Analysis of The Influence of Product Differentiation and Advertisement Promotion on Consumer Loyalty Macbeth Shoes in Lampung University (Study on Students of FISIP)

(1)

(2)

Abstrak

Analisis Pengaruh Diferensiasi dan Promosi Iklan Produk Sepatu Macbeth

Terhadap Loyalitas Konsumen di Universitas Lampung (Studi Pada

Mahasiswa Fakultas Ilmu Sosial dan Ilmu Politik)

Tujuan penelitian ini adalah untuk mengetahui dan mendeskripsikan pengaruh

diferensiasi dan promosi Iklan produk sepatu Macbeth terhadap loyalitas

konsumen. Tipe penelitian yang digunakan adalah penelitian yang bersifat

explanatory research

. Populasi pada penelitian ini adalah mahasiswa Fakultas

Ilmu Sosisal dan Ilmu Politik Universitas Lampung yang menggunakan produk

sepatu Macbeth dengan sampel empat puluh orang responden. Teknik

pengumpulan data menggunakan kuesioner dengan skala

Likert.

Hasil perhitungan hipotesis melalui uji t diperoleh t hitung untuk variabel

diferensiasi lebih kecil dari t tabel, sehingga Ho diterima dan Ha ditolak. Maka

mengindikasikan bahwa secara parsial variabel diferensiasi berpengaruh tidak

signifikan terhadap loyalitas konsumen. Hasil perhitungan hipotesis melalui uji t

diperoleh t hitung untuk variabel promosi iklan dimana t hitung lebih besar dari t

tabel, sehingga Ho ditolak dan Ha diterima. Maka mengindikasikan bahwa secara

parsial variabel promosi iklan berpengaruh terhadap loyalitas konsumen.

Untuk dapat mempertahankan konsumen produk sepatu Macbeth harus

memperbaiki dan meningkatkan inovasi produk, khususnya untuk produk sepatu,

agar dapat memberikan diferensiasi terhadap produknya dalam hal keunikan dan

inovatif dalam mengkombinasi logo, desain, dan model dalam produknya.

Sehingga dapat mendongkrak popularitas Macbeth dan menciptakan asosiasi

produk yang memberikan kesan kebanggaan pada benak konsumen ketika

menggunakan produk tersebut.

(3)

(4)

(5)

PERSEMBAHAN

Terucap syukur dalam iringan do’a dengan

rasa syukur yang sederhana kupersembahkan

sebuah karya kecilku untuk kedua orang

tuaku tercinta (ayah dan ibu) yang telah

membesarkanku dengan semangat penuuh

kasih sayang hingga aku menjadi dewasa

serta perjuangan mereka yang begitu panjang

agar aku menjadi pribadi yang dapat mereka

banggakan.

Adikku tersayang (Yulia Nurhidayah) yang

telah menemaniku dalam langkahku menjadi

seorang sarjana.

Kekasih Tercinta dan Tersayang Azrina

Septiani, kamu motivasi terbesar aku, aku

beruntung mendapatkan kamu.

Sahabat, saudara serta keluarga besar

Administarasi Bisinis dan keluarga besar

Universitas

Lampung

yang

selalu

memberikan motifasi.

Almamater

tercinta,

UNIVERSITAS

(6)

(7)

DAFTAR ISI

Halaman

DAFTAR ISI

...

DAFTAR TABEL

...

DAFTAR GAMBAR

...

I. PENDAHULUAN

A. Latar Belakang ...

1

B. Rumusan Masalah ...

9

C. Tujuan Penelitian ...

9

D. Manfaat Penelitian ...

10

II. TINJAUAN PUSTAKA

A. Konsep Pemasaran ...

11

1. Pengertian Manajemen Pemasaran ...

11

2. Pengertian Bauran Pemasaran ...

12

B. Diferensiasi ...

14

1. Pengertian Diferensiasi ...

14

2. Strategi-strategi Diferensiasi ...

15

C. Promosi ...

16

1. Pengertian Promosi ...

16

2. Tujuan Promosi ...

16

3. Bauran Promosi ...

17

4. Manfaat Promosi ...

18

5. Kegiatan Promosi ...

18

(8)

1. Pengertian Periklanan ...

19

2. Fungsi Iklan ...

20

3. Tujuan Iklan ...

20

E.

Loyalitas Konsumen ...

21

1. Pengertian Loyalitas Konsumen ...

21

2. Karakteristik Pelanggan yang Loyal ...

22

3. Tahapan Loyalitas Pelanggan ...

24

F.

Pengaruh Diferensiasi Terhadap Loyalitas Pelanggan ...

42

G.

Pengaruh Promosi Periklanan Terhadap Loyalitas Konsumen ...

44

H.

Kerangka Penelitian ...

45

I.

Hipotesis ...

47

III. METODE PENELITIAN

A. Tipe Penelitian ...

49

B. Definisi Konseptual ...

49

C. Definisi Operasional ...

50

D. Populasi dan Sampel ...

51

E. Skala Pengukuran ...

52

F. Teknik Pengumpulan Data ...

54

G. Teknik Pengujian Instrumen ...

54

1. Pengujian Validitas ...

54

2. Pengujian Reliabilitas ...

57

H. Teknik Analisis Data ...

58

1. Teknik Analisis Statistik Deskriptif ...

59

2. Analisis Regresi Linier Berganda ...

60

3. Uji F ...

61

(9)

IV. HASIL DAN PEMBAHASAN

A. Gambaran Um

um Perusahaan ……….

63

1. Sejarah Berdirinya Perusa

haan Macbeth ………

63

2. Profil Pe

rusahaan ………

64

B. Hasil Pe

nelitian ………

65

1. Karakteristik

Responden ……….

64

2. Gambaran Deskripsi J

awaban Responden ………

69

a. Variabel Diferensiasi

………..

69

b. Variabel Promosi iklan

………..

70

c. Variabel

Loyalitas ………

72

3. Hasil Aalisis Uji Asumsi Kl

asik/Inferensial ………..

73

a. Uji Norm

alitas ………..

73

b. Uji Multikol

inieritas ……….

74

c. Uji Heteroske

dastisitas ……….

75

4. Analisis Regresi Lini

er Berganda ………...

76

5. Uji Hipote

sis ………...

76

a. Uji

F ………..

78

b.

Uji T ………..

78

C. Pembahasa

n ………...

79

V. KESIMPULAN DAN SARAN

A.

Kesimpulan ………

84

B.

Saran ………..

85

DAFTAR PUSTAKA

(10)

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

sejujur-jujurnya 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)

5

4

3

2

1

b.

Identitas Responden

1. Nama

:...(Boleh tidak diisi)

2. Jenis Kelamin

:

( ). Laki-Laki

( ). Perempuan

3. Usia

:

( ) 19-28 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 :

(11)

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

(12)

Keyakinan Terhadap Produk

6.

Saya yakin dalam memilih

produk-produk 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.

(13)

LAMPIRAN 2. NONPARAMETRIC CORRELATIONS

VALIDITAS (X1)

Correlations

item1

item2

item3

item4

item5

item6

item7

total

item1

Pearson Correlation

1

.075

.007

1.000

**

.222

.075

-.069

.464

**

Sig. (2-tailed)

.646

.968

.000

.169

.646

.672

.003

Sum of Squares and

Cross-products

9.900

1.000

.100

9.900

2.250

1.000

-.800

23.350

Covariance

.254

.026

.003

.254

.058

.026

-.021

.599

N

40

item2

Pearson Correlation

.075

1

.193

.075

.293

1.000

**

.320

*

.752

**

Sig. (2-tailed)

.646

.233

.646

.067

.000

.044

.000

Sum of Squares and

Cross-products

1.000

18.000

4.000

1.000

4.000

18.000

5.000

51.000

Covariance

.026

.462

.103

.026

.103

.462

.128

1.308

N

40

item3

Pearson Correlation

.007

.193

1

.007

.302

.193

.322

*

.545

**

Sig. (2-tailed)

.968

.233

.968

.059

.233

.043

.000

Sum of Squares and

Cross-products

.100

4.000

23.900

.100

4.750

4.000

5.800

42.650

Covariance

.003

.103

.613

.003

.122

.103

.149

1.094

N

40

item4

Pearson Correlation

1.000

**

.075

.007

1

.222

.075

-.069

.464

**

Sig. (2-tailed)

.000

.646

.968

.169

.646

.672

.003

Sum of Squares and

Cross-products

9.900

1.000

.100

9.900

2.250

1.000

-.800

23.350

Covariance

.254

.026

.003

.254

.058

.026

-.021

.599

(14)

item5

Pearson Correlation

.222

.293

.302

.222

1

.293

.379

*

.624

**

Sig. (2-tailed)

.169

.067

.059

.169

.067

.016

.000

Sum of Squares and

Cross-products

2.250

4.000

4.750

2.250

10.375

4.000

4.500

32.125

Covariance

.058

.103

.122

.058

.266

.103

.115

.824

N

40

item6

Pearson Correlation

.075

1.000

**

.193

.075

.293

1

.320

*

.752

**

Sig. (2-tailed)

.646

.000

.233

.646

.067

.044

.000

Sum of Squares and

Cross-products

1.000

18.000

4.000

1.000

4.000

18.000

5.000

51.000

Covariance

.026

.462

.103

.026

.103

.462

.128

1.308

N

40

item7

Pearson Correlation

-.069

.320

*

.322

*

-.069

.379

*

.320

*

1

.548

**

Sig. (2-tailed)

.672

.044

.043

.672

.016

.044

.000

Sum of Squares and

Cross-products

-.800

5.000

5.800

-.800

4.500

5.000

13.600

32.300

Covariance

-.021

.128

.149

-.021

.115

.128

.349

.828

N

40

total

Pearson Correlation

.464

**

.752

**

.545

**

.464

**

.624

**

.752

**

.548

**

1

Sig. (2-tailed)

.003

.000

.003

.000

Sum of Squares and

Cross-products

23.350

51.000

42.650

23.350

32.125

51.000

32.300

255.775

Covariance

.599

1.308

1.094

.599

.824

1.308

.828

6.558

N

40

(15)

VALIDITAS (X2)

Correlations

item8

item9

item10

item11

item12

item13

item14

item15

total

item8

Pearson Correlation

1

.010

.069

.954

**

-.068

.239

.075

.955

**

.610

**

Sig. (2-tailed)

.951

.671

.000

.678

.138

.646

.000

Sum of Squares and

Cross-products

9.900

.150

.950

9.850

-.750

2.350

1.000

9.950

33.400

Covariance

.254

.004

.024

.253

-.019

.060

.026

.255

.856

N

40

item9

Pearson Correlation

.010

1

.196

.014

.275

.233

.198

.005

.475

**

Sig. (2-tailed)

.951

.225

.930

.085

.148

.222

.977

.002

Sum of Squares and

Cross-products

.150

22.775

4.075

.225

4.625

3.475

4.000

.075

39.400

Covariance

.004

.584

.104

.006

.119

.089

.103

.002

1.010

N

40

item10

Pearson Correlation

.069

.196

1

.135

.334

*

.233

.974

**

-.002

.689

**

Sig. (2-tailed)

.671

.225

.408

.035

.148

.000

.992

.000

Sum of Squares and

Cross-products

.950

4.075

18.975

1.925

5.125

3.175

18.000

-.025

52.200

Covariance

.024

.104

.487

.049

.131

.081

.462

.000

1.338

N

40

item11

Pearson Correlation

.954

**

.014

.135

1

-.054

.149

.072

.821

**

.589

**

Sig. (2-tailed)

.000

.930

.408

.740

.360

.660

.000

Sum of Squares and

Cross-products

9.850

.225

1.925

10.775

-.625

1.525

1.000

8.925

33.600

Covariance

.253

.006

.049

.276

-.016

.039

.026

.229

.862

N

40

item12

Pearson Correlation

-.068

.275

.334

*

-.054

1

.284

.335

*

-.075

.458

**

(16)

Sum of Squares and

Cross-products

-.750

4.625

5.125

-.625

12.375

3.125

5.000

-.875

28.000

Covariance

-.019

.119

.131

-.016

.317

.080

.128

-.022

.718

N

40

item13

Pearson Correlation

.239

.233

.149

.284

1

.302

.307

.563

**

Sig. (2-tailed)

.138

.148

.360

.076

.059

.054

.000

Sum of Squares and

Cross-products

2.350

3.475

3.175

1.525

3.125

9.775

4.000

3.175

30.600

Covariance

.060

.089

.081

.039

.080

.251

.103

.081

.785

N

40

item14

Pearson Correlation

.075

.198

.974

**

.072

.335

*

.302

1

.071

.705

**

Sig. (2-tailed)

.646

.222

.000

.660

.035

.059

.663

.000

Sum of Squares and

Cross-products

1.000

4.000

18.000

1.000

5.000

4.000

18.000

1.000

52.000

Covariance

.026

.103

.462

.026

.128

.103

.462

.026

1.333

N

40

item15

Pearson Correlation

.955

**

.005

-.002

.821

**

-.075

.307

.071

1

.576

**

Sig. (2-tailed)

.000

.977

.992

.000

.645

.054

.663

.000

Sum of Squares and

Cross-products

9.950

.075

-.025

8.925

-.875

3.175

1.000

10.975

33.200

Covariance

.255

.002

.000

.229

-.022

.081

.026

.281

.851

N

40

total

Pearson Correlation

.610

**

.475

**

.689

**

.589

**

.458

**

.563

**

.705

**

.576

**

1

Sig. (2-tailed)

.000

.002

.000

.003

.000

Sum of Squares and

Cross-products

33.400

39.400

52.200

33.600

28.000

30.600

52.000

33.200

302.400

Covariance

.856

1.010

1.338

.862

.718

.785

1.333

.851

7.754

N

40

(17)

VALIDITAS (Y)

Correlations (validitas y)

item16

item17

item18

item19

item20

item21

total

item16

Pearson Correlation

1

.013

.979

**

.160

.146

.013

.740

**

Sig. (2-tailed)

.936

.000

.325

.367

.936

.000

Sum of Squares and

Cross-products

23.600

.200

22.700

2.500

3.100

.200

52.300

Covariance

.605

.005

.582

.064

.079

.005

1.341

N

40

item17

Pearson Correlation

.013

1

.010

.222

.069

1.000

**

.510

**

Sig. (2-tailed)

.936

.951

.169

.671

.000

.001

Sum of Squares and

Cross-products

.200

9.900

.150

2.250

.950

9.900

23.350

Covariance

.005

.254

.004

.058

.024

.254

.599

N

40

item18

Pearson Correlation

.979

**

.010

1

.236

.196

.010

.770

**

Sig. (2-tailed)

.000

.951

.143

.225

.951

.000

Sum of Squares and

Cross-products

22.700

.150

22.775

3.625

4.075

.150

53.475

Covariance

.582

.004

.584

.093

.104

.004

1.371

N

40

item19

Pearson Correlation

.160

.222

.236

1

.365

*

.222

.557

**

Sig. (2-tailed)

.325

.169

.143

.020

.169

.000

Sum of Squares and

Cross-products

2.500

2.250

3.625

10.375

5.125

2.250

26.125

Covariance

.064

.058

.093

.266

.131

.058

.670

(18)

item20

Pearson Correlation

.146

.069

.196

.365

*

1

.069

.523

**

Sig. (2-tailed)

.367

.671

.225

.020

.671

.001

Sum of Squares and

Cross-products

3.100

.950

4.075

5.125

18.975

.950

33.175

Covariance

.079

.024

.104

.131

.487

.024

.851

N

40

item21

Pearson Correlation

.013

1.000

**

.010

.222

.069

1

.510

**

Sig. (2-tailed)

.936

.000

.951

.169

.671

.001

Sum of Squares and

Cross-products

.200

9.900

.150

2.250

.950

9.900

23.350

Covariance

.005

.254

.004

.058

.024

.254

.599

N

40

total

Pearson Correlation

.740

**

.510

**

.770

**

.557

**

.523

**

.510

**

1

Sig. (2-tailed)

.000

.001

.000

.001

Sum of Squares and

Cross-products

52.300

23.350

53.475

26.125

33.175

23.350

211.775

Covariance

1.341

.599

1.371

.670

.851

.599

5.430

N

40

(19)

LAMPIRAN 5. RELIABILITAS (X1)

Notes

Output Created 28-Feb-2013 22:46:13

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <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 00:00:00.000

Elapsed Time 00:00:00.003

[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 40 100.0

Excludeda 0 .0

Total 40 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's Alpha N of Items

(20)

LAMPIRAN 6. RELIABILITAS (X2)

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 40

Matrix Input

as missing.

procedure.

Syntax RELIABILITY

/VARIABLES=item8 item9 item10

item11 item12 item13 item14 item15

/SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA.

[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Excludeda 0 .0

Total 40 100.0

procedure.

(21)

LAMPIRAN 6. RELIABILITAS (Y)

Notes

Comments

Filter <none>

Weight <none>

Split File <none>

File 40

Matrix Input

as missing.

procedure.

Syntax RELIABILITY

/VARIABLES=item16 item17 item18

item19 item20 item21

/SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA.

[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Excludeda 0 .0

Total 40 100.0

procedure.

(22)

LAMPIRAN 8.

REGRESSION

Notes

Comments

Filter <none>

Weight <none>

Split File <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).

Memory Required 1636 bytes

Additional Memory Required for

(23)

[DataSet0]

Descriptive Statistics

Mean Std. Deviation N

loyallitas 24.10 2.725 40

diferensasi 30.42 2.881 40

promosi 32.22 2.486 40

Correlations

loyallitas diferensasi promosi

Pearson Correlation loyallitas 1.000 -.120 .572

diferensasi -.120 1.000 .201

promosi .572 .201 1.000

Sig. (1-tailed) loyallitas . .231 .000

diferensasi .231 . .107

promosi .000 .107 .

N loyallitas 40 40 40

diferensasi 40 40 40

promosi 40 40 40

Variables Entered/Removedb

Model Variables Entered

Variables

Removed Method

1 promosi,

diferensasia . Enter

a. All requested variables entered.

(24)

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the

Estimate

Change Statistics

Durbin-Watson

R Square Change F Change df1 df2 Sig. F Change

1

.620a .385 .351 2.195 .385 11.564 2 37 .000 2.058

a. Predictors: (Constant), promosi, diferensasi

(25)

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 111.396 2 55.698 11.564 .000a

Residual 178.204 37 4.816

Total 289.600 39

a. Predictors: (Constant), promosi, diferensasi

b. Dependent Variable: loyallitas

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 9.198 5.387 1.708 .096

diferensasi -.232 .125 -.245 -1.859 .071 .960 1.042

promosi .681 .144 .621 4.719 .000 .960 1.042

a. Dependent Variable: loyallitas

Coefficient Correlationsa

Model promosi diferensasi

1 Correlations promosi 1.000 -.201

diferensasi -.201 1.000

Covariances promosi .021 -.004

diferensasi -.004 .016

Collinearity Diagnosticsa

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions

(Constant) diferensasi promosi

1 1 2.991 1.000 .00 .00 .00

2 .006 22.287 .03 .86 .31

3 .003 33.514 .97 .14 .69

Casewise Diagnosticsa

Case

Number Std. Residual loyallitas Predicted Value Residual

37 4.589 33 22.93 10.072

(26)

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 21.08 26.99 24.10 1.690 40

Std. Predicted Value -1.789 1.708 .000 1.000 40

Standard Error of Predicted

Value .357 .885 .585 .139 40

Adjusted Predicted Value 20.94 26.71 24.09 1.706 40

Residual -3.609 10.072 .000 2.138 40

Std. Residual -1.645 4.589 .000 .974 40

Stud. Residual -1.728 4.869 .002 1.025 40

Deleted Residual -3.987 11.337 .010 2.368 40

Stud. Deleted Residual -1.778 8.013 .078 1.445 40

Mahal. Distance .058 5.364 1.950 1.377 40

Cook's Distance .000 .993 .037 .156 40

Centered Leverage Value .001 .138 .050 .035 40

(27)

(28)

Frequencies

Notes

Comments

Filter <none>

Weight <none>

Split File <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.

(29)

(30)

(31)

(32)

(33)

(34)

(35)

(36)

(37)

(38)

(39)

(40)

(41)

(42)

(43)

(44)

(45)

(46)

(47)

(48)

Frequency Table

item1

Frequency Percent Valid Percent Cumulative Percent

Valid 3 4 10.0 10.0 10.0

4 30 75.0 75.0 85.0

5 6 15.0 15.0 100.0

Total 40 100.0 100.0

item2

Valid 2 1 2.5 2.5 2.5

3 6 15.0 15.0 17.5

4 25 62.5 62.5 80.0

5 8 20.0 20.0 100.0

(49)

item3

Valid 2 1 2.5 2.5 2.5

3 10 25.0 25.0 27.5

4 19 47.5 47.5 75.0

5 10 25.0 25.0 100.0

Total 40 100.0 100.0

item4

Valid 3 4 10.0 10.0 10.0

4 30 75.0 75.0 85.0

5 6 15.0 15.0 100.0

Total 40 100.0 100.0

item5

Valid 3 8 20.0 20.0 20.0

4 29 72.5 72.5 92.5

5 3 7.5 7.5 100.0

Total 40 100.0 100.0

item6

Valid 2 1 2.5 2.5 2.5

3 6 15.0 15.0 17.5

4 25 62.5 62.5 80.0

5 8 20.0 20.0 100.0

(50)

item7

Valid 3 9 22.5 22.5 22.5

4 26 65.0 65.0 87.5

5 5 12.5 12.5 100.0

Total 40 100.0 100.0

item8

Valid 3 4 10.0 10.0 10.0

4 30 75.0 75.0 85.0

5 6 15.0 15.0 100.0

Total 40 100.0 100.0

item9

Valid 2 1 2.5 2.5 2.5

3 10 25.0 25.0 27.5

4 20 50.0 50.0 77.5

5 9 22.5 22.5 100.0

Total 40 100.0 100.0

item10

Valid 2 1 2.5 2.5 2.5

3 6 15.0 15.0 17.5

4 24 60.0 60.0 77.5

5 9 22.5 22.5 100.0

(51)

item11

Valid 3 4 10.0 10.0 10.0

4 29 72.5 72.5 82.5

5 7 17.5 17.5 100.0

Total 40 100.0 100.0

item12

Valid 3 9 22.5 22.5 22.5

4 27 67.5 67.5 90.0

5 4 10.0 10.0 100.0

Total 40 100.0 100.0

item13

Valid 3 9 22.5 22.5 22.5

4 29 72.5 72.5 95.0

5 2 5.0 5.0 100.0

Total 40 100.0 100.0

item14

Valid 2 1 2.5 2.5 2.5

3 6 15.0 15.0 17.5

4 25 62.5 62.5 80.0

5 8 20.0 20.0 100.0

(52)

item15

Valid 3 5 12.5 12.5 12.5

4 29 72.5 72.5 85.0

5 6 15.0 15.0 100.0

Total 40 100.0 100.0

item16

Valid 2 1 2.5 2.5 2.5

3 11 27.5 27.5 30.0

4 19 47.5 47.5 77.5

5 9 22.5 22.5 100.0

Total 40 100.0 100.0

item17

Valid 3 4 10.0 10.0 10.0

4 30 75.0 75.0 85.0

5 6 15.0 15.0 100.0

Total 40 100.0 100.0

item18

Valid 2 1 2.5 2.5 2.5

3 10 25.0 25.0 27.5

4 20 50.0 50.0 77.5

5 9 22.5 22.5 100.0

(53)

item19

Valid 3 8 20.0 20.0 20.0

4 29 72.5 72.5 92.5

5 3 7.5 7.5 100.0

Total 40 100.0 100.0

item20

Valid 2 1 2.5 2.5 2.5

3 6 15.0 15.0 17.5

4 24 60.0 60.0 77.5

5 9 22.5 22.5 100.0

(54)

LAMPIRAN 10. UJI F

Titik Persentase Distribusi F (df = 41 – 80) Pr

0.25 0.10 0.05 0.025 0.01 0.005 0.001

df 0.50 0.20 0.10 0.050 0.02 0.010 0.002

31 0.68052 1.30254 1.68288 2.01954 2.42080 2.70118 3.30127

32 0.68038 1.30204 1.68195 2.01808 2.41847 2.69807 3.29595

33 0.68024 1.30155 1.68107 2.01669 2.41625 2.69510 3.29089

34 0.68011 1.30109 1.68023 2.01537 2.41413 2.69228 3.28607

35 0.67998 1.30065 1.67943 2.01410 2.41212 2.68959 3.28148

36 0.67986 1.30023 1.67866 2.01290 2.41019 2.68701 3.27710

37 0.67975 1.29982 1.67793 2.01174 2.40835 2.68456 3.27291

38 0.67964 1.29944 1.67722 2.01063 2.40658 2.68220 3.26891

39 0.67953 1.29907 1.67655 2.00958 2.40489 2.67995 3.26508

40 0.67943 1.29871 1.67591 2.00856 2.40327 2.67779 3.26141

41 0.67933 1.29837 1.67528 2.00758 2.40172 2.67572 3.25789

42 0.67924 1.29805 1.67469 2.00665 2.40022 2.67373 3.25451

43 0.67915 1.29773 1.67412 2.00575 2.39879 2.67182 3.25127

44 0.67906 1.29743 1.67356 2.00488 2.39741 2.66998 3.24815

45 0.67898 1.29713 1.67303 2.00404 2.39608 2.66822 3.24515

46 0.67890 1.29685 1.67252 2.00324 2.39480 2.66651 3.24226

47 0.67882 1.29658 1.67203 2.00247 2.39357 2.66487 3.23948

48 0.67874 1.29632 1.67155 2.00172 2.39238 2.66329 3.23680

49 0.67867 1.29607 1.67109 2.00100 2.39123 2.66176 3.23421

50 0.67860 1.29582 1.67065 2.00030 2.39012 2.66028 3.23171

51 0.67853 1.29558 1.67022 1.99962 2.38905 2.65886 3.22930

52 0.67847 1.29536 1.66980 1.99897 2.38801 2.65748 3.22696

53 0.67840 1.29513 1.66940 1.99834 2.38701 2.65615 3.22471

54 0.67834 1.29492 1.66901 1.99773 2.38604 2.65485 3.22253

55 0.67828 1.29471 1.66864 1.99714 2.38510 2.65360 3.22041

56 0.67823 1.29451 1.66827 1.99656 2.38419 2.65239 3.21837

57 0.67817 1.29432 1.66792 1.99601 2.38330 2.65122 3.21639

58 0.67811 1.29413 1.66757 1.99547 2.38245 2.65008 3.21446

59 0.67806 1.29394 1.66724 1.99495 2.38161 2.64898 3.21260

60 0.67801 1.29376 1.66691 1.99444 2.38081 2.64790 3.21079

61 0.67796 1.29359 1.66660 1.99394 2.38002 2.64686 3.20903

62 0.67791 1.29342 1.66629 1.99346 2.37926 2.64585 3.20733

63 0.67787 1.29326 1.66600 1.99300 2.37852 2.64487 3.20567

64 0.67782 1.29310 1.66571 1.99254 2.37780 2.64391 3.20406

65 0.67778 1.29294 1.66543 1.99210 2.37710 2.64298 3.20249

66 0.67773 1.29279 1.66515 1.99167 2.37642 2.64208 3.20096

67 0.67769 1.29264 1.66488 1.99125 2.37576 2.64120 3.19948

68 0.67765 1.29250 1.66462 1.99085 2.37511 2.64034 3.19804

69 0.67761 1.29236 1.66437 1.99045 2.37448 2.63950 3.19663

(55)

[image:55.612.210.405.150.257.2]

LAMPIRAN 12. GAMBAR-GAMBAR SEPATU MACBETH

[image:55.612.201.413.342.490.2]

GAMBAR 1. MACBETH HENSLEY

GAMBAR 2. MACBETH PENDLETON

[image:55.612.211.403.572.670.2]

(56)

[image:56.612.211.403.71.221.2] [image:56.612.211.401.290.437.2]

GAMBAR 4. MACBERT SCHUBERT

GAMBAR 5. MACBETH BRIGHTON

[image:56.612.204.410.488.635.2]

(57)

[image:57.612.214.396.72.221.2]

GAMBAR 7. MACBETH CAULFIELD

[image:57.612.205.407.306.410.2]

(58)

Statistics

item1 item2 item3 item4 item5 item6 item7 item8 item9 item10 item11 item12 item13 item14 item15 item16 item17 item18 item19 item20

N

Valid 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40 40

Missin

g 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Mean 4.05 4.00 3.95 4.05 3.88 4.00 3.90 4.05 3.92 4.02 4.08 3.88 3.82 4.00 4.02 3.90 4.05 3.92 3.88 4.02

Std. Error of

Mean .080 .107 .124 .080 .082 .107 .093 .080 .121 .110 .083 .089 .079 .107 .084 .123 .080 .121 .082 .110

Median 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00

Mode 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4

Std.

Deviation .504 .679 .783 .504 .516 .679 .591 .504 .764 .698 .526 .563 .501 .679 .530 .778 .504 .764 .516 .698

Variance .254 .462 .613 .254 .266 .462 .349 .254 .584 .487 .276 .317 .251 .462 .281 .605 .254 .584 .266 .487

Skewness .108 -.516 -.248 .108 -.203 -.516 .016 .108 -.233 -.511 .104 -.042 -.356 -.516 .032 -.165 .108 -.233 -.203 -.511

Std. Error of

Skewness .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374 .374

Kurtosis 1.280 .967 -.477 1.280 .770 .967 .008 1.280 -.345 .744 .856 .227 .567 .967 .887 -.515 1.280 -.345 .770 .744

Std. Error of

Kurtosis .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733 .733

Range 2 3 3 2 2 3 2 2 3 3 2 2 2 3 2 3 2 3 2 3

Minimum 3 2 2 3 3 2 3 3 2 2 3 3 3 2 3 2 3 2 3 2

Maximum 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5

Sum 162 160 158 162 155 160 156 162 157 161 163 155 153 160 161 156 162 157 155 161

(59)

ntiles

20 4.00 4.00 3.00 4.00 3.20 4.00 3.00 4.00 3.00 4.00 4.00 3.00 3.00 4.00 4.00 3.00 4.00 3.00 3.20 4.00

25 4.00 4.00 3.00 4.00 4.00 4.00 4.00 4.00 3.00 4.00 4.00 4.00 4.00 4.00 4.00 3.00 4.00 3.00 4.00 4.00

30 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 3.30 4.00 4.00 4.00 4.00

40 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00

50 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00

60 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00

70 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00

75 4.00 4.00 4.75 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00 4.00

80 4.00 4.80 5.00 4.00 4.00 4.80 4.00 4.00 5.00 5.00 4.00 4.00 4.00 4.80 4.00 5.00 4.00 5.00 4.00 5.00