Saran - Harga Pada Keputusan Pembelian Konsumen Secara Online (Studi Kasus Forum Jual Beli Kask

Penelitian ini masih memiliki kekurangan sehingga masih memerlukan penyempurnaan untuk penelitian di masa yang akan datang. Oleh karena itu, beberapa saran yang mungkin dapat diberikan untuk Kaskus dan untuk penelitian selanjutnya yaitu sebagai berikut:

1. Kaskus selaku penyedia situs forum online perlu menyadari bahwa dalam Forum Jual Beli, nilai kepercayaan sangatlah penting. Pada rata-rata jawaban kuesioner yang telah peneliti olah menghasilkan indikator yang perlu ditingkatkan dalam hal kepercayaan yakni nilai kejujuran penjual

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

72 kepada konsumen. Berdasarkan hal tersebut, perlu diperhatikan kembali mengenai detail dari penjual, dengan cara mencantumkan identitas penjual yang jelas seperti nama, alamat, dan nomer telepon yang jelas.

Apabila calon penjual tidak mengisi data tersebut maka pihak moderator berhak menutup halaman jualan dan si penjual, dan di cantumkan namanya dalam daftar hitam (blacklist) di Forum Jual Beli.

2. Kaskus selaku penyedia situs forum online perlu menyadari bahwa dalam Forum Jual Beli, nilai kemudahan sangatlah penting. Pada rata-rata jawaban kuesioner yang telah peneliti olah menghasilkan indikator yang perlu ditingkatkan dalam hal kemudahan yakni kemudahan dalam berinteraksi dengan penjual kepada konsumen. Berdasarkan hal tersebut perlu diperhatikan kembali mengenai detail dari tampilan halaman penjual seperti gambar barang, nomer kontak, dan lokasi penjual. Hal tersebut guna memfasilitasi penjual dalam memberikan informasinya dan juga mempermudah pembeli untuk melihat informasi secara lebih detil mengenai penjual.

3. Untuk Penelitian selanjutnya, objek penelitian juga dapat diambil dari toko online lainnya seperti Lazada.co.id, olx.co.id, bukalapak.com. Hal tersebut disarankan guna mencari tahu lebih dalam mengenai kesan konsumen seperti kepercayaan, kemudahan dan harga yang berbeda.

Selain itu, keberagaman objek penelitian akan memperkaya ilmu disiplin marketing dan dapat memberikan sumbangan strategi baru bagi industri informasi dan teknologi yang sedang berkembang di Indonesia.

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

73 DAFTAR PUSTAKA

Adityo, B., & Khasanah, I. (2011). Analisis Pengaruh Kepercayaan, Kemudahan Dan Kualitas Informasi Terhadap Keputusan Pembelian Secara On Line Di Situs Kaskus (Doctoral Dissertation, Universitas Diponegoro).

Afsar, Bilal. (2014). Effect Of Perceiv.Ed Price, Brand Image, Perceived Quality And Trust On Consumer’s Buying Preferences. Journal Of Economics And Business Research 20.1 (2014): 7-20.

Apriliani, E. P. (2013). Pengaruh Risiko Dan Harga Terhadap Keputusan Pembelian Melalui Kepercayaan Konsumen. Jurnal Dinamika Manajemen, 4(2).

Armstrong, G. & Kotler, P. (2007). Marketing: An Introduction. 8th Ed. New Jersey:

Pearson Prentice Hall.

Duwi Priyatno, Se. (2008). Paham Analisis Statistik Data Dengan Spss Yogyakarta : Mediakom.

Ghozali, Imam. (2011). Aplikasi Analisis Multivariate Dengan Program Ibm Spss 19.

Badan Penerbit Universitas Diponegoro, Semarang.

Hair, Jr., J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006).

Multivariate Data Analysis (6th Ed.).Upper Saddle River, Nj: Pearson Prentice Hall.

Irmadhani, I. (2012). Pengaruh Persepsi Kebermanfaatan, Persepsi Kemudahan Penggunaan Dan Computer Self Efficacy, Terhadap Penggunaan Online Banking Pada Mahasiswa S1 Fakultas Ekonomi Universitas Negeri Yogyakarta. Kajian Pendidikan & Akuntansi Indonesia, 1(3).

Kotler P., Keller K. L., (2012). Marketing Management 14th Edition, Prentice Hall.

Laohapensang, O. (2009). Factors Influencing Internet Shopping Behaviour: A Survey Of Consumers In Thailand. Journal Of Fashion Marketing And Management: An International Journal, 13(4), 501-513.

Lim, K., Sia, C., Lee, M., & Benbasat, I. (2006). Do I Trust You Online, And If So, Will I Buy? An Empirical Study Of Two Trust-Building Strategies. Journal Of Management Information Systems.

Mcknight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing And Validating Trust Measures For E-Commerce: An Integrative Typology. Information Systems Research, 13(3), 334-359.

Ollie. (2008). Membuat Toko Online Dengan Multiply. Jakarta: Media Kita.

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

74 Rahmawati, S. A., & Widiyanto, I. (2013). Antecedent Keputusan Pembelian

Online. Diponegoro Journal Of Management, 353-363

Sekaran, Uma. (2006). Research Methods For Business Buku2. Edisi 4. Salemba Empat.

Jakarta.

Setiawan, Heri. (2012). Pengaruh Harga Dan Kualitas Produk Terhadap Keputusan Pembelian Motor Honda Matic Beat (Studi Kasus Pada Pt. Nusantara Solar Sakti).

Sulistiyono, S., & Dwiyanto, B. M. (2011). Analisis Pengaruh Kegunaan Produk, Kemudahan Penggunaan Produk Dan Pergaulan Sosial Terhadap Minat Merefensikan Pada Produk Blackberry Di Kota Semarang (Doctoral Dissertation, Universitas Diponegoro).

Supranto, J. Dan Limakrisna, (2007). Perilaku Konsumen Dan Strategi Pemasaran Untuk Memenangkan Persaingan Bisnis, Mitra Wacana Media, Jakarta.

Sutisna. (2001), Perilaku Konsumen Dan Komunikasi Pemasaran, Penerbit Pt. Remaja Rosdakarya, Bandung, Cetakan I.

Venkatesh, V. And Bala, H. (2008). Technology Acceptance Model 3 And A Research Agenda On Interventions,” Decision Sciences (39:2), 273-315.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance Of Information Technology: Toward A Unified View. Mis Quarterly, 27(3), 425- 478. Mis Quarterly & The Society For Information Management.

Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2010). Services marketing strategy.

Wiley International Encyclopedia of Marketing.

http://www.beritasatu.com/digital-life/252560-genjot-jumlah-pengguna-Kaskus- perkenalkan-fitur-baru.html (diakses 25/08/2015)

http://www.alexa.com/siteinfo/Kaskus.co.id (diakses 25/08/2015) http://www.trafficestimate.com/Kaskus.co.id (diakses 25/08/2015)

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

LAMPIRAN

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

76 1.1 Kuesioner

Lampiran 1. 1 Kuesioner Penelitian

KUESIONER PENELITIAN

Responden Yth,

Saya adalah mahasiswa STIE Indonesia Banking School yang bernama Akhmad Nurzain yang sedang menulis skripsi mengenai situs Kaskus.

Agar penelitian ini dapat berlangsung dengan baik, peneliti memohon kesediaan anda untuk berpartisipasi dengan menjawab seluruh pertanyaan yang disajikan dalam kolom pernyataan se-obyektif mungkin. Data yang diberikan hanya digunakan untuk penghimpunan data penelitian dan tidak dipergunakan untuk hal lain diluar penelitian ini. Jika ada pertanyaan yang membingungkan atau sekiranya kurang jelas, dimohon dapat menghubungi peneliti dengan bertanya langsung dengan peneliti.

Atas perhatian dan partisipasinya peneliti ucapkan terimakasih.

Peneliti

Akhmad Nurzain

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

77 Profil Responden

1) Jenis kelamin : Pria / Wanita 2) Umur : ______ tahun

3) Pekerjaan : Tidak Bekerja / Wirausaha / Pegawai Negeri / Pegawai Swasta *

*Coret yang tidak sesuai dengan pekerjaan anda 4) Pendidikan terakhir : (pilih salah satu)*

*Berikan tanda (X) pada pilihan anda

SMA/SMK Diploma S1 S2

5) Pengeluaran per bulan : (pilih salah satu)*

*Berikan tanda (X) pada pilihan anda

Kurang dari Rp.2.000.000 Rp.3.000.000 s/d Rp.3.500.000

Rp.2.000.000 s/d Rp.2.500.000 Rp.3.500.000 s/d Rp.4.000.000

Rp.2.500.000 s/d Rp.3.000.000 Diatas Rp.4.000.000

6) Apakah Anda pernah berbelanja di Forum Jual Beli Kaskus (FJB Kaskus)?

YA / TIDAK *

*Jika anda menjawab TIDAK maka anda tidak diperkenankan melanjutkan pengisian kuesioner ini

7) Sudah berapa kali anda berbelanja di Forum Jual Beli Kaskus (FJB Kaskus)?

Tidak pernah / Kurang dari 3x / Lebih dari 3x *

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

*jika anda menjawab selain Lebih dari 3x maka anda tidak diperkenankan melanjutkan pengisian kuesioner ini

Kuesioner

Cara pengisian:

Berikan tanda (X) untuk setiap jawaban anda pada lingkaran penilaian konsumen, setelah mencocokan dengan kolom pernyataan. Mohon isi kuesioner ini dengan skala yang sudah ditentukan. Interval yang digunakan untuk pengukuran skala adalah 1 sampai 5.

1 2 3 4 5

No Kolom pernyataan Skala

STS SSS

Kepercayaan (Trust)

1 Saya merasa penjual di forum jual beli kaskus memberikan bantuan kepada konsumennya

2 Saya merasa penjual di forum jual beli Kaskus peduli dengan kesejahteraan konsumennya, tidak diri sendiri 3 Saya merasa penjual di forum jual beli Kaskus memiliki

nilai kejujuran

4 Saya merasa penjual di forum jual beli kaskus selalu komitmen terhadap konsumennya

5 Saya merasa penjual di forum jual beli Kaskus berkompeten dalam berjualan

6 Saya merasa penjual di forum jual beli Kaskus memeberikan solusi terbaik bagi konsumen

Kemudahan (Ease of use)

7 Saya merasa mudah dalam berinteraksi dengan penjual di forum jual beli Kaskus

8 Saya merasa cara pembayaran pada forum jual beli Kaskus fleksibel

9 Saya merasa mudah untuk mencari produk yang sesuai dengan kebutuhan yang saya inginkan

10 Saya merasa mudah dalam mempelajari forum jual beli kaskus untuk berbelanja

11 Saya merasa mudah mengakses forum jual beli kaskus

Sangat tidak setuju

Sangat Sangat Setuju

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

79 Kuesioner

No Kolom pernyataan

Skala ST

Harga (Price)

12 Saya merasa harga produk pada forum jual beli Kaskus adalah murah

13 Saya merasa harga produk di forum jual beli Kaskus mampu bersaing dengan toko online lainnya

14 Saya merasa harga produk pada forum jual beli kaskus sesuai dengan kualitasnya

15 Saya merasa harga produk pada forum jual beli Kaskus mampu memenuhi kebutuhan saya

Keputusan Pembelian (Purchase Decision)

16 Dengan saya berbelanja di forum jual beli kaskus, dapat memenuhi kebutuhan yang saya inginkan

17 Sebelum saya berbelanja di forum jual beli Kaskus, saya mencari informasi produk terlebih dahulu

18 Saya merasa yakin untuk berbelanja di forum jual beli kaskus

19 Saya akan merekomendasikan orang lain untuk berbelanja di forum jual beli kaskus

20 Saya merasa puas berbelanja di forum jual beli kaskus, dan akan berbelanja kembali di forum jual beli kaskus

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

80 Tabulasi Data

1.2 Tabulasi Data Kuesioner Penelitian

Lampiran 1. 2 Tabulasi Data Kuesioner Penelitian

Tabel 5. 1 Tabulasi Data Indikator Kepercayaan (X1)

Responden KP_1 KP_2 KP_3 KP_4 KP_5 KP_6

1 3 4 4 3 4 3

2 5 3 4 4 4 4

3 4 1 3 4 4 4

4 2 3 2 2 2 2

5 4 4 3 3 4 3

6 4 3 3 4 4 4

7 4 4 4 4 4 4

8 4 4 3 3 2 3

9 4 4 4 4 3 3

10 4 2 3 3 3 3

11 3 5 4 4 4 2

12 5 1 3 4 4 5

13 2 4 2 1 1 1

14 4 4 3 3 4 3

15 4 3 4 4 3 3

16 3 4 4 4 3 2

17 4 3 3 4 2 5

18 4 4 4 4 3 2

19 4 4 4 5 4 5

20 4 4 3 3 3 3

21 4 4 4 4 4 4

22 4 3 3 2 3 3

23 3 3 3 3 3 3

24 3 2 2 3 4 4

25 2 3 3 4 1 4

26 3 2 2 4 3 4

27 1 4 2 4 1 4

28 4 4 4 3 4 3

29 4 4 4 4 4 4

30 4 5 4 3 4 4

31 5 3 4 4 4 4

32 3 5 3 3 3 3

33 5 3 5 5 5 5

34 2 4 4 4 3 3

35 4 4 3 4 4 3

36 4 3 5 4 4 4

37 4 4 3 3 4 3

38 4 4 3 4 4 3

39 4 4 4 3 4 4

40 4 4 4 4 4 3

41 4 4 3 4 4 4

42 4 3 3 3 3 3

43 3 5 4 4 4 3

44 5 4 5 4 5 4

45 4 3 3 3 3 3

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

46 3 4 3 3 3 3

47 4 5 5 5 5 4

48 3 4 3 3 3 4

49 4 5 4 4 4 4

50 5 4 4 4 5 4

51 4 3 4 4 4 4

52 3 3 4 2 2 4

53 3 3 5 5 5 4

54 3 4 4 4 4 4

55 4 5 3 3 3 4

56 5 4 5 5 5 5

57 4 4 3 5 4 4

58 4 5 3 5 4 4

59 5 4 4 3 4 5

60 4 4 3 3 4 3

61 4 4 4 4 5 5

62 4 5 4 4 4 3

63 5 4 4 5 5 5

64 4 4 4 3 3 5

65 4 4 3 3 3 3

66 3 5 3 3 4 4

67 3 5 3 3 4 4

68 3 5 3 3 4 4

69 5 4 4 4 4 4

70 3 3 4 4 4 4

71 3 3 4 4 3 2

72 3 3 3 3 3 3

73 4 5 3 3 3 3

74 5 3 5 5 5 5

75 3 4 3 3 3 3

76 4 5 3 4 4 3

77 5 2 4 4 3 3

78 2 5 2 1 2 2

79 5 4 5 5 5 5

80 4 4 4 4 4 4

81 4 4 4 4 4 4

82 4 4 3 3 3 3

83 4 5 3 3 3 3

84 5 3 5 5 5 5

85 4 3 4 3 3 4

86 3 3 4 3 3 3

87 3 3 3 3 3 3

88 3 3 3 3 3 2

89 3 4 5 5 4 4

90 4 4 3 3 3 3

91 4 5 4 3 3 3

92 5 3 3 3 4 4

93 2 2 2 3 3 2

94 2 4 2 2 2 2

95 4 4 4 3 4 3

96 4 4 4 3 4 3

97 4 5 3 3 3 3

98 5 4 4 4 4 4

99 4 3 3 4 4 3

100 3 3 5 5 4 4

Average 3.74 3.75 3.54 3.58 3.57 3.52

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

82 Tabel 5. 2 Tabulasi Data Indikator Kemudahan (X2)

Responden KEM_1 KEM_2 KEM_3 KEM_4 KEM_5

1 4 4 3 4 5

2 4 4 4 4 4

3 4 3 5 4 5

4 2 2 2 2 2

5 5 5 3 5 5

6 5 5 4 4 5

7 4 4 4 4 4

8 4 4 4 4 4

9 4 4 4 4 4

10 3 4 4 4 4

11 2 4 4 4 5

12 5 5 5 4 5

13 1 3 2 1 1

14 2 4 1 3 5

15 4 4 3 3 3

16 3 4 4 2 3

17 4 5 5 5 4

18 4 4 3 4 4

19 4 5 4 5 4

20 3 3 4 4 4

21 4 4 4 4 4

22 3 5 3 3 3

23 3 3 3 3 3

24 3 3 4 4 5

25 2 2 3 2 2

26 5 5 5 3 5

27 1 1 1 1 1

28 4 4 4 4 4

29 4 5 5 5 5

30 4 4 5 5 5

31 4 4 4 5 5

32 4 4 4 4 4

33 3 5 5 5 5

34 2 3 3 4 4

35 3 3 5 5 4

36 3 4 5 5 5

37 4 4 3 3 3

38 3 4 4 4 4

39 3 5 5 5 5

40 4 4 3 4 4

41 3 3 4 4 4

42 3 4 3 4 4

43 5 3 4 4 4

44 4 5 3 4 5

45 3 4 4 3 3

46 3 3 2 2 2

47 5 5 5 5 5

48 5 5 4 4 4

49 4 4 4 4 4

50 4 4 4 4 4

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

51 4 4 4 4 5

52 4 2 2 4 4

53 4 3 2 3 1

54 3 4 5 3 4

55 3 4 5 5 5

56 5 5 5 5 5

57 4 4 4 4 5

58 4 4 4 4 5

59 4 3 5 5 5

60 4 5 4 4 4

61 4 4 4 4 4

62 3 4 4 4 5

63 5 5 5 5 5

64 5 4 5 5 5

65 3 4 5 5 5

66 3 5 5 5 5

67 3 5 5 5 5

68 3 5 5 5 5

69 4 4 4 4 5

70 4 4 4 4 4

71 4 2 5 5 5

72 3 3 3 3 3

73 4 3 5 4 4

74 5 5 5 5 5

75 4 4 4 4 4

76 3 4 4 5 5

77 5 5 4 5 5

78 2 2 1 2 2

79 5 5 5 5 5

80 4 5 5 5 5

81 4 5 5 5 5

82 4 4 4 4 4

83 4 4 4 4 4

84 5 5 5 5 5

85 5 5 3 4 5

86 4 3 2 2 3

87 3 3 3 3 3

88 2 3 4 4 4

89 4 4 4 3 3

90 3 3 3 3 3

91 4 2 3 3 3

92 4 5 5 4 2

93 3 3 3 3 4

94 2 2 2 2 2

95 3 3 2 4 2

96 3 4 4 4 4

97 3 4 5 5 5

98 4 4 4 4 4

99 3 3 4 2 5

100 4 4 4 3 3

Average 3.62 3.89 3.87 3.91 4.06

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

84 Tabel 5. 3 Tabulasi Data Indikator Harga (X3)

Responden HAR_1 HAR_2 HAR_3 HAR_4

1 5 5 3 4

2 4 3 3 3

3 5 4 4 4

4 2 2 2 2

5 2 3 2 2

6 4 5 4 4

7 5 5 5 4

8 3 4 3 3

9 4 4 4 3

10 3 3 3 3

11 2 4 4 3

12 4 3 4 4

13 1 1 1 1

14 3 3 2 2

15 3 4 4 3

16 3 4 4 3

17 2 4 3 5

18 3 3 3 3

19 4 5 4 4

20 3 4 4 4

21 3 4 3 4

22 2 3 3 3

23 3 3 3 3

24 3 3 3 4

25 2 2 3 4

26 4 5 4 3

27 3 2 4 4

28 3 3 4 4

29 4 5 5 4

30 4 5 4 5

31 5 5 5 5

32 3 3 3 3

33 3 5 5 3

34 2 4 3 3

35 3 5 4 4

36 3 4 5 4

37 3 3 3 3

38 2 4 3 2

39 4 4 4 4

40 4 4 4 4

41 3 3 4 4

42 2 2 3 3

43 4 4 4 4

44 3 4 5 4

45 4 4 4 4

46 4 4 4 3

47 4 4 4 5

48 3 4 2 3

49 4 4 4 4

50 3 4 4 4

51 5 5 5 4

52 3 3 3 4

53 3 4 5 5

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

54 3 5 4 4

55 4 5 5 5

56 5 5 5 5

57 4 4 4 4

58 4 4 4 4

59 2 5 5 4

60 2 4 3 4

61 3 3 4 4

62 3 5 4 5

63 4 5 4 5

64 3 5 4 4

65 4 5 3 3

66 1 3 3 4

67 1 3 3 4

68 1 3 3 4

69 4 5 4 4

70 3 3 4 4

71 2 3 3 4

72 3 3 3 3

73 3 4 4 4

74 5 5 5 5

75 4 4 3 4

76 3 3 4 3

77 3 5 4 4

78 3 3 1 1

79 5 5 5 5

80 5 5 5 5

81 5 5 5 5

82 4 4 4 4

83 4 4 4 4

84 5 5 5 5

85 5 4 2 3

86 2 3 2 2

87 3 3 3 3

88 3 3 3 3

89 3 3 3 4

90 2 2 4 3

91 3 3 3 3

92 4 4 3 4

93 3 4 3 3

94 2 2 2 2

95 3 3 2 3

96 5 4 3 4

97 4 4 4 4

98 3 4 3 3

99 3 3 3 3

100 3 3 3 4

Average 3.29 3.8 3.59 3.66

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

86 Tabel 5. 4 Tabulasi Data Indikator Keputusan Pembelian Online (Y)

Responden PD_1 PD_2 PD_3 PD_4 PD_5

1 4 4 3 4 4

2 4 4 4 4 4

3 5 5 4 5 4

4 2 2 2 2 2

5 3 2 3 3 4

6 4 5 4 5 4

7 4 4 4 4 4

8 3 5 3 4 3

9 4 3 4 4 4

10 3 5 3 3 4

11 4 5 3 4 4

12 5 5 5 3 4

13 1 1 1 1 1

14 3 4 3 3 2

15 3 3 4 4 4

16 2 4 2 2 3

17 4 5 3 4 4

18 3 4 3 3 3

19 4 5 4 5 4

20 4 4 3 3 3

21 4 5 3 3 4

22 4 4 3 4 4

23 3 3 3 3 3

24 4 5 3 3 4

25 3 2 3 3 2

26 4 5 2 3 4

27 4 1 3 1 3

28 4 3 4 4 4

29 5 5 5 5 5

30 5 5 4 5 4

31 4 5 5 4 5

32 3 5 3 3 4

33 5 5 3 4 4

34 3 3 3 4 3

35 5 5 4 3 4

36 4 4 4 4 4

37 3 4 4 3 3

38 4 4 4 4 4

39 4 4 4 5 5

40 4 4 4 4 4

41 3 5 3 3 4

42 4 5 3 3 3

43 4 2 4 4 4

44 4 3 5 5 5

45 3 4 4 4 4

46 2 3 3 3 3

47 5 5 4 5 5

48 2 5 3 3 3

49 4 4 4 4 4

50 4 5 4 3 4

51 4 5 5 5 5

52 2 5 3 3 3

53 4 5 4 4 5

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

54 4 5 4 4 4

55 4 5 5 5 5

56 5 5 5 5 5

57 3 5 5 5 5

58 3 5 5 5 5

59 5 5 4 3 4

60 3 4 3 3 4

61 4 4 4 4 4

62 5 5 4 4 5

63 5 5 5 5 5

64 5 5 5 5 4

65 3 4 3 3 3

66 4 3 3 3 4

67 4 3 3 3 4

68 4 3 3 3 4

69 4 4 5 5 4

70 4 5 3 3 4

71 3 5 3 4 3

72 3 5 3 3 3

73 3 4 4 4 4

74 5 5 5 5 5

75 3 4 3 4 3

76 4 5 3 3 3

77 4 5 5 4 4

78 1 1 1 1 1

79 5 5 5 5 5

80 5 5 5 5 5

81 5 5 5 5 5

82 4 3 4 4 4

83 4 3 4 4 4

84 5 5 5 5 5

85 3 5 3 3 3

86 2 5 4 3 3

87 3 3 3 3 3

88 3 4 2 3 3

89 4 4 3 3 3

90 3 5 2 3 3

91 3 4 3 3 3

92 3 5 4 4 3

93 3 4 3 3 3

94 2 2 2 2 2

95 2 5 3 2 2

96 3 5 3 3 4

97 4 4 4 4 4

98 3 5 3 3 4

99 2 5 3 3 4

100 4 4 3 3 3

Average 3.63 4.2 3.57 3.63 3.75

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

88 1.3 Uji Validitas (Pre-test)

Lampiran 1. 3 Uji Validitas (Pre-test) Variabel Kepercayaan (X1)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .627

Bartlett's Test of Sphericity

Approx. Chi-Square 103.557

Df 15

Sig. .000

Communalities Initial Extraction

KEP1 1.000 .821

KEP2 1.000 .836

KEP3 1.000 .611

KEP4 1.000 .736

KEP5 1.000 .703

KEP6 1.000 .865

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 3.421 57.024 57.024 3.421 57.024 57.024

2 1.150 19.175 76.199 1.150 19.175 76.199

3 .769 12.821 89.020

4 .393 6.550 95.570

5 .173 2.882 98.452

6 .093 1.548 100.000

Extraction Method: Principal Component Analysis.

Component Matrix^a Component

1 2

KEP1 .865 -.270

KEP2 .907 -.114

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

KEP3 .715 -.317

KEP4 .623 .590

KEP5 .789 -.283

KEP6 .573 .732

Extraction Method: Principal Component Analysis.^a a. 2 components extracted.

Variabel Kemudahan (X2)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .857

Bartlett's Test of Sphericity

Approx. Chi-Square 94.356

Df 10

Sig. .000

Communalities Initial Extraction

KEM1 1.000 .796

KEM2 1.000 .695

KEM3 1.000 .654

KEM4 1.000 .813

KEM5 1.000 .768

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 3.726 74.514 74.514 3.726 74.514 74.514

2 .460 9.208 83.722

3 .408 8.167 91.889

4 .226 4.522 96.411

5 .179 3.589 100.000

Extraction Method: Principal Component Analysis.

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

Component Matrix^a Component

KEM1 .892

KEM2 .833

KEM3 .809

KEM4 .902

KEM5 .876

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

Variabel Harga (X3)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .797

Bartlett's Test of Sphericity

Approx. Chi-Square 52.811

Df 6

Sig. .000

Communalities Initial Extraction

HAR1 1.000 .702

HAR2 1.000 .747

HAR3 1.000 .784

HAR4 1.000 .615

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

1 2.849 71.219 71.219 2.849 71.219 71.219

2 .558 13.946 85.165

3 .307 7.672 92.838

4 .286 7.162 100.000

Extraction Method: Principal Component Analysis.

Component Matrix^a Component

HAR1 .838

HAR2 .864

HAR3 .886

HAR4 .784

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

Variabel Keputusan Pembelian (Y)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .793

Bartlett's Test of Sphericity

Approx. Chi-Square 93.019

Df 10

Sig. .000

Communalities Initial Extraction

PD1 1.000 .800

PD2 1.000 .563

PD3 1.000 .711

PD4 1.000 .761

PD5 1.000 .789

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 3.624 72.485 72.485 3.624 72.485 72.485

2 .623 12.470 84.955

3 .356 7.127 92.081

4 .243 4.868 96.950

5 .153 3.050 100.000

Extraction Method: Principal Component Analysis.

Component Matrix^a Component

PD1 .895

PD2 .750

PD3 .843

PD4 .872

PD5 .888

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

1.4 Uji Reliabilitas (pre-test)

Lampiran 1. 4 Uji Reliabilitas (Pre-test) Variabel Kemudahan (X1)

Case Processing Summary

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

N %

Cases

Valid 30 100.0

Excluded^a 0 .0

Total 30 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.841 .842 6

Item Statistics

Mean Std. Deviation N

KEP1 3.57 .898 30

KEP2 3.50 .900 30

KEP3 3.27 .740 30

KEP4 3.47 .819 30

KEP5 3.20 .997 30

KEP6 3.37 .964 30

Inter-Item Correlation Matrix

KEP1 KEP2 KEP3 KEP4 KEP5 KEP6

KEP1 1.000 .875 .544 .284 .678 .349

KEP2 .875 1.000 .570 .374 .653 .497

KEP3 .544 .570 1.000 .470 .533 .052

KEP4 .284 .374 .470 1.000 .304 .605

KEP5 .678 .653 .533 .304 1.000 .280

KEP6 .349 .497 .052 .605 .280 1.000

Item-Total Statistics

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

Scale Mean if Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

KEP1 16.80 10.717 .744 .793 .789

KEP2 16.87 10.326 .823 .838 .772

KEP3 17.10 12.438 .558 .650 .827

KEP4 16.90 12.231 .522 .620 .832

KEP5 17.17 10.695 .645 .508 .810

KEP6 17.00 11.931 .456 .669 .849

Scale Statistics

Mean Variance Std. Deviation N of Items

20.37 15.895 3.987 6

Variabel Kemudahan (X2)

Case Processing Summary

N %

Cases

Valid 30 100.0

Excluded^a 0 .0

Total 30 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.914 .914 5

Item Statistics

Mean Std. Deviation N

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

KEM1 3.47 1.106 30

KEM2 3.87 1.008 30

KEM3 3.63 1.098 30

KEM4 3.60 1.102 30

KEM5 3.90 1.185 30

Inter-Item Correlation Matrix

KEM1 KEM2 KEM3 KEM4 KEM5

KEM1 1.000 .738 .685 .725 .695

KEM2 .738 1.000 .546 .664 .653

KEM3 .685 .546 1.000 .673 .607

KEM4 .725 .664 .673 1.000 .814

KEM5 .695 .653 .607 .814 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

KEM1 15.00 14.414 .821 .693 .886

KEM2 14.60 15.628 .739 .590 .903

KEM3 14.83 15.247 .709 .536 .909

KEM4 14.87 14.326 .838 .735 .882

KEM5 14.57 14.047 .798 .693 .891

Scale Statistics

Mean Variance Std. Deviation N of Items

18.47 22.533 4.747 5

Variabel Harga (X3)

Case Processing Summary

N %

Cases

Valid 30 100.0

Excluded^a 0 .0

Total 30 100.0

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.863 .864 4

Item Statistics

Mean Std. Deviation N

HAR1 3.20 .997 30

HAR2 3.60 1.070 30

HAR3 3.40 .894 30

HAR4 3.40 .894 30

Inter-Item Correlation Matrix

HAR1 HAR2 HAR3 HAR4

HAR1 1.000 .692 .642 .487

HAR2 .692 1.000 .677 .533

HAR3 .642 .677 1.000 .655

HAR4 .487 .533 .655 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

HAR1 10.40 6.110 .708 .536 .826

HAR2 10.00 5.655 .745 .578 .812

HAR3 10.20 6.303 .777 .611 .801

HAR4 10.20 6.855 .627 .445 .857

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

Scale Statistics

Mean Variance Std. Deviation N of Items

13.60 10.593 3.255 4

Variabel Keputusan Pembelian (Y)

Case Processing Summary

N %

Cases

Valid 30 100.0

Excluded^a 0 .0

Total 30 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.892 .904 5

Item Statistics

Mean Std. Deviation N

PD1 3.63 .928 30

PD2 3.90 1.269 30

PD3 3.27 .868 30

PD4 3.47 1.074 30

PD5 3.53 .860 30

Inter-Item Correlation Matrix

PD1 PD2 PD3 PD4 PD5

PD1 1.000 .583 .768 .662 .772

PD2 .583 1.000 .401 .642 .619

PD3 .768 .401 1.000 .712 .680

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

PD4 .662 .642 .712 1.000 .691

PD5 .772 .619 .680 .691 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

PD1 14.17 11.868 .807 .728 .855

PD2 13.90 10.921 .639 .542 .905

PD3 14.53 12.671 .722 .705 .874

PD4 14.33 11.057 .795 .670 .855

PD5 14.27 12.271 .809 .674 .857

Scale Statistics

Mean Variance Std. Deviation N of Items

17.80 17.890 4.230 5

1.5 Uji Validitas Data Keseluruhan

Lampiran 1. 5 Uji Validitas Data Keseluruhan Variabel Kemudahan (X1)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .810

Bartlett's Test of Sphericity

Approx. Chi-Square 367.984

Df 15

Sig. .000

Communalities Initial Extraction

KEP1 1.000 .674

KEP2 1.000 .712

KEP3 1.000 .583

KEP4 1.000 .571

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

KEP5 1.000 .708

KEP6 1.000 .558

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 3.806 63.439 63.439 3.806 63.439 63.439

2 .866 14.429 77.868

3 .558 9.300 87.167

4 .349 5.815 92.983

5 .312 5.205 98.188

6 .109 1.812 100.000

Extraction Method: Principal Component Analysis.

Component Matrix^a Component

KEP1 .821

KEP2 .844

KEP3 .763

KEP4 .756

KEP5 .841

KEP6 .747

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

Variabel Kemudahan (X2)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .846 Bartlett's Test of Sphericity Approx. Chi-Square 260.434

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

100

Df 10

Sig. .000

Communalities

Initial Extraction

KEM1 1.000 .488

KEM2 1.000 .638

KEM3 1.000 .709

KEM4 1.000 .792

KEM5 1.000 .735

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 3.362 67.248 67.248 3.362 67.248 67.248

2 .674 13.474 80.722

3 .415 8.307 89.029

4 .335 6.705 95.733

5 .213 4.267 100.000

Extraction Method: Principal Component Analysis.

Component Matrix^a

Component 1

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

101

KEM1 .699

KEM2 .799

KEM3 .842

KEM4 .890

KEM5 .857

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

Variabel Harga (X3)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .771

Bartlett's Test of Sphericity

Approx. Chi-Square 177.998

Df 6

Sig. .000

Communalities Initial Extraction

HAR1 1.000 .595

HAR2 1.000 .727

HAR3 1.000 .758

HAR4 1.000 .692

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 2.771 69.277 69.277 2.771 69.277 69.277

2 .605 15.133 84.410

3 .361 9.013 93.422

4 .263 6.578 100.000

Extraction Method: Principal Component Analysis.

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102

Component Matrix^a Component

HAR1 .771

HAR2 .852

HAR3 .870

HAR4 .832

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

Variabel Keputusan Pembelian (Y)

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .858

Bartlett's Test of Sphericity

Approx. Chi-Square 310.755

Df 10

Sig. .000

Communalities Initial Extraction

PD1 1.000 .678

PD2 1.000 .377

PD3 1.000 .794

PD4 1.000 .807

PD5 1.000 .833

Extraction Method: Principal Component Analysis.

Total Variance Explained

Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %

1 3.489 69.786 69.786 3.489 69.786 69.786

2 .705 14.103 83.889

3 .404 8.071 91.960

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103

4 .214 4.282 96.242

5 .188 3.758 100.000

Extraction Method: Principal Component Analysis.

Component Matrix^a Component

PD1 .824

PD2 .614

PD3 .891

PD4 .898

PD5 .913

Extraction Method:

Principal Component Analysis.^a

a. 1 components extracted.

1.6 Uji Reliabilitas Data Keseluruhan

Lampiran 1. 6 Uji Reliabilitas Data Keseluruhan Variabel Kepercayaan (X1)

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.884 .884 6

Item Statistics

Mean Std. Deviation N

KEP1 3.74 .848 100

KEP2 3.74 .836 100

KEP3 3.54 .797 100

KEP4 3.58 .843 100

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104

KEP5 3.57 .879 100

KEP6 3.52 .858 100

Inter-Item Correlation Matrix

KEP1 KEP2 KEP3 KEP4 KEP5 KEP6

KEP1 1.000 .886 .479 .397 .621 .493

KEP2 .886 1.000 .486 .445 .616 .556

KEP3 .479 .486 1.000 .627 .623 .457

KEP4 .397 .445 .627 1.000 .613 .570

KEP5 .621 .616 .623 .613 1.000 .527

KEP6 .493 .556 .457 .570 .527 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

KEP1 17.95 11.402 .718 .798 .860

KEP2 17.95 11.301 .753 .807 .855

KEP3 18.15 11.967 .659 .497 .870

KEP4 18.11 11.755 .652 .537 .871

KEP5 18.12 11.056 .754 .584 .854

KEP6 18.17 11.738 .639 .444 .873

Scale Statistics

Mean Variance Std. Deviation N of Items

21.69 16.236 4.029 6

Variabel Kemudahan (X2)

Case Processing Summary

N %

Cases Valid 100 100.0

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

105

Excluded^a 0 .0

Total 100 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.877 .876 5

Item Statistics

Mean Std. Deviation N

KEM1 3.62 .908 100

KEM2 3.89 .920 100

KEM3 3.87 1.031 100

KEM4 3.91 .975 100

KEM5 4.06 1.052 100

Inter-Item Correlation Matrix

KEM1 KEM2 KEM3 KEM4 KEM5

KEM1 1.000 .554 .443 .497 .458

KEM2 .554 1.000 .570 .597 .570

KEM3 .443 .570 1.000 .731 .668

KEM4 .497 .597 .731 1.000 .773

KEM5 .458 .570 .668 .773 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

KEM1 15.73 11.734 .564 .353 .882

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106

KEM2 15.46 11.039 .684 .479 .857

KEM3 15.48 10.171 .735 .580 .844

KEM4 15.44 10.107 .808 .697 .827

KEM5 15.29 9.945 .756 .631 .839

Scale Statistics

Mean Variance Std. Deviation N of Items

19.35 16.068 4.009 5

Variabel Harga (X3)

Case Processing Summary

N %

Cases

Valid 100 100.0

Excluded^a 0 .0

Total 100 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.849 .851 4

Item Statistics

Mean Std. Deviation N

HAR1 3.29 1.008 100

HAR2 3.80 .932 100

HAR3 3.59 .922 100

HAR4 3.66 .867 100

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107

Inter-Item Correlation Matrix

HAR1 HAR2 HAR3 HAR4

HAR1 1.000 .621 .510 .472

HAR2 .621 1.000 .644 .565

HAR3 .510 .644 1.000 .721

HAR4 .472 .565 .721 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

HAR1 11.05 5.644 .614 .413 .843

HAR2 10.54 5.544 .726 .538 .792

HAR3 10.75 5.543 .739 .605 .786

HAR4 10.68 5.957 .683 .542 .811

Scale Statistics

Mean Variance Std. Deviation N of Items

14.34 9.600 3.098 4

Variabel Keputusan Pembelian (Y)

Case Processing Summary

N %

Cases

Valid 100 100.0

Excluded^a 0 .0

Total 100 100.0

a. Listwise deletion based on all variables in the procedure.

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108

Reliability Statistics Cronbach's

Alpha

Cronbach's Alpha Based on

Standardized Items

N of Items

.881 .887 5

Item Statistics

Mean Std. Deviation N

PD1 3.63 .939 100

PD2 4.20 1.044 100

PD3 3.57 .924 100

PD4 3.63 .960 100

PD5 3.75 .880 100

Inter-Item Correlation Matrix

PD1 PD2 PD3 PD4 PD5

PD1 1.000 .385 .653 .642 .718

PD2 .385 1.000 .404 .457 .483

PD3 .653 .404 1.000 .809 .773

PD4 .642 .457 .809 1.000 .773

PD5 .718 .483 .773 .773 1.000

Item-Total Statistics Scale Mean if

Item Deleted

Scale Variance if Item Deleted

Corrected Item- Total Correlation

Squared Multiple Correlation

Cronbach's Alpha if Item

Deleted

PD1 15.15 10.230 .705 .544 .859

PD2 14.58 10.913 .484 .253 .914

PD3 15.21 9.885 .793 .715 .838

PD4 15.15 9.604 .810 .718 .833

PD5 15.03 9.928 .836 .722 .830

Scale Statistics

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109

Mean Variance Std. Deviation N of Items

18.78 15.345 3.917 5

1.7 Uji Asumsi Klasik

Lampiran 1. 7 Uji Asumsi Klasik Uji Multikoliniearitas

Variables Entered/Removed^a Model Variables

Entered

Variables Removed

Method

X3_HAR, X2_KEM, X1_KEP^b

. Enter

a. Dependent Variable: Y_PD b. All requested variables entered.

Coefficients^a

Model Unstandardized Coefficients Standardized Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance

(Constant) -1.043 .858 -1.215 .227

X1_KEP .284 .063 .292 4.533 .000 .359

X2_KEM .290 .057 .297 5.085 .000 .436

X3_HAR .561 .073 .444 7.648 .000 .442

Coefficients^a

Model Collinearity Statistics

VIF

(Constant)

X1_KEP 2.786

X2_KEM 2.294

X3_HAR 2.263

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110

a. Dependent Variable: Y_PD

Collinearity Diagnostics^a

Model Dimension Eigenvalue Condition Index Variance Proportions

(Constant) X1_KEP X2_KEM X3_HAR

1 3.952 1.000 .00 .00 .00 .00

2 .024 12.758 .92 .01 .06 .14

3 .015 16.376 .02 .00 .63 .62

4 .009 21.328 .06 .98 .32 .24

a. Dependent Variable: Y_PD

Uji Heteroskedastisitas

Variables Entered/Removed^a Model Variables

Entered

Variables Removed

Method

X3_HAR, X2_KEM, X1_KEP^b

. Enter

a. Dependent Variable: Absolut Residual b. All requested variables entered.

Model Summary^b

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .182^a .033 .003 3.35583

a. Predictors: (Constant), X3_HAR, X2_KEM, X1_KEP b. Dependent Variable: Absolut Residual

ANOVA^a

Model Sum of Squares df Mean Square F Sig.

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111

Regression 36.913 3 12.304 1.093 .356^b

Residual 1081.113 96 11.262

Total 1118.026 99

a. Dependent Variable: Absolut Residual

b. Predictors: (Constant), X3_HAR, X2_KEM, X1_KEP

Coefficients^a

Model Unstandardized Coefficients Standardized Coefficients

t Sig. Collinearity Statistics

B Std. Error Beta Tolerance

(Constant) 5.545 1.915 2.896 .005

X1_KEP -.102 .140 -.122 -.728 .469 .359

X2_KEM -.064 .127 -.076 -.499 .619 .436

X3_HAR .004 .164 .004 .026 .979 .442

Coefficients^a

Model Collinearity Statistics

VIF

(Constant)

X1_KEP 2.786

X2_KEM 2.294

X3_HAR 2.263

a. Dependent Variable: Absolut Residual

Collinearity Diagnostics^a

Model Dimension Eigenvalue Condition Index Variance Proportions

(Constant) X1_KEP X2_KEM X3_HAR

1 3.952 1.000 .00 .00 .00 .00

2 .024 12.758 .92 .01 .06 .14

3 .015 16.376 .02 .00 .63 .62

4 .009 21.328 .06 .98 .32 .24

a. Dependent Variable: Absolut Residual

Analisis Pengaruh..., Akhmad Nurzain, Ma.-IBS, 2015

Dalam dokumen Harga Pada Keputusan Pembelian Konsumen Secara Online (Studi Kasus Forum Jual Beli Kaskus) (Halaman 87-131)