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The Covid-19 pandemic in Indonesia has an impact on changes in policies and the learning process at Budi Luhur University (UBL). The complete online learning policy has been implemented since the 2nd semester of 2019/2020, which began in March 2020. Students and lecturers carry out teaching and learning activities through an e-learning system developed in 2005. Although it has been implemented for a long time, the level of acceptance has never been measured comprehensively. This research has a contribution in measuring the level of acceptance of the e-learning. In addition, before the Covid-19 pandemic, the use of the e-learning system was still partially implemented and only for a few courses. In this study, an analysis of the student acceptance of the UBL e-learning system was carried out by involving respondents and a more comprehensive acceptance model. The modeling used in this study refers to the Comprehensive Technology Acceptance Model (CTAM) with seven exogenous variables and five endogenous variables. Testing and analysis are based on variant-based structural equation models, namely Partial Least Square (PLS) using the SmartPLS application. The results show that nine main factors influence student acceptance of the e-learning system: system quality, content quality, information quality, accessibility, enjoyment, perceived ease of use, perceived usefulness, and student attitudes towards applications and behavioral intention to use. This research is helpful for UBL and other educational institutions as material for developing a quality e-learning system accepted by its users.
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 B. H. Prasetyo and D. Anubhakti, “Kajian Penerimaan Sistem e-Learning dengan Menggunakan Pendekatan UTAUT Studi Kasus Fakultas Teknologi Informasi Universitas Budi Luhur,” Issn 1693- 9166, vol. 8, no. 2, pp. 45–47, 2011.
 F. D. Davis, “A technology acceptance model for empirically testing new end-user information systems: Theory and results,” Massachusetts Institute of Technology, 1985.
 V. Venkatesh and H. Bala, “Technology Acceptance Model 3 and a Research Agenda on Interventions,” Decis. Sci., vol. 39, no. 2, pp. 273–315, 2008.
 V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology,” MIS Q., vol. 36, no. 1, pp. 157–178, Apr. 2012.
 S. A. Salloum, A. Qasim Mohammad Alhamad, M. Al-Emran, A. Abdel Monem, and K. Shaalan, “Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model,” IEEE Access, vol. 7, pp. 128445–128462, 2019.
 D. Napitupulu, “Kajian Penerimaan e-Learning dengan Pendekatan TAM,” in Prosiding Seminar Nasional Multidisiplin Ilmu, 2017, pp. 41–48.
 F. S. Rahayu, D. Budiyanto, and D. Palyama, “Analisis Penerimaan e-Learning Menggunakan Technology Acceptance Model (TAM) (Studi Kasus : Universitas Atma Jaya Yogyakarta),” JUTEI, vol. 1, no. 2, pp. 85–95, 2017.
 I. Harris, “Analisis Technology Acceptance Model (TAM) terhadap Tingkat Penerimaan E-Learning pada Kalangan Mahasiswa,” J. Terap. Manaj. dan Bisnis, vol. 3, no. 1, pp. 1–20, 2017.
 R. N. Rahmawati and I. M. Narsa, “Actual Usage Penggunaan E-Learning dengan Technology Acceptance Model (TAM),” J. Inov. Teknol. Pendidik., vol. 6, no. 2, pp. 127–136, 2019.
 L. Sakdiyah, R. Effendi, and A. S. Kustono, “Analisis Penerimaan Penggunaan E-Learning dengan Pendekatan Theory of Planned Behavior ( TPB ) pada Mahasiswa Akuntansi Universitas Jember,” e-Journal Ekon. Bisnis dan Akunt., vol. VI, no. 1, pp. 120–126, 2019.
 R. D. Mahande and J. D. Malago, “An E-Learning Acceptance Evaluation Through UTAUT Model in A PostGraduate Program,” J. Educ. Online, vol. 16, no. 2, 2019.
 F. Amalia, R. T. Sulistyo, and A. H. Brata, “Analisis Tingkat Penerimaan E-Learning Sebagai Alternatif Media Pembelajaran Pada Siswa SMK,” SMATIKA J. STIKI Inform. J., vol. 10, no. 2, pp. 41–47, 2020.
 U. Hasanah, S. Hidayat, and D. Kumoro, “Evaluation of the e-Learning Utilization as a Learning System in Higher Education Institution,” J. INFOTEL, vol. 12, no. 4, pp. 160–168, 2020.
 F. D. Davis, “Perceived Usefulness , Perceived Ease of Use , and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989.
 V. Cho, T. C. E. Cheng, and W. M. J. Lai, “The role of perceived user-interface design in continued usage intention of self-paced e-learning tools,” Comput. Educ., vol. 53, no. 2, pp. 216–227, 2009.
 W. Wongvilaisakul and S. Lekcharoen, “The acceptance of e-Learning using SEM approach: A case of IT Literacy development for PIM students,” 2015 12th Int. Conf. Electr. Eng. Comput. Telecommun. Inf. Technol., pp. 1–6, 2015.
 R. A. Sánchez and A. D. Hueros, “Motivational factors that influence the acceptance of Moodle using TAM,” Comput. Human Behav., vol. 26, no. 6, pp. 1632–1640, 2010.
 M. M. Al-Debei, “The quality and acceptance of websites: an empirical investigation in the context of higher education,” Int. J. Bus. Inf. Syst., vol. 15, no. 2, pp. 170–188, 2014.
 Z. Hussein, “Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning,” Procedia Comput. Sci., vol. 105, pp. 159–164, 2017.
 H.-L. Liao and H.-P. Lu, “The role of experience and innovation characteristics in the adoption and continued use of e-learning websites,” Comput. Educ., vol. 51, no. 4, pp. 1405–1416, 2008.
 PDDikti, “Profil Perguruan Tinggi Universitas Budi Luhur - Pangkalan Data Pendidikan Tinggi,” PDDikti, 2020. [Online]. Available: https://pddikti.kemdikbud.go.id/data_pt/MTdBOTVCQkItMjE0RS00NkM1LTkyNEEtQTNEMEVDMTc2Q0Qx.
 S. Isaac and W. B. Michael, Handbook in research and evaluation: A collection of principles, methods, and strategies useful in the planning, design, and evaluation of studies in education and the behavioral sciences, 3rd ed. San Diego, CA, US: EdITS Publishers, 1995.
 R. R. L. Chairina, Analisis Manajemen Sumber Daya Manusia (Studi Kasus Kinerja Perawat Rumah Sakit). Zifatama Jawara, 2019.
 H. Sofyani, Modul Praktik Partial Least Square (PLS): Untuk Penelitian Akuntansi. Yogyakarta: Universitas Muhammadiyah Yogyakarta., 2016.
 K. K. Wong, Mastering Partial Least Squares Structural Equation Modeling ( PLS-SEM ) with SmartPLS in 38 Hours. iUniverse, 2019.