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

  

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

  : ฀ Facebook ฀ Youtube ฀Twitter ฀ Lainnya:…..

ATTITUDE TOWARD USING:

  Pinho dan Soares (2011)

NO PERNYATAAN STS TS N S SS

  1 Saya suka menggunakan e-commerce E-commerce

  2 sangat menyenangkan untuk digunakan Orang lain sering terkesan dengan cara saya 3 menggunakan e-commerce

  4 Menggunakan e-commerce adalah ide yang bagus

BEHAVIORAL INTENTION:

  Pinho dan Soares (2011)

NO PERNYATAAN STS TS N S SS

  Saya tidak keberatan untuk beralih ke e-commerce

  1 lain jika memiliki fungsionalitas yang lebih baik Saya berniat untuk meningkatkan penggunaan e-

  2 commerce di masa depan Menggunakan e-commerce adalah bagian dari

  3 mengekspresikan kepribadian saya Saya berminat menggunakan e-commerce untuk

  4 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

  E-commerce 1 membuat saya mudah untuk melakukan apa yang saya inginkan

  E-commerce 2 mudah dimengerti

  E-commerce 3 tidak sulit untuk dipelajari

  4 Mudah bagi saya untuk menjadi ahli dalam menggunakan e-commerce

  

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

  L 101

  35.9

  35.9

  35.9 P 180

  64.1 64.1 100.0 Valid

  Total 281 100.0 100.0

  ANGKATAN

  Frequency Percent Valid Percent Cumulative Percent

  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 Valid 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

  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 Valid TOKOPEDIA

  89

  31.7

  31.7

  96.8 YOUTUBE

  9

  3.2 3.2 100.0 Total 281 100.0 100.0

STATISTIK DESKRIPTIF MEDIA SOSIAL

  

Descriptive Statistics

  1

  1

  5 3.41 1.142 BI2 229

  1

  1.25 5.00 3.3876 .88554 BI1 229

  5 3.35 1.200 ATU 229

  1

  5 3.39 1.254 ATU4 229

  1

  5 3.46 1.215 ATU3 229

  5 3.35 1.170 ATU2 229

  1

  1

  N Minimum Maximum Mean Std. Deviation ATU1 229

  

Descriptive Statistics market place

  1.25 4.75 3.1827 .88854 Valid N (listwise)

  52

  5 2.94 1.420 PEOU

  1

  52

  5 3.33 1.200 PEOU4

  5 3.34 1.177 BI3 229

  5 3.52 1.107 BI4 229

  52

  1.50 5.00 3.3919 .90506 PEOU1 229

  1.25 5.00 3.3865 .86710 Valid N (listwise) 229

  5 3.46 1.384 PEOU 229

  1

  5 3.39 1.197 PEOU4 229

  1

  5 3.44 1.189 PEOU3 229

  1

  5 3.25 1.375 PEOU2 229

  1

  5 3.33 1.186 PU 229

  1

  1

  5 3.40 1.160 PU4 229

  1

  5 3.52 1.191 PU3 229

  1

  5 3.32 1.295 PU2 229

  1

  1.25 5.00 3.3974 .87412 PU1 229

  5 3.32 1.239 BI 229

  1

  5 3.29 1.126 PEOU3

  N Minimum Maximum Mean Std. Deviation ATU1

  5 3.27 1.173 ATU

  52

  5 3.50 1.196 BI3

  1

  52

  5 3.40 1.034 BI2

  1

  52

  1.25 5.00 3.3750 .84671 BI1

  52

  1

  5 3.33 1.061 BI4

  52

  5 3.46 1.128 ATU4

  1

  52

  5 3.42 1.126 ATU3

  1

  52

  5 3.35 1.046 ATU2

  1

  52

  1

  52

  1

  5 3.10 1.034 PU4

  52

  5 3.17 1.324 PEOU2

  1

  52

  1.50 4.75 3.2500 .79982 PEOU1

  52

  5 3.19 1.103 PU

  1

  52

  1

  1

  52

  5 3.54 1.260 PU3

  1

  52

  5 3.17 1.264 PU2

  1

  52

  1.50 4.75 3.4327 .82265 PU1

  52

  5 3.50 1.229 BI

52 STATISTIK DESKRIPTIF MARKET PLACE

  UJI VALIDITAS DAN RELIABILITAS ATU Case Processing Summary

  N % Valid 281 100.0

  a

  Cases Excluded .0 Total 281 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .717 .716

  4 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  ATU1 10.19 8.227 .421 .184 .703 ATU2 10.09 7.510 .512 .269 .651

  ATU3 10.14 6.932 .596 .365 .597 ATU4 10.21 7.629 .494 .275 .662

  UJI VALIDITAS DAN RELIABILITAS BI Case Processing Summary

  N % Valid 281 100.0

  a

  Cases Excluded .0 Total 281 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .731 .731

  4 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  BI1 10.21 7.581 .501 .262 .683 BI2 10.24 7.227 .522 .278 .671

  BI3 10.13 7.650 .505 .261 .681 BI4 10.26 6.788 .561 .319 .648

  UJI VALIDITAS DAN RELIABILITAS PU Case Processing Summary

  N % Valid 281 100.0

  a

  Cases Excluded .0 Total 281 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .721 .724

  4 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  PU1 10.17 7.618 .465 .219 .689 PU2 9.94 7.940 .473 .238 .681

  PU3 10.12 8.021 .504 .283 .664 PU4 10.16 7.368 .605 .376 .603

  UJI VALIDITAS DAN RELIABILITAS PEOU Case Processing Summary

  N % Valid 281 100.0

  a

  Cases Excluded .0 Total 281 100.0

  a. Listwise deletion based on all variables in the procedure.

  Reliability Statistics

  Cronbach's Alpha Cronbach's Alpha N of Items Based on

  Standardized Items

  .607 .615

  4 Item-Total Statistics Scale Mean if Scale Variance Corrected Item- Squared Cronbach's

  Item Deleted if Item Deleted Total Multiple Alpha if Item Correlation Correlation Deleted

  PEOU1 10.16 7.904 .317 .111 .592 PEOU2 9.98 8.068 .410 .210 .522

  PEOU3 10.01 7.600 .481 .270 .471 PEOU4 10.03 7.467 .360 .170 .561

E-COMMERCE MEDIA SOSIAL

  PERSAMAAN 1 NPar Tests One-Sample Kolmogorov-Smirnov Test

  Unstandardized Residual

  N

  52 Mean

  0E-7

  a,b

  Normal Parameters Std. Deviation .70198041 Absolute .090

  Most Extreme Differences Positive .089 Negative -.090

  Kolmogorov-Smirnov Z .647 Asymp. Sig. (2-tailed) .797 a. Test distribution is Normal.

  b. Calculated from data.

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 PEOU, PU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .115 .013 -.027 .46361

  a. Predictors: (Constant), PEOU, PU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression .141 2 .071 .329 .721 Residual 10.532 49 .215

  1 Total 10.673

  51

  a. Dependent Variable: ABSRES1

  b. Predictors: (Constant), PEOU, PU

  a

Coefficients

Model Unstandardized Coefficients Standardized t Sig.

  Coefficients B Std. Error Beta

  (Constant) .492 .300 1.639 .108

  1 PU .064 .091 .112 .708 .482 PEOU -.055 .082 -.106 -.669 .507

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 PEOU, PU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .559 .313 .285 .71616

  a. Predictors: (Constant), PEOU, PU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression 11.431 2 5.715 11.144 .000 Residual 25.132 49 .513

  1 Total 36.562

  51

  a. Dependent Variable: ATU

  b. Predictors: (Constant), PEOU, PU

  a

Coefficients

  Model Unstandardized Standardized t Sig. Collinearity Coefficients Coefficients Statistics

  B Std. Error Beta Tolerance

  VIF (Constant) 1.235 .464 2.661 .011

  1 PU .408 .140 .386 2.915 .005 .802 1.247 PEOU .256 .126 .268 2.029 .048 .802 1.247

  a. Dependent Variable: ATU

E-COMMERCE MEDIA SOSIAL

  PERSAMAAN 2 NPar Tests One-Sample Kolmogorov-Smirnov Test

  Unstandardized Residual

  N

  52 Mean

  0E-7

  a,b

  Normal Parameters Std. Deviation .81107788 Absolute .105

  Most Extreme Differences Positive .065 Negative -.105

  Kolmogorov-Smirnov Z .756 Asymp. Sig. (2-tailed) .617 a. Test distribution is Normal.

  b. Calculated from data.

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 ATU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .050 .002 -.017 .48480

  a. Predictors: (Constant), ATU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression .029 1 .029 .125 .726 Residual 11.752 50 .235

  1 Total 11.781

  51

  a. Dependent Variable: ABSRES2

  b. Predictors: (Constant), ATU

  a

Coefficients

Model Unstandardized Coefficients Standardized t Sig.

  Coefficients B Std. Error Beta

  (Constant) .743 .279 2.663 .010

  1 ATU -.028 .080 -.050 -.353 .726

  a. Dependent Variable: ABSRES2

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 ATU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .167 .028 .008 .81915

  a. Predictors: (Constant), ATU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression .964 1 .964 2.437 .036 Residual 33.550 50 .671

  1 Total 34.514

  51

  a. Dependent Variable: BI

  b. Predictors: (Constant), ATU

  a

Coefficients

  Model Unstandardized Standardized t Sig. Collinearity Coefficients Coefficients Statistics

  B Std. Error Beta Tolerance

  VIF (Constant) 2.885 .471 6.123 .000

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

  a. Dependent Variable: BI

  E-COMMERCE MARKET PLACE PERSAMAAN 1 NPar Tests One-Sample Kolmogorov-Smirnov Test

  Unstandardized Residual

  N 229

  Mean

  0E-7

  a,b

  Normal Parameters Std. Deviation .59996371 Absolute .032

  Most Extreme Differences Positive .032 Negative -.028

  Kolmogorov-Smirnov Z .481 Asymp. Sig. (2-tailed) .975 a. Test distribution is Normal.

  b. Calculated from data.

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 PEOU, PU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .171 .029 .021 .36434

  a. Predictors: (Constant), PEOU, PU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression .907 2 .454 3.417 .035 Residual 30.000 226 .133

  1 Total 30.907 228

  a. Dependent Variable: ABSRES1

  b. Predictors: (Constant), PEOU, PU

  a

Coefficients

Model Unstandardized Coefficients Standardized t Sig.

  Coefficients B Std. Error Beta

  (Constant) .737 .105 7.040 .000

  1 PU -.024 .035 -.058 -.677 .499 PEOU -.054 .037 -.128 -1.486 .139

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 PEOU, PU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .736 .541 .537 .60261

  a. Predictors: (Constant), PEOU, PU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression 96.722 2 48.361 133.174 .000 Residual 82.070 226 .363

  1 Total 178.792 228

  a. Dependent Variable: ATU

  b. Predictors: (Constant), PEOU, PU

  a

Coefficients

  Model Unstandardized Standardized t Sig. Collinearity Coefficients Coefficients Statistics

  B Std. Error Beta Tolerance

  VIF (Constant) .696 .173 4.020 .000

  1 PU .528 .058 .539 9.124 .000 .581 1.721 PEOU .266 .060 .261 4.409 .000 .581 1.721

  a. Dependent Variable: ATU

  E-COMMERCE MARKET PLACE PERSAMAAN 2 NPar Tests One-Sample Kolmogorov-Smirnov Test

  Unstandardized Residual

  N 229

  Mean

  0E-7

  a,b

  Normal Parameters Std. Deviation .77873414 Absolute .032

  Most Extreme Differences Positive .032 Negative -.032

  Kolmogorov-Smirnov Z .491 Asymp. Sig. (2-tailed) .970 a. Test distribution is Normal.

  b. Calculated from data.

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 ATU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .140 .020 .015 .47322

  a. Predictors: (Constant), ATU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression 1.013 1 1.013 4.525 .064 Residual 50.833 227 .224

  1 Total 51.846 228

  a. Dependent Variable: ABSRES2

  b. Predictors: (Constant), ATU

  a

Coefficients

Model Unstandardized Coefficients Standardized t Sig.

  Coefficients B Std. Error Beta

  (Constant) .869 .124 7.016 .000

  1 ATU -.075 .035 -.140 -2.127 .064

  a. Dependent Variable: ABSRES2

  Regression a Variables Entered/Removed

  Model Variables Entered Variables Method Removed

  b

  1 ATU . Enter

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

  Model Summary

  Model R R Square Adjusted R Std. Error of the Square Estimate

  a

  1 .454 .206 .203 .78045

  a. Predictors: (Constant), ATU

  a

ANOVA

Model Sum of Squares df Mean Square F Sig. b

  Regression 35.948 1 35.948 59.019 .000 Residual 138.265 227 .609

  1 Total 174.213 228

  a. Dependent Variable: BI

  b. Predictors: (Constant), ATU

  a

Coefficients

  Model Unstandardized Standardized t Sig. Collinearity Coefficients Coefficients Statistics

  B Std. Error Beta Tolerance

  VIF (Constant) 1.878 .204 9.193 .000

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

  a. Dependent Variable: BI