Analisis Penggunaan Teknologi E-Learning Menggunakan Technology Acceptance Model (TAM) pada Mahasiswa Perguruan Tinggi Swasta
DOI:
https://doi.org/10.47065/bulletincsr.v6i1.914Keywords:
Online Learning System; Digital Transformation of Higher Education; Perceived Ease of Use; Perceived Usefulness; Behavioral Intention to UseAbstract
This research is motivated by the increasing use of e-learning systems in Indonesian universities post-COVID-19 pandemic, which has accelerated digital transformation in the learning process. Although the implementation of e-learning is becoming increasingly widespread, students' acceptance levels of the system still vary and are influenced by their perceptions of ease of use and perceived benefits. Therefore, this study aims to analyze student acceptance of the e-learning system using the Technology Acceptance Model (TAM) approach, focusing on the influence of Perceived Ease of Use (PEOU) on Perceived Usefulness (PU), as well as the influence of PEOU and PU on Behavioral Intention to Use (BIU). This research uses a quantitative approach with an associative-causal design. The research respondents were 100 active students who had used the e-learning system for at least one semester, selected thru purposive sampling. Data was collected online using a closed questionnaire and analyzed using simple linear regression and multiple linear regression techniques. The research findings indicate that PEOU has a positive and significant effect on PU. Furthermore, PEOU is also proven to have a positive and significant effect on BIU, while PU does not show a significant effect on BIU. These findings suggest that the ease of use of the e-learning system is the dominant factor in shaping students' interest in using e-learning continuously. The results of this research are expected to contribute theoretically to the development of technology acceptance studies in higher education and serve as a basis for practical recommendations for universities in designing and managing more effective, adaptive, and user-needs-oriented e-learning systems.
Downloads
References
A. Kumar et al., “E-Learning Model based on Teaching and Learning Process,” Int. J. Innov. Res. Adv. Eng., vol. 11, no. 02, pp. 93–101, Feb. 2024, doi: 10.26562/ijirae.2024.v1102.06.
R. Mohan and H. Sharma, “The Role of E-Learning, It’s Advantages And Disadvantages of Adoption In Higher-Education,” J. Technol. Manag. Grow. Econ., vol. 12, no. 2, pp. 47–56, Oct. 2021, doi: 10.15415/jtmge.2021.122006.
D. Wiryany, S. Natasha, and R. Kurniawan, “Perkembangan Teknologi Informasi dan Komunikasi terhadap Perubahan Sistem Komunikasi Indonesia,” J. Nomosleca, vol. 8, no. 2, pp. 242–252, Nov. 2022, doi: 10.26905/nomosleca.v8i2.8821.
Astari and D. Yulianto, “A Bridging the Digital Divide in Education: Disparities in Google Classroom Utilization and Technical Challenges among Urban and Rural Teachers,” J. Educ. Technol., vol. 9, no. 2, pp. 258–270, May 2025, doi: 10.23887/jet.v9i2.92897.
M. Al Hafidz, “Acceptance of e-Learning Applications at Indonesian Universities Using the Extended Technology Acceptance Model,” SISTEMASI, vol. 11, no. 2, p. 526, May 2022, doi: 10.32520/stmsi.v11i2.1993.
A. T. Sasongko, M. Ekhsan, and M. Fatchan, “Dataset on technology acceptance in E-learning: A PLS-SEM analysis using extended TAM among undergraduate students in Indonesia,” Telemat. Informatics Reports, vol. 18, p. 100192, Jun. 2025, doi: 10.1016/j.teler.2025.100192.
R. Sefriani, Zefriyenni, and Rina Sepriana, “Technology Acceptance Model: the use of E-Study Aplications in E-Learning,” J. Educ. Technol., vol. 6, no. 4, pp. 704–710, Dec. 2022, doi: 10.23887/jet.v6i4.45457.
P. P. Rahmi, “KEPUASAN PENGGUNA ATAS LAYANAN WEBSITE DITINJAU DARI ASPEK DESAIN WEB DAN KUALITAS INFORMASI PADA WEBSITE,” JURISMA J. Ris. Bisnis Manaj., vol. 11, no. 2, pp. 225–238, Oct. 2021, doi: 10.34010/jurisma.v11i2.4425.
G. F. Alam, A. Imron, I. Arifin, J. Juharyanto, and M. Z. Bin Zubairi, “Optimizing the Digital Learning Experience: A Behavioral Model of Distance Student Engagement with the Learning Management System,” J. Pendidik. Hum., vol. 11, no. 3, p. 187, Sep. 2023, doi: 10.17977/um011v11i32023p187-195.
T. Romadon and M. M. Ali, “PENGARUH KUALITAS PRODUK DAN KUALITAS PELAYANAN TERHADAP KEPUASAN PENGGUNA SISTEM E-LEARNING DI UNIVERSITAS MERCU BUANA,” J. Saintifik (Multi Sci. Journal), vol. 19, no. 1, pp. 11–24, Oct. 2022, doi: 10.58222/js.v19i1.79.
N. N. Mohd Zaid et al., “Elderly and their barriers to accepting and learning to use technology: A scoping review,” Masyarakat, Kebud. dan Polit., vol. 36, no. 1, pp. 1–17, Feb. 2023, doi: 10.20473/mkp.V36I12023.1-17.
Camelia Ronika Augustin I and Ferry Kosadi, “Pengaruh Pemahaman Akuntansi, Sosialisasi SAK EMKM Dan Pemanfaatan Teknologi Informasi Terhadap Penerapan SAK EMKM Pada UMKM Yang Terdaftar Di Kecamatan Lengkong Kota Bandung,” JEMSI (Jurnal Ekon. Manajemen, dan Akuntansi), vol. 10, no. 3, pp. 2154–2164, Jun. 2024, doi: 10.35870/jemsi.v10i3.2530.
I. S. Putra, B. Triatmanto, and D. Zuhro, “The Effect of Perceived Ease of Use on User’s Intention to Use E- learning with Moodle Application in Higher Education Mediated by Perceived Usefulness,” Manag. Econ. J., vol. 5, no. 3, pp. 211–220, Dec. 2021, doi: 10.18860/mec-j.v5i3.13146.
S. ALBLOOSHI and N. A. B. ABDUL HAMID, “The Effect of Performance Expectancy on Actual Use of E-learning throughout the Mediation Role of Behaviour Intention,” J. e-Learning High. Educ., pp. 1–11, Mar. 2022, doi: 10.5171/2022.628490.
Z. Qi, “A modified technology acceptance model for digital learning in Chinese universities,” E-Learning Digit. Media, Jan. 2025, doi: 10.1177/20427530251313758.
F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, p. 319, Sep. 1989, doi: 10.2307/249008.
F. D. Davis and A. Grani?, “Evolution of TAM,” 2024, pp. 19–57. doi: 10.1007/978-3-030-45274-2_2.
Z. Chabani and S. Askri, “Evolution of Robust Technology Acceptance Models,” in Technology and Innovative Management as Drivers of Sustainable Progress, IGI Global Scientific Publishing, 2025, pp. 101–116. doi: 10.4018/979-8-3373-2858-4.ch004.
Syam Gunawan and Herni Susilowati, “METODE TAM UNTUK ANALISA KEPUASAN PENGGUNA TAX APPLICATION,” J. Inform. dan Komputasi Media Bahasan, Anal. dan Apl., vol. 17, no. 2, pp. 81–88, Nov. 2023, doi: 10.56956/jiki.v17i2.245.
D.- Purwandari, “Students’ Intentions to Use E-Learning during the Covid-19 Pandemic: An Extended Technological Accaptance Model (TAM) Approach,” J. Sisfokom (Sistem Inf. dan Komputer), vol. 13, no. 1, pp. 110–118, Feb. 2024, doi: 10.32736/sisfokom.v13i1.2014.
F. Fitria, M. Yahya, M. I. Ali, P. Purnamawati, and A. M. Mappalotteng, “The Impact of System Quality and User Satisfaction: The Mediating Role of Ease of Use and Usefulness in E-Learning Systems,” Int. J. Environ. Eng. Educ., vol. 6, no. 2, pp. 119–131, Aug. 2024, doi: 10.55151/ijeedu.v6i2.134.
K. Li, “Determinants of College Students’ Actual Use of AI-Based Systems: An Extension of the Technology Acceptance Model,” Sustainability, vol. 15, no. 6, p. 5221, Mar. 2023, doi: 10.3390/su15065221.
Mega Yuda Rukmana, Fitra Abdurrachman Bactiar, and Sabriansyah Rizqika Akbar, “Technology Acceptance Model (TAM) on distance learning in University of Brawijaya,” J. Inf. Technol. Comput. Sci., vol. 9, no. 3, pp. 331–348, Jan. 2025, doi: 10.25126/jitecs.93724.
M. W. Mohd Fauzi, M. D. Kamarul Zaman, N. A. Dahalan, N. A. Anwar, and S. M. Syed Abu Bakar, “E-Learning on Teaching and Learning: The Role of Accessibility, Behavior and Knowledge,” Inf. Manag. Bus. Rev., vol. 17, no. 3(I), pp. 74–81, Sep. 2025, doi: 10.22610/imbr.v17i3(I).4648.
J. W. Creswell and J. D. Creswell, Research Design: Quantitative, Qualitative, Mixed Methods, Arts-Based, and Community-Based Participatory Research Approaches, 6th ed. SAGE Publications, 2022. [Online]. Available: https://books.google.com/books?hl=en&id=qUiKEAAAQBAJ
L. Putri, Muhammad Rizki Rezani, and Dina Hermina, “CORRELATIONAL RESEARCH DESIGN,” J. Ris. Multidisiplin Edukasi, vol. 2, no. 6, pp. 306–317, Jun. 2025, doi: 10.71282/jurmie.v2i6.456.
N. Thomsen and A. Schulz, “Projecting traffic flows for road-based passenger transport in Europe for the analysis of climate impact,” Eur. Transp. Res. Rev., vol. 16, no. 1, p. 33, Jun. 2024, doi: 10.1186/s12544-024-00652-2.
R. Iliyasu and I. Etikan, “Comparison of quota sampling and stratified random sampling,” Biometrics Biostat. Int. J., vol. 10, no. 1, pp. 24–27, Feb. 2021, doi: 10.15406/bbij.2021.10.00326.
J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. in Classroom Companion: Business. Cham: Springer International Publishing, 2021. doi: 10.1007/978-3-030-80519-7.
F. Fitria, M. Yahya, M. I. Ali, P. Purnamawati, and A. M. Mappalotteng, “The Impact of System Quality and User Satisfaction: The Mediating Role of Ease of Use and Usefulness in E-Learning Systems,” Int. J. Environ. Eng. Educ., vol. 6, no. 2, pp. 119–131, Aug. 2024, doi: 10.55151/ijeedu.v6i2.134.
N. A. de Rezende and D. D. de Medeiros, “How rating scales influence responses’ reliability, extreme points, middle point and respondent’s preferences,” J. Bus. Res., vol. 138, pp. 266–274, Jan. 2022, doi: 10.1016/j.jbusres.2021.09.031.
M. F. Ramadhan, R. A. Siroj, and M. W. Afgani, “Validitas and Reliabilitas,” J. Educ., vol. 6, no. 2, pp. 10967–10975, Jan. 2024, doi: 10.31004/joe.v6i2.4885.
M. Soliman, “Predicting Continuous Intention to Use e-Learning Platforms among University Students: An Integrated Model,” Int. J. Inf. Educ. Technol., vol. 14, no. 12, pp. 1724–1733, 2024, doi: 10.18178/ijiet.2024.14.12.2203.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Analisis Penggunaan Teknologi E-Learning Menggunakan Technology Acceptance Model (TAM) pada Mahasiswa Perguruan Tinggi Swasta
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2025 Imam Fauzi Akmal, M Hafizh Azhar Ar, Debi Irawan

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).













