Analisis pengaruh faktor-faktor penggerak mobile Application usefulness terhadap mobile application Stickiness dan implikasinya terhadap wom telaah pada Pengguna aplikasi spotify berbayar

Teks penuh

(1)Hak cipta dan penggunaan kembali: Lisensi ini mengizinkan setiap orang untuk menggubah, memperbaiki, dan membuat ciptaan turunan bukan untuk kepentingan komersial, selama anda mencantumkan nama penulis dan melisensikan ciptaan turunan dengan syarat yang serupa dengan ciptaan asli. Copyright and reuse: This license lets you remix, tweak, and build upon work non-commercially, as long as you credit the origin creator and license it on your new creations under the identical terms.. Team project ©2017 Dony Pratidana S. Hum | Bima Agus Setyawan S. IIP.

(2) LAMPIRAN. 140 Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(3) Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.





(8) FACTOR /VARIABLES UBQ1 UBQ2 UBQ3 UBQ4 /MISSING LISTWISE /ANALYSIS UBQ1 UBQ2 UBQ3 UBQ4 /PRINT INITIAL KMO AIC EXTRACTION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION.. Factor Analysis. KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity. .766. Approx. Chi-Square. 50.785. df. 6. Sig.. .000. Anti-image Matrices UBQ1 Anti-image Covariance. Anti-image Correlation. UBQ2. UBQ3. UBQ4. UBQ1. .497. -.197. -.080. .063. UBQ2. -.197. .324. -.166. -.131. UBQ3. -.080. -.166. .420. -.132. UBQ4. .063. -.131. -.132. .651. UBQ1. .768a. -.491. -.175. .112. UBQ2. -.491. .716a. -.450. -.286. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(9) UBQ3. -.175. -.450. .798a. -.253. UBQ4. .112. -.286. -.253. .817a. a. Measures of Sampling Adequacy(MSA). Communalities Initial. Extraction. UBQ1. 1.000. .636. UBQ2. 1.000. .832. UBQ3. 1.000. .764. UBQ4. 1.000. .508. Extraction Method: Principal Component Analysis.. Total Variance Explained Initial Eigenvalues Component. Total. % of Variance. Extraction Sums of Squared Loadings. Cumulative %. 1. 2.741. 68.534. 68.534. 2. .674. 16.849. 85.383. 3. .355. 8.870. 94.254. 4. .230. 5.746. 100.000. Total 2.741. Extraction Method: Principal Component Analysis.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. % of Variance 68.534. Cumulative % 68.534.

(10) Component Matrixa Component 1 UBQ1. .798. UBQ2. .912. UBQ3. .874. UBQ4. .713. Extraction Method: Principal Component Analysis.a a. 1 components extracted.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(11) FACTOR /VARIABLES INF1 INF2 INF3 /MISSING LISTWISE /ANALYSIS INF1 INF2 INF3 /PRINT INITIAL KMO AIC EXTRACTION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION.. Factor Analysis KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity. .699. Approx. Chi-Square. 30.638. df. 3. Sig.. .000. Anti-image Matrices INF1 Anti-image Covariance. Anti-image Correlation. INF2. INF3. INF1. .545. -.244. -.105. INF2. -.244. .449. -.229. INF3. -.105. -.229. .573. INF1. .719a. -.494. -.187. INF2. -.494. .653a. -.452. INF3. -.187. -.452. .741a. a. Measures of Sampling Adequacy(MSA). Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(12) Communalities Initial. Extraction. INF1. 1.000. .718. INF2. 1.000. .802. INF3. 1.000. .698. Extraction Method: Principal Component Analysis.. Total Variance Explained Initial Eigenvalues Component. Total. % of Variance. Extraction Sums of Squared Loadings. Cumulative %. 1. 2.219. 73.961. 73.961. 2. .472. 15.738. 89.699. 3. .309. 10.301. 100.000. Total 2.219. Extraction Method: Principal Component Analysis.. Component Matrixa Component 1 INF1. .848. INF2. .896. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. % of Variance 73.961. Cumulative % 73.961.

(13) INF3. .836. Extraction Method: Principal Component Analysis.a a. 1 components extracted.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(14) FACTOR /VARIABLES PRS1 PRS2 PRS3 PRS4 /MISSING LISTWISE /ANALYSIS PRS1 PRS2 PRS3 PRS4 /PRINT INITIAL KMO AIC EXTRACTION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION.. Factor Analysis KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity. .713. Approx. Chi-Square. 31.551. df. 6. Sig.. .000. Anti-image Matrices PRS1 Anti-image Covariance. Anti-image Correlation. PRS2. PRS3. PRS4. PRS1. .515. -.245. -.246. -.002. PRS2. -.245. .641. -.019. -.141. PRS3. -.246. -.019. .555. -.217. PRS4. -.002. -.141. -.217. .724. PRS1. .676a. -.426. -.460. -.004. PRS2. -.426. .740a. -.032. -.208. PRS3. -.460. -.032. .701a. -.342. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(15) PRS4. -.004. -.208. -.342. .764a. a. Measures of Sampling Adequacy(MSA). Communalities Initial. Extraction. PRS1. 1.000. .689. PRS2. 1.000. .578. PRS3. 1.000. .663. PRS4. 1.000. .488. Extraction Method: Principal Component Analysis.. Total Variance Explained Initial Eigenvalues Component. Total. % of Variance. Extraction Sums of Squared Loadings. Cumulative %. 1. 2.419. 60.463. 60.463. 2. .689. 17.215. 77.678. 3. .565. 14.121. 91.800. 4. .328. 8.200. 100.000. Total 2.419. Extraction Method: Principal Component Analysis.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. % of Variance 60.463. Cumulative % 60.463.

(16) Component Matrixa Component 1 PRS1. .830. PRS2. .760. PRS3. .814. PRS4. .699. Extraction Method: Principal Component Analysis.a a. 1 components extracted.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(17) FACTOR /VARIABLES USE1 USE2 USE3 USE4 /MISSING LISTWISE /ANALYSIS USE1 USE2 USE3 USE4 /PRINT INITIAL KMO AIC EXTRACTION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION.. Factor Analysis KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity. .776. Approx. Chi-Square. 44.497. df. 6. Sig.. .000. Anti-image Matrices USE1 Anti-image Covariance. Anti-image Correlation. USE2. USE3. USE4. USE1. .404. -.170. -.220. -.078. USE2. -.170. .470. -.090. -.184. USE3. -.220. -.090. .507. -.015. USE4. -.078. -.184. -.015. .685. USE1. .736a. -.391. -.487. -.148. USE2. -.391. .785a. -.185. -.324. USE3. -.487. -.185. .777a. -.026. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(18) USE4. -.148. -.324. -.026. .839a. a. Measures of Sampling Adequacy(MSA). Communalities Initial. Extraction. USE1. 1.000. .772. USE2. 1.000. .736. USE3. 1.000. .664. USE4. 1.000. .507. Extraction Method: Principal Component Analysis.. Total Variance Explained Initial Eigenvalues Component. Total. % of Variance. Extraction Sums of Squared Loadings. Cumulative %. 1. 2.679. 66.977. 66.977. 2. .654. 16.343. 83.320. 3. .384. 9.599. 92.919. 4. .283. 7.081. 100.000. Total 2.679. Extraction Method: Principal Component Analysis.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. % of Variance 66.977. Cumulative % 66.977.

(19) Component Matrixa Component 1 USE1. .879. USE2. .858. USE3. .815. USE4. .712. Extraction Method: Principal Component Analysis.a a. 1 components extracted.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(20) FACTOR /VARIABLES STK1 STK2 STK3 STK4 /MISSING LISTWISE /ANALYSIS STK1 STK2 STK3 STK4 /PRINT INITIAL KMO AIC EXTRACTION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION.. Factor Analysis KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity. .674. Approx. Chi-Square. 40.376. df. 6. Sig.. .000. Anti-image Matrices STK1 Anti-image Covariance. Anti-image Correlation. STK2. STK3. STK4. STK1. .628. -.143. -.190. -.051. STK2. -.143. .366. .072. -.253. STK3. -.190. .072. .816. -.126. STK4. -.051. -.253. -.126. .370. STK1. .807a. -.298. -.265. -.105. STK2. -.298. .622a. .132. -.689. STK3. -.265. .132. .689a. -.230. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(21) STK4. -.105. -.689. -.230. .647a. a. Measures of Sampling Adequacy(MSA). Communalities Initial. Extraction. STK1. 1.000. .621. STK2. 1.000. .742. STK3. 1.000. .306. STK4. 1.000. .772. Extraction Method: Principal Component Analysis.. Total Variance Explained Initial Eigenvalues Component. Total. % of Variance. Extraction Sums of Squared Loadings. Cumulative %. 1. 2.441. 61.013. 61.013. 2. .835. 20.879. 81.892. 3. .511. 12.779. 94.671. 4. .213. 5.329. 100.000. Total 2.441. Extraction Method: Principal Component Analysis.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. % of Variance 61.013. Cumulative % 61.013.

(22) Component Matrixa Component 1 STK1. .788. STK2. .862. STK3. .553. STK4. .879. Extraction Method: Principal Component Analysis.a a. 1 components extracted.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(23) FACTOR /VARIABLES WOM1 WOM2 WOM3 WOM4 /MISSING LISTWISE /ANALYSIS WOM1 WOM2 WOM3 WOM4 /PRINT INITIAL KMO AIC EXTRACTION /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /METHOD=CORRELATION.. Factor Analysis KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity. .535. Approx. Chi-Square. 33.015. df. 6. Sig.. .000. Anti-image Matrices WOM1 Anti-image Covariance. Anti-image Correlation. WOM2. WOM3. WOM4. WOM1. .562. .149. -.249. -.291. WOM2. .149. .540. -.300. -.225. WOM3. -.249. -.300. .496. .087. WOM4. -.291. -.225. .087. .606. WOM1. .513a. .271. -.472. -.499. WOM2. .271. .512a. -.580. -.394. WOM3. -.472. -.580. .548a. .159. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(24) WOM4. -.499. -.394. .159. .571a. a. Measures of Sampling Adequacy(MSA). Communalities Initial. Extraction. WOM1. 1.000. .544. WOM2. 1.000. .554. WOM3. 1.000. .652. WOM4. 1.000. .556. Extraction Method: Principal Component Analysis.. Total Variance Explained Initial Eigenvalues Component. Total. % of Variance. Extraction Sums of Squared Loadings. Cumulative %. 1. 2.306. 57.649. 57.649. 2. .831. 20.779. 78.428. 3. .615. 15.374. 93.803. 4. .248. 6.197. 100.000. Total 2.306. Extraction Method: Principal Component Analysis.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. % of Variance 57.649. Cumulative % 57.649.

(25) Component Matrixa Component 1 WOM1. .738. WOM2. .744. WOM3. .807. WOM4. .746. Extraction Method: Principal Component Analysis.a a. 1 components extracted.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(26) RELIABILITY /VARIABLES=UBQ1 UBQ2 UBQ3 UBQ4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.. Reliability Scale: ALL VARIABLES Case Processing Summary N Cases. Valid Excludeda Total. % 30. 100.0. 0. .0. 30. 100.0. a. Listwise deletion based on all variables in the procedure.. Reliability Statistics Cronbach's Alpha. N of Items .840. 4. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(27) RELIABILITY /VARIABLES=INF1 INF2 INF3 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.. Reliability Scale: ALL VARIABLES Case Processing Summary N Cases. Valid Excludeda Total. % 30. 100.0. 0. .0. 30. 100.0. a. Listwise deletion based on all variables in the procedure.. Reliability Statistics Cronbach's Alpha. N of Items .822. 3. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(28) RELIABILITY /VARIABLES=PRS1 PRS2 PRS3 PRS4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.. Reliability Scale: ALL VARIABLES Case Processing Summary N Cases. Valid Excludeda Total. % 30. 100.0. 0. .0. 30. 100.0. a. Listwise deletion based on all variables in the procedure.. Reliability Statistics Cronbach's Alpha. N of Items .769. 4. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(29) RELIABILITY /VARIABLES=USE1 USE2 USE3 USE4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.. Reliability Scale: ALL VARIABLES Case Processing Summary N Cases. Valid Excludeda Total. % 30. 100.0. 0. .0. 30. 100.0. a. Listwise deletion based on all variables in the procedure.. Reliability Statistics Cronbach's Alpha. N of Items .836. 4. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(30) RELIABILITY /VARIABLES=STK1 STK2 STK3 STK4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.. Reliability Scale: ALL VARIABLES Case Processing Summary N Cases. Valid Excludeda Total. % 30. 100.0. 0. .0. 30. 100.0. a. Listwise deletion based on all variables in the procedure.. Reliability Statistics Cronbach's Alpha. N of Items .766. 4. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(31) RELIABILITY /VARIABLES=WOM1 WOM2 WOM3 WOM4 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.. Reliability Scale: ALL VARIABLES Case Processing Summary N Cases. Valid Excludeda Total. % 30. 100.0. 0. .0. 30. 100.0. a. Listwise deletion based on all variables in the procedure.. Reliability Statistics Cronbach's Alpha. N of Items .746. 4. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(32) DATE: 7/ 9/2017 TIME: 20:34 L I S R E L. 8.80. BY Karl G. Jöreskog & Dag Sörbom. This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Lincolnwood, IL 60712, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 19812006 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file C:\Users\Lenovo\Desktop\RUNTESTFINAL.spl: Raw Data From File RUNTESTFINAL.psf Observed Variables X1-X11 Y1-Y12 Latent Variables: UBQ INF PRS USE STK WOM Relationship: X1 X2 X3 X4=UBQ X5 X6 X7=INF X8 X9 X10 X11=PRS Y1 Y2 Y3 Y4=USE Y5 Y6 Y7 Y8=STK Y9 Y10 Y11 Y12=WOM Set Set Set Set Set Set. error error error error error error. of of of of of of. X5 X6 X7 Y2 Y3 Y5. to to to to to to. 0.45 0.3 0.45 0.4 0.4 0.4. USE=UBQ INF PRS STK=USE WOM=STK Options:SC Path Diagram End of Problem. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(33) Sample Size =. 138. Covariance Matrix Y1. Y2. Y3. Y4. Y5. --------. --------. --------. --------. --------. Y1 Y2 Y3 Y4 Y5 Y6. 0.96 0.53 0.50 0.45 0.39 0.49. 0.96 0.41 0.36 0.38 0.36. 0.88 0.42 0.35 0.34. 0.84 0.50 0.45. 0.92 0.57. Y7. 0.33. 0.22. 0.24. 0.26. 0.39. Y8. 0.44. 0.34. 0.37. 0.42. 0.57. Y9. 0.37. 0.39. 0.20. 0.30. 0.45. Y10. 0.26. 0.33. 0.24. 0.29. 0.48. Y11. 0.33. 0.32. 0.21. 0.35. 0.43. Y12. 0.26. 0.23. 0.16. 0.32. 0.46. X1. 0.27. 0.22. 0.28. 0.24. 0.43. X2. 0.34. 0.27. 0.28. 0.34. 0.48. X3. 0.36. 0.25. 0.32. 0.33. 0.54. X4. 0.34. 0.32. 0.39. 0.31. 0.43. X5. 0.30. 0.42. 0.28. 0.17. 0.31. X6. 0.42. 0.45. 0.30. 0.34. 0.44. X7. 0.38. 0.26. 0.22. 0.34. 0.39. X8. 0.35. 0.33. 0.20. 0.26. 0.33. X9. 0.38. 0.37. 0.26. 0.38. 0.53. X10. 0.43. 0.40. 0.28. 0.33. 0.39. X11. 0.36. 0.29. 0.34. 0.32. 0.35. Y6 -------. 1.03 0.47 0.76 0.34 0.46 0.42 0.42 0.30 0.40 0.41 0.34 0.29 0.41 0.41 0.27 0.39 0.39 0.33 Covariance Matrix. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. -.

(34) Y7. Y8. Y9. Y10. Y11. --------. --------. --------. --------. --------. Y7 Y8 Y9 Y10 Y11 Y12. 1.38 0.81 0.39 0.36 0.26 0.43. 1.16 0.48 0.54 0.41 0.53. 1.23 0.66 0.50 0.82. 1.05 0.55 0.89. 0.77 0.58. X1. 0.30. 0.36. 0.30. 0.24. 0.26. X2. 0.50. 0.47. 0.27. 0.27. 0.32. X3. 0.34. 0.43. 0.32. 0.33. 0.37. X4. 0.37. 0.49. 0.48. 0.45. 0.29. X5. 0.07. 0.26. 0.31. 0.16. 0.24. X6. 0.34. 0.42. 0.39. 0.21. 0.33. X7. 0.41. 0.42. 0.30. 0.30. 0.26. X8. 0.24. 0.29. 0.48. 0.33. 0.31. X9. 0.35. 0.41. 0.41. 0.31. 0.38. X10. 0.25. 0.37. 0.32. 0.24. 0.23. X11. 0.31. 0.36. 0.29. 0.25. 0.25. X1. X2. X3. X4. X5. --------. --------. --------. --------. --------. X1 X2 X3 X4 X5 X6. 0.73 0.53 0.37 0.34 0.16 0.26. 0.83 0.52 0.41 0.25 0.33. 0.79 0.44 0.28 0.41. 1.15 0.19 0.26. 0.88 0.50. X7. 0.17. 0.28. 0.29. 0.36. 0.30. X8. 0.16. 0.16. 0.22. 0.33. 0.20. X9. 0.27. 0.35. 0.32. 0.38. 0.39. Y12 -. -------. 1.63 0.26 0.27 0.27 0.49 0.08 0.18 0.38 0.52 0.47 0.31 0.32 Covariance Matrix X6 -------. 0.93 0.42 0.32 0.42. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. -.

(35) X10. 0.21. 0.32. 0.37. 0.43. 0.39. X11. 0.23. 0.36. 0.35. 0.39. 0.30. X8 --------. X9 --------. X10 --------. X11 --------. 0.93 0.54 0.61 0.52. 0.94 0.56 0.54. 1.37 0.61. 1.00. 0.43 0.47 Covariance Matrix. X7 X8 X9 X10 X11. X7 -------0.85 0.40 0.45 0.56 0.42. Number of Iterations = 16 LISREL Estimates (Maximum Likelihood) Measurement Equations. Y1 = 0.73*USE, Errorvar.= 0.43 , R² = 0.56 (0.063) 6.80 Y2 = 0.66*USE, Errorvar.= 0.40, R² = 0.52 (0.080) 8.28 Y3 = 0.63*USE, Errorvar.= 0.40, R² = 0.49 (0.078) 8.02 Y4 = 0.62*USE, Errorvar.= 0.46 , R² = 0.46 (0.082) (0.063) 7.58 7.30 Y5 = 0.71*STK, Errorvar.= 0.40, R² = 0.56 Y6 = 0.80*STK, Errorvar.= 0.39 , R² = 0.63 (0.088) (0.061) 9.17 6.38 Y7 = 0.68*STK, Errorvar.= 0.92 , R² = 0.33 (0.10) (0.12) 6.56 7.72. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(36) Y8 = 0.89*STK, Errorvar.= 0.37 , R² = 0.68 (0.093) (0.063) 9.59 5.84 Y9 = 0.78*WOM, Errorvar.= 0.62 , R² = 0.50 (0.088) 7.05 Y10 = 0.87*WOM, Errorvar.= 0.28 , R² = 0.73 (0.099) (0.057) 8.81 4.93 Y11 = 0.64*WOM, Errorvar.= 0.36 , R² = 0.53 (0.083) (0.053) 7.73 6.89 Y12 = 0.98*WOM, Errorvar.= 0.67 , R² = 0.59 (0.12) (0.10) 8.12 6.47. X1 = 0.62*UBQ, Errorvar.= 0.35 , R² = 0.52 (0.067) (0.051) 9.20 6.78 X2 = 0.77*UBQ, Errorvar.= 0.24 , R² = 0.71 (0.068) (0.049) 11.40 4.88 X3 = 0.68*UBQ, Errorvar.= 0.33 , R² = 0.58 (0.069) (0.052) 9.88 6.35 X4 = 0.60*UBQ, Errorvar.= 0.79 , R² = 0.32 (0.090) (0.10) 6.69 7.66 X5 = 0.61*INF, Errorvar.= 0.45, R² = 0.45 (0.072) 8.40 X6 = 0.78*INF, Errorvar.= 0.30, R² = 0.67 (0.069) 11.27 X7 = 0.60*INF, Errorvar.= 0.45, R² = 0.45 (0.072) 8.39 X8 = 0.69*PRS, Errorvar.= 0.46 , R² = 0.51 (0.077) (0.068) 8.99 6.82. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(37) X9 = 0.75*PRS, Errorvar.= 0.37 , R² = 0.61 (0.074) (0.061) 10.14 6.09 X10 = 0.81*PRS, Errorvar.= 0.71 , R² = 0.48 (0.094) (0.10) 8.68 6.97 X11 = 0.75*PRS, Errorvar.= 0.44 , R² = 0.56 (0.078) (0.068) 9.58 6.49. Structural Equations. USE = 0.38*UBQ + 0.41*INF + 0.16*PRS, Errorvar.= 0.30. , R² =. 0.70 (0.10) 3.76. (0.16) 2.62. (0.14) 1.11. (0.082) 3.65. STK = 0.80*USE, Errorvar.= 0.36 , R² = 0.64 (0.11) (0.092) 7.15 3.91 WOM = 0.69*STK, Errorvar.= 0.52 , R² = 0.48 (0.11) (0.13) 6.17 4.07. Reduced Form Equations USE = 0.38*UBQ + 0.41*INF + 0.16*PRS, Errorvar.= 0.30, R² = 0.70 (0.10) 3.76. (0.16) 2.62. (0.14) 1.11. STK = 0.31*UBQ + 0.33*INF + 0.13*PRS, Errorvar.= 0.55, R² = 0.45 (0.085) 3.62. (0.13) 2.57. (0.12) 1.10. WOM = 0.21*UBQ + 0.23*INF + 0.088*PRS, Errorvar.= 0.79, R² = 0.21 (0.064) 3.34. (0.092) 2.47. (0.080) 1.09. Correlation Matrix of Independent Variables UBQ. INF. PRS. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(38) UBQ INF PRS. -------1.00 0.60 (0.08) 8.04 0.57 (0.08) 7.48. --------. --------. 1.00 0.78 (0.06) 13.55. 1.00. Covariance Matrix of Latent Variables USE. STK. WOM. UBQ. INF. --------. --------. --------. --------. --------. 1.00 0.80 0.55 0.72 0.77 0.70. 1.00 0.69 0.58 0.61 0.56. 1.00 0.40 0.42 0.38. 1.00 0.60 0.57. 1.00 0.78. PRS ------USE STK WOM UBQ INF PRS 1.00. -. Goodness of Fit Statistics Degrees of Freedom = 228 Minimum Fit Function Chi-Square = 403.38 (P = 0.00) Normal Theory Weighted Least Squares Chi-Square = 416.42 (P = 0.00) Estimated Non-centrality Parameter (NCP) = 188.42 90 Percent Confidence Interval for NCP = (135.09 ; 249.58) Minimum Fit Function Value = 2.94 Population Discrepancy Function Value (F0) = 1.38 90 Percent Confidence Interval for F0 = (0.99 ; 1.82) Root Mean Square Error of Approximation (RMSEA) = 0.078 90 Percent Confidence Interval for RMSEA = (0.066 ; 0.089) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00014 Expected Cross-Validation Index (ECVI) = 3.74 90 Percent Confidence Interval for ECVI = (3.35 ; 4.19) ECVI for Saturated Model = 4.03 ECVI for Independence Model = 37.23 Chi-Square for Independence Model with 253 Degrees of Freedom = 5054.81 Independence AIC = 5100.81 Model AIC = 512.42 Saturated AIC = 552.00 Independence CAIC = 5191.14 Model CAIC = 700.93. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(39) Saturated CAIC = 1635.92 Normed Fit Index (NFI) = 0.92 Non-Normed Fit Index (NNFI) = 0.96 Parsimony Normed Fit Index (PNFI) = 0.83 Comparative Fit Index (CFI) = 0.96 Incremental Fit Index (IFI) = 0.96 Relative Fit Index (RFI) = 0.91 Critical N (CN) = 96.30. Root Mean Square Residual (RMR) = 0.086 Standardized RMR = 0.088 Goodness of Fit Index (GFI) = 0.80 Adjusted Goodness of Fit Index (AGFI) = 0.76 Parsimony Goodness of Fit Index (PGFI) = 0.66 The Modification Indices Suggest to Add the Path to from Decrease in Chi-Square New Estimate Y5 USE 10.5 0.44 Y11 USE 10.6 0.26 X7 PRS 14.8 0.55 USE STK 23.5 -0.89 STK UBQ 22.8 0.63 The Modification Indices Suggest to Add an Error Covariance Between and Decrease in Chi-Square New Estimate STK USE 23.5 -0.32 Y2 Y2 8.4 0.57 Y8 Y5 8.0 -0.13 Y8 Y7 26.8 0.33 X2 Y7 10.3 0.16 X2 X1 15.9 0.18 X5 Y2 10.2 0.13 X5 Y7 8.7 -0.18 X9 Y5 10.0 0.13. Standardized Solution LAMBDA-Y. Y1 Y2 Y3 Y4 Y5 Y6 Y7. USE -------0.73 0.66 0.63 0.62 - - - -. STK -------- - - - 0.71 0.80 0.68. WOM -------- - - - - - - -. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(40) Y8 Y9 Y10 Y11 Y12. -. -. 0.89 - - - - -. - 0.78 0.87 0.64 0.98. UBQ -------0.62 0.77 0.68 0.60 - - - - - - - -. INF -------- - - - 0.61 0.78 0.60 - - - - -. PRS -------- - - - - - - 0.69 0.75 0.81 0.75. STK -------- - 0.69. WOM -------- - - -. INF -------0.41 - - -. PRS -------0.16 - - -. LAMBDA-X. X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11. BETA. USE STK WOM. USE -------- 0.80 - GAMMA. USE STK WOM. UBQ -------0.38 - - -. Correlation Matrix of ETA and KSI USE. STK. WOM. UBQ. INF. --------. --------. --------. --------. --------. 1.00 0.80 0.55 0.72 0.77 0.70. 1.00 0.69 0.58 0.61 0.56. 1.00 0.40 0.42 0.38. 1.00 0.60 0.57. 1.00 0.78. PRS ------USE STK WOM UBQ INF PRS 1.00. PSI Note: This matrix is diagonal.. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. -.

(41) USE -------0.30. STK -------0.36. WOM -------0.52. Regression Matrix ETA on KSI (Standardized). USE STK WOM. UBQ -------0.38 0.31 0.21. INF -------0.41 0.33 0.23. PRS -------0.16 0.13 0.09. Completely Standardized Solution LAMBDA-Y. Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12. USE -------0.75 0.72 0.70 0.67 - - - - - - - - -. STK -------- - - - 0.75 0.79 0.58 0.83 - - - - -. WOM -------- - - - - - - - 0.71 0.85 0.73 0.77. INF -------- - - - 0.67 0.82 0.67 - - - - -. PRS -------- - - - - - - 0.71 0.78 0.69 0.75. STK --------. WOM --------. LAMBDA-X. X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11. UBQ -------0.72 0.84 0.76 0.56 - - - - - - - BETA USE --------. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(42) USE STK WOM. - 0.80 - -. - - 0.69. - - - -. UBQ -------0.38 - - -. INF -------0.41 - - -. PRS -------0.16 - - -. GAMMA. USE STK WOM. Correlation Matrix of ETA and KSI USE. STK. WOM. UBQ. INF. --------. --------. --------. --------. --------. 1.00 0.80 0.55 0.72 0.77 0.70. 1.00 0.69 0.58 0.61 0.56. 1.00 0.40 0.42 0.38. 1.00 0.60 0.57. 1.00 0.78. PRS ------USE STK WOM UBQ INF PRS 1.00. -. PSI Note: This matrix is diagonal. USE -------0.30. STK -------0.36. WOM -------0.52. Y1. Y2. Y3. Y4. Y5. --------. --------. --------. --------. --------. 0.44. 0.48. 0.51. 0.54. 0.44. Y7. Y8. Y9. Y10. Y11. --------. --------. --------. --------. --------. 0.67. 0.32. 0.50. 0.27. 0.47. THETA-EPS Y6 -. ------0.37 THETA-EPS Y12 ------0.41 THETA-DELTA. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. -.

(43) X1. X2. X3. X4. X5. --------. --------. --------. --------. --------. 0.48. 0.29. 0.42. 0.68. 0.55. X8 -------0.49. X9 -------0.39. X10 -------0.52. X11 -------0.44. X6 ------0.33 THETA-DELTA X7 -------0.55. Regression Matrix ETA on KSI (Standardized). USE STK WOM. UBQ -------0.38 0.31 0.21. INF -------0.41 0.33 0.23. PRS -------0.16 0.13 0.09. Time used:. 0.047 Seconds. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017. -.

(44) Kuesioner Penelitian Pengguna Spotify Yth. Responden, HALO! Saya adalah mahasiswa program studi Manajemen, Universitas Multimedia Nusantara (UMN) dan sedang melakukan penelitian tentang faktor-faktor yang mempengaruhi pengguna aplikasi berbayar Spotify di Indonesia untuk mau merekomendasikan aplikasi berbayar ini kepada orang lain. Partisipasi Anda sebagai responden sangat diperlukan demi mendapatkan hasil yang terbaik untuk penelitian ini. Oleh karena itu, dengan segala hormat, saya meminta bantuan Anda untuk mengisi beberapa pertanyaan berikut. Perlu saya sampaikan bahwa dalam pertanyaan-pertanyaan berikut tidak ada jawaban yang benar ataupun salah sehingga saya mengharapkan Anda untuk mengisi kuesioner ini dengan sejujur-jujurnya dan seobjektif mungkin demi hasil yang kredibel dan maksimal. Seluruh hasil penelitian ini adalah untuk kepentingan akademis dan seluruh informasi yang. Anda berikan akan dirahasiakan. Saya berharap dengan kontribusi Anda sebagai responden dalam penelitian ini dapat memberikan masukan yangvpositif pada Spotify khususnya di Indonesia dan mobile application umumnya dalam bagaimana meningkatkan rekomendasi diantara penggunanya. Atas bantuan dan kerjasama Anda, saya ucapkan Terima Kasih. Afryan Liviano (13130110040) Manajemen 2013. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(45) Bagian I Petunjuk pengisisan: 1. Silahkan memilih jawaban yang menurut Anda paling cocok dan mencerminkan diri Anda dengan memberikan tanda centang  pada kotak yang sudah disediakan. 2. Saudara/I diharuskan untuk menjawab seluruh pertanyaan yang ada dengan sebenarnya dan seobjektif mungkin. 1.. Apakah Anda menggunakan mobile application Spotify untuk mendengarkan lagu?  Ya Jika Ya, maka dari mana Anda mengetahui mobile application Spotify? (Silahkan pilih 1 atau lebih) o Teman o Rekan kerja o Keluarga o Lainnya:_______  Tidak. 2.. Jenis langganan apa yang Anda gunakan pada mobile application Spotify?  Free  Premium  Premium for Student  Premium for Family. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(46) 3.. Berapa lama Anda telah menggunakan mobile application Spotify?  Dibawah 1 bulan  1-2 bulan  2-3 bulan  Diatas 3 bulan. 4.. Usia Anda pada tahun 2017:  Kurang dari 15 tahun  15-20 tahun  21-35 tahun  Lebih 35 tahun. 5.. Jenis kelamin:  Pria  Wanita. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(47) 6.. Mobile application apa yang biasa digunakan untuk mendengarkan lagu di smartphone Anda? (Boleh memilih lebih dari 1)  Saya tidak menggunakan aplikasi untuk mendengar lagu  Spotify  JOOX  Langit Musik  Yonder  iTunes  Youtube  Lainnya:_______. 7.. Berapa hari dalam 1 minggu Anda biasanya mendengarkan lagu via mobile application Spotify?  Dibawah 1 hari  1-2 hari  3-4 hari  Lebih dari 4 hari. 8. Berapa lama Anda biasanya mendengarkan lagu via mobile application Spotify dalam 1 hari? . Dibawah 1 jam. . 1-2 jam. . 3-4 jam. . Lebih dari 4 jam. Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.

(48) 9. Apakah Anda mencari informasi tentang lagu baru / lagu trending / lagu yang sesuai selera Anda melalui mobile application Spotify?  Ya  Tidak 10. Apa profesi Anda: (Silahkan pilih 1 atau lebih)  Pelajar/mahasiswa  Ibu rumah tangga  Karyawan swasta  Wirausaha  Lainnya: _______ 11. Silahkan mengisi alamat email Anda:____________________________ (Alamat email adalah untuk undian terhadap 3 partisipan pemenang dengan hadiah berupa langganan Spotify Premium selama 3 bulan bagi pemenang pertama, langganan Spotify Premiun selama 2 bulan bagi pemenang kedua, dan langganan Spotify Premium selama 1 bulan bagi pemenang ketiga dan berlaku untuk seluruh responden yang telah berpartisipasi dengan mengisi kuesioner dalam penelitian ini dan pemenang akan dihubungin via email). Analisis Pengaruh Faktor..., Afryan Liviano, FB UMN, 2017.



(51)