Pengaruh Kepuasan Pengguna Sistem Terhadap Kinerja Pembelajaran Daring Dengan Biaya Sebagai Moderasi

Raymundo Patria Hayu Sasmita; Ignatius Novianto Hariwibowo

doi:10.25273/inventory.v5i1.7408

Pengaruh Kepuasan Pengguna Sistem Terhadap Kinerja Pembelajaran Daring Dengan Biaya Sebagai Moderasi

Raymundo Patria Hayu Sasmita, Ignatius Novianto Hariwibowo

Abstract

Wabah covid-19 telah memaksa pendidikan di Indonesia untuk menerapkan sistem pembelajaran daring. Perubahan ini menimbulkan fenomena keluhan masyarakat terhadap besarnya biaya belajar daring. Hal ini menimbulkan ketidakpuasan masyarakat terhadap sistem belajar daring. Oleh karena itu, penelitian ini dilakukan untuk menguji faktor yang mempengaruhi kinerja pembelajaran dalam sistem pembelajaran daring dengan biaya sebagai moderasi. Penelitian ini mengembangkan kepuasan pengguna sistem sebagai variabel mediasi dan pembelajaran, sistem, pengajar sebagai variabel independen. Penelitian dilakukan pada mahasiswa akuntansi yang sedang mengambil mata kuliah Sistem Informasi Akuntansi dan Analisa Perancangan Sistem. Data diperoleh dengan mendistribusikan kuesioner secara daring kepada 185 mahasiswa. Data yang diperoleh di oleh menggunakan pendekatan Partial Least Square (PLS), dengan menggunakan software WarpPLS 6.0. Hasil penelitian ini menunjukkan bahwa proses pembelajaran yang jelas dan sistematis akan meningkatkan kepuasan pengguna dan berdampak pada kinerja pembelajaran yang baik. Sedangkan, besarnya biaya belajar daring tidak mempengaruhi kinerja pembelajaran.

Keywords

Pembelajaran daring, sistem, biaya, pembelajaran

Full Text:

PDF

References

Burgstahler, S. (1997). Teaching on the Net: What’s the difference? T.H.E. Journal, 24(9), 61-64.

Bokhari, R.H. (2001). User participation and user satisfaction in information systems development. Doctoral dissertation, Brunel University, School of Information Systems, Computing and Mathematics.

Chien, T.C. (2012). Computer self-efficacy and factors influencing e-learning effectiveness. European Journal of Training and Development, 36(7), 670-686.

Chiu, C.M., Chiu, C.S., & Chang, H.C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and web-based learning continuance intention. Information Systems Journal, 17(3), 271-287.

Chopra, G., Madan, P., Jaisingh, P., & Bhaskar, P. (2019). Effectiveness of e-learning portal from students’ perspective A structural equation model (SEM) approach. Interactive Technology and Smart Education, 16(2), 94-116.

Dada, E. G., Alkali, A. H., & Oyewola, D. O. (2019). An Investigation into the Effectiveness of Asynchronous and Synchronous E-learning Mode on Students’ Academic Performance in National Open University (NOUN), Maiduguri Centre. Internasional Journal Modern Education and Computer Science, 5, 54-64.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9- 30.

Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2010). IS success model in e-learning context based on students’ perceptions. Journal of Information Systems Education, 21(2), 173.

Heo, G. (2014). A study on the structural equation modeling for the effect of e-Learning. Journal of Internet Computing and Services, 15(6), 77-84.

Jang, E., Seo, Y., & Cheong, H. (2010). The effects on course satisfaction, effectiveness awareness, and importance awareness from e-learning contents’ construct factors based on demographic factors of cyber university students. Journal of Educational Technology, 20(1), 57-85.

Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741-755.

Kim, H. (2011). The structural relationship between presence and the effectiveness of e- Learning in the corporate setting. (Doctoral dissertation, University of Konkuk). Retrieved from http://www.riss.kr/link?id=T11551220

Kincl, T., & Štrach, P. (2012). Measuring website quality: asymmetric effect of user satisfaction. Behaviour & Information Technology, 31(7), 647-657.

Kwon, Y. A., & Noh, Y. (2015). A Study on Evaluating Learning Effects Based on Analysis of Satisfaction in E-learning. International Journal of Knowledge Content Development & Technology, 5(2), 103-122.

Lee, O., Kim, B., & Kim, T. (2010). The effect of computer-related characteristics on University Students' Achievement in e-Learning Courses. Journal of Korean Association for learner-centered Curriculum and instruction, 11(2), 23-44.

Liaw, S. S., & Huang, H. M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers and Education, 60(1), 14-24.

Lin, T. C., & Chen, C. J. (2012). Validating the satisfaction and continuance intention of e- learning systems: combining TAM and IS success models. International Journal of Distance Education Technologies (IJDET), 10(1), 44-54.

Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: a contingency framework based on models of information system success and task-technology fit. Computers and Education, 58(1), 88-99.

Lim, B., & Lim, J. (2004). Status and activation method of e-learning a Higher Education. Journal of Korea multimedia Society, 8(3), 16-30.

Martinez-Caro, E. (2011). Factors affecting effectiveness in e-learning: An analysis in production management courses. Computer Applications in Engineering Education, 19(3), 572-581.

Moon, S., & Nam, S. (2007). A Study on the Educational Effectiveness of e-Learning. The Journal of the Korea Contents Association, 7(1), 161-168.

Park, H., & Choi, M. (2008). Relationships Between e-learning Effectiveness and Its Related Factors in Higher Education. Journal of Educational Technology, 24(1), 27-53.

Reynolds, P. (2012), UDENTE (Universal dental E-Learning) a golden opportunity for dental education. Bulletin du Groupement International Pour la RechercheScientifique en Stomatologieet Odontologie, 50(3), 11-19.

Samarasinghe, S. M. (2012), “e-Learning systems success in an organisational context: a thesis presented in partial fulfilment of the requirements for the degree of doctor of philosophy in management information systems at Massey university, Palmerston North, New Zealand”, Doctoral dissertation, Massey University.

Shneiderman, B. (2010). Designing the User Interface: strategies for Effective Human- computer Interaction, Pearson Education India, Delhi.

Simonson, M., Smaldino, S., Albright, M., and Zvacek, S. (2012). Teaching and learning at a distance: Foundations of distance education. (5th ed.). Boston: Pearson.

Singh, K. P., & Chander, H. (2013). Professional inclination of library and information science (LIS) students of India. International Journal of Knowledge Content Development & Technology, 3(2), 5-27.

Solihin, M., & Ratmono, D. (2013). Analisis SEM-PLS dengan WarpPLS 3.0 Untuk Hubungan Nonlinier Dalam Penelitian Sosial dan Bisnis. Andi Publisher, Yogyakarta, Indonesia.

Somers, T. M., Nelson, K. & Karimi, J. (2003). Confirmatory factor analysis of the end-user computing satisfaction instrument: replication within an ERP domain. Decision Sciences, 34(3), 595-621.

Tseng, M. L., Lin, R. J., & Chen, H. P. (2011). Evaluating the effectiveness of e-learning system in uncertainty. Industrial Management and Data Systems, 111(6), 869-889.

Verdegem, P. & Verleye, G. (2009). User-centered E-Government in practice: a comprehensive model for measuring user satisfaction, Government Information Quarterly, 26(3), 487-497.

Wei, C., Chen, N., & Kinshuk. (2012). A model for social presence in online classrooms. Educational Technology, Research and Development, 60(3), 529-545.

www.rmoljateng.com. (2020). Anggota Dewan Turun Reses, Masyarakat Curhat Biaya Internet Besar Karena Sekolah Online.

https://www.rmoljateng.com/read/2020/08/05/29233/Anggota-Dewan-Turun-Reses,- Masyarakat-Curhat-Biaya-Internet-Besar-Karena-Sekolah-Online-. diakses 6/8/2020

Yoon, S. (2011). Verification of the predictibility of learner’s motivation, teaching presence, learning flow on learning outcome in cyber university. Asian Journal of Education, 12(1). 141-166.

Zviran, M., Pliskin, N. & Levin, R. (2005). Measuring user satisfaction and perceived usefulness in the ERP context. Journal of Computer Information Systems, 45(3), 43-52.