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

(1)

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

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

Percent

Valid YA 281 100.0 100.0 100.0

ECOMMERCE_ SERING_DIGUNAKAN

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

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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

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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

N %

(6)

Item-UJI VALIDITAS DAN RELIABILITAS PU

N %

Corrected

Item-UJI VALIDITAS DAN RELIABILITAS PEOU

N %

(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

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Regression

Removed

Method

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

Model Summary

Square

1 .559a _.313 _.285 _.71616

ANOVAa

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

N 52

Absolute .105

Positive .065

Negative -.105

Asymp. Sig. (2-tailed) .617

Regression

Removed

Method

1 ATUb _{. Enter}

Model Summary

Square

1 .050a _.002 _-.017 _.48480

a. Predictors: (Constant), ATU

ANOVAa

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

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) .743 .279 2.663 .010

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

(10)

Regression

Removed

Method

1 ATUb _{. Enter}

a. Dependent Variable: BI

b. All requested variables entered.

Model Summary

Square

1 .167a _.028 _.008 _.81915

ANOVAa

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

Coefficients

t Sig. Collinearity

Statistics

1 (Constant) 2.885 .471 6.123 .000

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

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E-COMMERCE

MARKET PLACE

PERSAMAAN 1

NPar Tests

N 229

Absolute .032

Positive .032

Negative -.028

Regression

Removed

Method

Model Summary

Square

1 .171a _.029 _.021 _.36434

ANOVAa

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

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

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Regression

Removed

Method

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

Model Summary

Square

1 .736a _.541 _.537 _.60261

ANOVAa

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

Coefficients

t Sig. Collinearity

Statistics

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

N 229

Absolute .032

Positive .032

Negative -.032

Regression

Removed

Method

1 ATUb _{. Enter}

Model Summary

Square

1 .140a _.020 _.015 _.47322

ANOVAa

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

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) .869 .124 7.016 .000

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

(14)

Regression

Removed

Method

1 ATUb _{. Enter}

a. Dependent Variable: BI

b. All requested variables entered.

Model Summary

Square

1 .454a _.206 _.203 _.78045

ANOVAa

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

Coefficients

t Sig. Collinearity

Statistics

1 (Constant) 1.878 .204 9.193 .000

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