KUESIONER ANALISIS PENGARUH DIFERENSIASI DAN PROMOSI PRODUK SEPATU MACBETH TERHADAP LOYALITAS KONSUMEN DI UNIVERSITAS LAMPUNG

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1 LAMPIRAN 1. KUESIONER KUESIONER ANALISIS PENGARUH DIFERENSIASI DAN PROMOSI PRODUK SEPATU MACBETH TERHADAP LOYALITAS KONSUMEN DI UNIVERSITAS LAMPUNG a. Petunjuk Pengisian Responden yang terhormat, Pertanyaan yang ada di kuesioner ini bertujuan untuk melengkapi data penelitian dalam rangka penyusunan skripsi sebagai prasyarat meraih gelar Sarjana Administrasi Bisnis. Oleh karena itu kepada responden, saya sebagai penulis mengharapkan: 1. Saudara dapat menjawab setiap pertanyaan dan pernyataan dengan sejujurjujurnya dan perlu diketahui bahwa jawaban dari kuisioner ini tidak berhubungan dengan benar atau salah. 2. Pilihlah jawaban dengan memberikan tanda check ( ) pada salah satu jawaban yang paling sesuai menurut saudara. Penilaian dapat dilakukan sebagai berikut: Sangat Setuju (SS) Setuju (S) Ragu-ragu (RG) Tidak Setuju (TS) Sangat Tidak Setuju (STS) b. Identitas Responden 1. Nama :...(Boleh tidak diisi) 2. Jenis Kelamin : ( ). Laki-Laki ( ). Perempuan 3. Usia : ( ) tahun ( ) tahun 4. Jurusan : ( ) Ilmu Komunikasi : ( ) Ilmu Administrasi Bisnis : ( ) Ilmu Pemerintahan : ( ) Ilmu Administarsi Negara : ( ) Ilmu Sosiologi : ( ) Diploma Humas : ( ) Diploma APS/Sekertari : ( ) Diploma Perpustakaan 5. Sudah Beli Sepatu Macbeth Berapa Kali : ( ) 1 kali ( ) 3 kali ( ) 2 kali ( ) lebih dari 3 kali 6. Sejak Tahun Berapa Mengenal Sepatu Macbeth : ( ) 2007 ( ) 2008 ( ) 2009 ( ) 2010

2 1. Diferensiasi No Pertanyaan STS TS R S SS Produk 1. Produk sepatu Macbeth cukup bersaing dengan produk sepatu lain. 2. Produk sepatu Macbeth mempunyai desain yang bervariasi yang membedakan dari produk lain. 3. Produk sepatu Macbeth memiliki gaya yang unik sesuai dengan trend masa kini. Kualitas Pelayanan 4. Saya senang menerima hadiah gratis berupa sticker setelah membeli produk sepatu Macbeth. 5. Saya senang membeli produk sepatu Macbeth yang kini terdapat program pre order serta program delivery. Citra 6. Saya merasa bangga menggunakan produk sepatu Macbeth. 7. Saya percaya diri menggunakan produk sepatu Macbeth. 2. Promosi Periklanan No Pertanyaan STS TS R S SS Daya Tarik 1. Iklan yang ditampilkan produk sepatu Macbeth menarik. 2. Iklan yang ditampilkan produk sepatu Macbeth memberikan kesan positif yang menarik. 3. Saya tertarik menunggu iklan-iklan terbaru produk sepatu Macbeth. Perhatian dan Minat 4. Iklan produk sepatu Macbeth yang diulang-ulang menarik perhatian saya. 5. Iklan produk sepatu Macbeth membuat saya semakin berminat terhadap produk yang dipasarkan.

3 Keyakinan Terhadap Produk 6. Saya yakin dalam memilih produkproduk sepatu Macbeth. 7. Saya yakin dengan menggunakan produk sepatu Macbeth membuat saya lebih percaya diri. 3. Loyalitas No Pertanyaan STS TS R S SS Melakukan Pembelian Ulang 1. Saya tertarik melakukan pembelian ulang terhadap produk sepatu Macbeth. 2. Saya tertarik membeli kembali produk terbaru yang dipasarkan produk sepatu Macbeth dengan selalu membeli produk baru Macbeth. Membeli diluar Lini Produk 3. Saya membeli produk Macbeth di luar sepatu Macbeth (mis : kaos Macbeth, topi Macbeth, dll). 4. Saya merasa puas dengan produk yang dikeluarkan oleh Macbeth selain produk sepatunya (mis: tas Macbeth, aksesoris Macbeth, dll). Merekomendasikan Produk Kepada Orang Lain 5. Saya bangga merekomendasikan produk sepatu Macbeth kepada orang lain. 6. Saya bangga menceritakan hal-hal positif tentang produk sepatu Macbeth kepada orang lain.

4 LAMPIRAN 2. NONPARAMETRIC CORRELATIONS VALIDITAS (X1) item1 item2 item3 item4 Correlations item1 item2 item3 item4 item5 item6 item7 total Pearson Correlation ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation **.320 *.752 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation *.545 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N

5 item5 item6 item7 total Pearson Correlation *.624 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation ** *.752 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation *.322 * *.320 * ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation.464 **.752 **.545 **.464 **.624 **.752 **.548 ** 1 Sig. (2-tailed) Sum of Squares and Cross-products Covariance N **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

6 LAMPIRAN 3. NONPARAMETRIC CORRELATIONS VALIDITAS (X2) item8 item9 item10 item11 item12 Correlations item8 item9 item10 item11 item12 item13 item14 item15 total Pearson Correlation ** **.610 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation * ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation.954 ** **.589 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation * * ** Sig. (2-tailed)

7 item13 item14 item15 total Sum of Squares and Cross-products Covariance N Pearson Correlation ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation ** * ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation.955 ** ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation.610 **.475 **.689 **.589 **.458 **.563 **.705 **.576 ** 1 Sig. (2-tailed) Sum of Squares and Cross-products Covariance N **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

8 LAMPIRAN 4. NONPARAMETRIC CORRELATIONS VALIDITAS (Y) Correlations (validitas y) item16 item17 item18 item19 item16 item17 item18 item19 item20 item21 total Pearson Correlation ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation **.510 ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation.979 ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation * ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N

9 item20 item21 total Pearson Correlation * ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation ** ** Sig. (2-tailed) Sum of Squares and Cross-products Covariance N Pearson Correlation.740 **.510 **.770 **.557 **.523 **.510 ** 1 Sig. (2-tailed) Sum of Squares and Cross-products Covariance N **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

10 LAMPIRAN 5. RELIABILITAS (X1) Notes Output Created 28-Feb :46:13 Comments Input Active Dataset DataSet0 Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 40 Matrix Input Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on all cases with valid data for all variables in the procedure. Syntax RELIABILITY /VARIABLES=item1 item2 item3 item4 item5 item6 item7 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA. Resources Processor Time 00:00: Elapsed Time 00:00: [DataSet0] Scale: ALL VARIABLES Case Processing Summary N % Cases Valid Excluded a 0.0 Total Reliability Statistics Cronbach's Alpha N of Items a. Listwise deletion based on all variables in the procedure.

11 LAMPIRAN 6. RELIABILITAS (X2) Notes Output Created 28-Feb :49:26 Comments Input Active Dataset DataSet0 Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 40 Matrix Input Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on all cases with valid data for all variables in the procedure. Syntax RELIABILITY /VARIABLES=item8 item9 item10 item11 item12 item13 item14 item15 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA. Resources Processor Time 00:00: Elapsed Time 00:00: [DataSet0] Scale: ALL VARIABLES Case Processing Summary N % Cases Valid Excluded a 0.0 Total Reliability Statistics Cronbach's Alpha N of Items a. Listwise deletion based on all variables in the procedure.

12 LAMPIRAN 6. RELIABILITAS (Y) Notes Output Created 28-Feb :52:02 Comments Input Active Dataset DataSet0 Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 40 Matrix Input Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on all cases with valid data for all variables in the procedure. Syntax RELIABILITY /VARIABLES=item16 item17 item18 item19 item20 item21 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA. Resources Processor Time 00:00: Elapsed Time 00:00: [DataSet0] Scale: ALL VARIABLES Case Processing Summary N % Cases Valid Excluded a 0.0 Total Reliability Statistics Cronbach's Alpha N of Items a. Listwise deletion based on all variables in the procedure.

13 LAMPIRAN 8. REGRESSION Notes Output Created 28-Feb :27:48 Comments Input Active Dataset DataSet0 Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 40 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI BCOV R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT loyallitas /METHOD=ENTER diferensasi promosi /SCATTERPLOT=(*SRESID,*ZPRED) /RESIDUALS DURBIN HIST(ZRESID) NORM(ZRESID) /CASEWISE PLOT(ZRESID) OUTLIERS(3). Resources Processor Time 00:00: Elapsed Time 00:00: Memory Required Additional Memory Required for Residual Plots 1636 bytes 904 bytes

14 [DataSet0] Descriptive Statistics Mean Std. Deviation N loyallitas diferensasi promosi Correlations loyallitas diferensasi promosi Pearson Correlation loyallitas diferensasi promosi Sig. (1-tailed) loyallitas diferensasi promosi N loyallitas diferensasi promosi Variables Entered/Removed b Variables Model Variables Entered Removed Method 1 promosi, diferensasi a. Enter a. All requested variables entered. b. Dependent Variable: loyallitas

15 Model Summary b Change Statistics Std. Error of the Model R R Square Adjusted R Square Estimate R Square Change F Change df1 df2 Sig. F Change Durbin-Watson a a. Predictors: (Constant), promosi, diferensasi b. Dependent Variable: loyallitas

16 ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression a Residual Total a. Predictors: (Constant), promosi, diferensasi b. Dependent Variable: loyallitas Unstandardized Coefficients Standardized Coefficients Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Constant) diferensasi promosi a. Dependent Variable: loyallitas Coefficient Correlations a Model promosi diferensasi 1 Correlations promosi diferensasi Covariances promosi diferensasi a. Dependent Variable: loyallitas Collinearity Diagnostics a Model Dimensi on Eigenvalue Condition Index Variance Proportions (Constant) diferensasi promosi a. Dependent Variable: loyallitas Casewise Diagnostics a Case Number Std. Residual loyallitas Predicted Value Residual a. Dependent Variable: loyallitas

17 Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Std. Predicted Value Standard Error of Predicted Value Adjusted Predicted Value Residual Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance Centered Leverage Value a. Dependent Variable: loyallitas

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19 Frequencies Notes Output Created 28-Feb :16:17 Comments Input Active Dataset DataSet0 Filter Weight Split File <none> <none> <none> N of Rows in Working Data File 40 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on all cases with valid data. Syntax FREQUENCIES VARIABLES=item1 item2 item3 item4 item5 item6 item7 item8 item9 item10 item11 item12 item13 item14 item15 item16 item17 item18 item19 item20 item21 /NTILES=4 /NTILES=10 /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE SUM SKEWNESS SESKEW KURTOSIS SEKURT /HISTOGRAM /ORDER=ANALYSIS. Resources Processor Time 00:00: Elapsed Time 00:00: [DataSet0]

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39 Frequency Table item1 Frequency Percent Valid Percent Cumulative Percent Valid Total item2 Frequency Percent Valid Percent Cumulative Percent Valid Total

40 item3 Frequency Percent Valid Percent Cumulative Percent Valid Total item4 Frequency Percent Valid Percent Cumulative Percent Valid Total item5 Frequency Percent Valid Percent Cumulative Percent Valid Total item6 Frequency Percent Valid Percent Cumulative Percent Valid Total

41 item7 Frequency Percent Valid Percent Cumulative Percent Valid Total item8 Frequency Percent Valid Percent Cumulative Percent Valid Total item9 Frequency Percent Valid Percent Cumulative Percent Valid Total item10 Frequency Percent Valid Percent Cumulative Percent Valid Total

42 item11 Frequency Percent Valid Percent Cumulative Percent Valid Total item12 Frequency Percent Valid Percent Cumulative Percent Valid Total item13 Frequency Percent Valid Percent Cumulative Percent Valid Total item14 Frequency Percent Valid Percent Cumulative Percent Valid Total

43 item15 Frequency Percent Valid Percent Cumulative Percent Valid Total item16 Frequency Percent Valid Percent Cumulative Percent Valid Total item17 Frequency Percent Valid Percent Cumulative Percent Valid Total item18 Frequency Percent Valid Percent Cumulative Percent Valid Total

44 item19 Frequency Percent Valid Percent Cumulative Percent Valid Total item20 Frequency Percent Valid Percent Cumulative Percent Valid Total

45 LAMPIRAN 10. UJI F Titik Persentase Distribusi F (df = 41 80) Pr df

46 LAMPIRAN 12. GAMBAR-GAMBAR SEPATU MACBETH GAMBAR 1. MACBETH HENSLEY GAMBAR 2. MACBETH PENDLETON GAMBAR 3. MACBETH MANCHESTER

47 GAMBAR 4. MACBERT SCHUBERT GAMBAR 5. MACBETH BRIGHTON GAMBAR 6. MACBETH MCQUEEN

48 GAMBAR 7. MACBETH CAULFIELD GAMBAR 8. MACBETH ELLIOT

49 Statistics item1 item2 item3 item4 item5 item6 item7 item8 item9 item10 item11 item12 item13 item14 item15 item16 item17 item18 item19 item20 Valid N Missin g Mean Std. Error of Mean Median Mode Std. Deviation Variance Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Range Minimum Maximum Sum Perce

50 ntiles