Intention to Use e-Learning: Aplikasi Technology Acceptance Model (TAM)
DOI:
10.33395/owner.v3i2.151Keywords:
actual usage, e-learning, TAM, perceived ease of use, perceived usefulness, self-efficacy, self efficacy, technology acceptance modelAbstract
Tujuan dari penelitian ini adalah untuk menguji pengaruh perceived usefulness dan perceived ease of use terhadap kecenderungan perilaku untuk menggunakan e-Learning pada mahasiswa/i di Universitas Airlangga Surabaya. Populasi dan sampel yang digunakan adalah mahasiswa/i Universitas Airlangga yang menerapkan pembelajaran berbasis elektronik. Data yang digunakan sebanyak 135 kuesioner. Teknik analisis data menggunakan teknik analisis regresi linier berganda dengan program SPSS. Hasil uji reliabilitas menunjukkan bahwa keseluruhan variabel adalah reliabel, dimana nilai cronbach alpha setiap variabel > 0,7 (PU= 0,756; PEU=0,837; ITU=0,724). Hasil dari penelitian ini menunjukkan bahwa perceived usefulness dan perceived ease of use memiliki pengaruh terhadap intention to use. Keterbatasan dalam penelitian ini yaitu hanya dilakukan di satu universitas saja. Selain itu, data dari hasil kuesioner bisa jadi memberikan hasil yang bias. Dengan jenis penelitian yang sama, penelitian selanjutnya dapat menambahkan beberapa variabel lain yang terkait dalam penelitian.
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References
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Al-Azawei, A., Parslow, P., & Lundqvist, K. (2017). Investigating the Effect of Learning Styles in a Blended e-Learning System: An Extension of the Technology Acceptance Model (TAM). Australasian Journal of Educational Technology, 33(2). doi: 10.14742/ajet.2758
Baleghi-Zadeh, S., Ayub, A. F. M., Mahmud, R., & Daud, S. M. (2017). The Influence of System Interactivity and Technical Support on Learning Management System Utilization. Knowledge Management & E-Learning: An International Journal, 9(1), 50-68.
Chao, R.-J., & Chen, Y.-H. (2009). Evaluation of The Criteria and Effectiveness of Distance e-Learning with Consistent Fuzzy Preference Relations. Expert Systems with Applications, 36(7), 10657-10662. doi: https://doi.org/10.1016/j.eswa.2009.02.047
Wu, W.-H., Jim Wu, Y.-C., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of Trends from Mobile Learning Studies: A Meta-Analysis. Computers & Education, 59(2), 817-827. doi: https://doi.org/10.1016/j.compedu.2012.03.016
Ho, C.-L., & Dzeng, R.-J. (2010). Construction Safety Training Via e-Learning: Learning Effectiveness and User Satisfaction. Computers & Education, 55(2), 858-867. doi: https://doi.org/10.1016/j.compedu.2010.03.017
Å umak, B., HeriÄko, M., PuÅ¡nik, M., & PolanÄiÄ, G. (2011). Factors Affecting Acceptance and Use of Moodle: An Empirical Study Based on TAM. Informatica, 35(1), 91-100.
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Chen, S.-C., Li, S.-H., & Li, C.-Y. (2011). Recent Related Research in Technology Acceptance Model: A Literature Review. Australian Journal of Business and Management Research, 1(9), 124-127.
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Szajna, B. (1996). Empirical Evaluation of the Revised Technology Acceptance Model. Management Science, 42(1), 85-92.
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Alomary, A., & Woollard, J. (2015, 21st November 2015). How is Technology Accepted by Users? A Review of Technology Acceptance Models and Theories. Paper presented at the Proceedings of The IRES 17th International Conference, London, United Kingdom.
Surendran, P. (2013). Technology Acceptance Model: A Survey of Literature. International Journal of Business and Social Research, 2(4), 4. doi: 10.18533/ijbsr.v2i4.161
Sung Youl, P. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Journal of Educational Technology & Society, 12(3), 150-162.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. doi: 10.1111/j.1540-5915.2008.00192.x
Md Johar, M. G., & Akmar Ahmad Awalluddin, J. (2011). The Role of Technology Acceptance Model in Explaining Effect on E-Commerce Application System. International Journal of Managing Information Technology (IJMIT), 3(3), 1-14. doi: 10.5121/ijmit.2011.3301
Harris, I. (2017). Analisis Technology Acceptance Model (TAM) terhadap Tingkat Penelrimaan e-Learning pada Kalangan Mahasiswa (Studi Empiris pada Universitas Internasional Batam dan UPBJJ-UT Batam). Jurnal Terapan Manajemen dan Bisnis, 3(1), 1-20.
Tao, D. (2009). Intention to Use and Actual Use of Electronic Information Resources: Further Exploring Technology Acceptance Model (TAM). Paper presented at the AMIA Annual Symposium proceedings.
Priyadi, I. P., Nugraha, H. C., Ratih, C. K., Nugroho, H. A., Karyana, N, R. R., . . . SEAMOLEC, T. (2013). Simulasi Digital (1 ed.). Jakarta: Kementrian Pendidikan & Kebudayaan.
Kusmana, A. (2017). E-learning dalam Pembelajaran. Lentera Pendidikan: Jurnal Ilmu Tarbiyah dan Keguruan, 14(1), 35-51. doi: https://doi.org/10.24252/lp.2011v14n1a3
Fadare, O. (2015). A Survey on Perceived Risk and Intention of Adopting Internet Banking. The Journal of Internet Banking and Commerce, 21(1), 1-21.
Barhoumi, C. (2016). User Acceptance of the e-Information Service as Information Resource: A New Extension of the Technology Acceptance Model. New Library World, 117(9/10), 626-643. doi: 10.1108/NLW-06-2016-0045
Khan, A., Professor, A., & Woosley, J. (2019). Comparison of Contemporary Technology Acceptance Models and Evaluation of the Best Fit for Health Industry Organizations. IJCSET, 1(1), 709-717.
Venkatesh, V., & Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test*. Decision Sciences, 27(3), 451-481. doi: 10.1111/j.1540-5915.1996.tb00860.x
Wang, Q. (2009). Design and Evaluation of a Collaborative Learning Environment. Computers & Education, 53(4), 1138-1146. doi: 10.1016/j.compedu.2009.05.023
Nunnally, J. C. (1978). Psychometric Theory (2 ed.). New York, NY: McGraw-Hill.
Handayani, W. P. P., & Harsono, M. (2016). Aplikasi Technology Acceptance Model (Tam) Pada Komputerisasi Kegiatan Pertanahan. Jurnal Economia, 12(1), 13-22.
Nursiah, N. (2018). Pengaruh Perceived Ease of Use Dan Perceived Usefulness Terhadap Behavior Intention To Use. Jurnal Elektronik Sistem Informasi dan Komputer, 3(2), 39-47.
Ducey, A. J., & Coovert, M. D. (2016). Predicting Tablet Computer Use: An Extended Technology Acceptance Model for Physicians. Health Policy and Technology, 5(3), 268-284. doi: https://doi.org/10.1016/j.hlpt.2016.03.010
Folden, R. W. (2012). General Perspective in Learning Management SystemsHigher Education Institutions and Learning Management Systems: Adoption and Standardization (pp. 1-27): IGI Global. doi: 10.4018/978-1-60960-884-2.ch001
Hussein, Z. (2017). Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in e-Learning. Procedia Computer Science, 105, 159-164. doi: https://doi.org/10.1016/j.procs.2017.01.196
Al-Azawei, A., Parslow, P., & Lundqvist, K. (2017). Investigating the Effect of Learning Styles in a Blended e-Learning System: An Extension of the Technology Acceptance Model (TAM). Australasian Journal of Educational Technology, 33(2). doi: 10.14742/ajet.2758
Baleghi-Zadeh, S., Ayub, A. F. M., Mahmud, R., & Daud, S. M. (2017). The Influence of System Interactivity and Technical Support on Learning Management System Utilization. Knowledge Management & E-Learning: An International Journal, 9(1), 50-68.
Chao, R.-J., & Chen, Y.-H. (2009). Evaluation of The Criteria and Effectiveness of Distance e-Learning with Consistent Fuzzy Preference Relations. Expert Systems with Applications, 36(7), 10657-10662. doi: https://doi.org/10.1016/j.eswa.2009.02.047
Wu, W.-H., Jim Wu, Y.-C., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of Trends from Mobile Learning Studies: A Meta-Analysis. Computers & Education, 59(2), 817-827. doi: https://doi.org/10.1016/j.compedu.2012.03.016
Ho, C.-L., & Dzeng, R.-J. (2010). Construction Safety Training Via e-Learning: Learning Effectiveness and User Satisfaction. Computers & Education, 55(2), 858-867. doi: https://doi.org/10.1016/j.compedu.2010.03.017
Å umak, B., HeriÄko, M., PuÅ¡nik, M., & PolanÄiÄ, G. (2011). Factors Affecting Acceptance and Use of Moodle: An Empirical Study Based on TAM. Informatica, 35(1), 91-100.
Chuttur, M. (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Sprouts: Working Papers on Information Systems, 9(37), 1-21.
Davis, F. D. (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. (Ph.D in Management Disertation), Massachusetts Institute of Technology, Sloan School of Management.
Chen, S.-C., Li, S.-H., & Li, C.-Y. (2011). Recent Related Research in Technology Acceptance Model: A Literature Review. Australian Journal of Business and Management Research, 1(9), 124-127.
Venkatesh, V., & Morris, M. G. (2000). Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24(1), 115-139. doi: 10.2307/3250981
Chang, I. C., Li, Y.-C., Hung, W.-F., & Hwang, H.-G. (2005). An Empirical Study on the Impact of Quality Antecedents on Tax Payers' Acceptance of Internet Tax-Filing Systems. Government Information Quarterly, 22(3), 389-410. doi: https://doi.org/10.1016/j.giq.2005.05.002
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008
Szajna, B. (1996). Empirical Evaluation of the Revised Technology Acceptance Model. Management Science, 42(1), 85-92.
Jogiyanto, H. M. (2008). Metode Penelitian Sistem Informasi (1 ed.). Yogyakarta: Penerbit Andi.
Alomary, A., & Woollard, J. (2015, 21st November 2015). How is Technology Accepted by Users? A Review of Technology Acceptance Models and Theories. Paper presented at the Proceedings of The IRES 17th International Conference, London, United Kingdom.
Surendran, P. (2013). Technology Acceptance Model: A Survey of Literature. International Journal of Business and Social Research, 2(4), 4. doi: 10.18533/ijbsr.v2i4.161
Sung Youl, P. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Journal of Educational Technology & Society, 12(3), 150-162.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. doi: 10.1111/j.1540-5915.2008.00192.x
Md Johar, M. G., & Akmar Ahmad Awalluddin, J. (2011). The Role of Technology Acceptance Model in Explaining Effect on E-Commerce Application System. International Journal of Managing Information Technology (IJMIT), 3(3), 1-14. doi: 10.5121/ijmit.2011.3301
Harris, I. (2017). Analisis Technology Acceptance Model (TAM) terhadap Tingkat Penelrimaan e-Learning pada Kalangan Mahasiswa (Studi Empiris pada Universitas Internasional Batam dan UPBJJ-UT Batam). Jurnal Terapan Manajemen dan Bisnis, 3(1), 1-20.
Tao, D. (2009). Intention to Use and Actual Use of Electronic Information Resources: Further Exploring Technology Acceptance Model (TAM). Paper presented at the AMIA Annual Symposium proceedings.
Priyadi, I. P., Nugraha, H. C., Ratih, C. K., Nugroho, H. A., Karyana, N, R. R., . . . SEAMOLEC, T. (2013). Simulasi Digital (1 ed.). Jakarta: Kementrian Pendidikan & Kebudayaan.
Kusmana, A. (2017). E-learning dalam Pembelajaran. Lentera Pendidikan: Jurnal Ilmu Tarbiyah dan Keguruan, 14(1), 35-51. doi: https://doi.org/10.24252/lp.2011v14n1a3
Fadare, O. (2015). A Survey on Perceived Risk and Intention of Adopting Internet Banking. The Journal of Internet Banking and Commerce, 21(1), 1-21.
Barhoumi, C. (2016). User Acceptance of the e-Information Service as Information Resource: A New Extension of the Technology Acceptance Model. New Library World, 117(9/10), 626-643. doi: 10.1108/NLW-06-2016-0045
Khan, A., Professor, A., & Woosley, J. (2019). Comparison of Contemporary Technology Acceptance Models and Evaluation of the Best Fit for Health Industry Organizations. IJCSET, 1(1), 709-717.
Venkatesh, V., & Davis, F. D. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test*. Decision Sciences, 27(3), 451-481. doi: 10.1111/j.1540-5915.1996.tb00860.x
Wang, Q. (2009). Design and Evaluation of a Collaborative Learning Environment. Computers & Education, 53(4), 1138-1146. doi: 10.1016/j.compedu.2009.05.023
Nunnally, J. C. (1978). Psychometric Theory (2 ed.). New York, NY: McGraw-Hill.
Handayani, W. P. P., & Harsono, M. (2016). Aplikasi Technology Acceptance Model (Tam) Pada Komputerisasi Kegiatan Pertanahan. Jurnal Economia, 12(1), 13-22.
Nursiah, N. (2018). Pengaruh Perceived Ease of Use Dan Perceived Usefulness Terhadap Behavior Intention To Use. Jurnal Elektronik Sistem Informasi dan Komputer, 3(2), 39-47.
Ducey, A. J., & Coovert, M. D. (2016). Predicting Tablet Computer Use: An Extended Technology Acceptance Model for Physicians. Health Policy and Technology, 5(3), 268-284. doi: https://doi.org/10.1016/j.hlpt.2016.03.010
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Published
2019-07-31
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Rahmawati, R. N., & Narsa, I. M. (2019). Intention to Use e-Learning: Aplikasi Technology Acceptance Model (TAM). Owner : Riset Dan Jurnal Akuntansi, 3(2), 260-269. https://doi.org/10.33395/owner.v3i2.151
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Copyright (c) 2019 Riski Nurida Rahmawati, I Made Narsa
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