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TECHNOLOGY ACCEPTANCE MODEL DALAM ADOPSI PENGGUNAAN E-COMMERCE MEDIA SOSIAL DAN MARKET PLACE MAHASISWA JURUSAN AKUNTANSI UNIVERSITAS KATOLIK SOEGIJAPRANATA SEMARANG - Unika Repository

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LAMPIRAN 1:

KUESIONER PENELITIAN

TECHNOLOGY ACCEPTANCE MODEL

DALAM ADOPSI PENGGUNAAN

E-COMMERCE

MEDIA SOSIAL DAN

MARKET PLACE

MAHASISWA

JURUSAN AKUNTANSI UNIVERSITAS KATOLIK SOEGIJAPRANATA

SEMARANG

Petunjuk Pengisian:

Yth Sdra/i responden, saya sebagai mahasiswi akuntansi Universitas

Katolik Soegijapranata Semarang memohon kesediaan Sdra/i untuk meluangkan

waktu guna mengisi kuesioner penelitian. Beri tanda centang (

) yang menjadi

jawaban pilihan Sdra/i di salah satu kolom yang tersedia dengan kriteria:

STS :

Sangat tidak setuju

TS

:

Tidak setuju

N

:

Netral

S

:

Setuju

SS

:

Sangat Setuju

Identitas Responden

NIM

:

Jenis Kelamin

:

Laki-laki

Perempuan

Angkatan

:

2002

2006

2007

2008

:

2009

2010

2011

2012

:

2013

2014

2015

2016

Pengguna

e-commerce

:

Ya

Tidak

E-commerce

yang sering digunakan:

:

Tokopedia

Blibli

Lazada

Instagram

(2)

ATTITUDE TOWARD USING:

Pinho dan Soares (2011

)

NO

PERNYATAAN

STS TS N S SS

1

Saya suka menggunakan

e-commerce

2

E-commerce

sangat menyenangkan untuk digunakan

3

Orang lain sering terkesan dengan cara saya

menggunakan

e-commerce

4

Menggunakan

e-commerce

adalah ide yang bagus

BEHAVIORAL INTENTION:

Pinho dan Soares (2011

)

NO

PERNYATAAN

STS TS N S SS

1

Saya tidak keberatan untuk beralih ke

e-commerce

lain jika memiliki fungsionalitas yang lebih baik

2

Saya berniat untuk meningkatkan penggunaan

e-commerce

di masa depan

3

Menggunakan

e-commerce

adalah bagian dari

mengekspresikan kepribadian saya

4

Saya berminat menggunakan

e-commerce

untuk

melakukan operasional transaksi rutin

PERCEIVED USEFULNESS

:

Pinho dan Soares (2011

)

NO

PERNYATAAN

STS TS N S SS

1

Menggunakan

e-commerce

memungkinkan lebih

cepat bertransaksi

2

Menggunakan

e-commerce

meningkatkan kinerja

saya

3

Menggunakan

e-commerce

membuat saya fleksibel

4

Menggunakan

e-commerce

bermanfaat bagi transaksi

saya

PERCEIVED EASE OF USE:

Pinho dan Soares (2011

)

NO

PERNYATAAN

STS TS N S SS

1

E-commerce

membuat saya mudah untuk melakukan

apa yang saya inginkan

2

E-commerce

mudah dimengerti

3

E-commerce

tidak sulit untuk dipelajari

(3)

LAMPIRAN 2:

OUTPUT SPSS

TECHNOLOGY ACCEPTANCE MODEL

DALAM ADOPSI PENGGUNAAN

E-COMMERCE

MEDIA SOSIAL DAN

MARKET PLACE

MAHASISWA

JURUSAN AKUNTANSI UNIVERSITAS KATOLIK SOEGIJAPRANATA

SEMARANG

GAMBARAN UMUM RESPONDEN

JENIS_KELAMIN

Frequency Percent Valid Percent Cumulative

Percent

Valid

L 101 35.9 35.9 35.9

P 180 64.1 64.1 100.0

Total 281 100.0 100.0

ANGKATAN

Frequency Percent Valid Percent Cumulative

Percent

Valid

2011 1 .4 .4 .4

2012 6 2.1 2.1 2.5

2013 55 19.6 19.6 22.1

2014 143 50.9 50.9 73.0

2015 74 26.3 26.3 99.3

2016 2 .7 .7 100.0

Total 281 100.0 100.0

PENGGUNA_ECOMMERCE_MEDSOS

Frequency Percent Valid Percent Cumulative

Percent

Valid YA 281 100.0 100.0 100.0

ECOMMERCE_ SERING_DIGUNAKAN

Frequency Percent Valid Percent Cumulative

Percent

Valid

BLIBLI 63 22.4 22.4 22.4

FACEBOOK 19 6.8 6.8 29.2

INSTAGRAM 24 8.5 8.5 37.7

LAZADA 77 27.4 27.4 65.1

TOKOPEDIA 89 31.7 31.7 96.8

YOUTUBE 9 3.2 3.2 100.0

(4)

STATISTIK DESKRIPTIF MEDIA SOSIAL

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

ATU1 52 1 5 3.35 1.046

ATU2 52 1 5 3.42 1.126

ATU3 52 1 5 3.46 1.128

ATU4 52 1 5 3.27 1.173

ATU 52 1.25 5.00 3.3750 .84671

BI1 52 1 5 3.40 1.034

BI2 52 1 5 3.50 1.196

BI3 52 1 5 3.33 1.061

BI4 52 1 5 3.50 1.229

BI 52 1.50 4.75 3.4327 .82265

PU1 52 1 5 3.17 1.264

PU2 52 1 5 3.54 1.260

PU3 52 1 5 3.10 1.034

PU4 52 1 5 3.19 1.103

PU 52 1.50 4.75 3.2500 .79982

PEOU1 52 1 5 3.17 1.324

PEOU2 52 1 5 3.29 1.126

PEOU3 52 1 5 3.33 1.200

PEOU4 52 1 5 2.94 1.420

PEOU 52 1.25 4.75 3.1827 .88854

Valid N (listwise) 52

STATISTIK DESKRIPTIF MARKET PLACE

Descriptive Statistics market place

N Minimum Maximum Mean Std. Deviation

ATU1 229 1 5 3.35 1.170

ATU2 229 1 5 3.46 1.215

ATU3 229 1 5 3.39 1.254

ATU4 229 1 5 3.35 1.200

ATU 229 1.25 5.00 3.3876 .88554

BI1 229 1 5 3.41 1.142

BI2 229 1 5 3.34 1.177

BI3 229 1 5 3.52 1.107

BI4 229 1 5 3.32 1.239

BI 229 1.25 5.00 3.3974 .87412

PU1 229 1 5 3.32 1.295

PU2 229 1 5 3.52 1.191

PU3 229 1 5 3.40 1.160

PU4 229 1 5 3.33 1.186

PU 229 1.50 5.00 3.3919 .90506

PEOU1 229 1 5 3.25 1.375

PEOU2 229 1 5 3.44 1.189

PEOU3 229 1 5 3.39 1.197

PEOU4 229 1 5 3.46 1.384

PEOU 229 1.25 5.00 3.3865 .86710

(5)

UJI VALIDITAS DAN RELIABILITAS ATU

Case Processing Summary

N %

Cronbach's Alpha Cronbach's Alpha Based on Item Deleted

Scale Variance if Item Deleted

Corrected

Item-UJI VALIDITAS DAN RELIABILITAS BI

Case Processing Summary

N %

Cronbach's Alpha Cronbach's Alpha Based on Item Deleted

Scale Variance if Item Deleted

(6)

Item-UJI VALIDITAS DAN RELIABILITAS PU

Case Processing Summary

N %

Cronbach's Alpha Cronbach's Alpha Based on Item Deleted

Scale Variance if Item Deleted

Corrected

Item-UJI VALIDITAS DAN RELIABILITAS PEOU

Case Processing Summary

N %

Cronbach's Alpha Cronbach's Alpha Based on Item Deleted

Scale Variance if Item Deleted

(7)

Item-E-COMMERCE

MEDIA SOSIAL

PERSAMAAN 1

NPar Tests

a. Test distribution is Normal. b. Calculated from data.

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 PEOU, PUb . Enter

a. Dependent Variable: ABSRES1 b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .115a .013 -.027 .46361

a. Predictors: (Constant), PEOU, PU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression .141 2 .071 .329 .721b

Residual 10.532 49 .215

Total 10.673 51

a. Dependent Variable: ABSRES1 b. Predictors: (Constant), PEOU, PU

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig.

B Std. Error Beta

1

(Constant) .492 .300 1.639 .108

PU .064 .091 .112 .708 .482

PEOU -.055 .082 -.106 -.669 .507

a. Dependent Variable: ABSRES1

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 52

Normal Parametersa,b Mean 0E-7

Std. Deviation .70198041

Most Extreme Differences

Absolute .090

Positive .089

Negative -.090

Kolmogorov-Smirnov Z .647

(8)

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 PEOU, PUb . Enter

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

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .559a .313 .285 .71616

a. Predictors: (Constant), PEOU, PU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 11.431 2 5.715 11.144 .000b

Residual 25.132 49 .513

Total 36.562 51

a. Dependent Variable: ATU b. Predictors: (Constant), PEOU, PU

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) 1.235 .464 2.661 .011

PU .408 .140 .386 2.915 .005 .802 1.247

PEOU .256 .126 .268 2.029 .048 .802 1.247

(9)

E-COMMERCE

MEDIA SOSIAL

PERSAMAAN 2

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 52

Normal Parametersa,b Mean 0E-7

Std. Deviation .81107788

Most Extreme Differences

Absolute .105

Positive .065

Negative -.105

Kolmogorov-Smirnov Z .756

Asymp. Sig. (2-tailed) .617

a. Test distribution is Normal. b. Calculated from data.

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 ATUb . Enter

a. Dependent Variable: ABSRES2 b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .050a .002 -.017 .48480

a. Predictors: (Constant), ATU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression .029 1 .029 .125 .726b

Residual 11.752 50 .235

Total 11.781 51

a. Dependent Variable: ABSRES2 b. Predictors: (Constant), ATU

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) .743 .279 2.663 .010

ATU -.028 .080 -.050 -.353 .726

(10)

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 ATUb . Enter

a. Dependent Variable: BI

b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .167a .028 .008 .81915

a. Predictors: (Constant), ATU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression .964 1 .964 2.437 .036b

Residual 33.550 50 .671

Total 34.514 51

a. Dependent Variable: BI b. Predictors: (Constant), ATU

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 2.885 .471 6.123 .000

ATU .162 .135 .167 2.199 .036 1.000 1.000

(11)

E-COMMERCE

MARKET PLACE

PERSAMAAN 1

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 229

Normal Parametersa,b Mean 0E-7

Std. Deviation .59996371

Most Extreme Differences

Absolute .032

Positive .032

Negative -.028

Kolmogorov-Smirnov Z .481

Asymp. Sig. (2-tailed) .975

a. Test distribution is Normal. b. Calculated from data.

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 PEOU, PUb . Enter

a. Dependent Variable: ABSRES1 b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .171a .029 .021 .36434

a. Predictors: (Constant), PEOU, PU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression .907 2 .454 3.417 .035b

Residual 30.000 226 .133

Total 30.907 228

a. Dependent Variable: ABSRES1 b. Predictors: (Constant), PEOU, PU

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig.

B Std. Error Beta

1

(Constant) .737 .105 7.040 .000

PU -.024 .035 -.058 -.677 .499

PEOU -.054 .037 -.128 -1.486 .139

(12)

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 PEOU, PUb . Enter

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

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .736a .541 .537 .60261

a. Predictors: (Constant), PEOU, PU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 96.722 2 48.361 133.174 .000b

Residual 82.070 226 .363

Total 178.792 228

a. Dependent Variable: ATU b. Predictors: (Constant), PEOU, PU

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1

(Constant) .696 .173 4.020 .000

PU .528 .058 .539 9.124 .000 .581 1.721

PEOU .266 .060 .261 4.409 .000 .581 1.721

(13)

E-COMMERCE

MARKET PLACE

PERSAMAAN 2

NPar Tests

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 229

Normal Parametersa,b Mean 0E-7

Std. Deviation .77873414

Most Extreme Differences

Absolute .032

Positive .032

Negative -.032

Kolmogorov-Smirnov Z .491

Asymp. Sig. (2-tailed) .970

a. Test distribution is Normal. b. Calculated from data.

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 ATUb . Enter

a. Dependent Variable: ABSRES2 b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .140a .020 .015 .47322

a. Predictors: (Constant), ATU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 1.013 1 1.013 4.525 .064b

Residual 50.833 227 .224

Total 51.846 228

a. Dependent Variable: ABSRES2 b. Predictors: (Constant), ATU

Coefficientsa

Model Unstandardized Coefficients Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) .869 .124 7.016 .000

ATU -.075 .035 -.140 -2.127 .064

(14)

Regression

Variables Entered/Removeda

Model Variables Entered Variables

Removed

Method

1 ATUb . Enter

a. Dependent Variable: BI

b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of the Estimate

1 .454a .206 .203 .78045

a. Predictors: (Constant), ATU

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1

Regression 35.948 1 35.948 59.019 .000b

Residual 138.265 227 .609

Total 174.213 228

a. Dependent Variable: BI b. Predictors: (Constant), ATU

Coefficientsa

Model Unstandardized

Coefficients

Standardized Coefficients

t Sig. Collinearity

Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 1.878 .204 9.193 .000

ATU .448 .058 .454 7.682 .000 1.000 1.000

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