Summary Hal.judul, hal.pengesahan, daftar isi, abstrakseorang analis), memandu, mengatur, memimpin proses spesifikasi atau menjernihkan kebutuhan input serta detail untuk sistem yang

LAMPIRAN 1

KUESIONER PENELITIAN

Pengaruh Partisipasi Pemakai terhadap Kepuasan Pemakai dalam

Pengembangan Sistem Informasi dengan Kompleksitas Tugas, Kompleksitas

Sistem, dan Pengaruh Pemakai sebagai Moderating Variable

(Studi Empiris pada Hotel Berbintang di Semarang)

Petunjuk

Kuesioner ini terdiri dari dua bagian, pada tiap bagian berisi beberapa butir

pertanyaan. Untuk menjawab pertanyaan-pertanyaan tersebut, Bapak/Ibu diminta

untuk memberi tanda tickmark (√) pada salah satu kotak yang tersedia.

Sedangkan untuk pertanyaan yang memiliki jawaban isian, Bapak/Ibu diharapkan

menjawab pada tempat yang telah disediakan. Yakinlah bahwa Bapak/Ibu tidak

memberikan tanda tickmark (√) lebih dari satu kotak dan tidak ada pertanyaan

yang belum dijawab atau terlewatkan.

Nama Hotel :

Jenis Kelamin : L / P

Umur : ………… tahun

Pendidikan :

D3 S2 Lainnya ………..

S1 S3

Jabatan : Manajer Sistem Informasi

Manajer Personalia

Manajer Pemasaran

Manajer Keuangan

Lainnya ………..

Lama Bekerja : 1 - 5 tahun

5 - 10 tahun

> 10 tahun

PARTISIPASI PEMAKAI

Instrumen Ives, Olson dan Baroudi (1980) dalam Setianingsih dan

Indriantoro (1998), McKeen et al. (1994) dalam Aplonia (2003)

Bagian ini untuk mengukur peranan dan tanggungjawab pemakai sistem informasi

dalam pengembangan sistem informasi berbasis komputer pada perusahaan.

Penjelasannya adalah sebagai berikut :

1 = Sangat Tidak Setuju

2 = Tidak Setuju

3 = Cukup

4 = Setuju

5 = Sangat Setuju

No Pernyataan 1 2 3 4 5

1. Staff atau anggota bertanggungjawab melakukan

studi kelayakan dan analisa kebutuhan informasi

dari sistem.

2. Manajer bertanggungjawab terhadap studi

kelayakan dan analisa kebutuhan informasi dari

sistem.

3. Manajer menetapkan kebijakan pembiayaan

pengembangan sistem informasi.

4. Manajer mengevaluasi dan menyetujui kebijakan

pembiayaan pengembangan sistem informasi yang

telah dibuat oleh staff divisi sistem informasi.

5. Manajer diwawancarai oleh staff divisi sistem

informasi untuk mengetahui informasi yang

dibutuhkan oleh perusahaan.

6. Manajer terlibat sebagai anggota yang akan

bertanggungjawab dalam merancang file,

pengkodean program, menyiapkan prosedur dan

dokumentasi sistem yang dibutuhkan.

7. Manajer menentukan adanya prosedur

pengendalian dan keamanan sistem yang

dikembangkan.

8. Manajer yang akan mengevaluasi dan menyetujui

prosedur pengendalian dan keamanan sistem yang

dibuat oleh staff divisi sistem informasi.

9. Manajer yang akan menentukan bentuk-bentuk

input output, layout dalam layar monitor, format

laporan dan lain-lainnya.


bentuk input output, layout dalam layar monitor,

format laporan dan lain-lain yang dibuat oleh staff

divisi sistem informasi.

11. Manajer yang bertanggungjawab dalam

melakukan instalasi sistem informasi (uji sistem,

pengembangan file, pelatihan, dan konversi

sistem).

12. Manajer akan mengembangkan pengujian

spesifikasi data untuk instalasi sistem informasi.


pengujian spesifikasi data untuk instalasi sistem

informasi yang dibuat oleh staff divisi sistem

informasi.

14. Manajer yang akan melakukan pengujian terhadap

sistem informasi.

15. Manajer mengevaluasi dan menyetujui hasil

pengujian yang dilakukan oleh staff divisi sistem

informasi.

16. Manajer perlu melakukan pelatihan untuk para

pemakai dari sistem yang dikembangkan.

17. Manajer mengevaluasi dan menyetujui program

yang dibuat oleh staff divisi sistem informasi

untuk pemakai dari sistem yang dikembangkan.

18. Manajer membuat rencana pelaksanaan kegiatan

dan laporan kemajuan pengembangan sistem

informasi.

19. Manajer akan menelaah rencana pelaksanaan

kegiatan dan laporan kemajuan pengembangan

sistem informasi yang dibuat oleh staff divisi

sistem informasi.

KOMPLEKSITAS TUGAS

Instrumen Rizzo et al. (1970) dalam Ratna, Rosalia (2005)

Bagian ini untuk mengukur peranan pemakai sistem informasi terhadap suatu

tugas dalam pengembangan sistem informasi untuk memenuhi tujuan dari fungsi

utama bisnis pada perusahaan. Penjelasannya adalah sebagai berikut :


2 = Tidak Setuju

3 = Cukup

4 = Setuju

5 = Sangat Setuju


1. Selalu jelas bagi saya tugas mana yang harus

saya kerjakan.

2. Alasan mengapa saya harus melakukan setiap

tugas sangatlah tidak jelas bagi saya.

3. Saya selalu dapat mengetahui dengan jelas

bahwa suatu tugas telah dapat saya selesaikan.

4. Sejumlah tugas yang berhubungan dengan

seluruh fungsi bisnis yang ada sangatlah tidak

jelas atau membingungkan.

5. Saya selalu dapat mengetahui dengan jelas

bahwa saya harus mengerjakan suatu tugas

khusus.

6. Sangatlah tidak jelas bagi saya, cara

mengerjakan setiap tugas yang harus saya

lakukan selama ini.

KOMPLEKSITAS SISTEM

Instrumen McFarlan (1982) dalam Santoso, Carnelia (2005)

Bagian ini untuk mengukur tingkat kompleksitas sistem yang dikembangkan pada

perusahaan. Penjelasannya adalah sebagai berikut :


2 = Tidak Setuju

3 = Cukup

4 = Setuju

5 = Sangat Setuju


1. Persyaratan sistem yang telah dispesifikasi

sangat jelas.

2. Persyaratan spesifikasi operasi dalam sistem

merupakan hal yang sangat kompleks.

3. Secara spesifikasi keseluruhan, perancangan

atau desain sistem merupakan tugas yang

kompleks.

PENGARUH PEMAKAI

Instrumen Franz dan Robey dalam Santoso, Carnelia (2005)

Bagian ini untuk mengukur peranan pemakai sistem informasi dalam tahap utama

terhadap proses pengembangan sistem informasi. Penjelasannya adalah sebagai

berikut :

1 = Tidak Ada

2 = Kecil

3 = Cukup

4 = Banyak

5 = Sangat Banyak


1. Pemakai atau kelompok pemakai (daripada

seorang analis), mengambil inisiatif

pemimpin, untuk menjelaskan atau

menjernihkan informasi yang dibutuhkan

a. Tahap desain

b. Tahap implementasi


seorang analis), memandu, mengatur,

memimpin proses spesifikasi atau

menjernihkan kebutuhan input serta detail

untuk sistem yang ada

a. Tahap desain



seorang analis), memandu mengatur,

memimpin proses spesifikasi atau

menjernihkan kebutuhan output serta detail

untuk sistem yang ada

a. Tahap desain


4. Pertemuan antar pemakai (analisis berupa

pertanyaan, jawaban yang dipimpin oleh

analis daripada pemakai)

a. Tahap desain


5. Manajer mengatakan bahwa analis (daripada

pemakai) diasumsikan memiliki

tanggungjawab untuk menyakinkan bahwa

sistem yang ada telah memuaskan dan

memenuhi kebutuhan serta tujuan yang ada

a. Tahap desain



seorang analis), mempengaruhi secara

dominan dalam pemanduan serta pengaturan

terhadap perencanaan untuk pengembangan

sistem informasi

a. Tahap desain


KEPUASAN PEMAKAI

Instrumen Baroudi dan Orlikowski (1988) dalam Aplonia (2003)

Bagian ini untuk mengukur tingkat kepuasan pemakai sistem informasi terhadap

pengembangan sistem informasi. Penjelasannya adalah sebagai berikut :

1 = Sangat Tidak Puas

2 = Tidak Puas

3 = Cukup

4 = Puas

5 = Sangat Puas


1. Manajer merasa puas atas partisipasi dan

keterlibatan dalam operasi dan pengembangan

sistem yang dikembangkan.

2. Manajer merasa puas atas dukungan dan jasa

yang diberikan oleh staff divisi sistem

informasi.

3. Manajer merasa puas atas informasi yang

dihasilkan, peralatan, software dan

dokumentasi.

4. Manajer merasa puas atas keseluruhan sistem

informasi dan lingkungan pendukungnya.

LAMPIRAN 2

Pengiriman dan Pengembalian Kuesioner

No. Nama Hotel Berbintang Dikirim Kembali

1. Hotel Alam Indah 3 1 2. Hotel Bali 2 1 3. Hotel Bukit Permai 3 1 4. Hotel Candi Baru 2 1 5. Hotel Candi Indah 5 3 6. Hotel Permata 3 3 7. Hotel Rinjani Palace 3 3 8. Hotel Bukit Asri 3 1 9. Hotel Muria Walitama 3 3 10. Hotel Srondol Indah 3 3 11. Hotel Surya 2 1 12. New Metro Hotel 8 5 13. Hotel Siliwangi 3 1 14. Santika Premiere 8 7 15. Hotel Grand Candi 5 1 16. Hotel Patra Semarang 8 5

Total Kuesioner 64 40

Karakteristik Responden (n=40)

Karakteristik Responden Frekuensi Persentase Gender Pria 26 65% Wanita 14 35% Usia 21 - 30 th 5 12.5% 31 - 40 th 26 65% 41 - 50 th 6 15% > 50 th 3 7.5% Tingkat Pendidikan Sarjana D3 9 22.5% Sarjana S1 28 70% Sarjana S2 3 7.5% Sarjana S3 - - Lain-lain - - Jabatan Manajer Sistem Informasi 8 20% Manajer Personalia 9 22.5% Manajer Pemasaran 7 17.5% Manajer Keuangan 16 40% Lain-lain - - Lama Bekerja 1 - 5 th 18 45% 5 - 10 th 12 30% > 10 th 10 25%

Data Responden

No. Nama Hotel Berbintang Jenis Kelamin Umur Pendidikan Jabatan Lama Bekerja 1. Hotel Alam Indah P 33 D3 Manajer Keuangan 5-10 th 2. Hotel Bali P 32 D3 Manajer Keuangan 5-10 th 3. Hotel Bukit Permai P 33 D3 Manajer Keuangan 5-10 th 4. Hotel Candi Baru L 32 S1 Manajer Keuangan 1-5 th 5. Hotel Candi Indah P 25 S1 Manajer Keuangan 1-5 th 6. Hotel Candi Indah L 31 S1 Manajer Personalia 1-5 th 7. Hotel Candi Indah L 31 D3 Manajer Pemasaran 5-10 th 8. Hotel Permata P 35 S1 Manajer Keuangan 1-5 th 9. Hotel Permata L 28 S1 Manajer Pemasaran 1-5 th 10. Hotel Permata L 41 D3 Manajer Pemasaran > 10 th 11. Hotel Rinjani Palace P 35 S1 Manajer Personalia 1-5 th 12. Hotel Rinjani Palace L 51 S1 Manajer Keuangan > 10 th 13. Hotel Rinjani Palace L 31 S1 Manajer Sistem Informasi 1-5 th 14. Hotel Bukit Asri L 45 D3 Manajer Keuangan > 10 th 15. Hotel Muria Walitama P 31 S1 Manajer Personalia 1-5 th 16. Hotel Muria Walitama L 35 S1 Manajer Keuangan 1-5 th 17. Hotel Muria Walitama P 31 S1 Manajer Pemasaran 1-5 th 18. Hotel Srondol Indah L 42 D3 Manajer Keuangan > 10 th 19. Hotel Srondol Indah L 35 S1 Manajer Personalia 5-10 th 20. Hotel Srondol Indah P 41 D3 Manajer Pemasaran > 10 th 21. Hotel Surya P 31 S1 Manajer Sistem Informasi 5-10 th 22. New Metro Hotel L 34 S1 Manajer Sistem Informasi 5-10 th

23. New Metro Hotel L 32 S1 Manajer Personalia 1-5 th 24. New Metro Hotel L 44 D3 Manajer Pemasaran > 10 th 25. New Metro Hotel P 28 S1 Manajer Sistem Informasi 1-5 th 26. New Metro Hotel P 26 S1 Manajer Keuangan 1-5 th 27. Hotel Siliwangi L 32 S1 Manajer Personalia 1-5 th 28. Santika Premiere L 33 S1 Manajer Personalia 5-10 th 29. Santika Premiere P 32 S1 Manajer Keuangan 1-5 th 30. Santika Premiere L 40 S1 Manajer Sistem Informasi 5-10 th 31. Santika Premiere L 44 S2 Manajer Personalia > 10 th 32. Santika Premiere P 27 S1 Manajer Sistem Informasi 1-5 th 33. Santika Premiere L 35 S1 Manajer Pemasaran 1-5 th 34. Santika Premiere L 35 S1 Manajer Keuangan 5-10 th 35. Hotel Grand Candi L 52 S1 Manajer Keuangan > 10 th 36. Hotel Patra Semarang L 33 S1 Manajer Sistem Informasi 5-10 th 37. Hotel Patra Semarang L 51 S2 Manajer Keuangan > 10 th 38. Hotel Patra Semarang L 35 S1 Manajer Sistem Informasi 5-10 th 39. Hotel Patra Semarang L 40 S2 Manajer Personalia > 10 th 40. Hotel Patra Semarang L 31 S1 Manajer Keuangan 1-5 th

PARTISIPASI PEMAKAI

No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 1. 4 4 3 3 4 3 2 4 4 4 2 3 2 3 3 4 3 3 3 61 57 2. 4 4 4 4 3 4 3 4 4 4 4 3 4 4 4 3 4 3 3 70 66 3. 3 4 4 3 4 3 4 3 4 4 4 4 3 3 4 4 4 3 3 68 64 4. 4 4 5 5 4 4 4 5 5 5 4 4 4 4 5 4 4 5 5 84 80 5. 4 4 4 4 3 3 4 5 3 4 4 5 5 5 4 5 4 5 4 79 75 6. 2 4 2 4 4 4 4 4 4 4 2 4 4 4 4 2 4 4 4 68 64 7. 4 4 4 3 3 3 3 5 3 4 4 5 5 5 4 4 4 5 4 76 72 8. 4 4 5 5 4 4 4 5 4 5 4 5 4 4 4 5 4 4 5 83 79 9. 5 4 4 4 4 5 4 5 5 4 4 5 5 4 4 4 5 5 4 84 80 10. 4 4 5 4 4 5 5 4 4 5 4 5 5 5 4 4 4 4 5 84 80 11. 4 4 4 4 4 4 4 4 4 4 4 3 3 4 3 4 4 4 4 73 69 12. 5 5 4 4 3 4 4 4 4 4 4 4 4 4 4 3 4 5 4 77 72 13. 4 4 3 4 2 2 3 4 2 4 4 4 4 4 4 4 4 4 4 68 64 14. 4 5 4 4 3 4 4 4 4 3 3 4 4 5 4 4 4 4 5 76 71 15. 5 5 4 4 4 5 4 4 5 4 4 4 5 4 4 5 4 4 5 83 78 16. 5 4 4 5 4 4 4 4 4 4 5 3 4 4 5 5 4 4 4 80 76 17. 4 4 4 4 4 4 5 5 5 5 4 5 4 4 4 4 4 4 3 80 76 18. 4 4 4 4 4 5 5 4 4 4 5 4 4 5 4 4 5 5 4 82 78 19. 4 4 4 5 5 4 5 4 5 5 4 4 5 5 4 5 4 4 4 84 80 20. 4 5 4 4 4 3 4 4 5 5 4 4 3 4 4 4 4 4 4 77 72 21. 4 4 5 5 4 4 3 4 4 4 4 4 5 5 5 4 4 4 4 80 76 22. 4 5 4 5 4 4 4 4 4 5 4 4 5 5 5 5 4 5 4 84 79 23. 4 5 4 5 5 4 5 4 5 5 4 4 4 5 5 4 5 5 4 86 81

24. 4 3 4 5 4 4 4 4 4 4 5 4 4 4 4 5 4 5 5 80 77 25. 4 4 4 5 4 4 4 4 4 5 4 4 5 4 4 4 3 4 5 79 75 26. 4 4 4 4 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 74 70 27. 5 5 5 5 5 4 4 5 4 4 5 4 4 4 4 4 4 4 4 83 78 28. 4 4 4 4 5 5 5 4 4 4 4 4 5 5 4 4 4 4 4 81 77 29. 4 4 4 4 4 5 4 4 5 5 4 5 4 5 5 5 4 5 4 84 80 30. 2 5 4 4 4 5 5 5 4 4 4 5 5 4 4 5 5 5 5 84 79 31. 5 5 4 4 5 4 4 5 5 4 4 4 5 5 5 4 3 4 5 84 79 32. 4 5 4 5 4 5 5 5 4 4 4 4 5 5 4 3 4 4 4 82 77 33. 4 4 4 4 3 4 4 4 5 4 4 4 4 4 5 5 4 4 4 78 74 34. 4 4 5 4 5 4 5 5 4 4 4 4 4 4 5 4 4 4 4 81 77 35. 4 5 4 4 4 4 4 4 4 4 5 4 4 5 4 4 4 4 4 79 74 36. 4 4 4 4 3 4 4 5 4 3 4 5 4 4 5 5 4 4 4 78 74 37. 5 5 4 4 4 5 5 5 5 5 5 5 5 5 3 5 4 4 3 86 81 38. 4 4 4 4 4 4 4 4 4 5 5 4 4 5 4 4 4 4 4 79 75 39. 4 4 4 4 4 5 5 4 4 4 4 5 4 4 4 4 4 4 4 79 75 40. 4 5 4 5 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 79 74

KOMPLEKSITAS TUGAS

No. 1 2 3 4 5 6 1. 3 3 3 3 3 3 18 2. 4 4 4 4 4 4 24 3. 3 4 4 3 4 3 21 4. 4 4 4 5 5 5 27 5. 4 4 5 3 4 5 25 6. 3 4 3 4 3 4 21 7. 5 4 1 2 4 4 20 8. 4 4 5 4 4 5 26 9. 4 4 4 5 4 4 25 10. 4 4 4 4 4 4 24 11. 3 4 3 4 3 4 21 12. 5 4 4 4 4 4 25 13. 2 2 4 4 4 4 20 14. 5 5 5 4 4 5 28 15. 3 3 3 4 3 3 19 16. 4 4 4 4 4 4 24 17. 4 4 4 5 3 5 25 18. 4 4 5 5 4 4 26 19. 4 4 4 4 1 2 19 20. 4 4 4 4 4 4 24 21. 4 4 4 4 4 4 24 22. 4 5 4 4 5 4 26 23. 5 3 4 4 5 5 26 24. 4 4 5 4 4 4 25 25. 4 4 4 4 2 4 22 26. 4 4 4 4 4 4 24 27. 4 4 4 3 4 4 23 28. 4 4 4 4 4 4 24 29. 5 5 4 4 4 4 26 30. 3 2 4 4 4 2 19 31. 5 4 4 4 4 4 25 32. 5 2 4 4 3 4 22 33. 4 4 4 4 4 4 24 34. 4 4 4 4 4 4 24 35. 4 4 4 4 4 4 24 36. 4 4 4 3 4 4 23 37. 4 4 4 4 4 4 24 38. 4 4 4 4 4 4 24 39. 4 4 4 4 4 4 24 40. 4 4 2 4 4 4 22

KOMPLEKSITAS SISTEM

No. 1 2 3 1. 4 2 3 9 2. 4 2 2 8 3. 4 4 3 11 4. 4 5 4 13 5. 4 5 4 13 6. 4 4 3 11 7. 4 4 4 12 8. 4 4 2 10 9. 4 5 4 13 10. 4 4 4 12 11. 4 2 2 8 12. 4 2 4 10 13. 4 2 2 8 14. 4 4 4 12 15. 4 5 5 14 16. 3 2 2 7 17. 4 4 5 13 18. 4 5 5 14 19. 4 4 4 12 20. 4 4 2 10 21. 4 4 5 13 22. 4 5 4 13 23. 4 4 4 12 24. 5 4 4 13 25. 4 3 4 11 26. 4 3 3 10 27. 4 3 3 10 28. 4 4 4 12 29. 4 3 3 10 30. 4 4 3 11 31. 4 4 4 12 32. 3 3 3 9 33. 4 3 3 10 34. 4 4 4 12 35. 4 4 4 12 36. 4 3 4 11 37. 5 4 4 13 38. 3 3 2 8 39. 4 4 4 12 40. 3 4 3 10

PENGARUH PEMAKAI

No. 1 2 3 4 5 6 7 8 9 10 11 12 1. 4 3 3 3 4 4 3 3 3 3 3 3 39 2. 3 4 2 4 2 4 2 4 3 4 3 4 39 3. 2 3 3 4 3 4 4 4 4 5 3 4 43 4. 4 5 4 4 5 4 5 4 4 5 4 4 52 5. 4 4 4 4 4 4 4 4 3 4 3 4 46 6. 4 3 3 3 4 4 4 4 3 3 4 4 43 7. 4 4 3 3 3 4 4 4 3 4 3 4 43 8. 4 4 5 5 3 4 4 5 5 4 4 5 52 9. 4 4 5 4 4 5 5 5 4 4 4 5 53 10. 4 4 5 5 4 4 4 3 5 4 4 4 50 11. 4 4 4 4 4 4 4 4 4 4 4 4 48 12. 2 4 2 4 2 2 2 2 2 4 4 4 34 13. 1 3 2 2 4 4 4 4 4 4 4 4 40 14. 4 5 5 5 4 4 4 4 4 4 4 4 51 15. 4 4 4 4 4 4 4 4 5 4 4 4 49 16. 4 5 3 4 5 5 4 4 5 5 3 4 51 17. 4 4 4 4 4 4 4 4 4 4 4 4 48 18. 4 4 4 4 4 4 4 4 4 4 4 4 48 19. 4 5 5 5 5 5 4 4 4 4 4 4 53 20. 4 4 3 4 5 5 4 4 4 4 4 4 49 21. 4 4 5 5 4 4 5 4 5 4 5 5 54 22. 4 4 5 4 4 4 4 4 4 4 4 4 49

23. 5 5 5 5 4 5 4 4 4 4 4 4 53 24. 5 5 4 4 4 4 4 4 4 5 4 5 52 25. 4 4 4 4 5 5 4 4 4 4 3 3 48 26. 4 4 4 4 4 4 3 4 4 4 4 4 47 27. 4 4 4 4 4 4 4 4 5 5 5 5 52 28. 4 4 4 4 4 4 4 4 4 4 5 5 50 29. 4 4 4 4 5 5 4 4 5 5 4 4 52 30. 4 4 4 4 5 5 4 4 5 5 5 5 54 31. 4 4 4 4 4 3 5 5 4 4 4 4 49 32. 4 4 4 4 4 4 4 4 4 4 5 5 50 33. 4 4 4 4 4 4 3 4 4 4 4 4 47 34. 4 5 4 3 4 4 5 5 4 4 4 4 50 35. 2 2 2 2 2 2 4 4 4 4 5 5 38 36. 4 4 3 4 3 4 3 3 3 4 3 3 41 37. 5 4 5 5 4 4 3 3 4 4 4 4 49 38. 4 4 2 2 2 2 2 4 2 4 3 4 35 39. 4 4 4 4 4 4 2 2 4 4 2 2 40 40. 4 3 4 4 4 4 4 4 5 5 4 5 50

KEPUASAN PEMAKAI

No. 1 2 3 4 1. 3 4 3 3 13 2. 2 2 3 2 9 3. 4 4 4 2 14 4. 4 5 4 4 17 5. 4 3 4 3 14 6. 4 4 4 4 16 7. 4 3 3 3 13 8. 4 4 4 5 17 9. 4 5 5 5 19 10. 4 4 5 5 18 11. 4 4 4 4 16 12. 2 4 2 2 10 13. 2 2 2 2 8 14. 4 4 4 4 16 15. 4 4 4 4 16 16. 3 4 2 3 12 17. 5 4 4 4 17 18. 4 5 5 5 19 19. 4 4 4 4 16 20. 4 3 4 4 15 21. 4 4 4 3 15 22. 4 4 5 5 18 23. 4 5 5 4 18 24. 4 4 4 4 16 25. 4 3 4 4 15 26. 4 4 4 4 16 27. 4 4 4 4 16 28. 4 4 5 4 17 29. 4 4 5 5 18 30. 4 4 4 3 15 31 4 4 4 4 16 32. 4 4 5 4 17 33. 4 5 4 4 17 34. 4 5 5 5 19 35. 5 4 4 4 17 36. 3 4 4 4 15 37. 4 3 4 4 15 38. 4 5 4 4 17 39. 4 4 4 4 16 40. 4 4 4 3 15

LAMPIRAN 3

Descriptives

Uji Validitas

Correlations (Kompleksitas Tugas)

Descriptive Statistics N Minimum Maximum Mean Std. Deviation

PP_tot 40 61 86 78.92 5.622 KT_tot 40 18 28 23.43 2.385 KS_tot 40 7 14 11.10 1.809 PEP_tot 40 34 54 47.28 5.392 KP_tot 40 8 19 15.58 2.490 Valid N (listwise) 40

Correlations KT1 KT2 KT3 KT4 KT5 KT6 KT_tot

Pearson Correlation 1 .402* .099 -.005 .204 .411** .594**

Sig. (2-tailed) .010 .542 .975 .206 .008 .000

KT1

N 40 40 40 40 40 40 40Pearson Correlation .402* 1 .125 .037 .150 .343* .577**

Sig. (2-tailed) .010 .443 .820 .356 .030 .000KT2

N 40 40 40 40 40 40 40Pearson Correlation .099 .125 1 .403** .152 .256 .588**

Sig. (2-tailed) .542 .443 .010 .348 .111 .000KT3

N 40 40 40 40 40 40 40Pearson Correlation -.005 .037 .403** 1 .025 .199 .437**

Sig. (2-tailed) .975 .820 .010 .879 .219 .005KT4

N 40 40 40 40 40 40 40Pearson Correlation .204 .150 .152 .025 1 .473** .586**

Sig. (2-tailed) .206 .356 .348 .879 .002 .000KT5

N 40 40 40 40 40 40 40Pearson Correlation .411** .343* .256 .199 .473** 1 .757**

Sig. (2-tailed) .008 .030 .111 .219 .002 .000KT6

N 40 40 40 40 40 40 40Pearson Correlation .594** .577** .588** .437** .586** .757** 1Sig. (2-tailed) .000 .000 .000 .005 .000 .000

KT_tot

N 40 40 40 40 40 40 40*. Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).

Correlations (Kompleksitas Sistem)

Correlations (Kepuasan Pemakai)

Correlations KP1 KP2 KP3 KP4 KP_tot

Pearson Correlation 1 .432** .668** .595** .794**

Sig. (2-tailed) .005 .000 .000 .000

KP1

N 40 40 40 40 40Pearson Correlation .432** 1 .503** .530** .737**

Sig. (2-tailed) .005 .001 .000 .000KP2

N 40 40 40 40 40Pearson Correlation .668** .503** 1 .766** .893**

Sig. (2-tailed) .000 .001 .000 .000KP3

N 40 40 40 40 40Pearson Correlation .595** .530** .766** 1 .888**

Sig. (2-tailed) .000 .000 .000 .000KP4

N 40 40 40 40 40Pearson Correlation .794** .737** .893** .888** 1Sig. (2-tailed) .000 .000 .000 .000

KP_tot

N 40 40 40 40 40**. Correlation is significant at the 0.01 level (2-tailed).

Correlations KS1 KS2 KS3 KS_tot

Pearson Correlation 1 .236 .364* .518**

Sig. (2-tailed) .142 .021 .001

KS1

N 40 40 40 40 Pearson Correlation .236 1 .615** .868** Sig. (2-tailed) .142 .000 .000

KS2

N 40 40 40 40 Pearson Correlation .364* .615** 1 .892** Sig. (2-tailed) .021 .000 .000

KS3

N 40 40 40 40 Pearson Correlation .518** .868** .892** 1 Sig. (2-tailed) .001 .000 .000

KS_tot

N 40 40 40 40 *. Correlation is significant at the 0.05 level (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).

Correlations (Pengaruh Pemakai)

Correlations PEP1 PEP2 PEP3 PEP4 PEP5 PEP6 PEP7 PEP8 PEP9 PEP10 PEP11 PEP12 PEP_tot

PEP1 Pearson Correlation 1 .564 .650 .493 .444 .411 .149 .119 .206 .003 .006 -.006 .584**

Sig. (2-tailed) .000 .000 .001 .004 .008 .357 .463 .201 .983 .971 .969 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP2 Pearson Correlation .564 1 .469 .524 .389 .382 .152 .127 .104 .249 -.058 -.062 .527**

Sig. (2-tailed) .000 .002 .001 .013 .015 .350 .436 .522 .122 .721 .705 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP3 Pearson Correlation .650 .469 1 .765 .531 .491 .463 .224 .562 .068 .278 .169 .816**

Sig. (2-tailed) .000 .002 .000 .000 .001 .003 .164 .000 .678 .082 .299 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP4 Pearson Correlation .493 .524 .765 1 .352 .461 .144 -.069 .434 .170 .128 .071 .640**

Sig. (2-tailed) .001 .001 .000 .026 .003 .375 .672 .005 .294 .430 .662 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP5 Pearson Correlation .444 .389 .531 .352 1 .771 .512 .173 .564 .242 .153 -.066 .719**

Sig. (2-tailed) .004 .013 .000 .026 .000 .001 .287 .000 .132 .345 .685 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP6 Pearson Correlation .411 .382 .491 .461 .771 1 .362 .227 .502 .206 -.045 -.061 .666**

Sig. (2-tailed) .008 .015 .001 .003 .000 .022 .160 .001 .202 .785 .710 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP7 Pearson Correlation .149 .152 .463 .144 .512 .362 1 .677 .541 .215 .472 .450 .705**

Sig. (2-tailed) .357 .350 .003 .375 .001 .022 .000 .000 .183 .002 .004 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP8 Pearson Correlation .119 .127 .224 -.069 .173 .227 .677 1 .312 .134 .325 .532 .497**

Sig. (2-tailed) .463 .436 .164 .672 .287 .160 .000 .050 .409 .041 .000 .001

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP9 Pearson Correlation .206 .104 .562 .434 .564 .502 .541 .312 1 .494 .432 .367 .758**

Sig. (2-tailed) .201 .522 .000 .005 .000 .001 .000 .050 .001 .005 .020 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP10 Pearson Correlation .003 .249 .068 .170 .242 .206 .215 .134 .494 1 .135 .348 .397*

Sig. (2-tailed) .983 .122 .678 .294 .132 .202 .183 .409 .001 .405 .028 .011

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP11 Pearson Correlation .006 -.058 .278 .128 .153 -.045 .472 .325 .432 .135 1 .785 .481**

Sig. (2-tailed) .971 .721 .082 .430 .345 .785 .002 .041 .005 .405 .000 .002

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP12 Pearson Correlation -.006 -.062 .169 .071 -.066 -.061 .450 .532 .367 .348 .785 1 .445**

Sig. (2-tailed) .969 .705 .299 .662 .685 .710 .004 .000 .020 .028 .000 .004

N 40 40 40 40 40 40 40 40 40 40 40 40 40

PEP_tot Pearson Correlation .584** .527** .816** .640** .719** .666** .705** .497** .758** .397* .481** .445** 1

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .001 .000 .011 .002 .004 N 40 40 40 40 40 40 40 40 40 40 40 40 40**.Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

Correlations (Partisipasi Pemakai)

Correlations

PP1 PP2 PP3 PP4 PP5 PP6 PP7 PP8 PP9 PP10 PP11 PP12 PP13 PP14 PP15 PP16 PP17 PP18 PP19 PP_tot

PP1 Pearson Correlation 1 .187 .356 .178 .072 .107 -.075 .187 .230 .037 .434 -.091 .147 .159 .048 .217 -.195 .043 -.014 .337*

Sig. (2-tailed) .249 .024 .273 .660 .512 .647 .249 .153 .821 .005 .576 .366 .326 .771 .178 .229 .793 .934 .034

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP2 Pearson Correlation .187 1 .036 .112 .163 .167 .227 .135 .226 0 .031 -.008 .164 .240 -.009 -.081 .082 .053 .067 .291

Sig. (2-tailed) .249 .826 .492 .316 .304 .159 .408 .160 1 .849 .959 .313 .136 .956 .620 .614 .746 .680 .069

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP3 Pearson Correlation

.356 .036 1 .366 .290 .253 .245 .306 .193 .214 .502 .207 .236 .184 .308 .320 .104 .132 .299 .596**

Sig. (2-tailed) .024 .826 .020 .069 .115 .127 .055 .232 .185 .001 .200 .142 .255 .053 .044 .522 .418 .061 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP4 Pearson Correlation .178 .112 .366 1 .324 .221 .295 .112 .170 .307 .317 -.118 .317 .219 .358 .160 .081 .252 .384 .543**

Sig. (2-tailed) .273 .492 .020 .041 .171 .064 .492 .296 .054 .046 .469 .046 .175 .023 0 .325 .617 .116 .014 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP5 Pearson Correlation .072 .163 .290 .324 1 .438 .469 .089 .522 .351 .132 -.083 .104 .158 .118 .040 .009 -.014 .090 .480**

Sig. (2-tailed) .660 .316 .069 .041 .005 .002 .586 .001 .026 .419 .609 .523 .330 .468 .808 .956 .934 .579 .002

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP6 Pearson Correlation .107 .167 .253 .221 .438 1 .600 .167 .488 .099 .219 .281 .440 .328 .042 .088 .335 .229 .231 .639**

Sig. (2-tailed) .512 .304 .115 .171 .005 .000 .304 .001 .543 .174 .079 .004 .039 .795 .590 .034 .155 .152 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP7 Pearson Correlation -.075 .227 .245 .295 .469 .600 1 .156 .343 .236 .327 .367 .349 .310 .063 .106 .420 .247 .149 .642**

Sig. (2-tailed) .647 .159 .127 .064 .002 .000 .336 .003 .142 .039 .020 .027 .052 .698 .516 .007 .125 .359 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP8 Pearson Correlation .187 .135 .306 .112 .089 .167 .156 1 .070 0 .109 .493 .377 .154 .081 .140 .082 .317 .151 .432**

Sig. (2-tailed) .249 .408 .055 .492 .586 .304 .336 .667 1 .504 .001 .016 .342 .618 .390 .614 .046 .351 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP9 Pearson Correlation .230 .226 .193 .170 .522 .488 .343 .070 1 .390 .041 .053 .025 .038 .204 .166 .079 .043 .020 .477**

Sig. (2-tailed) .153 .160 .232 .296 .001 .001 .030 .667 .013 .801 .747 .880 .815 .208 .307 .630 .793 .900 .002

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP10 Pearson Correlation .037 0 .214 .307 .351 .099 .236 0 .390 1 .185 .179 .118 .204 .021 .157 -.028 .167 0 .393*

Sig. (2-tailed) .821 1 .185 .054 .026 .543 .142 1 .013 .253 .270 .467 .207 .895 .332 .864 .302 1 .012

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP11 Pearson Correlation

.434 .031 .502 .317 .132 .219 .327 .109 .041 .185 1 .111 .262 .298 .121 .396 .280 .256 .054 .551**

Sig. (2-tailed) .005 .849 .001 .046 .419 .174 .039 .504 .801 .253 .493 .103 .062 .459 .012 .080 .110 .739 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP12 Pearson Correlation -.091 -

.008 .207 -.118 -.083 .281 .367 .493 .053 .179 .111 1 .459 .264 .061 .305 .288 .428 .168 .464**

Sig. (2-tailed) .576 .959 0.200 .469 .609 .079 .020 .001 .747 .270 .493 .003 .099 .709 .056 .071 .006 .300 .003

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP13 Pearson Correlation .147 .164 .236 .317 .104 .440 .349 .377 .025 .118 .262 .459 1 .625 .229 .186 .154 .404 .380 .652**

Sig. (2-tailed) .366 .313 .142 .046 .523 .004 .027 .016 .880 .467 .103 .003 .000 .155 .249 .342 .010 .016 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP14 Pearson Correlation .159 .240 .184 .219 .158 .328 .310 .154 .038 .204 .298 .264 .625 1 .205 .102 .173 .408 .195 .567**

Sig. (2-tailed) .326 .136 .255 .175 .330 .039 .052 .342 .815 .207 .062 .099 .000 .204 .533 .287 .009 .228 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP15 Pearson Correlation .048 -

.009 .308 .358 .118 .042 .063 .081 .204 .021 .121 .061 .229 .205 1 .192 .091 .298 .261 .386*

Sig. (2-tailed) .771 .956 .053 .023 .468 .795 .698 .618 .208 .895 .459 .709 .155 .204 .236 .576 .062 .104 .014

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP16 Pearson Correlation .217 -

.081 .320 .160 .040 .088 .106 .140 .166 .157 .396 .305 .186 .102 .192 1 .074 .242 .212 .443**

Sig. (2-tailed) .178 .620 .044 .325 .808 .590 .516 .390 .307 .332 .012 .056 .249 .533 .236 .650 .132 .189 .004

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP17 Pearson Correlation -.195 .082 .104 .081 .009 .335 .420 .082 .079 -.028 .280 .288 .154 .173 .091 .074 1 .51 -.010 .357*

Sig. (2-tailed) .229 .614 .522 .617 .956 .034 .007 .614 .630 .864 .080 .071 .342 .287 .576 .650 .001 .950 .024

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP18 Pearson Correlation .043 .053 .132 .252 -.014 .229 .247 .317 .043 .167 .256 .428 .404 .408 .298 .242 .516 1 .400 .563**

Sig. (2-tailed) .793 .746 .418 .116 .934 .155 .125 .046 .793 .302 .110 .006 .010 .009 .062 .132 .001 .010 .000

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP19 Pearson Correlation -.014 .067 .299 .384 .090 .231 .149 .151 .020 0 .054 .168 .380 .195 .261 .212 -.010 .400 1 .435**

Sig. (2-tailed) .934

.680 .061 .014 .579 .152 .359 .351 .900 1 .739 .300 .016 .228 .104 .189 .950 .010 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

PP_tot Pearson Correlation .337* .291 .596** .543** .480** .639** .642** .432** .477** .393* .551** .464** .652** .567** .386* .443** .357* .563** .435** 1

Sig. (2-tailed) .034 .069 .000 .000 .002 .000 .000 .005 .002 .012 .000 .003 .000 .000 .014 .004 .024 .000 .005

N 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

*. Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).

Uji Reliabilitas

Reliability (Partisipasi Pemakai)

Case Processing Summary N %

Valid 40 100.0

Excludeda 0 .0

Cases

Total 40 100.0a. Listwise deletion based on all variables in the procedure.

Scale Statistics

Mean Variance Std. Deviation N of Items

74.62 30.189 5.494 18

Reliability Statistics

Cronbach's Alpha

Cronbach's Alpha Based on

Standardized Items N of Items

.826 .824 18

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

PP1 70.57 28.302 .218 .546 .828PP3 70.57 26.815 .537 .562 .811PP4 70.40 27.067 .465 .545 .815PP5 70.72 27.128 .373 .542 .820PP6 70.57 25.687 .551 .633 .809PP7 70.47 25.794 .549 .620 .809PP8 70.32 28.020 .348 .463 .820PP9 70.45 27.331 .369 .635 .820PP10 70.37 28.087 .314 .541 .822PP11 70.57 26.661 .473 .590 .814PP12 70.45 27.433 .386 .680 .819PP13 70.40 25.682 .569 .639 .808PP14 70.27 26.974 .478 .497 .814PP15 70.45 28.100 .307 .413 .822PP16 70.45 27.228 .356 .341 .821PP17 70.60 28.708 .287 .606 .823PP18 70.42 26.969 .496 .667 .813PP19 70.52 27.692 .346 .512 .821

Reliability (Kompleksitas Tugas)


Valid 40 100.0

Excludeda 0 .0

Cases



Cronbach's Alpha



.627 .626 6





Correlation

Squared Multiple

Correlation


Deleted

KT1 19.45 4.254 .367 .253 .581KT2 19.58 4.302 .344 .202 .589KT3 19.53 4.153 .323 .202 .600KT4 19.50 4.821 .214 .190 .631KT5 19.62 4.189 .329 .233 .596KT6 19.45 3.741 .592 .395 .489

Reliability (Kompleksitas Sistem)


Valid 40 100.0

Excludeda 0 .0

Cases


Scale Statistics Mean Variance Std. Deviation N of Items

23.42 5.687 2.385 6


Cronbach's Alpha



.665 .671 3





Correlation

Squared Multiple

Correlation


Deleted

KS1 7.15 2.695 .333 .133 .761KS2 7.45 1.228 .585 .378 .418KS3 7.60 1.169 .654 .428 .289

Reliability (Pengaruh Pemakai)


Valid 40 100.0

Excludeda 0 .0

Cases



Cronbach's Alpha



.849 .842 12


11.10 3.272 1.809 3





Correlation

Squared Multiple

Correlation


Deleted

PEP1 43.45 24.767 .476 .619 .841PEP2 43.28 25.846 .433 .614 .843PEP3 43.48 21.692 .743 .832 .818PEP4 43.35 24.387 .544 .769 .836PEP5 43.40 23.374 .632 .832 .829PEP6 43.25 24.346 .579 .749 .833PEP7 43.48 23.692 .618 .727 .830PEP8 43.38 26.087 .401 .702 .845PEP9 43.30 23.395 .686 .741 .825PEP10 43.12 27.240 .318 .642 .849PEP11 43.40 25.990 .374 .821 .847PEP12 43.15 26.387 .341 .861 .849

Reliability (Kepuasan Pemakai)


Valid 40 100.0

Excludeda 0 .0

Cases



Cronbach's Alpha



.848 .848 4


47.28 29.076 5.392 12





Correlation

Squared Multiple

Correlation


Deleted

KP1 11.75 4.090 .663 .470 .820KP2 11.62 4.087 .555 .312 .858KP3 11.58 3.328 .788 .662 .759KP4 11.77 3.153 .765 .623 .772


15.58 6.199 2.490 4

LAMPIRAN 4

HIPOTESIS 1 Model 1

No. PP KP Res 1 Res 12 Ln 1 1. 57 13 2.20970 4.88279 1.59 2. 66 9 -4.23354 17.92293 2.89 3. 64 14 1.30939 1.71451 0.54 4. 80 17 -0.03416 0.00116 -6.75 5. 75 14 -1.67680 2.81166 1.03 6. 64 16 3.30939 10.95210 2.39 7. 72 13 -1.86238 3.46847 1.24 8. 79 17 0.23730 0.05631 -2.88 9. 80 19 1.96583 3.86450 1.35 10. 80 18 0.96583 0.93283 -0.07 11. 69 16 1.95203 3.81043 1.34 12. 72 10 -4.86238 23.64278 3.16 13. 64 8 -4.69060 22.00176 3.09 14. 71 16 1.40908 1.98552 0.69 15. 78 16 -0.49121 0.24129 -1.42 16. 76 12 -3.94827 15.58887 2.75 17. 76 17 1.05172 1.10612 0.10 18. 78 19 2.50878 6.29397 1.84 19. 80 16 -1.03416 1.06949 0.07 20. 72 15 0.13761 0.01893 -3.97 21. 76 15 -0.94827 0.89922 -0.11 22. 79 18 1.23730 1.53093 0.43 23. 81 18 0.69436 0.48213 -0.73 24. 77 16 -0.21974 0.04828 -3.03 25. 75 15 -0.67680 0.45806 -0.78 26. 70 16 1.68056 2.82428 1.04 27. 78 16 -0.49121 0.24129 -1.42 28. 77 17 0.78025 0.60879 -0.50 29. 80 18 0.96583 0.93283 -0.07 30. 79 15 -1.76269 3.10708 1.13 31. 79 16 -0.76269 0.58169 -0.54 32. 77 17 0.78025 0.60879 -0.50 33. 74 17 1.59467 2.54297 0.93 34. 77 19 2.78025 7.72980 2.05 35. 74 17 1.59467 2.54297 0.93 36. 74 15 -0.40532 0.16429 -1.81 37. 81 15 -2.30563 5.31596 1.67 38. 75 17 1.32319 1.75085 0.56 39. 75 16 0.32319 0.10445 -2.26 40. 74 15 -0.40532 0.16429 -1.81

Uji Normalitas

NPar Tests

Uji Multikolonieritas & Uji Hipotesis

Regression

Variables Entered/Removedb

Model Variables Entered

Variables Removed Method

1 PP_tota . Enter a. All requested variables entered. b. Dependent Variable: KP_tot

Model Summaryb

Model R R Square Adjusted R

Square Std. Error of the

Estimate

1 .599a .359 .342 2.020a. Predictors: (Constant), PP_tot

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 40Mean .0000000Normal Parametersa Std. Deviation 1.99361535Absolute .111Positive .076

Most Extreme Differences

Negative -.111Kolmogorov-Smirnov Z .703Asymp. Sig. (2-tailed) .706a. Test distribution is Normal.

ANOVAb

Model Sum of Squares Df Mean Square F Sig.

Regression 86.769 1 86.769 21.272 .000a

Residual 155.006 38 4.079

1

Total 241.775 39

a. Predictors: (Constant), PP_tot b. Dependent Variable: KP_tot

Collinearity Diagnosticsa Variance Proportions

Model Dimension Eigenvalue Condition Index (Constant) PP_tot

1 1.997 1.000 .00 .001

2 .003 27.546 1.00 1.00a. Dependent Variable: KP_tot

Uji Heteroskedastisitas

Regression




1 PP_tota . Enter a. All requested variables entered. b. Dependent Variable: Ln_1

Model Summary



Estimate

1 .385a .149 .126 1.90301a. Predictors: (Constant), PP_tot

Coefficientsa Unstandardized

Coefficients Standardized Coefficients

Collinearity Statistics

Model B Std. Error Beta t Sig. Tolerance VIF

(Constant) -4.684 4.404 -1.063 .294 1

PP_tot .271 .059 .599 4.612 .000 1.000 1.000a. Dependent Variable: KP_tot

Coefficient Correlationsa Model PP_tot

Correlations PP_tot 1.0001

Covariances PP_tot .003a. Dependent Variable: KP_tot

ANOVAb

Model Sum of Squares df Mean Square F Sig.

Regression 24.009 1 24.009 6.630 .073a

Residual 137.615 38 3.621

1

Total 161.624 39

a. Predictors: (Constant), PP_tot b. Dependent Variable: Ln_1

Coefficientsa

Unstandardized Coefficients Standardized Coefficients

Model B Std. Error Beta t Sig.

(Constant) 10.761 4.150 2.593 .0341

PP_tot -.143 .055 -.385 -2.575 .073a. Dependent Variable: Ln_1 Uji Autokorelasi

Regression




1 PP_tota . Enter a. All requested variables entered. b. Dependent Variable: KP_tot

Model Summaryb



Estimate Durbin-Watson

1 .599a .359 .342 2.020 2.154 a. Predictors: (Constant), PP_tot b. Dependent Variable: KP_tot

ANOVAb


Regression 86.769 1 86.769 21.272 .000a

Residual 155.006 38 4.079

1

Total 241.775 39

a. Predictors: (Constant), PP_tot b. Dependent Variable: KP_tot

Coefficientsa



(Constant) -4.684 4.404 -1.063 .2941

PP_tot .271 .059 .599 4.612 .000a. Dependent Variable: KP_tot

Residuals Statisticsa Minimum Maximum Mean Std. Deviation N

Predicted Value 10.79 17.31 15.58 1.492 40 Residual -4.862 3.309 .000 1.994 40 Std. Predicted Value -3.208 1.160 .000 1.000 40 Std. Residual -2.408 1.639 .000 .987 40 a. Dependent Variable: KP_tot

HIPOTESIS 2 Model 2

No. PP KT Moderat1 KP ZPP ZKT AbsPP_KT Res 2 Res 22 Ln 2 1. 57 18 39 13 -3.20778 -2.27497 0.93 2.47674 6.13427 1.81 2. 66 24 42 9 -1.56976 0.24113 1.81 -4.52957 20.51708 3.02 3. 64 21 43 14 -1.93377 -1.01692 0.92 1.35868 1.84603 0.61 4. 80 27 53 17 0.97826 1.49917 0.52 -0.36934 0.13641 -1.99 5. 75 25 50 14 0.06825 0.66048 0.59 -1.87531 3.51682 1.26 6. 64 21 43 16 -1.93377 -1.01692 0.92 3.35868 11.28078 2.42 7. 72 20 52 13 -0.47775 -1.43627 0.96 -1.47685 2.18111 0.78 8. 79 26 53 17 0.79626 1.07982 0.28 0.00873 0.00008 -9.48 9. 80 25 55 19 0.97826 0.66048 0.32 1.89489 3.59061 1.28

10. 80 24 56 18 0.97826 0.24113 0.74 1.02700 1.05474 0.05 11. 69 21 48 16 -1.02376 -1.01692 0.01 2.12889 4.53220 1.51 12. 72 25 47 10 -0.47775 0.66048 1.14 -5.13744 26.39333 3.27 13. 64 20 44 8 -1.93377 -1.43627 0.50 -4.50919 20.33283 3.01 14. 71 28 43 16 -0.65976 1.91852 2.58 0.71216 0.50717 -0.68 15. 78 19 59 16 0.61425 -1.85562 2.47 0.17951 0.03222 -3.44 16. 76 24 52 12 0.25025 0.24113 0.01 -3.98915 15.91339 2.77 17. 76 25 51 17 0.25025 0.66048 0.41 0.87872 0.77215 -0.26 18. 78 26 52 19 0.61425 1.07982 0.47 2.25468 5.08362 1.63 19. 80 19 61 16 0.97826 -1.85562 2.83 -0.31240 0.09759 -2.33 20. 72 24 48 15 -0.47775 0.24113 0.72 -0.00532 0.00003 -10.47 21. 76 24 52 15 0.25025 0.24113 0.01 -0.98915 0.97843 -0.02 22. 79 26 53 18 0.79626 1.07982 0.28 1.00873 1.01753 0.02 23. 81 26 55 18 1.16026 1.07982 0.08 0.51681 0.26709 -1.32 24 77 25 52 16 0.43225 0.66048 0.23 -0.36723 0.13486 -2.00 25. 75 22 53 15 0.06825 -0.59757 0.67 -0.47896 0.22940 -1.47 26. 70 24 46 16 -0.84176 0.24113 1.08 1.48658 2.20994 0.79 27. 78 23 55 16 0.61425 -0.17822 0.79 -0.34895 0.12177 -2.11 28. 77 24 53 17 0.43225 0.24113 0.19 0.76488 0.58504 -0.54 29. 80 26 54 18 0.97826 1.07982 0.10 0.76277 0.58182 -0.54 30. 79 19 60 15 0.79626 -1.85562 2.65 -1.06644 1.13731 0.13 31. 79 25 54 16 0.79626 0.66048 0.14 -0.85915 0.73814 -0.30 32. 77 22 55 17 0.43225 -0.59757 1.03 1.02911 1.05908 0.06 33. 74 24 50 17 -0.11375 0.24113 0.35 1.50275 2.25827 0.81 34. 77 24 53 19 0.43225 0.24113 0.19 2.76488 7.64457 2.03 35. 74 24 50 17 -0.11375 0.24113 0.35 1.50275 2.25827 0.81 36. 74 23 51 15 -0.11375 -0.17822 0.06 -0.36512 0.13331 -2.02 37. 81 24 57 15 1.16026 0.24113 0.92 -2.21894 4.92373 1.59 38. 75 24 51 17 0.06825 0.24113 0.17 1.25679 1.57954 0.46 39. 75 24 51 16 0.06825 0.24113 0.17 0.25679 0.06594 -2.72 40. 74 22 52 15 -0.11375 -0.59757 0.48 -0.23300 0.05429 -2.91

Uji Normalitas

NPar Tests

Uji Multikolonieritas & Uji Hipotesis

Descriptives


PP_tot 40 57 81 74.62 5.494 KT_tot 40 18 28 23.43 2.385 Valid N (listwise) 40

Regression




1 AbsPP_KT, Zscore(PP_tot), Zscore(KT_tot)a

. Enter

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

One-Sample Kolmogorov-Smirnov Test





Model Summary



Estimate

1 .624a .390 .339 2.024a. Predictors: (Constant), AbsPP_KT, Zscore(PP_tot), Zscore(KT_tot)

ANOVAb


Regression 94.238 3 31.413 7.665 .000a

Residual 147.537 36 4.098

1

Total 241.775 39

a. Predictors: (Constant), AbsPP_KT, Zscore(PP_tot), Zscore(KT_tot) b. Dependent Variable: KP_tot

Coefficient Correlationsa Model AbsPP_KT Zscore(PP_tot) Zscore(KT_tot)

AbsPP_KT 1.000 -.093 .399

Zscore(PP_tot) -.093 1.000 -.443

Correlations

Zscore(KT_tot) .399 -.443 1.000

AbsPP_KT .222 -.016 .074

Zscore(PP_tot) -.016 .132 -.064

1

Covariances

Zscore(KT_tot) .074 -.064 .156 a. Dependent Variable: KP_tot





(Constant) 15.929 .469 33.959 .000

Zscore(PP_tot) 1.386 .364 .557 3.813 .001 .795 1.258

Zscore(KT_tot) .153 .395 .061 .386 .701 .674 1.483

1

AbsPP_KT -.487 .472 -.147 -1.032 .309 .832 1.202a. Dependent Variable: KP_tot


Model Dimension Eigenvalue

Condition Index (Constant) Zscore(PP_tot) Zscore(KT_tot) AbsPP_KT

1 1.805 1.000 .09 .03 .06 .10

2 1.377 1.145 .06 .24 .17 .02

3 .583 1.760 .07 .67 .46 .02

1

4 .236 2.766 .78 .06 .32 .86a. Dependent Variable: KP_tot Uji Heteroskedastisitas

Regression




1 moderat1, KT_tota . Enter

a. Tolerance = .000 limits reached. b. Dependent Variable: Ln2

Model Summary



Estimate

1 .304a .092 .043 2.76945a. Predictors: (Constant), moderat1, KT_tot

ANOVAb


Regression 28.916 2 14.458 1.885 .166a

Residual 283.785 37 7.670

1

Total 312.702 39

a. Predictors: (Constant), moderat1, KT_tot b. Dependent Variable: Ln2

Coefficientsa



(Constant) 11.132 6.322 1.761 .087

KT_tot -.140 .186 -.118 -.752 .457

1

moderat1 -.161 .090 -.279 -1.781 .083a. Dependent Variable: Ln2

Excluded Variablesb Collinearity

Statistics Model Beta In t Sig.

Partial Correlation Tolerance

1 PP_tot .a . . . .000 a. Predictors in the Model: (Constant), moderat1, KT_tot b. Dependent Variable: Ln2 Uji Autokorelasi

Regression




1 moderat1, KT_tota . Enter

a. Tolerance = .000 limits reached. b. Dependent Variable: KP_tot

Model Summaryb




1 .610a .372 .338 2.026 2.126 a. Predictors: (Constant), moderat1, KT_tot b. Dependent Variable: KP_tot

ANOVAb


Regression 89.874 2 44.937 10.946 .000a

Residual 151.901 37 4.105

1

Total 241.775 39

a. Predictors: (Constant), moderat1, KT_tot b. Dependent Variable: KP_tot

Coefficientsa



(Constant) -5.874 4.626 -1.270 .212

KT_tot .378 .136 .362 2.779 .009

1

moderat1 .246 .066 .486 3.730 .001a. Dependent Variable: KP_tot




1 PP_tot .a . . . .000 a. Predictors in the Model: (Constant), moderat1, KT_tot b. Dependent Variable: KP_tot



HIPOTESIS 3 Model 3

No. PP KS Moderat2 KP ZPP ZKS AbsPP_KS Res 3 Res 32 Ln 3 1. 57 9 48 13 -3.20778 -1.16098 2.05 1.92242 3.69569 1.31 2. 66 8 58 9 -1.56976 -1.71383 0.14 -3.58217 12.83191 2.55 3. 64 11 53 14 -1.93377 -0.05528 1.88 0.69063 0.47696 -0.74 4. 80 13 67 17 0.97826 1.05041 0.07 -0.42791 0.18311 -1.70 5. 75 13 62 14 0.06825 1.05041 0.98 -2.37972 5.66308 1.73 6. 64 11 53 16 -1.93377 -0.05528 1.88 2.69063 7.23947 1.98 7. 72 12 60 13 -0.47775 0.49756 0.98 -2.36864 5.61048 1.72 8. 79 10 69 17 0.79626 -0.60813 1.40 0.92821 0.86157 -0.15 9. 80 13 67 19 0.97826 1.05041 0.07 1.57209 2.47145 0.90

10. 80 12 68 18 0.97826 0.49756 0.48 0.95425 0.91059 -0.09 11. 69 8 61 16 -1.02376 -1.71383 0.69 2.78892 7.77807 2.05 12. 72 10 62 10 -0.47775 -0.60813 0.13 -4.60432 21.19977 3.05 13. 64 8 56 8 -1.93377 -1.71383 0.22 -4.16289 17.32964 2.85 14. 71 12 59 16 -0.65976 0.49756 1.16 0.84099 0.70727 -0.35 15. 78 14 64 16 0.61425 1.60326 0.99 -1.39080 1.93432 0.66 16. 76 7 69 12 0.25025 -2.26668 2.52 -2.29639 5.27340 1.66 17. 76 13 63 17 0.25025 1.05041 0.80 0.41064 0.16862 -1.78 18. 78 14 64 19 0.61425 1.60326 0.99 1.60920 2.58953 0.95 19. 80 12 68 16 0.97826 0.49756 0.48 -1.04575 1.09360 0.09 20. 72 10 62 15 -0.47775 -0.60813 0.13 0.39568 0.15656 -1.85 21. 76 13 63 15 0.25025 1.05041 0.80 -1.58936 2.52607 0.93 22. 79 13 66 18 0.79626 1.05041 0.25 0.78172 0.61109 -0.49 23. 81 12 69 18 1.16026 0.49756 0.66 0.74461 0.55444 -0.59 24. 77 13 64 16 0.43225 1.05041 0.62 -0.79900 0.63840 -0.45 25. 75 11 64 15 0.06825 -0.05528 0.12 -0.61540 0.37872 -0.97 26. 70 10 60 16 -0.84176 -0.60813 0.23 1.81496 3.29407 1.19 27. 78 10 68 16 0.61425 -0.60813 1.22 0.13785 0.01900 -3.96 28. 77 12 65 17 0.43225 0.49756 0.07 0.58316 0.34008 -1.08 29. 80 10 70 18 0.97826 -0.60813 1.59 1.71857 2.95349 1.08 30. 79 11 68 15 0.79626 -0.05528 0.85 -1.45395 2.11398 0.75 31. 79 12 67 16 0.79626 0.49756 0.30 -0.83611 0.69909 -0.36 32. 77 9 68 17 0.43225 -1.16098 1.59 1.72965 2.99168 1.10 33. 74 10 64 17 -0.11375 -0.60813 0.49 1.97640 3.90617 1.36 34. 77 12 65 19 0.43225 0.49756 0.07 2.58316 6.67273 1.90 35. 74 12 62 17 -0.11375 0.49756 0.61 1.21208 1.46913 0.38 36. 74 11 63 15 -0.11375 -0.05528 0.06 -0.40576 0.16464 -1.80 37. 81 13 68 15 1.16026 1.05041 0.11 -2.63755 6.95669 1.94 38. 75 8 67 17 0.06825 -1.71383 1.78 2.53109 6.40640 1.86 39. 75 12 63 16 0.06825 0.49756 0.43 0.00244 0.00001 -12.03 40. 74 10 64 15 -0.11375 -0.60813 0.49 -0.02360 0.00056 -7.49

Uji Normalitas

NPar Tests One-Sample Kolmogorov-Smirnov Test




Negative -.107Kolmogorov-Smirnov Z .680Asymp. Sig. (2-tailed) .745a. Test distribution is Normal. Uji Multikolonieritas dan Uji Hipotesis

Descriptives


PP_tot 40 57 81 74.62 5.494 KS_tot 40 7 14 11.10 1.809 Valid N (listwise) 40

Regression




1 AbsPP_KS, Zscore(PP_tot), Zscore(KS_tot)a

. Enter


Model Summary



Estimate

1 .679a .460 .415 1.904a. Predictors: (Constant), AbsPP_KS, Zscore(PP_tot), Zscore(KS_tot)

ANOVAb


Regression 111.306 3 37.102 10.237 .000a

Residual 130.469 36 3.624

1

Total 241.775 39

a. Predictors: (Constant), AbsPP_KS, Zscore(PP_tot), Zscore(KS_tot) b. Dependent Variable: KP_tot





(Constant) 14.928 .486 30.692 .000

Zscore(PP_tot) 1.226 .353 .492 3.476 .001 .747 1.339

Zscore(KS_tot) .848 .362 .341 2.343 .025 .709 1.411

1

AbsPP_KS .852 .503 .223 1.694 .099 .865 1.156a. Dependent Variable: KP_tot

Coefficient Correlationsa Model AbsPP_KS Zscore(PP_tot) Zscore(KS_tot)

AbsPP_KS 1.000 .124 .256

Zscore(PP_tot) .124 1.000 -.440

Correlations

Zscore(KS_tot) .256 -.440 1.000

AbsPP_KS .253 .022 .047

Zscore(PP_tot) .022 .124 -.056

1

Covariances

Zscore(KS_tot) .047 -.056 .131 a. Dependent Variable: KP_tot


Model Dimension Eigenvalue

Condition Index (Constant) Zscore(PP_tot) Zscore(KS_tot) AbsPP_KS

1 1.876 1.000 .07 .04 .05 .08

2 1.411 1.153 .05 .20 .18 .02

3 .510 1.918 .00 .75 .67 .00

1

4 .203 3.039 .87 .01 .10 .90a. Dependent Variable: KP_tot

Uji Heteroskedastisitas

Regression




1 moderat2, KS_tota . Enter


Model Summary



Estimate

1 .210a .044 -.008 2.76419a. Predictors: (Constant), moderat2, KS_tot

ANOVAb


Regression 13.046 2 6.523 .854 .434a

Residual 282.707 37 7.641

1

Total 295.753 39

a. Predictors: (Constant), moderat2, KS_tot b. Dependent Variable: Ln3

Coefficientsa



(Constant) 6.425 6.034 1.065 .294

KS_tot -.252 .249 -.166 -1.014 .317

1

moderat2 -.058 .093 -.102 -.625 .536a. Dependent Variable: Ln3


Statistics Model Beta In T Sig.


1 PP_tot .a . . . .000 a. Predictors in the Model: (Constant), moderat2, KS_tot b. Dependent Variable: Ln3

Uji Autokorelasi

Regression




1 moderat2, KS_tota . Enter


Model Summaryb




1 .646a .417 .386 1.951 2.171 a. Predictors: (Constant), moderat2, KS_tot b. Dependent Variable: KP_tot

ANOVAb


Regression 100.903 2 50.452 13.251 .000a

Residual 140.872 37 3.807

1

Total 241.775 39

a. Predictors: (Constant), moderat2, KS_tot b. Dependent Variable: KP_tot

Coefficientsa



(Constant) -4.311 4.259 -1.012 .318

KS_tot .592 .176 .430 3.368 .002

1



Statistics Model Beta In T Sig.


1 PP_tot .a . . . .000 a. Predictors in the Model: (Constant), moderat2, KS_tot b. Dependent Variable: KP_tot



HIPOTESIS 4 Model 4

No. PP PEP Moderat3 KP ZPP ZPEP AbsPP_PEP Res 4 Res 42 Ln 4 1. 57 39 18 13 -3.20778 -1.53461 1.67 1.95158 3.80868 1.34 2. 66 39 27 9 -1.56976 -1.53461 0.04 -3.92706 15.42178 2.74 3. 64 43 21 14 -1.93377 -0.79281 1.14 1.08071 1.16794 0.16 4. 80 52 28 17 0.97826 0.87626 0.10 -0.18093 0.03274 -3.42 5. 75 46 29 14 0.06825 -0.23645 0.30 -1.52268 2.31856 0.84 6. 64 43 21 16 -1.93377 -0.79281 1.14 3.08071 9.49079 2.25 7. 72 43 29 13 -0.47775 -0.79281 0.32 -1.58919 2.52553 0.93 8. 79 52 27 17 0.79626 0.87626 0.08 0.02781 0.00077 -7.16 9. 80 53 27 19 0.97826 1.06171 0.08 1.71664 2.94686 1.08

10. 80 50 30 18 0.97826 0.50536 0.47 1.02392 1.04842 0.05 11. 69 48 21 16 -1.02376 0.13445 1.16 1.52489 2.32530 0.84 12. 72 34 38 10 -0.47775 -2.46187 1.98 -3.66735 13.44949 2.60 13. 64 40 24 8 -1.93377 -1.34916 0.58 -4.61201 21.27062 3.06 14. 71 51 20 16 -0.65976 0.69081 1.35 0.80014 0.64022 -0.45 15. 78 49 29 16 0.61425 0.31990 0.29 -0.45618 0.20810 -1.57 16. 76 51 25 12 0.25025 0.69081 0.44 -4.24355 18.00774 2.89 17. 76 48 28 17 0.25025 0.13445 0.12 1.06373 1.13151 0.12 18. 78 48 30 19 0.61425 0.13445 0.48 2.64625 7.00264 1.95 19. 80 53 27 16 0.97826 1.06171 0.08 -1.28336 1.64701 0.50 20. 72 49 23 15 -0.47775 0.31990 0.80 -0.20375 0.04151 -3.18 21. 76 54 22 15 0.25025 1.24716 1.00 -1.55083 2.40508 0.88 22. 79 49 30 18 0.79626 0.31990 0.48 1.33509 1.78245 0.58 23. 81 53 28 18 1.16026 1.06171 0.10 0.50791 0.25797 -1.35 24. 77 52 25 16 0.43225 0.87626 0.44 -0.55472 0.30771 -1.18 25. 75 48 27 15 0.06825 0.13445 0.07 -0.72754 0.52931 -0.64 26. 70 47 23 16 -0.84176 -0.05100 0.79 1.41858 2.01237 0.70 27. 78 52 26 16 0.61425 0.87626 0.26 -0.76345 0.58286 -0.54 28. 77 50 27 17 0.43225 0.50536 0.07 0.65014 0.42268 -0.86 29. 80 52 28 18 0.97826 0.87626 0.10 0.81907 0.67087 -0.40 30. 79 54 25 15 0.79626 1.24716 0.45 -2.17705 4.73953 1.56 31. 79 49 30 16 0.79626 0.31990 0.48 -0.66491 0.44211 -0.82 32. 77 50 27 17 0.43225 0.50536 0.07 0.65014 0.42268 -0.86 33. 74 47 27 17 -0.11375 -0.05100 0.06 1.58363 2.50788 0.92 34. 77 50 27 19 0.43225 0.50536 0.07 2.65014 7.02322 1.95 35. 74 38 36 17 -0.11375 -1.72006 1.61 2.50546 6.27735 1.84 36. 74 41 33 15 -0.11375 -1.16371 1.05 0.19819 0.03928 -3.24 37. 81 49 32 15 1.16026 0.31990 0.84 -2.08239 4.33635 1.47 38. 75 35 40 17 0.06825 -2.27642 2.34 2.60401 6.78085 1.91 39. 75 40 35 16 0.06825 -1.34916 1.42 1.09187 1.19219 0.18 40. 74 50 24 15 -0.11375 0.50536 0.62 -0.72365 0.52367 -0.65

Uji Normalitas

NPar Tests

One-Sample Kolmogorov-Smirnov Test Unstandardized

Residual




Uji Multikolonieritas dan Uji Hipotesis

Descriptives Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

PP_tot 40 57 81 74.62 5.494 PEP_tot 40 34 54 47.28 5.392 Valid N (listwise) 40

Regression




1 AbsPP_PEP, Zscore(PP_tot), Zscore(PEP_tot)a

. Enter


Model Summary



Estimate

1 .653a .426 .378 1.963a. Predictors: (Constant), AbsPP_PEP, Zscore(PP_tot), Zscore(PEP_tot)

ANOVAb


Regression 103.009 3 34.336 8.908 .000a

Residual 138.766 36 3.855

1

Total 241.775 39

a. Predictors: (Constant), AbsPP_PEP, Zscore(PP_tot), Zscore(PEP_tot) b. Dependent Variable: KP_tot


Coefficients Standardized Coefficients Collinearity Statistics


(Constant) 14.887 .547 27.202 .000

Zscore(PP_tot) 1.197 .404 .481 2.966 .005 .606 1.649

Zscore(PEP_tot) .964 .484 .387 1.990 .054 .421 2.374

1

AbsPP_PEP 1.102 .722 .263 1.526 .136 .538 1.860a. Dependent Variable: KP_tot

Coefficient Correlationsa Model AbsPP_PEP Zscore(PP_tot) Zscore(PEP_tot)

AbsPP_PEP 1.000 .082 .557

Zscore(PP_tot) .082 1.000 -.471

Correlations

Zscore(PEP_tot) .557 -.471 1.000

AbsPP_PEP .522 .024 .195

Zscore(PP_tot) .024 .163 -.092

1

Covariances

Zscore(PEP_tot) .195 -.092 .235a. Dependent Variable: KP_tot

Collinearity Diagnosticsa

Variance Proportions Model

Dimension Eigenvalue

Condition Index (Constant) Zscore(PP_tot) Zscore(PEP_tot) AbsPP_PEP

1 2.113 1.000 .02 .06 .05 .04

2 1.356 1.249 .11 .11 .06 .02

3 .395 2.313 .04 .83 .41 .02

1

4 .136 3.943 .83 .00 .48 .92a. Dependent Variable: KP_tot Uji Heteroskedastisitas

Regression




1 moderat3, PEP_tota . Enter


Model Summary



Estimate

1 .413a .170 .125 1.86982a. Predictors: (Constant), moderat3, PEP_tot

ANOVAb


Regression 26.557 2 13.278 3.798 .032a

Residual 129.361 37 3.496

1

Total 155.918 39

a. Predictors: (Constant), moderat3, PEP_tot b. Dependent Variable: Ln4

Coefficientsa



(Constant) 9.542 4.079 2.339 .025

PEP_tot -.167 .061 -.449 -2.729 .097

1

moderat3 -.055 .070 -.129 -.782 .439a. Dependent Variable: Ln4




1 PP_tot .a . . . .000 a. Predictors in the Model: (Constant), moderat3, PEP_tot b. Dependent Variable: Ln4

Uji Autokorelasi

Regression




1 moderat3, PEP_tota . Enter


Model Summaryb




1 .624a .389 .356 1.998 2.092 a. Predictors: (Constant), moderat3, PEP_tot b. Dependent Variable: KP_tot

ANOVAb


Regression 94.032 2 47.016 11.775 .000a

Residual 147.743 37 3.993

1

Total 241.775 39

a. Predictors: (Constant), moderat3, PEP_tot b. Dependent Variable: KP_tot

Coefficientsa



(Constant) -4.844 4.359 -1.111 .274

PEP_tot .311 .065 .674 4.769 .000

1





1 PP_tot .a . . . .000 a. Predictors in the Model: (Constant), moderat3, PEP_tot b. Dependent Variable: KP_tot



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