .25052 .34644 .28204 .30935 .24628 .24650 .25306 .28177 .25786 .26803

Std. Error .05208 .05432 .03189 .02848 .10338 .01983 .05885 .09578 .05905 .04549 .10660 .03005 .07109 .07432 .05965 .03700 .09746 .02603

ANOVA

India

Indonesia

Thailand


Sum of Squares .252 4.123 4.375 .196 9.852 10.048 .255 7.288 7.543

df 4 101 105 4 101 105 4 101 105


F 1.541

Sig. .196

.049 .098

.503

.733

.064 .072

.884

.477

95% Confidence Interval for Mean Lower Bound Upper Bound -.1323 .0969 .0636 .3057 .0477 .1822 .0387 .1528 -.1337 .3722 .0576 .1363 -.1519 .1071 -.3512 .0756 -.0987 .1504 -.1454 .0368 -.3026 .2191 -.1045 .0146 -.1164 .1966 -.2125 .1187 -.2666 -.0150 -.1155 .0327 -.3160 .1610 -.1036 -.0004

Minimum -.25 -.21 -.11 -.38 -.29 -.38 -.39 -.72 -.33 -.98 -.41 -.98 -.47 -.38 -.64 -.61 -.35 -.64

Maximum .28 .37 .36 .71 .45 .71 .31 .37 .55 .71 .41 .71 .37 .53 .21 .50 .39 .53


Italia

Korea

Amerika

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean -.0732 -.0729 -.0610 -.0652 -.0951 -.0682 -.0988 -.0658 -.0042 -.0687 .0118 -.0555 .1720 .1387 .0652 .1339 .0832 .1237

Std. Deviation .22884 .23229 .31602 .25629 .39736 .26747 .23455 .22981 .23397 .19626 .23142 .21142 .23091 .21915 .30011 .28346 .29140 .27250

Std. Error .06606 .07004 .07449 .03365 .15019 .02598 .06771 .06929 .05515 .02577 .08747 .02054 .06666 .06608 .07074 .03722 .11014 .02647

ANOVA

Italia

Korea

Amerika


Sum of Squares .007 7.505 7.512 .113 4.581 4.693 .110 7.687 7.797

df 4 101 105 4 101 105 4 101 105


F .024

Sig. .999

.028 .045

.622

.648

.027 .076

.360

.837

95% Confidence Interval for Mean Lower Bound Upper Bound -.2186 .0722 -.2290 .0831 -.2181 .0962 -.1326 .0022 -.4625 .2724 -.1197 -.0166 -.2478 .0502 -.2202 .0886 -.1206 .1121 -.1203 -.0171 -.2022 .2258 -.0963 -.0148 .0253 .3188 -.0085 .2860 -.0840 .2145 .0593 .2084 -.1863 .3527 .0712 .1762

Minimum -.64 -.51 -.64 -.64 -.67 -.67 -.47 -.53 -.57 -.55 -.21 -.57 -.13 -.24 -.55 -.56 -.22 -.56

Maximum .24 .31 .44 .50 .43 .50 .37 .26 .45 .41 .34 .45 .57 .47 .48 .95 .45 .95


215 jt

197,5 jt

185 jt

N 12 11 18 58 7 106 12 11 18 58 7 106 12 11 18 58 7 106


Mean .1351 -.0123 -.0795 -.0221 .1669 -.0005 -.2550 -.0052 -.0644 -.0795 -.1727 -.0952 .1200 .0175 .1439 .1016 .0059 .0958

Std. Deviation .28613 .30739 .25544 .25588 .17605 .26601 .27529 .33219 .25081 .28358 .24579 .28321 .19020 .35670 .31514 .31118 .32918 .30398

Std. Error .08260 .09268 .06021 .03360 .06654 .02584 .07947 .10016 .05912 .03724 .09290 .02751 .05490 .10755 .07428 .04086 .12442 .02953

95% Confidence Interval for Mean Lower Bound Upper Bound -.0467 .3169 -.2188 .1942 -.2065 .0475 -.0893 .0452 .0040 .3297 -.0518 .0507 -.4300 -.0801 -.2284 .2180 -.1891 .0603 -.1540 -.0049 -.4000 .0546 -.1498 -.0407 -.0009 .2408 -.2221 .2572 -.0128 .3006 .0197 .1834 -.2986 .3103 .0372 .1543

ANOVA

215 jt

197,5 jt

185 jt


Sum of Squares .558 6.873 7.430 .469 7.953 8.422 .175 9.528 9.703

df 4 101 105 4 101 105 4 101 105


F 2.048

Sig. .093

.117 .079

1.489

.211

.044 .094

.463

.763

Minimum -.57 -.55 -.64 -.60 -.05 -.64 -.87 -.35 -.66 -.71 -.43 -.87 -.12 -.32 -.39 -.58 -.50 -.58

Maximum .49 .45 .42 .67 .38 .67 .03 .68 .36 .67 .25 .68 .53 .90 .69 1.11 .40 1.11

Lampiran V Data Hasil Kuesioner

Case Summaries 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68

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

Pekerjaan 3 1 2 3 3 3 2 2 3 2 3 2 2 3 3 2 3 2 2 2 3 2 2 3 3 3 2 3 3 2 2 2 3 3 3 2 3 3 3 2 3 2 2 3 3 3 2 3 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 3 3

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

KLTS_1 3 2 2 4 3 3 2 2 3 3 3 2 3 2 4 3 3 4 4 2 5 2 4 3 3 3 3 3 4 4 2 3 4 3 3 3 3 3 3 3 3 3 3 4 3 3 2 4 3 3 3 3 4 4 3 4 3 3 4 3 4 4 4 4 3 2 3 3

KLTS_2 4 4 4 4 3 5 3 3 4 2 2 2 2 3 3 4 3 2 2 3 3 3 3 4 4 3 2 2 3 4 3 3 3 4 3 4 2 3 3 3 4 3 3 4 4 3 3 4 3 2 4 3 4 3 4 3 3 3 3 3 4 3 4 3 3 2 3 3

KLTS_3 2 2 2 4 3 4 4 4 4 3 4 3 3 4 3 4 3 3 4 4 3 3 5 4 2 2 3 3 2 4 2 3 4 5 3 4 5 4 3 3 3 3 3 4 3 4 5 3 3 4 2 4 3 4 3 3 3 4 4 4 4 5 4 4 4 4 3 4

KLTS_4 2 2 2 3 2 4 4 3 3 3 3 4 4 4 5 3 4 3 4 3 3 3 4 4 3 3 4 3 3 2 3 3 3 3 4 3 4 4 4 4 3 3 3 4 3 3 5 4 4 3 3 4 3 4 3 3 3 4 3 3 4 5 5 2 3 4 4 3

KLTS_5 4 4 4 3 3 5 2 3 2 3 2 4 3 3 3 2 4 3 2 3 4 3 3 2 3 3 3 3 3 4 3 3 4 3 4 4 4 3 4 3 3 2 4 3 3 3 4 3 4 4 3 3 3 3 4 2 4 4 3 4 4 3 4 4 3 3 5 4

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68

KLTS_6 4 3 4 4 2 4 3 3 3 2 3 2 2 2 2 3 2 4 2 4 4 4 2 3 3 3 3 4 2 3 3 4 3 4 3 3 5 3 3 4 4 3 3 3 4 5 3 4 3 3 3 4 4 3 4 3 3 3 4 4 4 5 4 3 3 4 3 4

KLTS_7 4 4 3 3 3 2 3 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 2 3 3 4 4 4 2 2 3 4 3 4 4 3 4 3 4 4 2 4 3 5 3 3 3 3 3 3 4 4 4 4 4 3 3 3 3 3 4 4 4 3 3 3

KLTS_8 4 4 3 3 2 4 2 2 3 2 3 3 3 3 3 4 3 3 2 3 3 2 3 3 3 4 2 4 2 3 3 3 3 3 3 3 3 4 4 3 3 3 4 3 4 4 3 3 3 3 3 3 5 4 4 3 3 3 3 4 4 3 4 4 3 3 3 3

KLTS_9 4 4 3 3 4 4 2 2 4 3 4 4 3 4 3 4 3 4 2 4 4 2 3 3 3 4 2 4 3 3 3 4 3 5 3 3 3 4 4 3 3 3 4 3 4 4 3 4 4 3 3 3 5 4 4 3 3 3 3 4 3 3 4 3 4 4 3 2

KLTS_10 4 4 3 3 2 4 2 2 3 4 4 4 3 4 3 4 3 4 3 3 4 3 4 3 3 4 3 4 3 4 4 4 3 5 3 3 3 3 4 3 3 3 3 3 4 4 3 4 3 4 3 3 5 4 4 3 3 3 2 4 3 3 3 3 4 4 3 3

KLTS_11 2 2 2 4 2 5 2 2 3 3 3 3 3 3 3 2 4 3 4 3 2 2 4 3 3 3 4 4 4 3 3 4 3 5 4 4 4 3 3 3 4 4 4 4 3 4 5 2 4 4 3 4 3 4 4 3 4 4 4 5 3 4 4 3 2 3 4 3

KLTS_12 4 2 2 4 4 5 3 2 2 2 2 3 2 4 3 2 4 4 3 3 3 3 3 4 2 4 3 3 3 3 3 3 2 4 4 4 3 3 3 4 4 2 3 3 4 3 4 3 3 3 2 3 4 2 2 3 3 3 3 3 4 2 3 3 2 4 3 4

KLTS_13 3 2 3 4 2 3 2 2 3 3 2 3 2 3 2 3 2 3 3 2 2 3 3 3 3 4 3 2 4 2 4 2 4 4 2 3 3 3 4 2 3 4 3 3 3 3 2 3 2 3 3 4 4 4 3 3 3 2 3 3 3 3 3 3 3 3 3 4

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68

KLTS_14 4 3 4 5 3 4 3 3 2 3 3 3 3 3 5 4 2 3 3 4 3 4 4 4 4 3 3 4 3 3 3 3 3 5 5 4 3 3 3 3 3 3 3 3 3 3 3 3 4 3 4 3 3 4 3 3 4 4 5 5 4 5 3 3 3 4 3 4

KLTS_15 2 2 3 3 2 5 5 5 2 3 3 3 3 3 3 5 3 3 5 5 5 2 3 3 4 3 3 5 3 3 3 2 3 5 3 4 3 4 5 5 3 4 3 4 4 4 3 3 4 4 3 3 3 4 4 4 4 4 4 5 4 3 3 3 4 4 4 3

KLTS_16 4 3 3 3 3 2 3 3 3 3 3 3 3 2 3 4 3 2 3 3 3 4 3 2 4 4 2 5 4 3 4 3 3 3 3 4 4 4 4 3 4 4 3 4 3 4 3 3 3 4 3 3 2 4 3 5 4 4 4 4 4 4 4 3 3 4 3 4

KLTS_17 4 3 5 4 5 4 3 2 4 3 3 5 3 5 3 3 4 5 3 3 4 3 4 3 4 5 4 4 4 4 4 4 4 5 4 5 4 3 4 5 3 3 4 4 5 3 3 4 3 4 3 3 5 5 3 5 4 4 3 4 4 5 3 4 4 4 3 4

KLTS_18 2 2 2 3 3 4 4 4 3 3 3 3 3 3 3 3 2 2 3 3 3 4 4 2 3 2 4 4 4 3 3 4 3 3 3 2 4 4 4 5 3 4 3 4 3 3 3 4 4 3 3 4 3 3 2 3 3 3 3 4 3 4 4 4 4 3 3 3

KLTS_19 3 2 3 5 2 3 3 3 3 3 3 3 2 2 2 3 3 3 2 3 3 3 2 3 3 3 4 4 3 3 4 3 3 5 3 3 2 3 4 4 3 2 3 4 4 3 3 3 2 4 4 3 3 5 3 4 5 4 2 4 4 3 3 4 4 3 4 3

MBL_1 2 2 1 3 3 2 1 2 2 3 2 1 2 1 3 2 2 3 3 1 3 1 3 2 3 2 2 2 3 3 1 2 3 2 1 2 2 1 2 2 2 2 2 3 2 2 1 3 2 2 2 2 3 3 2 3 3 2 3 2 3 3 3 3 2 1 2 2

MBL_2 2 1 2 2 2 3 3 3 2 2 2 2 2 2 2 2 1 1 2 2 2 3 3 1 2 1 3 3 3 2 2 3 2 2 2 1 3 3 3 4 2 3 2 3 2 2 2 3 3 2 2 3 2 2 1 2 2 2 2 3 2 3 3 3 3 2 2 2

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68

MBL_3 3 3 3 2 2 4 1 2 1 2 1 3 2 2 2 1 3 2 1 2 3 2 2 1 2 2 2 2 2 3 2 2 3 2 3 3 3 2 3 2 2 1 3 2 2 2 3 2 3 3 2 2 2 2 3 1 3 3 2 3 3 2 3 3 2 2 4 3

MBL_4 4 2 2 2 2 1 2 2 3 2 2 3 2 2 2 3 2 2 2 2 3 3 2 1 3 4 2 5 3 3 3 3 2 3 2 4 3 3 4 3 4 4 2 4 2 3 2 2 2 3 2 2 1 4 2 5 4 4 3 4 4 3 3 2 2 4 2 4

MBL_5 2 1 1 3 2 3 3 3 3 2 3 2 2 3 2 3 2 2 3 3 2 2 4 3 1 1 2 2 1 3 1 2 3 4 2 3 4 3 2 2 2 2 2 3 2 3 4 2 2 3 1 3 2 3 2 2 2 3 3 3 3 4 3 3 3 3 2 3

MBL_6 3 3 2 2 1 3 1 1 2 1 2 2 2 2 2 3 2 2 1 2 2 1 2 2 2 3 1 3 1 2 2 2 2 2 2 2 2 3 3 2 2 2 3 2 3 3 2 2 2 2 2 2 4 3 3 2 2 2 2 3 3 2 3 3 2 2 2 2

MBL_7 3 3 3 3 2 3 2 2 3 2 2 1 2 2 2 3 2 1 1 2 2 2 2 3 3 2 1 1 2 3 2 2 2 3 2 3 1 2 2 2 3 2 2 3 3 2 2 3 2 1 3 2 3 2 3 2 2 2 2 2 3 2 3 2 2 1 2 2

MBL_8 3 2 3 3 1 3 2 2 2 1 2 1 1 1 1 2 1 3 1 3 3 3 1 2 2 2 2 3 1 2 2 3 2 3 2 2 4 2 2 3 3 2 2 2 3 4 2 3 2 2 2 3 3 2 3 2 2 2 3 3 3 4 3 2 2 3 2 3

MBL_9 3 3 2 2 3 3 1 1 3 2 3 3 2 3 2 3 2 3 1 3 3 1 2 2 2 3 1 3 2 2 2 3 2 4 2 2 2 3 3 2 2 2 3 2 3 3 2 3 3 2 2 2 4 3 3 2 2 2 2 3 2 2 3 2 3 3 2 1

MBL_10 3 3 2 2 1 3 1 1 2 3 3 3 2 3 2 3 2 3 2 2 3 2 3 2 2 3 2 3 2 3 3 3 2 4 2 2 2 2 3 2 2 2 2 2 3 3 2 3 2 3 2 2 4 3 3 2 2 2 1 3 2 2 2 2 3 3 2 2

MBL_11 3 2 1 2 1 4 3 2 2 2 2 3 3 3 4 2 3 2 3 2 2 2 4 4 2 2 4 4 2 1 2 3 3 2 4 2 3 4 4 3 2 2 2 3 2 2 4 3 3 2 2 3 2 3 2 2 2 3 2 2 3 4 4 1 2 3 3 3

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68

MBL_12 3 1 1 3 3 4 2 1 1 1 1 2 1 3 2 1 3 3 2 2 2 2 2 3 1 3 2 2 2 2 2 2 1 3 3 3 2 2 2 3 3 1 2 2 3 2 3 2 2 2 1 2 3 1 1 2 2 2 2 2 3 1 2 2 1 3 2 3

MBL_13 2 1 2 3 1 2 1 1 2 2 1 2 1 2 1 2 1 2 2 1 1 2 2 2 2 3 2 1 3 1 3 1 3 3 1 2 2 2 3 1 2 3 2 2 2 2 1 2 1 2 2 3 3 3 2 2 2 1 2 2 2 2 2 2 2 2 2 3

MBL_14 3 2 4 3 4 3 2 1 3 2 2 4 2 4 2 2 3 4 2 2 3 2 3 2 3 4 3 3 3 3 3 3 3 4 3 4 3 2 3 4 2 2 3 3 4 2 2 3 2 3 2 2 4 4 2 4 3 3 2 3 3 4 2 3 3 3 2 3

MBL_15 1 1 1 3 1 4 1 1 2 2 2 2 2 2 2 1 3 2 3 2 1 1 3 2 2 2 3 3 3 2 2 3 2 4 3 3 3 2 2 2 3 3 3 3 2 3 4 1 3 3 2 3 2 3 3 2 3 3 3 4 2 3 3 2 1 2 3 2

MBL_16 3 2 3 4 2 3 2 2 1 2 2 2 2 2 4 3 1 2 2 3 2 3 3 3 3 2 2 3 2 2 2 2 2 4 4 3 2 2 2 2 2 2 2 2 2 2 2 2 3 2 3 2 2 3 2 2 3 3 4 4 3 4 2 2 2 3 2 3

MBL_17 2 1 2 2 1 4 4 4 1 2 2 2 2 2 2 4 2 2 4 4 4 1 2 2 3 2 2 4 2 2 2 1 2 4 2 3 2 3 4 4 2 3 2 3 3 3 2 2 3 3 2 2 2 3 3 3 3 3 3 4 3 2 2 2 3 3 3 2

MBL_18 4 3 2 2 2 1 2 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 1 2 2 3 3 3 2 1 2 3 2 3 3 2 3 2 3 3 1 3 2 4 2 2 2 2 2 2 3 3 3 3 3 2 2 2 2 2 3 3 3 2 2 2

MBL_19 2 1 2 4 1 2 2 2 2 2 2 2 1 1 1 2 2 2 1 2 2 2 1 2 2 2 3 3 2 2 3 2 2 4 2 2 1 2 3 3 2 1 2 3 3 2 2 2 1 3 3 2 2 4 2 3 4 3 1 3 3 2 2 3 3 2 3 2

Case Summaries

69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106

Usia

Pekerjaan

Pendapatan

KLTS_1

KLTS_2

KLTS_3

KLTS_4

KLTS_5

2

3

4

3

3

3

3

3

4

3

2

3

3

4

4

3

3

3

3

4

3

4

4

3

2

3

3

4

2

5

5

3

2

3

4

3

3

3

3

4

3

2

3

4

4

2

4

5

3

2

4

4

3

2

4

4

4

3

4

3

5

4

5

4

2

3

4

2

4

3

4

4

3

2

4

3

4

5

5

4

3

3

5

3

4

4

5

4

3

3

4

3

4

3

4

4

3

3

4

3

4

3

3

4

2

3

4

3

3

3

2

3

4

2

4

3

3

3

3

3

2

3

4

3

4

3

3

5

4

3

4

3

3

3

3

3

3

3

4

4

4

4

4

4

2

3

4

5

3

3

3

4

2

3

4

3

4

5

4

4

2

3

3

4

5

3

3

4

3

3

5

4

4

5

5

4

3

3

4

3

4

4

4

3

2

2

3

3

4

3

4

4

3

3

4

3

4

3

4

3

2

2

4

3

4

3

3

3

4

3

4

4

4

4

3

4

2

3

4

4

3

3

4

4

3

3

5

3

4

3

3

3

3

3

4

4

4

3

4

5

2

3

4

4

4

4

4

4

3

3

4

3

4

5

5

4

3

3

4

4

4

4

4

5

2

3

4

4

3

4

4

3

3

3

4

4

4

3

3

5

2

3

5

4

5

4

4

3

3

3

5

4

4

4

4

4

2

3

4

3

5

3

3

5

69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106

KLTS_6

KLTS_7

KLTS_8

KLTS_9

KLTS_10

KLTS_11

KLTS_12

KLTS_13

4

2

3

4

4

3

3

3

4

3

3

3

2

4

3

3

3

4

3

3

3

3

4

2

3

5

3

4

3

4

2

3

2

3

3

4

4

3

3

3

3

2

3

3

3

3

4

3

3

3

4

4

4

3

3

5

4

3

3

3

4

3

4

3

3

2

4

4

4

3

3

3

3

4

3

3

3

4

4

3

4

4

4

5

5

4

4

4

4

4

4

3

3

4

4

4

3

4

3

4

4

4

4

4

5

3

4

4

4

5

2

3

4

5

3

3

3

3

3

3

3

3

4

3

4

4

3

4

3

4

4

4

4

3

3

3

3

4

3

3

3

4

3

3

3

3

3

3

3

3

2

4

2

4

3

3

3

4

4

2

4

4

3

3

2

4

4

4

4

4

4

4

4

5

3

3

4

4

3

3

3

4

3

3

3

4

4

3

2

5

3

4

4

4

3

3

3

4

3

3

3

4

3

4

3

4

5

3

4

3

3

4

4

4

3

4

4

3

3

3

3

4

3

4

3

5

3

3

3

4

3

4

3

4

3

3

3

4

5

4

4

2

4

3

3

4

3

3

3

3

3

5

5

4

5

4

3

4

3

3

4

4

5

4

5

4

3

3

3

4

4

4

3

4

3

4

4

4

4

4

5

4

2

3

3

4

3

4

4

4

3

4

4

4

4

5

3

4

3

3

3

4

3

4

69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106

KLTS_14

KLTS_15

KLTS_16

KLTS_17

KLTS_18

KLTS_19

MBL_1

MBL_2

4

4

4

4

4

4

2

3

4

3

4

3

3

3

2

2

4

4

4

4

3

4

3

2

3

4

4

3

5

3

3

4

4

5

5

4

4

4

2

3

4

4

4

3

3

2

3

2

3

3

4

5

3

3

3

2

4

4

4

4

4

4

2

3

4

4

4

4

3

3

1

2

5

5

3

3

4

3

2

3

4

3

4

5

4

4

2

3

4

4

4

3

3

4

2

2

3

4

4

4

4

4

2

3

5

3

4

5

4

5

2

3

4

4

5

3

3

4

2

2

4

3

4

4

3

3

2

2

3

3

4

4

3

4

2

2

5

3

4

5

4

3

3

3

5

5

4

5

3

4

4

2

3

3

4

4

4

4

2

3

4

4

4

3

2

3

3

1

5

5

4

5

5

3

3

4

4

5

3

4

4

4

2

3

3

3

3

3

4

4

2

3

5

5

4

5

3

3

2

2

4

4

4

3

3

4

2

2

3

4

3

4

4

5

3

3

3

4

4

3

3

4

3

2

5

5

4

5

3

5

2

2

4

4

4

3

4

5

3

3

4

4

2

4

4

5

3

3

3

4

4

5

5

4

2

4

3

3

4

4

4

4

3

3

4

4

4

3

4

4

3

3

4

4

4

4

3

4

3

2

3

5

3

3

4

5

3

3

4

3

4

5

4

3

3

3

4

4

4

3

3

5

2

2

69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106

MBL_3

MBL_4

MBL_5

MBL_6

MBL_7

MBL_8

MBL_9

MBL_10

MBL_11

2

4

2

2

2

3

3

3

2

2

3

3

2

2

3

2

1

4

2

3

3

2

2

2

2

2

4

2

3

4

2

1

2

3

2

4

3

4

2

2

2

1

3

3

2

4

3

1

2

3

2

2

2

3

3

4

1

3

2

2

3

3

3

3

3

3

2

4

3

2

3

4

3

3

2

3

3

2

3

3

3

3

2

4

2

3

2

2

2

4

3

3

3

3

3

3

4

4

4

3

3

2

3

3

3

2

2

3

3

3

2

2

3

2

3

3

2

2

3

2

3

2

4

3

3

1

2

4

2

2

2

3

2

2

2

4

3

2

3

3

2

2

3

2

2

3

2

3

2

2

3

3

2

3

4

3

2

3

2

2

2

3

3

4

2

2

2

2

2

2

2

3

3

4

2

3

1

2

2

3

3

3

2

2

4

3

2

1

2

3

4

4

3

3

3

3

3

5

2

2

3

2

3

3

2

2

3

3

2

2

3

3

2

2

1

3

2

3

2

2

3

3

2

2

3

2

3

2

2

3

2

3

2

2

3

2

3

2

3

3

3

3

2

3

3

2

2

2

3

2

2

4

2

3

2

2

3

2

2

2

2

4

3

2

2

3

2

2

2

3

3

1

3

3

3

3

2

2

3

3

4

4

2

3

2

4

4

5

4

3

3

2

3

2

2

3

4

2

3

3

2

2

4

2

2

3

4

3

2

2

3

2

3

3

2

2

2

3

1

4

4

2

2

3

3

4

3

2

3

3

3

3

3

4

4

2

2

4

2

2

2

3

69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106

MBL_12

MBL_13

MBL_14

MBL_15

MBL_16

MBL_17

MBL_18

MBL_19

2

2

3

2

3

3

1

3

2

2

2

3

3

2

2

2

3

1

3

2

3

3

3

3

1

2

2

3

2

3

4

2

2

2

3

2

3

4

2

3

3

2

2

2

3

3

1

1

2

4

4

2

2

2

2

2

3

2

3

2

3

3

2

3

2

2

3

2

3

3

1

2

3

2

2

3

4

4

3

2

3

3

4

3

3

2

3

3

3

3

2

3

3

3

3

3

3

3

3

3

2

3

3

3

1

2

4

4

4

2

2

4

2

2

2

2

3

3

4

3

2

3

3

3

3

2

2

2

2

2

3

2

2

2

3

3

2

2

4

3

4

2

3

2

1

3

4

2

4

4

2

3

3

1

3

3

2

2

3

3

3

3

2

3

3

3

3

2

2

2

4

4

4

4

3

2

2

2

3

3

3

4

3

3

2

3

2

4

2

2

3

3

2

2

4

3

4

4

3

2

4

2

2

3

3

3

3

3

2

3

3

3

2

3

2

4

2

3

2

3

2

3

2

3

2

3

4

3

4

4

4

4

4

3

2

3

3

3

3

4

2

2

3

3

3

3

1

4

4

3

4

3

2

3

2

3

4

3

3

3

2

2

3

3

3

3

2

3

3

3

3

3

3

3

3

3

3

3

3

3

2

3

2

3

2

4

3

4

3

4

4

3

3

2

3

2

2

3

2

3

3

3

3

4

BAB V PENUTUP. Berdasarkan hasil analisis data pada bab sebelumnya, maka kesimpulan dari hasil

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