BAB IV. ANALISIS DAN PEMBAHASAN
4.3 Implikasi Manajerial
Setelah hasil regresi didapatkan, muncul beberapa fakta yang dapat dijelaskan.
Persamaan regresi yang pertama melihat hubungan antara atribut produk dan kualitas pelayanan (service performance) terhadap kepuasan konsumen. Hasil dari persamaan regresi tersebut adalah terdapatnya pengaruh yang signifikan dari atribut produk dan kualitas pelayanan (service performance) terhadap kepuasan konsumen dan kualitas pelayanan (service performance) memiliki pengaruh yang paling dominan. Jika dilihat dari hal ini maka Abuba Steak harus terus meningkatkan kualitas dari pelayanannya agar kepuasan konsumen tetap terjaga sehingga akan senang untuk datang ke Abuba Steak. Peningkatan kualitas pelayanan bisa dilakukan dengan banyak cara, salah satunya adalah dengan mengedukasi para karyawan agar dapat melayani konsumen dengan baik, sopan, dan sesuai dengan kebutuhan konsumen yang bersangkutan.
Atribut produk memiliki pengaruh yang lebih kecil dibandingkan dengan kualitas pelayanan. Atribut produk dalam penelitian ini adalah segala hal yang berhubungan dengan produk Abuba Steak yaitu makanan. Walaupun pengaruhnya lebih kecil, namun atribut produk ini sangat penting untuk diperhatikan karena inti dari suatu usaha restoran adalah makanannya. Jika kualitas pelayanannya baik tapi makanannya buruk maka konsumen pun akan kecewa dan tidak puas. Abuba Steak tetap harus menjaga kualitas dari makanannya baik dari rasa maupun kuantitasnya agar konsumen menjadi puas.
Persamaan regresi yang kedua menggambarkan hubungan antara kepuasan konsumen dan loyalitas merek. Hasil dari persamaan regresi kedua adalah bahwa
kepuasan konsumen berpengaruh secara signifikan terhadap loyalitas merek.
Loyalitas merupakan kelanjutan dari kepuasan dan dalam penelitian ini terbukti bahwa kepuasan berpengaruh terhadap loyalitas. Pada penelitian ini loyalitas diukur melalui enam indikator yaitu intensitas kunjungan, kenyamanan, makanan, suasana, rekomendasi, dan kunjungan kembali. Beberapa indikator akhirnya harus dibuang karena tidak melewati uji validitas sehingga yang tersisa untuk kemudian diregresi hanya tinggal intensitas kunjungan, makanan, rekomendasi, dan kunjungan kembali. Setelah konsumen puas maka diharapkan konsumen tersebut menjadi loyal sehingga akan meningkatkan intensitas kunjungannya, akan makan lagi di Abuba Steak, dan yang paling penting adalah merekomendasikan Abuba Steak kepada orang lain. Rekomendasi kepada orang lain menjadi penting karena dapat meningkatkan konsumen dari Abuba Steak tanpa mengeluarkan biaya untuk promosi dan dalam pemasaran, promosi melalui mulut ke mulut sangat ampuh.
Persamaan regresi yang ketiga menggambarkan hubungan antara atribut produk dan kualitas pelayanan (service performance) terhadap loyalitas merek.
Hasil dari persamaan regresi tersebut adalah atribut produk dan kualitas pelayanan (service performance) berpengaruh secara signifikan terhadap loyalitas merek.
Ternyata pada penelitian ini ditemukan bahwa atribut produk dan kualitas pelayanan (service performance) memiliki pengaruh langsung terhadap loyalitas merek tanpa melalui kepuasan. Pada persamaan regresi ini, kualitas pelayanan (service performance) sekali lagi memiliki pengaruh yang lebih dominan daripada atribut produk. Berdasarkan besar koefisien determinasinya (Adjusted R2), atribut
produk dan kualitas pelayanan lebih dapat menggambarkan loyalitas merek daripada kepuasan konsumen, yaitu sebesar 71,6% berbanding dengan 62,2%.
Temuan lainnya adalah pada saat uji validitas variabel kualitas pelayanan (service performance) terdapat satu pertanyaan pada dimensi tangible yang mengukur terbalik di antara yang lainnya. Pertanyaannya adalah tentang kebersihan alat makan di Abuba Steak. Ternyata beberapa responden memberikan nilai kecil untuk pertanyaaan ini yang hasilnya dapat dilihat berdasarkan Tabel 4.25 bahwa nilai rata-rata untuk indikator ini paling rendah di antara yang lainnya dan ini berarti alat makan pada Abuba Steak kurang bersih. Hal ini perlu diperhatikan Abuba Steak agar konsumen tetap mau makan di sana. Hal sekecil ini pun harus diperhatikan demi kemajuan Abuba Steak di masa yang akan datang dan menghindari adanya keluhan dari konsumen mengenai Abuba Steak.
BAB V
Kesimpulan dan Saran
5.1. Kesimpulan
Berdasarkan hasil analisis dan pembahasan mengenai pengaruh atribut produk dan kualitas pelayanan terhadap kepuasan konsumen dan loyalitas merek, dapat diambil beberapa kesimpulan sebagai berikut:
1. Atribut produk memiliki pengaruh yang signifikan terhadap kepuasan konsumen pada Abuba Steak.
2. Kualitas pelayanan (service performance) memiliki pengaruh yang signifikan terhadap kepuasan konsumen pada Abuba Steak.
3. Kepuasan konsumen memiliki pengaruh yang signifikan terhadap loyalitas merek pada Abuba Steak.
4. Atribut produk memiliki pengaruh yang signifikan terhadap loyalitas merek pada Abuba Steak.
5. Kualitas pelayanan (service performance) memiliki pengaruh yang signifikan terhadap loyalitas merek pada Abuba Steak.
5.2. Saran
Berdasarkan hasil analisis, berikut beberapa saran yang dapat diberikan:
1. Abuba Steak tetap mempertahankan kualitas pelayanannya yang sampai saat ini sudah dinilai baik oleh konsumen agar kepuasan konsumen tetap terjaga dan loyalitas pun meningkat.
2. Abuba Steak juga perlu memperhatikan kualitas dari makanan yang disajikan agar konsumen mau berkunjung kembali. Kualitas makanan di sini meliputi rasanya, aromanya, tingkat kematangan dagingnya, saus yang digunakan, dan lain-lain. Kunci dari usaha restoran adalah kualitas dan rasa makanannya, jadi jangan sampai terjadi penurunan kualitas yang akan mengecewakan konsumen.
3. Abuba Steak diharapkan juga sangat memperhatikan kebersihan alat makan yang disediakan bagi konsumen. Hal ini kami sampaikan, mengingat adanya keluhan mengenai kebersihan alat-alat makan yang disampaikan oleh konsumen.
DAFTAR PUSTAKA
Anna, Christine. 2008. Analisis Pengaruh Kualitas Pelayanan Terhadap Loyalitas Konsumen Pada PT Gramedia Cabang Plaza Semanggi. Skripsi Sarjana Ekonomi Fakultas Ekonomi Universitas Katolik Indonesia Atmajaya, Jakarta.
Ariastuti, Ni Gusti Agung Ayu dan Made Antara. 2005. Faktor-faktor Yang Menentukan Loyalitas PelangganTerhadap Merek The Botol Sosro Di Kota Denpasar.
Christina, Maria Ayuk. 2006. Pengaruh Dimensi Kualitas Jasa Layanan Simpanan Terhadap Kepuasan Nasabah BRI Kantor Cabang Pattimura Semarang. Skripsi Sarjana Ekonomi Fakultas Ilmu Sosial Universitas Negeri Semarang.
Cronin, J. Joseph Jr., and Steven A. Taylor, 1992. Measuring Service Quality: A Reexamination and Extention. Journal of Marketing Vol.56, July 1992.
Dewi, Putu Matalia Wirmaya. 2006. Analisis Kepuasan Konsumen Pada Atribut Produk Sosro Green-T (Studi Kasus Di Lokasi: Cinere Dan Kebon Sirih).
Skripsi Sarjana Ekonomi Fakultas Ekonomi Universitas Katolik Indonesia Atmajaya, Jakarta.
Dharmayanti, Diah. 2006. Analisis Dampak Service Performance dan Kepuasan Sebagai Moderating Variabel Terhadap Loyalitas Nasabah (Studi pada Nasabah Tabungan Bank Mandiri Cabang Surabaya). Jurnal Manajemen Pemasaran, Vol. 1, No. 1, April 2006.
Ghozali, Imam. 2001. Aplikasi Analisis Multivariate dengan Program SPSS.
Semarang : Badan Penerbit Universitas Diponegoro
Gujarati, D. 2003. “Basic Econometric”. New York: McGraw-Hill.
Krisna, N. L. Teori-Teori Pemasaran [Online] tersedia http://marketing- teori.blogspot.com/2007/04/loyalitas-pelanggan.html
Kotler Philip, 2000. Marketing Management: Analysis, Planning, Implementation and Control. Prentice Hall Int, Inc., Millenium Edition, Englewood Cliffs, New Jersey.
Malhotra, N.K, (2007), Marketing Research. 5th ed. Pearson Education, New Jersey.
Munawaroh, Munjiati. 2005. Analisis Pengaruh Kualitas Jasa Terhadap Kepuasan Pada Industri Pendidikan Di Yogyakarta. Edisi Khusus Jurnal Siasat Bisnis On Marketing Hal.: 119 – 134, Yogyakarta.
Puspita, Bayu (2007), Analisis Pengaruh Atribut Produk Terhadap Keputusan Pembelian Kebab Turki Baba Rafi Di Yogyakarta, Skripsi Manajemen Pemasaran Sarjana Ekonomi Universitas Islam Indonesia, Yogyakarta.
Samuel, Hatane dan Foedjiawati. 2005. Pengaruh Kepuasan Konsumen Terhadap Kesetian Merek (Studi Kasus Restoran The Prime Steak & Ribs Surabaya).
Jurnal Manajemen dan Kewirausahaan, Vol. 7, No. 1, Maret 2005.
Sonny. 2005. Pengaruh Atribut-Atribut Produk Terhadap Kepuasan Konsumen Sepeda Motor Yamaha Mio (Suatu Survey Para Konsumen Dealer Yamaha Laksana Kencana Gemilang Di Jakarta Selatan. Tesis Program Pasca Sarjana Universitas Katolik Indonesia Atmajaya, Jakarta.
Sujianto, Agus Eko. 2009. Aplikasi Statistik dengan SPSS 16.0. Prestasi Pustaka, Jakarta.
Widyaratna, Theresia, Danny dan Filicia Chandra. 2001. Analisis Kepuasan dan Loyalitas Konsumen Terhadap Tingkat Penjualan di Warung Bu Kris (Studi Kasus Pada Ayam Penyet Sebagai Menu Unggulan Warung Bu Kris). Jurnal Manajemen & Kewirausahaan Vol. 3, No. 2.
http://abubasteak.blogspot.com/2009/06/sejarah-abuba-steak.html http://www.ayojajan.com/formkomentartempat.php?idtempat=233 http://pumpkinbear.multiply.com/reviews/item/29
http://www.sendokgarpu.com/dining/comment/496&pstart=5
LAMPIRAN 1: UJI RELIABILITAS DAN VALIDITAS
1. UJI VALIDITAS DAN RELIABILITAS PRETEST VARIABEL ATRIBUT PRODUK
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .596 Bartlett's Test of Sphericity Approx. Chi-Square 23.145
df 10
Sig. .010
Anti-image Matrices
atr1 atr2 atr3 atr4 atr5
Anti-image Covariance atr1 .574 -.300 -.235 .077 -.151
atr2 -.300 .631 -.034 -.205 .078
atr3 -.235 -.034 .794 -.046 .001
atr4 .077 -.205 -.046 .807 -.267
atr5 -.151 .078 .001 -.267 .842
Anti-image Correlation atr1 .580a -.498 -.348 .113 -.217
atr2 -.498 .596a -.048 -.287 .107
atr3 -.348 -.048 .718a -.057 .001
atr4 .113 -.287 -.057 .546a -.324
atr5 -.217 .107 .001 -.324 .550a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
atr1 1.000 .639
atr2 1.000 .576
atr3 1.000 .401
atr4 1.000 .281
atr5 1.000 .231
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.128 42.555 42.555 2.128 42.555 42.555
2 1.092 21.834 64.389
3 .768 15.368 79.757
4 .655 13.101 92.858
5 .357 7.142 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
atr1 .799
atr2 .759
atr3 .634
atr4 .530
atr5 .481
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.646 5
2. UJI VALIDITAS DAN RELIABILITAS VARIABEL ATRIBUT PRODUK
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .822 Bartlett's Test of Sphericity Approx. Chi-Square 257.503
df 10
Sig. .000
Anti-image Matrices
atr1 atr2 atr3 atr4 atr5
Anti-image Covariance atr1 .239 -.161 -.152 -.071 -.073
atr2 -.161 .448 -.023 -.045 .067
atr3 -.152 -.023 .328 -.077 -.075
atr4 -.071 -.045 -.077 .583 -.087
atr5 -.073 .067 -.075 -.087 .729
Anti-image Correlation atr1 .747a -.493 -.545 -.189 -.176
atr2 -.493 .824a -.059 -.088 .117
atr3 -.545 -.059 .819a -.175 -.154
atr4 -.189 -.088 -.175 .925a -.134
atr5 -.176 .117 -.154 -.134 .890a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
atr1 1.000 .848
atr2 1.000 .634
atr3 1.000 .780
atr4 1.000 .595
atr5 1.000 .388
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 3.245 64.907 64.907 3.245 64.907 64.907
2 .740 14.803 79.710
3 .503 10.052 89.762
4 .346 6.915 96.676
5 .166 3.324 100.000
Component Matrixa
Component 1
atr1 .921
atr2 .796
atr3 .883
atr4 .772
atr5 .623
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Excludeda 0 .0
Total 100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.860 5
3. UJI VALIDITAS DAN RELIABILITAS PRETEST INDIKATOR ASSURANCE
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .508 Bartlett's Test of Sphericity Approx. Chi-Square 5.306
df 6
Sig. .505
Anti-image Matrices
assur14 assur15 assur16 assur17 Anti-image Covariance assur14 .938 -.193 -.080 .051
assur15 -.193 .911 -.171 .062
assur16 -.080 -.171 .868 -.266
assur17 .051 .062 -.266 .909
Anti-image Correlation assur14 .558a -.209 -.089 .055
assur15 -.209 .526a -.192 .069
assur16 -.089 -.192 .504a -.300
assur17 .055 .069 -.300 .461a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
assur14 1.000 .272
assur15 1.000 .394
assur16 1.000 .561
assur17 1.000 .193
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.420 35.498 35.498 1.420 35.498 35.498
2 1.165 29.130 64.628
3 .774 19.362 83.990
4 .640 16.010 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
assur14 .522
assur15 .627
assur16 .749
assur17 .439
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.362 4
4. UJI VALIDITAS INDIKATOR ASSURANCE Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .464 Bartlett's Test of Sphericity Approx. Chi-Square 20.707
df 6
Sig. .002
Anti-image Matrices
assur14 assur15 assur16 assur17 Anti-image Covariance assur14 .916 -.086 .199 -.201
assur15 -.086 .929 -.198 -.065
assur16 .199 -.198 .856 -.222
assur17 -.201 -.065 -.222 .887
Anti-image Correlation assur14 .367a -.093 .224 -.223
assur15 -.093 .563a -.222 -.071
assur16 .224 -.222 .455a -.255
assur17 -.223 -.071 -.255 .487a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
assur14 1.000 .024
assur15 1.000 .427
assur16 1.000 .491
assur17 1.000 .481
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.423 35.576 35.576 1.423 35.576 35.576
2 1.145 28.635 64.211
3 .846 21.148 85.360
4 .586 14.640 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
assur14 .155
assur15 .653
assur16 .701
assur17 .694
Extraction Method:
Principal Component Analysis.
5. UJI VALIDITAS DAN RELIABILITAS INDIKATOR ASSURANCE SETELAH DROP
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .578 Bartlett's Test of Sphericity Approx. Chi-Square 12.204
df 3
Sig. .007
Anti-image Matrices
assur15 assur16 assur17 Anti-image Covariance assur15 .937 -.190 -.089
assur16 -.190 .901 -.198
assur17 -.089 -.198 .933
Anti-image Correlation assur15 .595a -.207 -.095
assur16 -.207 .559a -.216
assur17 -.095 -.216 .589a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
assur15 1.000 .423
assur16 1.000 .558
assur17 1.000 .436
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.417 47.245 47.245 1.417 47.245 47.245
2 .854 28.468 75.712
3 .729 24.288 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
assur15 .650
assur16 .747
assur17 .661
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Excludeda 0 .0
Total 100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.440 3
6. UJI VALIDITAS DAN RELIABILITAS PRETEST INDIKATOR EMPHATY
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .526 Bartlett's Test of Sphericity Approx. Chi-Square 54.855
df 10
Sig. .000
Anti-image Matrices
emp18 emp19 emp20 emp21 emp22
Anti-image Covariance emp18 .751 -.211 -.187 -.089 .052
emp19 -.211 .823 -.028 .044 -.090
emp20 -.187 -.028 .822 -.108 .115
emp21 -.089 .044 -.108 .193 -.171
emp22 .052 -.090 .115 -.171 .196
Anti-image Correlation emp18 .638a -.268 -.239 -.234 .136
emp19 -.268 .677a -.035 .109 -.225
emp20 -.239 -.035 .376a -.272 .287
emp21 -.234 .109 -.272 .515a -.880
emp22 .136 -.225 .287 -.880 .498a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
emp18 1.000 .341
emp19 1.000 .327
emp20 1.000 .068
emp21 1.000 .801
emp22 1.000 .731
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.268 45.365 45.365 2.268 45.365 45.365
2 1.209 24.184 69.549
3 .835 16.703 86.252
4 .586 11.721 97.973
5 .101 2.027 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
emp18 .584
emp19 .572
emp20 .260
emp21 .895
emp22 .855
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 31 100.0
Excludeda 0 .0
Total 31 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.629 5
7. UJI VALIDITAS INDIKATOR EMPHATY Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .583 Bartlett's Test of Sphericity Approx. Chi-Square 92.262
df 10
Sig. .000
Anti-image Matrices
emp18 emp19 emp20 emp21 emp22
Anti-image Covariance emp18 .927 -.060 .087 .028 -.119
emp19 -.060 .859 .020 .039 -.178
emp20 .087 .020 .949 -.049 -.066
emp21 .028 .039 -.049 .496 -.313
emp22 -.119 -.178 -.066 -.313 .435
Anti-image Correlation emp18 .670a -.067 .093 .042 -.187
emp19 -.067 .687a .022 .059 -.291
emp20 .093 .022 .753a -.071 -.103
emp21 .042 .059 -.071 .563a -.674
emp22 -.187 -.291 -.103 -.674 .554a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
emp18 1.000 .144
emp19 1.000 .305
emp20 1.000 .101
emp21 1.000 .685
emp22 1.000 .808
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.043 40.858 40.858 2.043 40.858 40.858
2 1.078 21.556 62.414
3 .826 16.514 78.927
4 .784 15.678 94.606
5 .270 5.394 100.000
Component Matrixa
Component 1
emp18 .379
emp19 .552
emp20 .317
emp21 .828
emp22 .899
Extraction Method:
Principal Component Analysis.
8. UJI VALIDITAS DAN RELIABILITAS INDIKATOR EMPHATY SETELAH DROP
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .541 Bartlett's Test of Sphericity Approx. Chi-Square 81.249
df 3
Sig. .000
Anti-image Matrices
emp19 emp21 emp22
Anti-image Covariance emp19 .863 .043 -.193
emp21 .043 .500 -.329
emp22 -.193 -.329 .454
Anti-image Correlation emp19 .644a .065 -.308
emp21 .065 .531a -.690
emp22 -.308 -.690 .525a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
emp19 1.000 .332
emp21 1.000 .733
emp22 1.000 .829
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.895 63.160 63.160 1.895 63.160 63.160
2 .829 27.649 90.809
3 .276 9.191 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
emp19 .577
emp21 .856
emp22 .910
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Excludeda 0 .0
Total 100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.704 3
9. UJI VALIDITAS DAN RELIABILITAS PRETEST INDIKATOR RESPONSIVENESS
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .643 Bartlett's Test of Sphericity Approx. Chi-Square 26.154
df 6
Sig. .000
Anti-image Matrices
res10 res11 res12 res13
Anti-image Covariance res10 .506 -.082 -.323 -.077
res11 -.082 .765 -.101 -.240
res12 -.323 -.101 .515 .006
res13 -.077 -.240 .006 .848
Anti-image Correlation res10 .609a -.132 -.633 -.117
res11 -.132 .754a -.160 -.298
res12 -.633 -.160 .602a .009
res13 -.117 -.298 .009 .704a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
res10 1.000 .693
res11 1.000 .490
res12 1.000 .664
res13 1.000 .307
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 2.155 53.880 53.880 2.155 53.880 53.880
2 .927 23.183 77.064
3 .606 15.146 92.210
4 .312 7.790 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
res10 .833
res11 .700
res12 .815
res13 .555
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.708 4
10. UJI VALIDITAS INDIKATOR RESPONSIVENESS Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .447 Bartlett's Test of Sphericity Approx. Chi-Square 65.205
df 6
Sig. .000
Anti-image Matrices
res10 res11 res12 res13
Anti-image Covariance res10 .531 -.336 -.317 .030
res11 -.336 .685 .171 -.047
res12 -.317 .171 .704 -.144
res13 .030 -.047 -.144 .963
Anti-image Correlation res10 .465a -.558 -.519 .042
res11 -.558 .427a .246 -.058
res12 -.519 .246 .426a -.175
res13 .042 -.058 -.175 .540a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
res10 1.000 .791
res11 1.000 .452
res12 1.000 .453
res13 1.000 .085
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.781 44.530 44.530 1.781 44.530 44.530
2 1.045 26.136 70.666
3 .852 21.297 91.963
4 .321 8.037 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
res10 .889
res11 .673
res12 .673
res13 .291
Extraction Method:
Principal Component Analysis.
11. UJI VALIDITAS DAN RELIABILITAS INDIKATOR RESPONSIVENESS SETELAH DROP
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .442 Bartlett's Test of Sphericity Approx. Chi-Square 61.793
df 3
Sig. .000
Anti-image Matrices
res10 res11 res12 Anti-image Covariance res10 .532 -.336 -.323
res11 -.336 .687 .170
res12 -.323 .170 .726
Anti-image Correlation res10 .463a -.557 -.520
res11 -.557 .429a .240
res12 -.520 .240 .417a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
res10 1.000 .829
res11 1.000 .489
res12 1.000 .425
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.743 58.094 58.094 1.743 58.094 58.094
2 .931 31.028 89.122
3 .326 10.878 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
res10 .910
res11 .699
res12 .652
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Excludeda 0 .0
Total 100 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.632 3
12. UJI VALIDITAS DAN RELIABILITAS PRETEST INDIKATOR TANGIBLE
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .515 Bartlett's Test of Sphericity Approx. Chi-Square 19.851
df 6
Sig. .003
Anti-image Matrices
tan1 tan2 tan3 tan4
Anti-image Covariance tan1 .688 -.343 .048 .090
tan2 -.343 .597 -.239 .009
tan3 .048 -.239 .695 -.303
tan4 .090 .009 -.303 .809
Anti-image Correlation tan1 .503a -.536 .070 .121
tan2 -.536 .516a -.371 .014
tan3 .070 -.371 .526a -.404
tan4 .121 .014 -.404 .513a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
tan1 1.000 .399
tan2 1.000 .705
tan3 1.000 .521
tan4 1.000 .159
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.784 44.589 44.589 1.784 44.589 44.589
2 1.290 32.248 76.837
3 .548 13.702 90.539
4 .378 9.461 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
tan1 .632
tan2 .840
tan3 .722
tan4 .399
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.555 4
13. UJI VALIDITAS INDIKATOR TANGIBLE
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .507 Bartlett's Test of Sphericity Approx. Chi-Square 25.316
df 6
Sig. .000
Anti-image Matrices
tan1 tan2 tan3 tan4
Anti-image Covariance tan1 .844 -.311 .034 -.078
tan2 -.311 .781 -.238 .048
tan3 .034 -.238 .912 .045
tan4 -.078 .048 .045 .988
Anti-image Correlation tan1 .503a -.383 .039 -.086
tan2 -.383 .505a -.282 .054
tan3 .039 -.282 .529a .048
tan4 -.086 .054 .048 .433a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
tan1 1.000 .485
tan2 1.000 .704
tan3 1.000 .328
tan4 1.000 .002
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.519 37.981 37.981 1.519 37.981 37.981
2 1.060 26.497 64.478
3 .873 21.835 86.313
4 .547 13.687 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
tan1 .696
tan2 .839
tan3 .573
tan4 -.044
Extraction Method:
Principal Component Analysis.
14. UJI VALIDITAS DAN RELIABILITAS INDIKATOR TANGIBLE SETELAH DROP
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .510 Bartlett's Test of Sphericity Approx. Chi-Square 24.274
df 3
Sig. .000
Anti-image Matrices
tan1 tan2 tan3
Anti-image Covariance tan1 .851 -.310 .038
tan2 -.310 .783 -.241
tan3 .038 -.241 .914
Anti-image Correlation tan1 .511a -.380 .043
tan2 -.380 .507a -.285
tan3 .043 -.285 .519a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
tan1 1.000 .492
tan2 1.000 .703
tan3 1.000 .323
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.519 50.620 50.620 1.519 50.620 50.620
2 .930 30.988 81.608
3 .552 18.392 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
tan1 .702
tan2 .838
tan3 .569
Extraction Method:
Principal Component Analysis.
15. UJI VALIDITAS DAN RELIABILITAS PRETEST INDIKATOR RELIABILITY
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .457 Bartlett's Test of Sphericity Approx. Chi-Square 25.866
df 10
Sig. .004
Anti-image Matrices
rel5 rel6 rel7 rel8 rel9
Anti-image Covariance rel5 .622 .141 -.010 -.332 -.081
rel6 .141 .654 -.325 -.236 .198
rel7 -.010 -.325 .739 .065 -.225
rel8 -.332 -.236 .065 .559 -.144
rel9 -.081 .198 -.225 -.144 .795
Anti-image Correlation rel5 .519a .220 -.015 -.562 -.115
rel6 .220 .359a -.468 -.391 .275
rel7 -.015 -.468 .433a .101 -.294
rel8 -.562 -.391 .101 .479a -.216
rel9 -.115 .275 -.294 -.216 .496a
a. Measures of Sampling Adequacy(MSA)
Communalities
Initial Extraction
rel5 1.000 .523
rel6 1.000 .129
rel7 1.000 .182
rel8 1.000 .693
rel9 1.000 .332
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo nent
Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative %
1 1.858 37.168 37.168 1.858 37.168 37.168
2 1.405 28.102 65.269
3 .924 18.488 83.757
4 .500 9.997 93.754
5 .312 6.246 100.000
Extraction Method: Principal Component Analysis.
Component Matrixa
Component 1
rel5 .723
rel6 .359
rel7 .427
rel8 .832
rel9 .576
Extraction Method:
Principal Component Analysis.
Reliability
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 30 100.0
Excludeda 0 .0
Total 30 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.553 5
16. UJI VALIDITAS DAN RELIABILITAS INDIKATOR RELIABILITY
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .698 Bartlett's Test of Sphericity Approx. Chi-Square 104.437
df 10
Sig. .000
Anti-image Matrices
rel5 rel6 rel7 rel8 rel9
Anti-image Covariance rel5 .574 -.253 .002 -.252 -.108
rel6 -.253 .614 -.186 -.020 -.056
rel7 .002 -.186 .716 -.113 -.232
rel8 -.252 -.020 -.113 .751 .092
rel9 -.108 -.056 -.232 .092 .802
Anti-image Correlation rel5 .669a -.427 .002 -.383 -.159
rel6 -.427 .718a -.280 -.029 -.080
rel7 .002 -.280 .724a -.154 -.307
rel8 -.383 -.029 -.154 .682a .118
rel9 -.159 -.080 -.307 .118 .703a
a. Measures of Sampling Adequacy(MSA)