Analisis Penerimaan Teknologi Artificial Intelligence pada Mahasiswa Menggunakan Pendekatan Technology Acceptance Model (TAM)
Kata Kunci:
Kecerdasan Buatan, Model Penerimaan Teknologi (TAM), Penerimaan Teknologi, Kegunaan yang Dirasakan, Kemudahan Penggunaan yang Dirasakan, Mahasiswa UniversitasAbstrak
Perkembangan teknologi digital di lingkungan pendidikan tinggi dalam beberapa tahun terakhir menunjukkan peningkatan yang pesat, terutama dalam mendukung proses pembelajaran serta aktivitas penelitian mahasiswa. Namun demikian, masih terdapat kesenjangan antara kemampuan pemanfaatan teknologi dan kompetensi riset mahasiswa, khususnya dalam mengolah informasi secara kritis dan terstruktur. Penelitian ini bertujuan untuk mengkaji pengaruh literasi digital dan pemanfaatan teknologi informasi terhadap kompetensi riset mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data diperoleh melalui kuesioner terhadap 100 responden mahasiswa dan dianalisis menggunakan regresi linear berganda. Hasil penelitian menunjukkan bahwa literasi digital dan pemanfaatan teknologi informasi secara simultan memberikan pengaruh positif dan signifikan terhadap kompetensi riset mahasiswa dengan kontribusi sebesar 62%. Secara individual, literasi digital memiliki pengaruh yang lebih kuat dibandingkan pemanfaatan teknologi informasi. Temuan ini mengindikasikan bahwa literasi digital tidak hanya berperan sebagai keterampilan teknis, tetapi juga sebagai dasar kognitif dalam mendukung proses penelitian, sedangkan teknologi informasi berfungsi sebagai sarana pendukung dalam akses serta pengolahan informasi. Kesimpulannya, kedua variabel tersebut memiliki peran penting dalam meningkatkan kompetensi riset mahasiswa, meskipun masih terdapat faktor lain yang belum dianalisis dalam penelitian ini. Penelitian selanjutnya disarankan untuk menambahkan variabel seperti motivasi belajar dan lingkungan akademik agar memperoleh hasil yang lebih komprehensif.
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Referensi
[1] Helmiatin, A. Hidayat, and M. R. Kahar, “Investigating the adoption of AI in higher education: a study of public universities in Indonesia,” Cogent Education, vol. 11, no. 1, Dec. 2024, doi: 10.1080/2331186X.2024.2380175.
[2] Helmiatin, A. Hidayat, and M. R. Kahar, “Investigating the adoption of AI in higher education: a study of public universities in Indonesia,” Cogent Education, vol. 11, no. 1, Dec. 2024, doi: 10.1080/2331186X.2024.2380175.
[3] C. Fornell and D. F. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, vol. 18, no. 1, p. 39, Feb. 1981, doi: 10.2307/3151312.
[4] H. R. Harsanti, N. Sudibjo, S. Riady, and P. Yu, “Exploring Indonesian teachers’ intention to use artificial intelligence in schools: the impact of digital leadership, digital readiness, and perceived usefulness,” Cogent Soc. Sci., vol. 11, no. 1, Dec. 2025, doi: 10.1080/23311886.2025.2593596.
[5] O. Zawacki-Richter, V. I. Marín, M. Bond, and F. Gouverneur, “Systematic review of research on artificial intelligence applications in higher education – where are the educators?,” International Journal of Educational Technology in Higher Education, vol. 16, no. 1, p. 39, Dec. 2019, doi: 10.1186/s41239-019-0171-0.
[6] C. Z. Yu, T. J. Chan, and I. Asnira Zolkepli, “Bridging social media content and re-purchasing behavior: The mediation role of interactivity and e-WOM,” International Journal of Data and Network Science, vol. 7, no. 1, pp. 251–264, 2023, doi: 10.5267/j.ijdns.2022.10.008.
[7] B. Foroughi et al., “Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA,” Int. J. Hum. Comput. Interact., vol. 40, no. 17, pp. 4501–4520, Sep. 2024, doi: 10.1080/10447318.2023.2226495.
[8] B. Foroughi et al., “Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA,” Int. J. Hum. Comput. Interact., vol. 40, no. 17, pp. 4501–4520, Sep. 2024, doi: 10.1080/10447318.2023.2226495.
[9] D. Folkinshteyn and M. Lennon, “Braving Bitcoin: A technology acceptance model (TAM) analysis,” Journal of Information Technology Case and Application Research, vol. 18, no. 4, pp. 220–249, Oct. 2016, doi: 10.1080/15228053.2016.1275242.
[10] P. Ninghardjanti, A. Subarno, Winar, and M. C. Umam, “Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret,” Res. Pract. Technol. Enhanc. Learn., vol. 21, p. 014, Jun. 2025, doi: 10.58459/rptel.2026.21014.
[11] F. J. Miranda and A. Chamorro-Mera, “Exploring the adoption of generative artificial intelligence tools among university teachers,” Higher Education Research & Development, vol. 45, no. 3, pp. 680–696, Apr. 2026, doi: 10.1080/07294360.2025.2559648.
[12] W. Tafesse, “Social networking sites use and college students’ academic performance: testing for an inverted U-shaped relationship using automated mobile app usage data,” International Journal of Educational Technology in Higher Education, vol. 19, no. 1, p. 16, Dec. 2022, doi: 10.1186/s41239-022-00322-0.
[13] H. Amouri, S. Haroud, L. Ouchaouka, and N. Saqri, “Acceptability of artificial intelligence in inclusive education: a TAM2-based study among preservice teachers,” Front. Artif. Intell., vol. 8, Aug. 2025, doi: 10.3389/frai.2025.1616327.
[14] Y. Zhao, Y. Li, Y. Xiao, H. Chang, and B. Liu, “Factors Influencing the Acceptance of ChatGPT in High Education: An Integrated Model With PLS-SEM and fsQCA Approach,” Sage Open, vol. 14, no. 4, Oct. 2024, doi: 10.1177/21582440241289835.
[15] A. Polyportis and N. Pahos, “Understanding students’ adoption of the ChatGPT chatbot in higher education: the role of anthropomorphism, trust, design novelty and institutional policy,” Behaviour & Information Technology, vol. 44, no. 2, pp. 315–336, Jan. 2025, doi: 10.1080/0144929X.2024.2317364.
[16] M. Barakat, N. A. Salim, and M. Sallam, “University Educators Perspectives on ChatGPT: A Technology Acceptance Model-Based Study,” Open Praxis, vol. 17, no. 1, pp. 129–144, Apr. 2025, doi: 10.55982/openpraxis.17.1.718.
[17] F. P. E. Putra, A. Hamzah, W. Agel, and ..., “Impelementasi Sistem Keamanan Jaringan Mikrotik Menggunakan Firewall Filtering dan Port Knocking,” Jurnal Sistim Informasi …, 2023, [Online]. Available: https://ipv6.jsisfotek.org/index.php/JSisfotek/article/view/329
[18] M. Barakat, N. A. Salim, and M. Sallam, “University Educators Perspectives on ChatGPT: A Technology Acceptance Model-Based Study,” Open Praxis, vol. 17, no. 1, pp. 129–144, Apr. 2025, doi: 10.55982/openpraxis.17.1.718.
[19] M. F. Shahzad, S. Xu, and I. Javed, “ChatGPT awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone,” International Journal of Educational Technology in Higher Education, vol. 21, no. 1, p. 46, Jul. 2024, doi: 10.1186/s41239-024-00478-x.
[20] C. K. Y. Chan and W. Hu, “Students’ voices on generative AI: perceptions, benefits, and challenges in higher education,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, p. 43, Jul. 2023, doi: 10.1186/s41239-023-00411-8.
[21] F. P. E. Putra, M. Dafid, and I. Syafi’i, “Firewall Implementation as a Computer Network Security Strategy for Data Protection,” Brilliance: Research of Artificial …, 2025, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/brilliance/article/view/6162
[22] N. Saif, S. U. Khan, I. Shaheen, F. A. ALotaibi, M. M. Alnfiai, and M. Arif, “Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism,” Comput. Human Behav., vol. 154, p. 108097, May 2024, doi: 10.1016/j.chb.2023.108097.
[23] Md. H. Howlader, M. M. Tohan, S. Zaman, S. K. Chanda, G. Jiaxin, and Md. A. Rahman, “Factors influencing the acceptance and usage of ChatGPT as an emerging learning tool among higher education students in Bangladesh: a structural equation modeling,” Cogent Education, vol. 12, no. 1, Dec. 2025, doi: 10.1080/2331186X.2025.2504224.
[24] N. A. Dahri et al., “Extended TAM based acceptance of AI-Powered ChatGPT for supporting metacognitive self-regulated learning in education: A mixed-methods study,” Heliyon, vol. 10, no. 8, p. e29317, Apr. 2024, doi: 10.1016/j.heliyon.2024.e29317.
[25] M. A. Chaudhry and E. Kazim, “Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021,” AI and Ethics, vol. 2, no. 1, pp. 157–165, Feb. 2022, doi: 10.1007/s43681-021-00074-z.
[26] I. Ali, N. F. Warraich, and K. Butt, “Acceptance and use of artificial intelligence and AI-based applications in education: A meta-analysis and future direction,” Information Development, vol. 41, no. 3, pp. 859–874, Sep. 2025, doi: 10.1177/02666669241257206.
[27] R. H. Mustofa, T. G. Kuncoro, D. Atmono, H. D. Hermawan, and Sukirman, “Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students,” Computers and Education: Artificial Intelligence, vol. 8, p. 100379, Jun. 2025, doi: 10.1016/j.caeai.2025.100379.
[28] G. Szepannek, “clustMixType: User-Friendly Clustering of Mixed-Type Data in R,” R J., vol. 10, no. 2, p. 200, 2019, doi: 10.32614/RJ-2018-048.
[29] J. C. F. de Winter, D. Dodou, and A. H. A. Stienen, “ChatGPT in Education: Empowering Educators through Methods for Recognition and Assessment,” Informatics, vol. 10, no. 4, p. 87, Nov. 2023, doi: 10.3390/informatics10040087.
[30] F. P. E. Putra, U. Ubaidi, A. Hamzah, and ..., “Systematic literature review: Security gap detection on websites using OWASP ZAP,” Brilliance: Research …, 2024, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/brilliance/article/view/4227
[31] F. P. E. Putra, K. Mufidah, R. M. Ilhamsyah, and ..., “Tinjauan performa RouterOS Mikrotik dalam jaringan internet: Analisis kinerja dan kelayakan,” Digital …, 2023, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/digitech/article/view/3446
[32] F. P. E. Putra, U. Ubaidi, R. O. F. Kusuma, and ..., “Effect Of Distance On Wi-Fi Signal Quality In The Home Environment,” Brilliance: Research …, 2024, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/brilliance/article/view/4319
[33] J. C. Chancusig and S. Bayona-Orè, “Adoption Model of Information and Communication Technologies in Education,” in 2019 8th International Conference On Software Process Improvement (CIMPS), IEEE, Oct. 2019, pp. 1–6. doi: 10.1109/CIMPS49236.2019.9082425.
[34] X. Cao, Z. Li, and R. Zhang, “Analysis on Academic Benchmark Design and Teaching Method Improvement under Artificial Intelligence Robot Technology,” International Journal of Emerging Technologies in Learning (iJET), vol. 16, no. 05, p. 58, Mar. 2021, doi: 10.3991/ijet.v16i05.20295.
[35] 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.
[36] Y. Cao, A. A. Aziz, and W. N. R. M. Arshard, “University students’ perspectives on Artificial Intelligence,” IJERI: International Journal of Educational Research and Innovation, no. 20, pp. 1–21, Dec. 2023, doi: 10.46661/ijeri.8429.
[37] L. Chen, P. Chen, and Z. Lin, “Artificial Intelligence in Education: A Review,” IEEE Access, vol. 8, pp. 75264–75278, 2020, doi: 10.1109/ACCESS.2020.2988510.
[38] E. Esiyok, S. Gokcearslan, and K. G. Kucukergin, “Acceptance of Educational Use of AI Chatbots in the Context of Self-Directed Learning with Technology and ICT Self-Efficacy of Undergraduate Students,” Int. J. Hum. Comput. Interact., vol. 41, no. 1, pp. 641–650, Jan. 2025, doi: 10.1080/10447318.2024.2303557.
[39] F. P. E. Putra, A. Zulfikri, G. Arifin, and ..., “Analysis of phishing attack trends, impacts and prevention methods: literature study,” … : Research of Artificial …, 2024, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/brilliance/article/view/4357
[40] F. P. E. Putra, F. Muslim, N. Hasanah, R. Paradina, and ..., “Analisis Komparasi Protokol Websocket dan MQTT Dalam Proses Push Notification,” Jurnal Sistim Informasi …, 2023, [Online]. Available: http://www.jsisfotek.org/index.php/JSisfotek/article/view/325
[41] I. Celik, “Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education,” Comput. Human Behav., vol. 138, p. 107468, Jan. 2023, doi: 10.1016/j.chb.2022.107468.
[42] G. B. Svendsen, J.-A. K. Johnsen, L. Almås-Sørensen, and J. Vittersø, “Personality and technology acceptance: the influence of personality factors on the core constructs of the Technology Acceptance Model,” Behaviour & Information Technology, vol. 32, no. 4, pp. 323–334, Apr. 2013, doi: 10.1080/0144929X.2011.553740.
[43] F. P. E. Putra, U. Ubaidi, R. N. Saputra, and ..., “Application of Internet of Things technology in monitoring water quality in fishponds,” Brilliance: Research …, 2024, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/brilliance/article/view/4231
[44] K. Sohn and O. Kwon, “Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products,” Telematics and Informatics, vol. 47, p. 101324, Apr. 2020, doi: 10.1016/j.tele.2019.101324.
[45] F. Ibrahim, J.-C. Münscher, M. Daseking, and N.-T. Telle, “The technology acceptance model and adopter type analysis in the context of artificial intelligence,” Front. Artif. Intell., vol. 7, Jan. 2025, doi: 10.3389/frai.2024.1496518.
[46] D. Molerov, D. Federiakin, O. Zlatkin-Troitschanskaia, K. Shenavai, L. Trierweiler, and M.-T. Nagel, “The relationship between AI-chatbots use, student assessment performance and learning outcomes in higher education,” Unterrichtswissenschaft, Feb. 2026, doi: 10.1007/s42010-026-00242-2.
[47] D. Gursoy, O. H. Chi, L. Lu, and R. Nunkoo, “Consumers acceptance of artificially intelligent (AI) device use in service delivery,” Int. J. Inf. Manage., vol. 49, pp. 157–169, Dec. 2019, doi: 10.1016/j.ijinfomgt.2019.03.008.
[48] C. J. Abolle-Okoyeagu, C. P. Ezenkwu, E. Ibeke, O. P. Onoja, and V. U. Ezeonwumelu, “Engineering students and AI in education: a TAM-based study of perceptions, acceptance, and barriers to adoption,” Cogent Education, vol. 13, no. 1, Dec. 2026, doi: 10.1080/2331186X.2026.2614148.
[49] M. G. Espinoza-Bravo, R. Cabezas-Cabezas, M. Perez-Cepeda, O. Carvache-Franco, and W. Carvache-Franco, “AIDUA (artificial intelligence device use and acceptance) model to assess the acceptance of AI in the learning practices of higher education students,” Cogent Education, vol. 12, no. 1, Dec. 2025, doi: 10.1080/2331186X.2025.2560618.
[50] F. P. E. Putra, M. Irfan, M. Aziz, and ..., “Wireless Network Design at Pamekasan Regency Public Library,” Brilliance: Research of …, 2025, [Online]. Available: https://itscience-indexing.com/jurnal/index.php/brilliance/article/view/5876
[51] G. C. Feng, X. Su, Z. Lin, Y. He, N. Luo, and Y. Zhang, “Determinants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews,” Journal. Mass Commun. Q., vol. 98, no. 1, pp. 83–104, Mar. 2021, doi: 10.1177/1077699020952400.
[52] G. Bilquise, S. Ibrahim, and S. M. Salhieh, “Investigating student acceptance of an academic advising chatbot in higher education institutions,” Educ. Inf. Technol. (Dordr)., vol. 29, no. 5, pp. 6357–6382, Apr. 2024, doi: 10.1007/s10639-023-12076-x.
[53] M. A. Ayanwale and R. R. Molefi, “Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho,” International Journal of Educational Technology in Higher Education, vol. 21, no. 1, p. 20, Mar. 2024, doi: 10.1186/s41239-024-00451-8.
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