Analysis of Factors Affecting Behavioral Intention to Use E-Learning Uses the Unified Theory of Acceptance and Use of Technology Approach
Abstract
The purpose of this study isto analyze the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creadibility, and anxiety on e-learning behavioral intention to use who are moderated by experience and voluntariness of use.The study population was 215 students who used e-learning in the Accounting Department of SMK N 1 Karanganyar. The sample selection using Slovin method with an error rate of 5% and sampling area technique obtained by respondents as many as 140 students. The technique of collecting data using a questionnaire. Data analysis techniques used descriptive statistical analysis and SEM-PLS. Data analysis tool using WarpPLS 5.0.The results of the descriptive statistical analysis show that the behavioral intention to use e-learning, performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creativity, anxiety, experience and voluntariness of use are in the sufficient category. Hypothesis test results show the influence of performance expectancy on e-learning behavioral intention to use, effort expectancy does not affect the behavioral e-learning intention to use, social influence has an effect on behavioral e-learning intention to use, facilitating conditions have no effect on behavioral intention to Using e-learning, perceived creativity does not affect e-learning behavior, anxiety influences the behavioral intention to use e-learning, voluntary moderating negative social influences the behavioral e-learning intention to use, experience moderates the effect of effort expectancy on The behavior of e-learning intention to use, experience does not moderate the influence of social influence on the behavioral e-learning intention to use, experience does not moderate the effect of facilitating conditions on e-learning behavioral intention to use e-learning the conclusion of this study states that of the ten hypotheses proposed there are five types of hypotheses accepted.
Keywords: E-learning, Behavioral Intention, UTAUT.
References
[1] Abdekhoda, M., Dehnad, A., Javad, S., & Mirsaeed, G. (2016). Factors influencing the adoption of E- learning in Tabriz University of Medical Sciences. Medical Journal of the Islamic Republic of Iran, 30, 457.
[2] Agustin, H., & Mulyani, E. (2016). Studi Empiris Penerimaan dan Penggunaan E-Learning System di Kalangan Mahasiswa Akuntansi Fakultas Ekonomi UNP. In Seminar Nasional Aplikasi Teknologi Informasi (SNATI).
[3] Ajzen, I. 1991. The Theory of Planned Behavior Organizational Behavior and Human Decision Processes. New York: Academic Press. Vol. 50, no 2.
[4] Ari & Mayurina. (2018). Pengaruh Penerapan Model UTAUT terhadap Perilaku Pengguna Sistem E- learning Di Amik Logika. Jurnal Manajemen Informatika. Medan: AMIK Logika Medan.
[5] Awwad, M. S., & Al-Majali, S. M. (2015). Electronic library services acceptance and use: An empirical validation of unified theory of acceptance and use of technology. The Electronic Library, 33(6), 1100– 1120. https://doi.org/10.1108/EL-03-2014-0057.
[6] Butarbutar, F. Y. haryanto. (2017). Kajian Signifikansi Faktor Yang Mempengaruhi Penggunaan E- Learning Pada Siswa SMK Global Informatika Tangerang. Jurnal Resti, 1(1), 9–18. (23:2). 145-158.
[7] Davis, M., Morris, Hall, M. G., Davis, G. B., Walton, F. D., & M, S. (2003). User Acceptance Of Information Technology: Toward A Unified View 1, 27(3), 425–478. Effendi, M. (2016). Integrasi Pembelajaran Active Learning dan Internet-Based Learning dalam Meningkatkan Keaktifan dan Kreativitas Belajar. Nadwa: Jurnal Pendidikan Islam, 7(2), 283-309.
[8] Destaningrum, D., & Wardani, N. H. (2018). Analisis Faktor Penerimaan Pengguna E-Learning SMA Negeri di Kota Blitar Menggunakan Model Unified Theory of Acceptance and Use of Technology (UTAUT), 2(2). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2(2).
[9] Effendi, M. (2016). Integrasi Pembelajaran Active Learning dan Internet-Based Learning dalam Meningkatkan Keaktifan dan Kreativitas Belajar. Nadwa: Jurnal Pendidikan Islam, 7(2), 283–309.
[10] Gupta, B., Das Gupta, S., and Gupta, A. (2008). “Adoption of ICT in a Goverment Organization in a Developing Country: An Empirical Study,” Jurnal of Startagice Information System (17:2).
[11] Jewardene U. P, Azam. S. M. F, & Khatibi. 2018. Students’ Acceptance of Online Courses and Perceived Risk: A Study of UTAUT in the Sri Lankan State Universities. Malaysia: International Journal of Advances in Scientific Research and Engineering 4(1).
[12] http://dx.doi.org/10.7324/IJASRE.2018.32581.
[13] Kocaleva, M., Stojanovic, I., & Zdravev, Z. (2015). Model of e-learning acceptance and use for teaching staff in Higher Education Institutions. International Journal of Modern Education and Computer Science, 7(4), 23.
[14] Liu, M & Zhang, X. (2014). Computer Internet Use Intention Among Cginese Older Adults: Two Study. Information Technology Journal.
[15] Muhsin, Thomas, P., & Nurkhin, A. (2016). Intention to use E-Journal; A Unified Theory of Acceptance and use of Technology Perspective. IOSR Journal of Research & Method in Education (IOSR-JRME), 6(4), 100–106. https://doi.org/10.9790/7388-060404100106.
[16] Muzid, S., & Munir, M. (2005). Persepsi Mahasiswa dalam Penerapan E-Learning Sebagai Aplikasi Peningkatan Kualitas Pendidikan (Studi Kasus Pada Universitas Islam Indonesia). In Seminar Nasional Aplikasi Teknologi Informasi (SNATI).
[17] Nair, P. K., Ali, F., & Leong, L. C. (2015). Factors affecting acceptance & use of ReWIND: Validating the extended unified theory of acceptance and use of technology. Interactive Technology and Smart Education, 12(3), 183–201. https://doi.org/10.1108/ITSE-02-2015-0001
[18] Nasir, M. (2013). Evaluasi penerimaan teknologi informasi mahasiswa di Palembang menggunakan model UTAUT. In Seminar Nasional Aplikasi Teknologi Informasi (SNATI) (Vol. 1).
[19] Nyoman, I. G., & Wisnu, S. (2009). Penerapan Model UTAUT Untuk Memahami Penerimaan Dan Penggunaan Learning Management System Studi Kasus: Experential E-Learning Of Sanata Dharma University. Journal of Information Systems, 5, 114–120.
[20] Prakasa, S. A. (2016). Penggunaan Teori Utaut Guna Memahami Penerimaan Dan Pengimplementasian Idea Sebagai Learning Management System Final Project Journal, 3(3), 5280–5285.
[21] Rikza, M., & Arief, L. (2014). Analisis dan Evaluasi Hubungan antar Variabel dari Model UTAUT terhadap Penerapan KTP Elektronik dengan Menggunakan Regresi Berganda (Studi Kasus Kota Tangerang Selatan). Jakkarta: Jurnal Sistem Informasi UIN Syarif Hidayatullah.
[22] Sedana, I. G. N. (2010). UTAUT Model for Understanding Learning Management System. Internetworking Indonesia Journal, 2(2), 27–32.
[23] Sharma, A. K. (2012). User Acceptance of Desktop Based Computer Software Using UTAUT Model and addition of New Moderators, 3(10), 509–515.
[24] Sutanto. (2018). Faktor-Faktor Yang Mempengaruhi Penerimaan Dan Penggunaan Sistem Informasi Pengelolaan Keuangan Daerah (Sipkd) Dalam Perspektif UTAUT 2 di Kabupaten Semarang. Jurnal Akuntansi dan Auditing.
[25] Venkatesh, V. (2012). Consumer Acceptance And Use Of Information Technology: Extending The Unified Theory, 36(1), 157–178.