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Petunjuk Umum: Saudara dimohon kesediaannya untuk mengisi kuisioner ini untuk kepentingan penelitian mengenai Program Pascasarjana Magister Manajemen Universitas Widya Mandala. lnformasi yang anda berikan adalah sangat berharga. Anda dapat memberikan tanda silang atau cawang pada kolom jawaban yang tersedia. Saudara tidak perlu menuliskan nama saudara. Terima kasih.

JAWABAN PERNYATAAN: (l?ernyataan untuk variabel Y) 1. Unika Widya Mandala adalah pilihan utama saya dalam menempuh program pascasarjana Maoister Manaiemen (MM.).

(l?ernyataan untuk variabel Xl, Product) 2. Saya mengutamakan status terakredasi oada orooram MM. vano saya ambil. 3. Saya percaya bahwa program MM. Universitas Widya Mandala mempunyai kualitas yang baik. 4. Saya percaya bahwa program MM. Universitas Widya Mandala akan dapat membantu mengembangkan penQetahuan saya sehinaaa pada akhirnya akan dapat meningkatkan kualitas hidup saya. 5. Saya percaya bahwa program MM. Universitas Widya Mandala akan dapat membantu mengembangkan mental sava sehinaaa pada akhirnya akan dapat meningkatkan kualitas hidup saya. 6. Saya percaya bahwa program MM. Universitas Widya Mandala akan dapat membantu meningkatkan status saya sehingga pada akhirnya akan dapat meningkatkan kualitas hidup saya.

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PERNYATAAN: 7. Geier MM. yang ingin saya dapatkan dari mengikuti program pendidikan pascasarjana haruslah mempunvai kredibilitas vana tinaai. 8. Kosentrasi Strategic Management yang saya pilih memang merupakan pilihan saya dalam menempuh proaram MM. ini. 9. Kurikulum atau mata kuliah yang ditawarkan mencerminkan kualitas program MM. yang saya tempuh. 10. Saya percaya bahwa materi perkuliahan program MM. Universitas Widya Mandala adalah up-to-date I tidak ketinaaalan jaman. 11. Saya memang memilih program MM. yang menggunakan dua bahasa (Indonesia dan lnggris) daripada menaaunakan 100% bahasa lngaris atau 100% bahasa Indonesia. 12. Reputasi dan anggapan orang tetang Universitas Widya Mandala merupakan sesuatu yang saya pertimbanakan dalam memilih proaram MM. 13. Dalam memilih program MM., saya lebih mengutamakan Universitas yang namanya seringkali diutamakan dalam hal pemilihan tenaga keria. 14. Universitas Widva Mandala harus memperhatikan alumni dalam hal informasi tenaaa keria.

(Pernyataan untuk variabel X2, Price) 15. Saya setuju dengan biaya pendidikan program MM. yang relatif tinggi apabila berbanding lurus dengan kualitas oendidikan dan lavanan. 16. Biava oendidikan Proaram MM. Universitas Widva Mandala sudah selavaknva relatif tinaai.

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JAWABAN PERNYATAAN:

17. Progam pascasarjana manajemen yang biayanya rendah akan mencerminkan kualitas dan prospek yang rendah pula. 18. Saya menyetuiui syarat pembayaran yang waktunya relatif paniang. 19. Kemudahan dalam membavar uang SPP baik secara cash atau melalui rekening adalah mutlak.

(Pernyataan untuk variabel X3, Promotion) -

20. lklan tentang pendidikan pascasarjana, khususnya MM. di media massa perlu dilakukan secara agresif tetapi tetap simpatik 21. lklan tentang pendidikan pascasarjana, khususnya MM. di media massa perlu memaparkan gambaran vang ielas tentang kualitas pendidikan vang ditawarkan. 22. lklan tentang pendidikan pascasarjana, khususnya MM. perlu menonjolkan reputasi Universitas yang mengadakannva. 23. lklan di media massa tentang program pascasarjana MM. harus mampu menimbulkan keinginan bagi audiens-nya (khususnya para lulusan S-1) untuk meneruskan pendidikannya dengan mengikuti program MM. 24. lklan program M.M. Universtas Widya Mandala menimbulkan minat bagi saya untuk mengetahui lebih jauh tentang program ini.

(Pernyataan untuk variabel X4, Place) 25. Bagi saya, lingkungan kampus yang bersih dan nyaman adalah mutlak karena hal tersebut berpengaruh terhadap kosentrasi belajar saya

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.,., JAWABAN Sangat Setuju

PERNYATAAN:

26. Bagi saya, lingkungan kampus yang aman dan tertib adalah mutlak karena hal tersebut berpengaruh terhadap kosentrasi belaiar sava. 27. Sava menautamakan lokasi kampus vang terletak di pusat kota karena lebih mudah diiangkau. 28. Saya mengutamakan lokasi kampus yang mudah dijangkau baik oleh kendaraan pribadi maupun kendaraan umum. 29. Keberadaan kampus yang dekat dengan fasilitas umum seperti telepon umum, ATM bank, maupun temoat oemondokan adalah berguna. 30. Kemanan kamous vang didukuna oleh satoam vana terlatih adalah mutlak.

(Pernyataan untuk variabel XS,

~articipants)

31. Para pimpinan program MM. harus mempunyai kredibilitas yang tinggi, baik dari segi pendidikan maupun oenaalaman. 32. Para dosen dari program MM. harus mempunyai kredibilitas yang tinggi, baik dari segi pendidikan maupun oenaalaman. 33. Saya percaya bahwa para dosen program MM. Universitas Widya Mandala memiliki keahlian dan penaetahuan vana tinaai. 34. Para dosen program MM harus mempunyai kemampuan yang tinggi dalam menyampaikan materi oerkuliahan 35. Para dosen oroaram MM. harus menaarahkan oerkembanaan berfikir vana luas dan bebas.

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JAWABAN PERNYATAAN: 36. Para dosen program MM. harus mampu menjelaskan persyaratan dan harapan atas perkuliahan yang diajarkannya. 37. Para dosen program MM. harus mempunyai kemampuan mengatur waktu dan aktifitas di dalam kelas secara efektif. 38. Para dosen program MM. harus bersikap rasional sehingga selalu memberikan pengarahan yang bersifat penaendalian lwalauoun tetao memberikan kebebasan). 39. Para dosen program MM. harus mampu memberikan pengarahan yang jelas dalam diskusi maupun tuaas. 40. Para dosen program MM. harus memberikan umpan balik alas hasil belajar mahasiswanya lewat berbaoai tugas, latihan-latihan maupun pernyataan informal. 41. Para dosen Program MM. perlu membangkitkan semangat mahasiswanya untuk belajar lewat berbaaai metode mengajar, bahan-bahan maupun media yang diounakan. 42. Para dosen program MM. perlu membangkitkan semangat mahasiswa untuk berpartisipasi di dalam kelas (baik dalam diskusi mauoun meniawab pertanvaan). 43. Para dosen orooram MM. oerlu mempunvai kemamouan komunikasi vang baik terhadap mahasiswa. 44. Para dosen program MM. perlu menuniukan perhatian dan kepedulian terhadap keluhan mahasiswanya. 45. Para dosen program MM. seharusnya berpenampilan rapi dan formal karena akan mencerminkan profesionalisme pendidikan yang diajarkannya.

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PERNYATAAN: 46. Sava menvetujui adanva hubunoan dosen oascasariana denoan rnahasiswa vano dekat dan akrab. 47. Menurut saya para dosen proararn MM. perlu menunjukan sikao vang profesional. 48. Para dosen program MM. harus datang tepat waktu. 49. Para staff administrasi program MM. perlu mempunyai kemampuan komunikasi yang baik terhadap mahasiswa. 50. Para karvawan program MM. oerlu menuniukan oerhatian dan keoedulian terhadap keluhan mahasiswa. 51. Saya percaya bahwa para karyawan Universitas Widya Mandala, khususnya program MM. mempunvai kineria vang baik. 52. Saya percaya bahwa para karyawan Universitas Widya Mandala, khususnya program MM. memiliki keahlian dan pengetahuan vang memadai. 53. Salah satu penunjang kelancaran studi saya adalah pelayanan yang baik dari karyawan Universitas Widya Mandala, khususnya karyawan di program MM. 54. Saya sangat yakin dengan kemampuan orang-orang dari yayasan Widya Mandala dalam mengendalikan kelangsungan hidup perguruan tinaai saya.

(Pernyataan untuk variabel X6, Process) 55. Sava setuiu waktu kuliah vano setiao hari darioada diaabuna non-stop oada akhir oekan saia. 56. Saya setuju jam kuliah malam sehingga memberikan kesempatan bagi saya untuk melakukan aktifitas tertentu oada siano hari.

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JAWABAN PERNYATAAN: 57. Saya setuju apabila terdapat nilai khusus/tambahan terhadap mahasiswa yang aktif di dalam perkuliahan. 58. Materi ujian haruslah sesuai dengan materi perkuliahan walaupun mengarah pada perkembangan berfikir. 59. Penetaoan jadwal kuliah harus konsisten dengan vang telah diumumkan semula. 60. Kemudahan memperoleh informasi tentang segala sesuatu yang berkaitan dengan studi saya adalah mutlak karena akan memoerlancar kegiatan studi sava. 61. lnformasi yang diberikan oleh staff administrasi program MM. kepada mahasiswa terutama yang berkaitan denaan keaiatan perkuliahan haruslah ielas dan konsisten. 62. Konfirmasi pemberitahuan informasi yang dibutuhkan oleh mahasiswa lewat telepon oleh pihak Universitas adalah mutlak. 63. Ujian dalam program MM. itu bisa bervariasi, tidak sekedar ujian tertulis tetapi bisa juga paper ataupun presentasi aaar lebih dapat menilai kemampuan mahasiswa. 64. Ujian dalam program MM. ltu tidak harus mudah dan menjamin nilai yang tinggi, tetapi haruslah cukup berkualitas sehingga dapat menilai hasil penyerapan mahasiwa atas perkuliahan yang diberikan oleh dosen vana bersanakutan. 65. Prosedur bagi mahasiswa untuk mengajukan permintaan mengulang ujian atau ujian perbaikan haruslah mudah.

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JAWABAN PERNYATAAN: 66. Adanya fasilitas makan malam prasmanan yang lezat dan higienis akan meningkatkan kenyamanan sava dalam keaiatan belaiar-mengaiar. 67. Fasilitas makan malam haruslah bervariasi dan cukuo banvak.

(Pernyataan untuk variabel X7, Physical Evidence) 68. Saya mengutamakan program MM. yang memiliki tempat perkuliahan sendiri, tidak di hatel-hotel atau temoat oersewaan lain, karena lebih meniamin kelanasunaan oroaram oendidikan tersebut. 69. Gedung tempat perkuliahan program MM. haruslah megah, baik dari segi luas maupun bentuk karena akan daoat menciotakan citra dan orestise tersendiri. 70. Menurut saya ruangan pascasarjana itu haruslah bersih dan indah karena dapat mencerminkan status dan kualitas oroaram oendidikan vana ditawarkan. 71. Menurut saya kondisi ruangan perkuliahan yang bersih dan nyaman adalah mutlak karena hat tersebut memoenaaruhi kosentrasi belaiar sava. 72. Menurut sava tersedianya kamar kecil dan WC vang bersih dan nyaman adalah mutlak. 73. Menurut saya tersedianya tempat parkir yang nyaman di dalam pekarangan Universitas Widya Mandala baoi mahasiswa pascasariana adalah mutlak. 74. Menu rut sava tersedianva oeroustakaan vano bersih dan nvaman ad aIah mutlak. 75. Peroustakaan untuk oroaram MM. haruslah mempunyai koleksi buku yang lengkap dan bermutu.

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PERNYATAAN:

76. Pemberian fotocopy materi perkuliahan dari pihak Universitas adalah mutlak karena akan menunjang keaiatan belaiar sava 77. Fasilitas komputer lengkap dengan jalur internet untuk mahasiswa program MM. adalah mutlak karena akan menuniana keaiatan belaiar. 78. Ketersediaan perlengkapan kelas yang lengkap dan modern seperti komputer, projector, OHP, wireless, papan tulis, papan nama, dan spidol adalah mutlak untuk menunjang kelancaran proses belajarmenQajar.

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Lampiran 2. Jawaban Responden Terhadap Kuisioner

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10.17 10.50 10.81 10.71 10.90 11.04 11.24

11.33 11.52 11.89

127

Lampiran 3. Uji Reliabilitas (Menggunakan nilai Cronbach-Alpha dengan bantuan software SPSSrll.O)

Reliability dari Variabel X l •Product

*

Method 1 (space saver) will be used for this analysis

REL I AB I LI TY (AL PH A )

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13.

ANALYSIS

QUEST02 QUEST03 QUEST04 QUEST05 QUEST06 QUEST07 QUEST08 QUEST09 QUESTlO QUESTll QUEST12 QUEST13 QUEST14

SCALE

Mean

Std Dev

Cases

4.7368 4.3421 4.4737 3.9211 4.4211 4.5000 3.6842 3.9211 3.8684 3.7105 4.3684 3. 8684 3.7632

.4463 .5340 .5569 .6317 .5004 .5067 .7748 .5393 .6226 .8353 .5891 .5776 .4896

38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0

Reliability Coefficients N of Cases Alpha =

38.0 .8944

*

N of Items = 13

128

Reliability dari Variabel X2, Price

*


REL I AB I LI TY (AL p HA )

1.

2. 3. 4. 5.

ANALYSIS

QUEST15 QUEST16 QUEST17 QUEST18 QUEST19

SC ALE

Mean

Std Dev

Cases

4.1842 3.9474 3.6053 4.4737 4.1579

.3929 .3244 .5472 .5060 .3695

38.0 38.0 38.0 38.0 38.0

Reliability Coefficients N of cases Alpha =

= -.0901

38.0

*

N of Items

=

5

129

Reliability dari Variabel X3, Promotion

*

Method 1 (space saver) wi11 be used for this analysis

REL I AB I LI TY (AL PH A )

1.

2. 3. 4. 5.


ANALYSIS

SC ALE

Mean

Std Dev

Cases

4.2895 4.5789 4.1579 4.0526 3.5000

.5651 .5004 .4366 .3244 .5067

38.0 38.0 38.0 38.0 38.0

Reliability Coefficients N of Cases = Alpha =

.5782

38.0

*

N of Items =

5

130

Reliability dari Variabel X4, Place

*


REL IAB I LI TY (AL PH A )

1.

2. 3. 4. 5. 6.

QUEST25 QUEST26 QUEST27 QUEST28 QUEST29 QUEST30

ANALYSIS

SC ALE

Mean

Std Dev

Cases

4.4211 4.4211 3.5789 4.1053 3.7895 3.8158

.5004 .5004 .5987 .3883 .4132 .3929

38.0 38.0 38.0 38.0 38.0 38.0


Lampiran 3

.1840

38.0

*

N

of Items =

6

131

Reliability dari Variabel X5, Participants

*


REL IAB I L I T Y ( A L PH A )

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24.

ANALYSIS

QUEST31 QUEST32 QUEST33 QUEST34 QUEST35 QUEST36 QUEST37 QUEST38 QUEST39 QUEST40 QUEST41 QUEST42 QUEST43 QUEST44 QUEST45 QUEST46 QUEST47 QUEST48 QUEST49 QUEST50 QUEST51 QUEST52 QUEST53 QUEST54

SCALE

Mean

Std Dev

Cases

4.6316 4.6579 4.1316 4.4737 4.2105 4.2632 4.0263 3.8421 4.1053 3. 7368 3.7368 3. 8947 4.1316 4.1842 3.6842 3.8684 4.0000 3.9211 4.1579 4. 4211 3.5789 3. 7368 4.3158 4. 2632

.4889 .4808 .6226 .5060 .5280 .5543 .4341 .6789 .5088 .6851 .7600 . 6058 .4140 .5123 .6619 .5776 .5199 .5393 .3695 .5004 .6831 . 6011 .5253 .6011

38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0

Reliability Coefficients N of Cases Alpha

=

T 'llmnir-'Jln 1.

38.0 .9532

*

N

of Items

24

132

Reliability dari Variabel X6, Process

*

Method 1 (space saver) wi11 be used for this analysis

REL I AB I LI TY (AL PHA )

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13.

ANALYSIS

QUEST55 QUEST56 QUESTS? QUEST58 QUEST59 QUEST60 QUEST61 QUEST62 QUEST63 QUEST64 QUEST65 QUEST66 QUEST67

SC ALE

Mean

Std Dev

Cases

4.4474 4. 3947 3.7105 4.1053 4.1316 4.4474 4.5263 3.9211 4.2632 3.8158 3.8158 4.2105 3.6579

.5549 .5472 .6538 .3883 .3426 .5039 .5060 .5873 .4463 .6087 .5123 .4741 .4808

38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0

Re1iabi1ity Coefficients N of Cases = Alpha

=

Lampiran 3

.8897

38.0

*

N of Items = 13

133

Reliability dari Variabel X7, Physical Evidence

*


REL I AB I LI T Y (AL PH A )

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.

ANALYSIS

QUEST68 QUEST69 QUEST70 QUEST71 QUEST72 QUEST73 QUEST74 QUEST75 QUEST76 QUEST77 QUEST78

SC ALE

Mean

Std Dev

Cases

4.5789 3.6053 3.8421 4.1842 4.0263 4.1842 3. 9211 4.3684 4.1579 4.0526 4.1842

.5517 .7548 .5939 .3929 .4925 .6516 .5873 .6747 .5939 .5670 .5123

38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0 38.0


Lampiran 3

.9216

38.0

*

N of Items = 11

134

Lampiran 4. Uji Validitas (Menggunakan Factor Analysis dengan bantuan software SPSSrll.O)

Validitas dari variabel X1, Product
KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity

Approx. Chi-Square df Sig.

263.429 78 .000

Communalities

QUEST02 QUEST03

Initial 1.000 1.000

QUEST04 QUEST05 QUEST06 QUEST07

1.000 1.000 1.000 1.000

QUEST08

1.000

.695

QUEST09 QUEST10

1.000 1.000


1.000 1.000 1.000 1.000

.609 .675 .881 .657 .588 .682

Extraction .415 .681 .685 .745 .731 .748

Extraction Method: Principal Component Analysis.

Lampiran 4

.813

135

Total Variance Explained Component

1

2

3

Total Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

4 5

Initial Eigenvalues Initial Eigenvalues

6

Initial Eigenvalues

7

Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues

8 9 10 11 12 13


% of Variance

Cumulative %

6.247

48.053

48.053

6.247

48.053

48.053

4.227

32.515

32.515

1.532

11.788

59.841

1.532

11.788

59.841

3.120

23.997

56.512

1.011

7.780

67.620

1.011

7.780

67.620

1.444

11.108

67.620

.845

6.499

74.119

.799

6.145

80.264

.664

5.107

85.371

.407

3.130

88.501

.372

2.859

91.360

.338

2.598

93.958

.291

2.237

96.195

.230

1.772

97.966

.150

1.151

99.118

.115

.882

100.000


Lampiran 4

136

Scree Plot 6 5

4

3

2

2

3

4

5

6

7

8

9

10

11

Component Number

Component Matriit'

QUEST02 QUEST03 QUEST04 QUEST05 QUEST06 QUEST07 QUEST08 QUEST09 QUEST10 QUEST11 QUEST12 QUEST13 QUEST14

Comnonent 3 2 1 .615 -.186 3.967E-02 .816 8.147E-02 -9.34E-02 -.252 .788 -8.20E-03 .704 .781 .815 .729 .642 .812 .655 .796 .369 9.493E-02

.302 -.330 -.212 2.144E-02 .406 .116 -.428 -.149

.644

-.397 -.113 -.197 .403 .179 4.452E-02 .518 2.581E-02 -.193

.669

.475

Extraction Method: Principal Component Analysis. a. 3 components extracted.

Lampiran 4

12

13

137

Rotated Component Matrii

QUEST02 QUEST03 QUEST04 QUEST05 QUEST06 QUEST07 QUEST08 QUEST09 QUEST10 QUEST11 QUEST12 QUEST13 QUEST14

Comoonent 2 3 1 .578 .282 -3.41E-02 .549

.603

.502 .228 .707

.657 .826

.126 -4.33E-02 .102 -.215 -.168

.641 .726

.431 .556 .190

.381 .590 .930

.440 .521 -.112

.519 .235 6.630E-02

.694 -.102 -3.48E-02

.419

1.286E-02

.616 4.714E-03

.446

.363

.825

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 18 iterations.

Component Transfonnation Matrix Comoonent 1 2 3

1 .770 -.469 .433

2 .622 .398

3 .144 .789

-.675

.598

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

Lampiran4

138

Component Score Coefficient Matrix Comoonent QUEST02 QUEST03 QUEST04 QUEST05 QUEST06 QUEST07

1 .150

2 -.013

3 -.058

.036 -.008 -.176

.165

.006 -.135

.244 .413 .068 .158

-.063 -.219 -.207

-.191 .050 .081

.266 .329 .104

-.391 .024

.101 -.043

.333 -.134

.226 .627

.149 .081 .256

QUEST08 QUEST09 QUEST10

.032 .084

QUEST11

.434 .155 -.234


.010


Component Score Covariance Matrix Component 1 2 3

1 1.000

2

3

.000 .000

1.000 -1.26E-16

.000

.000 -1.26E-16 1.000


a scatterplot matrix of the component scores

.. ..•..• .. . ...... ...

":'~·

REGR factor score

#

... . ·•.... . .. .

L.+

••

\ •: : +#

••••

Lampiran4

.. *··...-·. ·~

•

• •

+ REGR factor score

•

: . ... • •••• .. •, . .·.·-·:·-,· .. . ..·.. .. ..... •.:

~

..... . .,..•..

•

~

••

#

.· REGRractorscore

139

Validitas dari variabel X2, Price (Varimax Rotation Method Factor Analysis)

KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphelicity

Approx. Chi-Square

.278

Initial 1.000

Extraction .525

1.000 1.000

.523 .550

1.000 1.000

.422 .784


Lampiran4

12.104

10

df Sig.

Communalities


.658

140

Total Variance Explained Comoonent

2

Rotation Sums of Squared Loadings Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues

3 4 5

% of Variance

Cumulative %

1.769

35.386

35.386

1.769

35.386

35.386

1.499

29.976

29.976

1.035

20.699

56.085

1.035

20.699

56.085

1.305

26.109

56.085

.847

16.943

73.028

.703

14.050

87.078

.646

12.922

100.000

Total Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Extraction Sums of Squared Loadings

1


Scree Plot 1.8 1.6 1.4

1.2 1.0

"'

.8

ro ~

.6

.2

"'

Cl

w .. ---~~~~~~~~~~~~~~~~----2 5 4 3 Component Number

Lampiran4

141

Component Matrit Component QUEST15 QUEST16 QUEST17 QUEST18 QUEST19

1 .601

2

.723 .713 -.485

.405 -6.53E-03 -.205 -.432

-.377

.801


Rotated Component Matrii!. Comtonent QUEST15 QUEST16 QUEST17 QUEST18 QUEST19

1 .723 .571

2 4.245E-02

.442 -.648 .187

.596 4.891E-02 -.865

.444


Component Transfonnation Matrix Component 1 2

1

2 .795 .607

.607 -.795


Component Score Coefficient Matrix Component QUEST15 QUEST16 QUEST17 QUEST18 QUEST19

1 .507

2 -.105

.321 .200 -.471

.253 .402 .165 -.744

.301


Lampiran4

142

Component Score Covariance Matrix

1 1.000 .000

Component

1 2

2 .000 1.000


a scatterplot matrix of the component scores •

• • • REGR factor score

• •

• •

•

• •

•

Lampiran 4

•• •

• • • •

•

• • • •• • •

•

I I

• •

•

•I REGR factor score

143

Validitas dari variabel X3, Promotion (Varimax Rotation Method Factor Analysis)



Initial 1.000

QUEST23

1.000

Extraction .675 .667 .490 .371

QUEST24

1.000

.785

1.000 1.000


Lampiran4

20.940 10

.022

Communalities


.653

144

Total Variance Explained

Initial Eigenvalues

1

Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues

2

3 4 5

% of Variance

Cumulative %

1.947

38.943

38.943

1.947

38.943

38.943

1.895

37.893

37.893

1.041

20.828

59.771

1.041

20.828

59.771

1.094

21.879

59.771

.894

17.884

77.656

.666

13.315

90.971

.451

9.029

100.000

Total

Component


Scree Plot

2

Component Number

Lampiran4

3

4

5

145

Component Matrii'


Comoonent 2 1 -1.30E-02 .821 .799 .627 .386

.170 -.312 -.471

.303

.833


Rotated Component Matrii Comconent QUEST20 QUEST21 QUEST22 QUEST23 QUEST24

1 .800 .735 .684 .488 9.327E-02

2 .185 .358 -.151 -.364 .881


Component Transfonnation Matrix Comoonent 1 2

1 .971 -.241

2 .241 .971


Component Score Coefficient Matrix


Com• onent 1 2 .412 .089 .359 .258 .385 -.213 -.391 .302 -.042 .813

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

Lampiran4

146


1 1.000 .000

Component 1

2

2 .000 1.000

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Nonnalization. Component Scores.


•

•

• • • • • •• • • • • • •

REGR factor score

I • • • • • • • • • • • • • • •

•

•

Lampiran4

• •

.

I REGR factor score

.I

147

Validitas dari variabel X4, Place
Bartlett's Test of Sphericity

df Sig.

Initial 1.000 1.000

Extraction .902

1.000

.779 .782

QUEST28 QUEST29

1.000

.796

1.000

.837

QUEST30

1.000

.782


Lamoiran4

14.488 15 .489

Communalities


.428

148

Total Variance Explained Component

1

2

Total Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings

3

4

5 6

Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Initial Eigenvalues Initial Eigenvalues

% of Variance

Cumulative %

1.441

24.018

24.018

1.441

24.018

24.018

1.286

21.434

21.434

1.364

22.728

46.746

1.364

22.728

46.746

1.281

21.357

42.791

1.070

17.830

64.576

1.070

17.830

64.576

1.229

20.491

63.282

1.003

16.721

81.297

1.003

16.721

81.297

1.081

18.015

81.297

.629

10.477

91.774

.494

8.226

100.000


Lamoiran4

149

Scree Plot 1.6

1.4

1.2

1.0

.8 Q)

::J

ro>

.6

c

Q)

O>

w

.4 2

6

5

4

3

Component Number

Component Matrii' Comr anent QUEST25

.268

2 1.169E-02

QUEST26 QUEST27

-.509 .417 -.328 -.511 .754

.573

.731 4.583E-02

.780 .602 -.252 4.236E-02

-8.45E-03 .199 .638 .296

1


4 -.545

3

-.435 -1.77E-04 .536 .324 .353



QUEST25 QUEST26 QUEST27 QUEST28 QUEST29 QUEST30

1 -3.81 E-02 .147 .697

Com1'Onent 2 3 -.106 2.527E-02 -.786 .309

.943 .211

.497

-9.58E-02

8.249E-02 -8.05E-02

.872

.204 -.144

-.851 .207

-6.16E-03 .806

.296 .168

.158 .245


Lampiran 4

4

150

Component Transfonnation Matrix Comoonent 1 2

1

2 .575

3

.582 -.493

4

-.297

4

3 -.200

.748 -.292

.264

.187

.322

.128 .786

.566

.545

-.544

.748


Component Score Coefficient Matrix Comoonent 1 QUEST25 QUEST26 QUEST27 QUEST28 QUEST29

-.064

QUEST30

.078

.149 .503 -.125 -.701

4

2 -.043

3 -.107

-.624 .048

.163 .367 .727 .301

.230 .144 -.148 .176

.199

.168

.038 .083 .633

.882


Component Score Covariance Matrix Component 1 2 3 4

1 1.000

2

3

4

.000

.000 1.000

.000 .000

.000 .000

.000 .000

.000 .000

1.000 .000

.000 1.000


J

Lampiran 4

151


•

• • • • • •• • ~ • •• ~ ~ •• • # • • • • I. • • ,.,.. ~ •• ~ • # +## • • • REGR factor sec 1-e • ~· •

REGR factor sec e

.

.

~

I+

~

It

~~

• •

.:

•"

• •• ••• •• ••

I+ •

••

Lampiran4

...

•"

• •

..

..... " ., .,,

#

•

•

••

I • l

• • • • • • J •

~.

"' ~

•

• :.

••

,

REGR fact« sec .. $>•

. • • ,4 ••

•

••

••

•

•

,. •••

••

•

••

!1

• • .~

REGRfactO<scce

152

Validitas dari variabel X5, Participants (Varimax Rotation Method Factor Analysis)

KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Approx. Chi-Square

Bartlett's Test of Sphericity

df Sig.

QUEST36 QUEST37 QUEST38 QUEST39 QUEST40 QUEST41 QUEST42 QUEST43 QUEST44 QUEST45 QUEST46 QUEST47 QUEST48 QUEST49 QUEST50

Initial 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000

Extraction .781 .809 .711 .692 .638 .802 .643 .633 .836 .684 .709 .790 .850 .771 .763

1.000 1.000 1.000

.736 .807 .701

1.000

.801 .722

QUEST51

1.000 1.000

.644


1.000 1.000 1.000

.676 .743 .705


Lampiran4

688.875 276 .000

Communalities


.786

153

Total Variance Ex lained Total 11.987

11.987

% of Variance Cumulative % 49.947 49.947 49.947

49.947

19.396

8.607

58.5

8.607

18.708

38.1

5.556 5.556

3.572

14.883

1.21

5.064

1.21

5.064

3.224

13.433

4.351 4.351 urns of qua red Loadings Rotation Sums f Squared Loadin s Initial

Eigenvalues

Lampiran 4

7.105

3.950 .707

2.947

.631

2.630

.58

2.431

52.987

66.421

154

Total Variance Explained Continued 10

Initial Eioenvalues 11 Initial Eigenvalues 12 Initial Eiaenvalues Initial 13 Eigenvalues 14 Initial Eiaenvalues 15 Initial Eigenvalues 16 Initial Eioenvalues 17 Initial Eigenvalues 18 Initial Eioenvalues 19 Initial Eigenvalues Initial 120 Eioenvalues 21 Initial Eigenvalues Initial 22 Eiaenvalues Initial 123 Eigenvalues Initial 124 Eioenvalues Extraction Method: Principal

Lampiran4

.51E

2.160

87.643

.501

2.087

89.729

.44€

1.857

91.58€

.365

1.523

93.109

.337

1.402

94.511

.275

1.145

95.65€

.216

.900

96.55!:

.190

.792

97.34E

.176

.734

98.082

.131

.544

98.62€

.110

.460

99.08€

8.377E-02

.349

99.43!:

7.261E-02

.303

99.73E

3.908E-02

.163

99.901

2.382E-02

9.925E-02

100.00C

Component Analysis.

155

Scree Plot 12 10

8 6

4,

~

--

~

2·

-

$"' oj_~~:..=::::::~~==~:::::!::~-==~*"""----...J 1 3 5 7 9 11 13 15 17 19 21 23 Component Number

Component Matrii' Comoonent QUEST31 QUEST32 QUEST33 QUEST34 QUEST35 QUEST36 QUEST37 QUEST38 QUEST39 QUEST40 QUEST41 QUEST42 QUEST43 QUEST44 QUEST45 QUEST46 QUEST47 QUEST48 QUEST49 QUEST50 QUEST51 QUEST52 QUEST53 QUEST54

1 .737 .715

2

.551 .638

.455 -5.67E-02

.462 .526

3 -.100 -.141

5 -2.20E-02 -3.67E-02

-1.16E-02

.114 8.522E-03 -.349

-.439

.136

.265

-.279

.649

-.180

-5.55E-02

.132

-.404

.699 .660 .787 .734

-4.47E-02 -.390

4.265E-02 -.220

.101 -.428

-2.54E-02 -.309

.105 5.815E-02 -4.53E-02 -.138

.546 -6.25E-02 -9.51E-03 -1.25E-02

.751 .794

2.597E-02 .116

-.322 .229

5.127E-02 .108

.116 2.790E-02

.665 .770

-.419

.328

-.366 -3.11 E-02

3.319E-02

-.214 -.342

.138 -7.22E-02

.357 -9.63E-02 .151 .199

.254 .360 -.265 -.164

.135 -.227 3.103E-04 6.150E-03

.748 .715 .802

.248 9.645E-03

.851 .642

-.129 -.122

8.738E-02

.480

-.191

.732 .582

-.428 9.636E-02

.164 .515

-.102 .313

-.210

.694 .716 .721 .500

.224 .270 -.195 .462

-6.32E-02 -.211 -.299 .244

-.326 -.141

-.100 -4.42E-02 -.164

.203 -.188

.232 .383


Lamoiran4

4

156


QUEST31 QUEST32 QUEST33 QUEST34 QUEST35 QUEST36 QUEST37 QUEST38 QUEST39 QUEST40 QUEST41 QUEST42 QUEST43 QUEST44 QUEST45 QUEST46 QUEST47 QUEST48 QUEST49 QUEST50 QUEST51 QUEST52 QUEST53 QUEST54

1 2.488E-02 1.443E-02 .210 .168

.446 .283 .530 .374 .659 .266 .351 .784 .827

.366 6.342E-02 .586 .663 .242 .784 .241 .375 .251 .308 6.555E-02

Component 3

2 .688 .770 .811 .243 .295 .121 .108 .501 .190

.385

.310 -4.70E-02

.286 7.616E-02

.203 .196 4.195E-02

.760 .266 .539 .536 .342 .597 .629

.101 .454

-.273

.243 .227 .302 5.986E-02 .186

.598 -.109 .185 -7.98E-02 .116

.224 .143 .271 .229 .376

.521 .218 9.879E-02 .629 .603

.319 .327 7.237E-02

.176 .227 .340 .198

.219 .327 .713

-5.55E-02 .198 .317 .736

.742 5.507E-02 .169 .252

-3.27E-02 .269 .182 1.240E-02 .142

4.587E-02

.103

.672

.412 .403 2.512E-02 .279 .169 .502 .486 .369 .119 .149 .193 .654 .695 .150 .486

5

4

.344

.352

.131

.401 -4.95E-02 .278 .269 -5.94E-02


Component Transfonnation Matrix Comoonent 1 2 3 4 5

1 .536 -.638 .241 -.476 -.147

3

2 .516 .697 -.183 -.352 -.301

.461 -.206 -.710 .319 .374


Lampiran4

4

5 .430 .048

.221 .252

.447 .732 -.277

.452 -.112 .819

157

Component Score Coefficient Matrix Comoonent

2

5

4

3

QUEST31 QUEST32

-.170

.175

.058

.078

.008

-.154

.236


.058 -.124

.005 -.109 -.114

.000 -.125

-.047

.039 -.209 .395 -.038

QUEST36

-.065 .096

.232

-.044

.174 .018

-.0081 -.003

QUEST37 QUEST38

I QUEST39 QUEST40 QUEST41 QUEST42 QUEST43 QUEST44 QUEST45 QUEST46 QUEST47 QUEST48 QUEST49 QUEST50 QUEST51 QUEST52 QUEST53 QUEST54

.080

.018 .165

-.069

.360 .053 -.178 -.072 .087 -.027 .037 .003 -.136

-.005 .283 .297 -.011

.025 -.140

-.171

.089

.164 .177 -.079 .264 -019 .084 -.011 -.074 -.056

.094 .012 -.109

-.045 -.075 .221 .239 -.119 .088

.187

.195

-.167

.253

-.080 .166 -.041 -.156

-.064 -.114

-.067 -.043 .067 -.120 -.101 .048 -.119 -.216 -.063 .017 .343 -.068

.263 .276 -.080

-.006 .389

.066 .411 -.176 -.080 -.018

-.104

.052 -.358 .441 -.164 .015 -.140 -.006 .118 .201 -.044 .214 -.201 .092 .087 -.167 -.139 .090 .014 -.141 .051 .466


Component Score Covariance Matrix Component 1 2 3 4 5

1 1.000 3.322E-16 -2.52E-16 .000

2 3.322E-16 1.000 -1.44E-16 -2.26E-16

.000

.000

3 -2.52E-16 -1.44E-16 1.000 2.916E-16 -2.48E-16


Lampiran 4

4

5

.000 -2.26E-16 2.916E-16

.000 .000 -2.48E-16

1.000

.000 1.000

.000

158


,.. ... .....• • ••• Jf.J· ::(:·· cor.J• ."'•. ·~ • • .• ,. . "": : ~#>. •• •• • , ... •.... •:t.1,,• *.. .... ..... .. :. • • • ,.. ,•... . .... ~~ • ~it'!~ . •.: • • • ...~. •• • • • • • • .... ' • •• • . ... • ~~·h· ·'1 ·(:'ft ..··~.... ... • ..•f.-:: .. •• • • •.•.. : .,. •• • .,..... .. •i:q. • • • ·':J. .~· "°"' ,•••·' ••••• . •.. ..-,•••. • .~.

REGR

•

i

factor~

~

#

#

~.

REGR factor flOl9 ~

·~

t.~

~·

1-

REGR factor

•

\

~

~

#"

~~

•

Lampiran 4

REGR factor

REGR factOJ

159

Validitas dari variabel X(;, Process


Initial 1.000 1.000 1.000

Extraction .549 .740 .515

1.000 1.000

.536 .543

1.000 1.000

.503


1.000 1.000 1.000 1.00(}

QUEST66

1.000

.523 .835

QUEST67

1.000

.693


.576 .781 .712 .658


Lampiran 4

216.481 78 .000

Communalities

QUEST55 QUEST56

.784

160

Total Variance Explained % of Variance

Cumulative %

5.746

44.198

44.198

Extraction Sums of Squared Loadings

5.746

44.198

44.198

Rotation Sums of Squared Loadings

3.079

23.687

23.687

Initial Eigenvalues

1.259

9.684

53.882


1.259

9.684

53.882


2.779

21.378

45.065

Initial Eigenvalues

1.161

8.930

62.812


1.161

8.930

62.812


2.307

17.747

62.812

Total

Comoonent

1

2

3

Initial Eigenvalues

4

Initial Eigenvalues

.907

6.978

69.790

5

Initial Eigenvalues

.813

6.251

76.041

6

Initial Eigenvalues

.709

5.453

81.494

7


.574

4.416

85.9io

.529

4.073

89.983

.375

2.882

92.865

.330

2.540

95.406

.290

2.228

97.634

.173

1.331

98.965

.135

1.035

100.000

8 9 10

11 12 13


Extraction Method. Pnnc1pal Component Analysis.

Lampiran4

161

Scree Plot 6 5 4

3

2

""

~1

i ol~-~==:::=:::::=::==!:::!==d 2

3

4

5

6

7

8

9

10

11

Component Number

Component Matrit

1 QUEST55 QUEST56 QUEST57 QUEST58 QUEST59 QUEST60 QUEST61 QUEST62 QUEST63 QUEST64 QUEST65 QUEST66 QUEST67

.672 .701

Comoonent 2 .139 -.475

3 -.279 -.153

.672

-.163

.560 .653

-.252

-.400

.271

-.206

.684

.187 -.145

-1.98E-02

.710 .545 .742 .684 .659

.519 -.258 -.103

.724 .603

.448 -.408

.285

.192

.228 .462 -.308 .425 8.951E-02 -.331 .403


Lampiran 4

12

13

162

Rotated Component Matril Comoonent QUEST55

1 .574

2

3 .146

.445

.476

.709 .291

QUEST56 QUEST57

.110 .277


.224 .651 .580 .310 .674

.469

QUEST63

.322 .297

.310 .748

.716

.623 .849

.351 2.878E-02

.109 .337

1.752E-02

.795

.247


.595 .134 .141 .323 .636

.684 .314 .249 .275 -.327 .105

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Nonnalization. a. Rotation converged in 9 iterations.

Component Transfonnation Matrix Comnonent 1 2 3

1

2

3

.637

.592

.494

.757 -.145

-.361

-.545

.721

-.678


Lampiran 4

163

Component Score Coefficient Matrix Comoonent 2 1 -.144 .193 -.188 .113

QUEST55 QUEST56 QUESTS? QUEST58 QUEST59 QUEST60 QUEST61 QUEST62 QUEST63 QUEST64 QUEST65 QUEST66

.160 .355

-.047 -.040

.235 -.118

.261 .191 -.037

-.138 .005 .256

.016 .390 .059 -.011 -.009

.315 -.034

.195 -.041

-.448 .355

-.039

.364

.233

.042 -.259

-.145 -.119

.391 -.229

QUEST67

3

.061

.429

-.007


Component Score Covariance Matrix Comoonent 1 2 3

1 1.000 -1.90E-16 -1.29E-16

2 -1.90E-16 1.000 1.957E-16

3 -1.29E-16 1.957E-16 1.000



REGR factor score

.• .•....•... .. ' .......:. : ....

.• . .. .......... .. .. . ..•• • ........... • ·?.::.·• ... . .. .. ..:.••...• ••••

• .. ..,.i •• ••

REGR factor score

. .• .. ... •• ·~ .. . .. ...• .......... . ......... ....... \

~

·~

\•

Lampiran 4

\.

REGR factor score

164

Validitas dari variabel X7, Physical Evidence

Approx. Chi-Square df

Sig.

Communalities

QUEST68 QUEST69 QUEST70 QUEST71 QUEST72 QUEST73 QUEST74 QUEST75 QUEST76 QUEST77 QUEST78

Initial 1.000 1.000

Extraction .452 .697

1.000 1.000 1.000

.692 .508 .471

1.000 1.000 1.000 1.000 1.000

.568 .790 .507 .391 .569

1.000

.667


Lampiran4

.840 256.909 55 .000

165

Total Variance Explained

Component 1

% of Variance

Cumulative %

6.312

57.383

57.383

6.312

57.383

57.383

.991

9.007

66.390

.901

8.195

74.585

.649

5.899

80.484

.506

4.598

85.082

.444

4.038

89.119

.387

3.519

92.638

.307

2.791

95.429

.254

2.310

97.739

.149

1.352

99.091

9.999E-02

.909

100.000

Total Initial Eigenvalues Extraction Sums of Squared Loadings Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues Initial Eigenvalues

2 3 4 5 6 7


8 9 10 11


Scree

2

Plot

3

4

Component Number

Lampiran 4

5

6

7

8

9

10

11

166

Component Matrii'

QUEST68 QUEST69

Com pone nt 1 .673

QUEST70

.835 .832


.713 .686 .754


.889 .712 .625 .754

QUEST78

.816


Rotated Component Matrii a. Only one component was extracted. The solution cannot be rotated.

Component Score Coefficient Matrix Compone nt QUEST68 QUEST69 QUEST70 QUEST71 QUEST72 QUEST73 QUEST74 QUEST75 QUEST76 QUEST77 QUEST78

1 .107 .132 .132 .113 .109 .119 .141 .113 .099 .119 .129


Lampiran 4

167


I~omponent I

~.000 I

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser No1111alization. Component Scores.

Lampiran4

Lampiran 5. Data Yang Telah Reliabel dan Valid

00

'° ~

RHpondentl i .:

,1. :t ~

.., 1:•1:

'

.~

i'/ '~

'!,,~ Ii

~. l / 8

Question

1 (Y)

> :

> '·

6 14 .

.

>X1

20 24

,., ...

·•

-::::::: . '

•••••••••

... f .

·•

·•

.

X6 . <

.,,,.

66 67

••••••• .

74

4

3

3

5

3

4

4

4

3

:~

.<~~

•. i1~

.. 15

3

4

4

!16 >17 5

4

18 .. , 19

20

21

22 .·· 23

~4,

3

3

4

5

2

4

4

4 4 4 5 3 5 4 4 3 4 4 4 4 3 5 3 4 4 3 4 5 4 4 4 3 4 3 3 3 4 2 3 4 4 3 4 5 3 4 3 3 3 5 3 4 4 4 3 4 3 4 3 4 4 4 4 3 4 4 4 4 3 4 3 4 4 4 4 4 4 4.00 3.67 4.33 3.33 3.33 3.67 4.33 3.33 3.33 4.00 3.00 3.67 3.33 4.00 4.00 3.67 4.33 3.33 4.33 3.00 4.00 4.33 4.00 3.67 4

4

5

4

4

4

5

4

5

4

5

5

5

5

4

4

5

4

4

4

4

5

5

4

3 3 3 4 3 3 3 3 4 3 4 4 4 4 3 3 3 4 3 4 3 4 3 ······· ,, 3 ., X3 3.50 4.00 4.50 3.50 3.50 4.00 4.50 3.50 4.00 3.50 4.00 4.50 4.00 4.00 3.50 4.00 4.00 3.50 4.00 3.50 4.00 4.50 4.00 3.50

50

68

5

1.2 :

.

33 34 43 64

ii;

' .

4

1Q ')11

3 5

. <'

11 I I

4

" .~ .·

X6 .... X7

4 4 3 4 5 4 4 4 4 4 3 4 4 4 4 4 5 4 3 4 4 5 5 4 5 4 4 5 4 5 4 5 4 4 5 4 5 5 5 5 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 5 4 4 5 4 4 4 5 5 5 5 4 4 4 4 5 5 5 4 4 4 5 4 4 4 4 4 4 4 4 5 5 5 4 3 4 4 4 4 5 4 4 4 3 4.40 4.60 5.00 4.40 3.80 4.00 4.80 4.00 4.20 4.40 4.00 4.20 4.00 4.20 4.40 4.60 4.20 4.00 4.40 3.80 4.20 5.00 4.20 3.60 4 4 4

5 5

5 5 5 5 5

5

4 4 4 4 5 4 5 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 5 4 4 5 4 5 5 4 4 5 4 4 4 5 4 5 4 4 4 4 4 4 4 5 4 3 4 4 4 3 4 4 3 4 4 4 3 3 4 4 4 4 4 3 4 3 4 3 4 4 4.00 4.00 4.67 4.00 4.00 3.67 4.67 3.67 4.33 4.00 4.00 4.00 4.00 I 4.00 4.33 4.00 4.00 3.67 4.00 3.67 4.33 4.67 4.00 3.33

5 4 3 4 5 4 4 5 4 3 4 4 4 3 4 4 3 4 3 4 4 5 4 3 5.00 4.00 5.00 4.00 3.00 4.00 5.00 3.00 4.00 4.00 4.00 4.00 3.00 4.00 4.00 4.00 4.00 3.00 4.00 3.00 4.00 5.00 4.00 3.00

I

°'-0 Re.pond an/

Pertaft~~ 1 (Y)

.·

::::

.....

.

·~s

3

' .'!i?.I! ::•211 ]i!!i?t! 4

4

3

,,,~,,,

5

:.: 30 'i ~1 ":" 4

3

32

,;'13

4

4

H

,34 ' 3~. 5

3

. 3.t! i 37 4

5

+a.,,

Ave~ge

4

X1

3.95 3.90 4.03 3.7974

0.65 1.43 1.71 0.42

4 5 5 4 20 4 3 4 4 4 4 3 4 5 4 . 24 3 3 4 3 4 4 3 4 3 4 4 4 3 3 ... ;'' 3.50 4.00 3.50 3.50 4.00 3.50 4.50 3.50 4.00 4.00 3.00 4.00 4.50 3.50

4.69 3.95 3.8553

2.58 3.33 0.38

4 4 3 4 5 5 4 3 4 4 5 4 5 5 4 5 5 4 5 5 4 4 4 4 5 4 4 4 4 4 4 5 4 4 4 5 4 4 4 5 4 3 '6() 4 5 4 4 5 4 4 5 5 4 5 5 4 4 . 54 4 4 5 3 5 5 5 5 4 5 4 5 4 4 .. , ............ 3.80 4.80 3.60 4.20 4.00 4.00 4.80 4.40 4.60 4.60 4.00 4.60 4.60 4.40

4.87 5.23 5.13 5.59 5.54 4.2842

4.66 4.75 6.24 7.32 7.99 0.36

5.54 5.79 5.28 4.0097

8.63 9.91 10.15 0.33

5.72 3.9211

11.24 0.59

>U

.. · .,

..

•

X3

,, ,.,,,,

33 .. ·.• 34 .. 43 .

XS

4 4 4 4 4 4 5 4 4 4 4 4 5 4 4 5 4 4 4 4 4 4 4 5 4 4 4 4 3 4 3 4 4 3 3 4 3 4 4 4 3 4 ... ,:;:::;: 3.67 4.00 4.00 3.67 4.67 4.00 4.00 3.67 3.67 4.00 3.67 4.00 4.67 3.67

58 66 ....... 67 X6

74

X7

0.75

4 3 4 5 3 4 4 4 4 4 4 5 4 3 5 3 4 4 2 3 4 4 5 4 3 5 5 4 4 3 5 3 4 3 3 4 4 4 4 4 4 '14 4 ,,::' 3.33 4.00 4.33 3.33 4.33 3.67 3.33 4.00 3.67 3.67 3.67 4.33 .4.33 4.33

..

..

3.8421 .

'.:: .. :/~

.

(all reapondent)

Standard Deviasi

.......... ,.

4 3 4 4 4 4 4 4 4 4 5 4 4 3 3.00 4.00 4.00 3.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 5.00 4.00

'

170

Lampiran 6. Analisis Regressi Linear Berganda Metode Enter (dengan bantuan software SPSSrll.O)

Descriptive Statistics

y

Mean 3.84

Std. Deviation .754

N

X1

3.7974

.42071

38

X3

3.8SS3

.38393

38

XS

4.2842

.36207

38

X6

4.0097

.33311

38

X7

3.9211

.S8732

38

38

Correlations

>Pearson Correlation

Sig. (1-tailed)

N

Lampiran 6

~

<')

><

><

><

><

co

......

Ii)

><

y

1.000

.663

.S26

.881

.7S9

.764

X1

.663

1.000

.31S

.63S

.S04

.663

X3

.S26

.31S

1.000

.440

.644

.547

XS

.881

.63S

.440

1.000

.638

.744

X6

.7S9

.S04

.644

.638

1.000

.69S

X7

.764

.663

.547

.744

.69S

1.000

.000

.000

.000

.000

.000

.000

.001

.000

.003

.000

.000

.000

.000

y X1

.000

X3

.000

.027

XS

.000

.000

.003

X6

.000

.001

.000

.000

X7

.000

.000

.000

.000

.000

y

38

38

38

38

38

38

X1

38

38

38

38

38

38

X3

38

38

38

38

38

38

XS

38

38

38

38

38

38

X6

38

38

38

38

38

38

X7

38

38

38

38

38

38

.027

.000

171

Variables Entered/Removed>

Model 1

Variables Entered X7, X~ X1, X6,X5

Variables Removed

Method Enter

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

Model SummarY'

Model 1

R .9233

R Square .852

Std. Error of the Estimate .312

Adjusted R Square .829

Durbin-W atson 2.388

a. Predictors: (Constant), X7, X3, X1, X6, X5 b. Dependent Variable: Y

ANOV/!l'

Model 1

Lampiran 6

Regression Residual Total

Sum of Squares 17.939

df 5

3.114 1 21.053

i

32 37

Mean Square 3.588 .097

F 36.868

Sig.

.oooa

172

Coefficient continued ... X

Unstandardized Coefficient Standardize Coefficient

~

x

.22

.587 Sig. Correlations I

Collinearit Statisti X

Unstandardized Coefficients Standardized Coefficients

Zero-orde~ Partial Collinearit Statisti

Pa Toleran VIF

X

Unstandardized Coefficients Standardized Coefficient

B Std. ErroJ Bet 1

Collinearit Statisti

Lamniran 6

173

Collinearity Diagnostid

x

Q)

a;

u .f: c

Q)

:;::;

Q)

:l

c>

O>

w

Variance Prooortions

0

'Ci c

0 ()

~ .2! en c 0

x

~

C')

x

x

I.()

x

r--

.00 .02 .36 .60 .01 .00

.00 .03 .28 .43 .16 .09

.00 .00 .01 .15 .02 .82

.00 .00 .01 .01 .95 .02

.00 .32 .07 .10 .14 .37

x

()

Model

Dimension

1

1 2 3 4 5 6

5.974 1.157E-02 7.167E-03 3.509E-03 2.000E-03 1.933E-03

a. Dependent Variable: Y

Lampiran 6

1.000 22.727 28.871 41.263 53.856 55.596

.00 .11 .03 .11 .23 .52

174

Casewise DiagnosticS'

Case Number

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

Std. Residual

-.190 -.670 -1.086 .417 -.257 -.849 -.302 -.367 .442 -.011 -1.095 .813 -1.126 .688 -.684 2.536 .477 -.367 -.307 .627 .014 -1.086 .688 -1.527 1.201 .688 1.347 -.367 -.037 .200 -.607 -.905 .004 2.536 -.678 -1.091 .482 .452

36

37 38


Lampiran6

Predicted Value

y

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

4.06 4.21 5.34 3.87 3.08 3.26 5.09 3.11 3.86 4.00 3.34 3.75 3.35 3.79 4.21 4.21 3.85 3.11 4.10 2.80 4.00 5.34 3.79 2.48 2.63 3.79 3.58 3.11 5.01 3.94 3.19 4.28 4.00 4.21 3.21 4.34 4.85 3.86

Residual

-.06 -.21 -.34 .13 -.08 -.26 -.09 -.11 .14 .00 -.34 .25 -.35 .21 -.21 .79 .15 -.11 -.10 .20 .00 -.34 .21 -.48 .37 .21 .42 -.11 -.01 .06 -.19 -.28 .00 .79 -.21 -.34 .15 .14

175

Residuals StatisticS'

5.34 2.150

3.84 .000

.696 1.000

38 38

.073

.182

.121

.028

38

2.57 -.48 -1.527 -1.727 -.61 -1.785 1.042 .000 .028

5.40 .79 2.536 2.667 .87 2.976 11.615 .139 .314

3.85 .00 .000 -.015 -.01 .000 4.868 .029 .132

.696 .290 .930 1.006 .340 1.056 2.633 .039 .071

38 38 38 38 38 38 38 38 38

Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: Y

Histogram Dependent Variable: Y 10 8

6 4

Std. Dev= .93 Mean=0.00 N= 38.00

1.50 -1.00

000

1.00

Regression Standardized Residual

Lampiran 6

N

Maximum

2.48 -1.961

Standard Error of Predicted Value

2.50 2.00

Mean

Std. Deviation

Minimum Predicted Value Std. Predicted Value

176

Normal P-P Plot of Regression Standardized Residual Dependent Variable: Y

-75

-"

e

(}._

_50

E

u" u

-25

Q)

0

ii_

.l:i

Q_()()

WL----~--~--~-----1

0.00

.25

.SO

_75

1-00

Observed Cum Prob

Scatterplot

"

-u; Q)

Dependent Variable: Y

Q'.

"' ~

(L

u Q)

a; ~

5..---------------------4

3

2

Q)

0

N

E

<>

0

u

<>

0

Q)

u

ii5"

-1

0 0

-2

c 0 ·u; -3

"' 1!

OJ -4 Q)

Q'.

-5 -3

-2

-1

0

Regression Standardized Predicted Value

Lampiran 6

2

3

177

Scatterplot ~


i :1

0

~

§

CL

0

y

Partial Regression Plot Dependent Variable: Y 0 .6 0

.4

0 0

0

.2 0

-.0

0

0 0 0

-.2

0

0" 0

9

0

0

0

0

0 0 0

~

•

-.4

>-

0

0

0

0

"

-.6 -.8

X1

Lampiran 6

-.6

-.4

-.2

0.0

.2

.4

.6

178

Partial Regression Plot Dependent Variable: Y 1.0.---------------------, 0

.8

61 0

.4

..

.2

0 0 0

0

0 0

-.0

0 0

-.2

0

0

0

0

0

0 0

0

0

0

0

0

0

0

-.4

0

0

0 0 0 0

>-

·.6 -.8

-.6

·.4

-.2

0.0

.2

.6

.4

.8

X3

Partial Regression Plot Dependent Variable: Y 1.5.-------------------~

0

1.0

Larnpiran 6

179

Partial Regression Plot Dependent Variable: Y 8 ()

.6 () ()

.4

()

()

()

.2

0

0

()

t

0 ()

o"

0

-.4

0

()

()

0

o"

-.6

()

()

()

-.2

()

0

()

()

0.0

>-

() ()

()

-.8

-.2

-.4

-.6

-.0

.4

.2

.6

X6

Partial Regression Plot Dependent Variable: Y .6 0

.4

()

.2

i

-.0

0

8 ()

0 ()

"'

()

i

-.2

()

"' ()

0

0 ()

0

()

0

()

-.4

•

()

()

>-

-.6 -1.0

X7

Lampiran 6

-.5

0.0

.5

1.0

1.5

180

Lampiran 7. Analisis Regressi Linear Berganda Metode Stepwise (dengan bantuan software SPSSvll.O)

Descriptive Statistics

N

Mean 3.84

Std. Deviation .754

3.7974 3.8553

.42071 .38393

38

4.2842 4.0097

.36207 .33311

38

X6 X7

3.9211

.58732

38

y X1 X3 X5

38 38 38

Correlations

>Pearson Correlation

Sig. ( 1-tailed)

N

LO

CD

,..._

><

><

><

><

.526

.881

.759

.764 .663

y

1.000

.663

X1

.663

1.000

.315

.635

.504

X3

.526

.315

1.000

.440

.644

.547

1.000

X5

.881

.635

.440

.638

.744

X6

.759

.504

.644

.638

1.000

X7

.764

.663

.547

.744

.695

.695 1.000

.000

.000

.000

.000

.000

.027

.000

.001

.000

.000

.000

.000

.000

y X1

•

(")

><

.000

X3 X5

.000

.027

.000

.000

.003

X6

.000

.001

.000

.000

X7

.000

.000

.000

.000

.000

38 38

38

38

38

38

38

38 38

38 38

38

38

38

38

38

38

38

38 38

y X1 X3 X5

.003

.000

38

38 38 38

X6

38

38

38

38

38

38

X7

38

38

38

38

38

38

181

Variables Entered/Removed

Model 1

Variables Removed

Variables Entered

Method Stepwise (Criteria: Probabilit y-of-F-to-e nter <= .050, Probabilit y-of-F-to-r emove >= .100).

X5

2

Stepwise (Criteria: Probabilit y-of-F-to-e nter <= .050, Probabilit y-of-F-to-r emove >= .100).

X6


Model Summarf

Model 1 2

R .881 8 .918b

R Square .777 .842

Std. Error of the Estimate .361 .308

Adjusted R Square .770 .833

Durbin-W atson 2.323

a. Predictors: (Constant), XS b. Predictors: (Constant), XS, X6 c. Dependent Variable: Y ANOV/!f

Model 1

2

Regression Residual Total Regression

I I

Sum of Squares 16.350 4.703 21.053

I I

1 36 37

Mean Square 16.350 I .131

I I

17.732

2

8.866

3.321

35 37

.095

Residual Total

df

21.053

a. Predictors: (Constant), X5 b. Predictors: (Constant), X5, X6 c. Dependent Variable: Y

F 125.147

Sig

.oooa

I

I 93.447

.ooob

182

CoefficientS'

1

(Constant)

Unstandardized Coefficients

B Std. Error

t Sig. X5


B Std. Error

Standardized Coefficients

Beta

t Sig. Correlations

Tolerance VIF

2

(Constant)


B Std. Error

t X5

B Std. Error


Beta

t Sig.

Collinearity Statistics

.881 11.187 .881 .881 .881 1.000 1.000 -5.151 .670

1.394 .182 .669 7.680 .000

Zero-order Partial Part Tolerance VIF

X6

.164

-7.689 000

Sig. Unstandardized Coefficients

Correlations

1.836

.000 Zero-order Partial Part

Collinearity Statistics

-4.023 .706 -5.703 .000

.881 .792 .516 .594 1.685 .753


B


Beta

t Sig. Correlations

Zero-order

.759

Partial Part

.542 .256

Collinearity Statistics a. Dependent Variable: Y

Std. Error

Tolerance VIF

.197 .333 3.817 .001

.594 1.685

183

Excluded Variable$'

Model 1

X1 X3

Beta In .173"

X6 X7 X1 X3 X7

2

.171" .333" .243" .121b .029b .097b

t 1.747 2.031 3.817 2.167 1.396 .324 .868

Sig. .089 .050 .001 .037 .172 .748 .392

Partial Correlation .283 .325 .542 .344 .233 .055 .147

Collinearitv Statistics Minimum Tolerance Tolerance VIF .597 .597 1.675 1.240 .806 .806 .594 .594 1.685 .447 2.239 .447 .580 1.723 .462 1.714 .430 .583 .365 .365 2.742

a. Predictors in the Model: (Constant), X5 b. Predictors in the Model: (Constant), X5, X6 c. Dependent Variable: Y

Collinearity Diagnostid

Model 1 2

Dimension 1 2 1 2 3

Eigenvalue 1.997 3.459E-03 2.994 3.718E-03 2.459E-03


Lamoiran 7

Condition Index 1.000 24.024 1.000 28.378 34.895

Variance Proportions (Constant) .00 1.00 .00 1.00 .00

X5 .00 1.00 .00 .22 .78

X6

.00 .15 .85

184

Casewise Diagnostic$'

Case Number 1

2 3 4

5 6 7 8

Std_ Residual .012

-.893 -1.095 .012 -.518

4 4 5 4 3

-.617 -.190

3 5

-.617

3 4

9 10 11

.111 .012 -1.424

12 13 14

.918 -1.424 .918 -.795

15 16 17 18

y

2.354 .918 -.617

4 3 4

Predicted Value 4.00

4.28 5_34 4.00 3.16 3.19 5.06

Residual .00 -.28

-.34 .00

-.16

3.19

-.19 -.06 -.19

3.97 4.00 3_44

.03 .00 -.44

3_72

.28 -.44

3 4

3.44 3.72

4 5 4

4.24

.28 -.24

4.28 3.72

.72 .28 -.19 .00 .09

19 20 21

.012 .288 .111

4

3.19 4.00 2.91 3.97

22

-1.095

5

5.34

-.34

23 24

.918 -1.221 1.194

4 2 3 4 4

3.72 2.38 2.63

.28 -.38 .37

3.72 3.44 3.19

.28

25 26 27 28 29 30 31 32 33 34 35 36 37 38

3 4 3

.918 1.823 -.617 -.190 .012

3 5 4

-.518 -.991 -.086 2.354 -.617

3 4 4 5 3

-.893 .715

4 5

.819

4

a_ Dependent Variable: Y

506 4.00

.03

.56 -.19 -.06

3.16 4.31

.00 -.16 -.31

4.03 4.28 3.19

-.03 .72 -.19

4.28

-.28

4.78 3.75

.22 .25

185

Residuals StatisticS'

Maximum

2.38 -2.117

5.34 2.160

3.84 .000

.692 1.000

38 38

.052

.154

.083

.026

38

2.45 -.44 -1.424 -1.463 -.46 -1.488 .078

5.40 .72 2.354 2.431 .77 2.628 8.292

3.85 00 .000 -.009 -.01 .003 1.947

.697 .300 .973 1.014 .326 1.046 1.899

38 38 38 38 38 38 38 38 38

Standard Error of Predicted Value Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance

.000 .002

Centered Leverage Value

I

I

Mean

I

.1461 .224


Histogram Dependent Variable: Y 10

8 6

4 std. Dev= .97

Mean=0.00 N= 38.00

-1.50

-.50 -1.00

50 0.00

N

Minimum Predicted Value Std. Predicted Value

2.50

1.50 1.00

Regression Standardized Residual

2.00

.030 .053

Std. Deviation

I

I

I

.0421 .051

186

Normal P-P Plot of Regression Standardized Residual Dependent Variable: Y

.25

0.00

.75

.50

1.00

Observed Cum Prob

1'i

Scatterplot

Ll

'iii Q)

oc


j

6<-~~~~~~~~~~~~~~~~~~~~~

a_

5

11'

Ll

4

Q)

3

Q)

Q}

0

D

2

D

iiN

:g

D

Q)

Ll

:J

(f, c

-2 -3

"'

-4

Q)

Ci Q)

oc

El

D

Qi

lilJ

-1

0

'iii

lllJ D

0

D

~

El

El

-5 -6 -4

-3

-2

-1

0

Regression Standardized Predicted Value

2

3

4

187

Scatterplot Dependent Variable: Y

Q)

.2

>"'

"

Q)

~

"0: "

4

3

j

Q)

Q)

N

2 1

ii

"'

0

iii"'

""

-1

"0

-2

i'"'o'

-3

·u;

0 0 0

§ 0

0

0

0

<> <>

0

Ol Q)

D:'.

-4

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5

y

Partial Regression Plot Dependent Variable: Y 1.5

"

1.0

<> .5

"

0.0

<>

0

0

"

"

0

0

-.5

0

<>

0

" <>

>-

<>

0

-1.0 -.6

-.4

-.2

-0

.2

.4

.6

.8

X5

';

lJ&.iv<.T·•Jt.• Al

!';-: >"l ,.. ~-:

·•x Wid,a Mand,.la "'\LIAY4

188

Partial Regression Plot Dependent Variable: Y

..

.6 .4

2

J

ooJ I

..

-.8

X6

.."

0

-.4

:i

..

.. -.6

-.4

.."

" "

-21

>-

..

.... "

0

" -.2

0.0

.2

.4

.6

JAWABAN Sangat Setuju Ragu- Tidak Sangat PERNYATAAN: Setuju Ragu- Setuju Tidak Setuju

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