User Acceptance of a Web-Based Anti-Cheating Online Examination System Using the Technology Acceptance Model

Dedy Irfan; Eka Juliafad; Asrul Huda; Firdaus; Zulwisli

doi:10.24036/kp2tvw20

Authors

Dedy Irfan Author
Eka Juliafad Universitas Negeri Padang Author
Asrul Huda Universitas Negeri Padang Author
Firdaus Universitas Negeri Padang Author
Zulwisli Universitas Negeri Padang Author

DOI:

https://doi.org/10.24036/kp2tvw20

Keywords:

Anti-cheating examination, PLS-SEM, Online examination, Technology Acceptance Model, User acceptance

Abstract

This study evaluated user acceptance of a web-based anti-cheating online examination system implemented in the Informatics Engineering Education Study Program. The system had been designed to support orderly and objective examinations through user authentication, online question delivery, answer storage, activity logging, and restrictions on selected browser interactions. A quantitative explanatory survey was conducted with 18 users selected through total sampling after they had directly used the system. Data were collected using a 20-item questionnaire representing perceived ease of use, perceived usefulness, attitude toward using, behavioral intention to use, and actual system use. Descriptive analysis and partial least squares structural equation modeling were performed using SmartPLS. The descriptive results showed that perceived ease of use achieved the highest respondent achievement level at 87.22%, followed by attitude toward using at 81.39%, actual system use at 80.28%, perceived usefulness at 79.44%, and behavioral intention at 78.61%. All six hypothesized relationships were positive and significant. Behavioral intention had the strongest effect on actual system use (β = 0.919, p < 0.001), while perceived ease of use significantly affected perceived usefulness (β = 0.714, p < 0.001). The findings demonstrated that the system was accepted positively and that ease, usefulness, and user attitudes were important determinants of continued use. Improvements should prioritize web responsiveness, network-failure tolerance, and automatic answer saving.

Downloads

Download data is not yet available.

References

[1] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol. 13, no. 3, pp. 319-340, 1989, doi: 10.2307/249008.

[2] Y. Akbar and Y. Bachtiar, “Analisis penerimaan pengguna aplikasi Kipin School menggunakan metode Technology Acceptance Model (TAM),” Jurnal Indonesia: Manajemen Informatika dan Komunikasi, vol. 5, no. 3, pp. 2827-2839, 2024, doi: 10.35870/jimik.v5i3.1013.

[3] E. Ernawati et al., “Evaluasi penerimaan mahasiswa terhadap aplikasi akademik mobile dengan pendekatan Technology Acceptance Model (TAM),” INTI Nusa Mandiri, vol. 20, no. 1, pp. 65-74, 2025, doi: 10.33480/inti.v20i1.6898.

[4] Marhaeni and K. Atmadja, “Analisis penerimaan Sistem Informasi Akademik Kampus ISTN dengan pendekatan Technology Acceptance Model (TAM),” Jurnal Manajemen Informatika Jayakarta, vol. 5, no. 1, pp. 32-40, 2025, doi: 10.52362/jmijayakarta.v5i1.1747.

[5] M. Medianty et al., “Analisis Perceived Ease of Use dan Perceived Usefulness terhadap Actual System Use aplikasi SAKTI,” MANDAR: Management Development and Applied Research Journal, vol. 7, no. 1, pp. 65-76, 2024, doi: 10.31605/mandar.v7i1.4431.

[6] M. Mulyani et al., “Analisis penerimaan Sistem Informasi Akademik Mahasiswa Institut Teknologi Garut menggunakan Technology Acceptance Model,” 2022.

[7] 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: A Workbook. Cham: Springer, 2021, doi: 10.1007/978-3-030-80519-7.

[8] J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 3rd ed. Thousand Oaks, CA: Sage, 2022.

[9] M. Sarstedt, C. M. Ringle, and J. F. Hair, “Partial least squares structural equation modeling,” in Handbook of Market Research, C. Homburg, M. Klarmann, and A. Vomberg, Eds. Cham: Springer, 2022, pp. 587-632, doi: 10.1007/978-3-319-57413-4_15.

[10] Sugiyono, Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta, 2023.

[11] V. Venkatesh and F. D. Davis, “A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies,” Management Science, vol. 46, no. 2, pp. 186-204, 2000.

[12] E. Effendi et al., “Analisis Technology Acceptance Model (TAM) aplikasi SISMART sebagai media pembelajaran pada SMA Adabiyah Palembang,” 2021.

[13] R. Novita and F. Helena, “Analisis penerimaan pengguna menggunakan Technology Acceptance Model dan End-User Computing Satisfaction,” 2021.

[14] Ambiya and Taufiq, “Analisis penerimaan mahasiswa terhadap Sistem Informasi Akademik UMTAS dengan Technology Acceptance Model,” 2022.

[15] Kardianto and Slamet, “Analisis penerimaan Sistem Informasi Akademik dan Kemahasiswaan Fakultas Teknik Universitas Negeri Padang menggunakan Technology Acceptance Model,” 2024.