Faktor-Faktor yang Mempengaruhi Niat Penggunaan Teknologi Berbasis AI dalam Pembelajaran pada Mahasiswa Program Studi Pendidikan Administrasi Perkantoran Universitas Sebelas Maret Surakarta : Penelitian

Siti Khotimah

doi:10.31004/jerkin.v4i3.4795

Authors

Siti Khotimah Universitas Sebelas Maret Surakarta

DOI:

https://doi.org/10.31004/jerkin.v4i3.4795

Keywords:

Artificial Intelligence Technology, Technology Acceptance Model (TAM), Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use

Abstract

This study aimed to analyze the factors influencing students’ intention to use Artificial Intelligence (AI) based technology in learning activities among students of the Office Administration Education Study Program at Universitas Sebelas Maret. This research employed a quantitative approach by adopting the Technology Acceptance Model (TAM), which included Perceived Ease of Use (PEU), Perceived Usefulness (PU), Behavioral Intention to Use (BI), and Actual Use (AU). The research population consisted of students from the 2021-2024 cohorts, with a total sample of 194 respondents selected using proportionate stratified random sampling. Data were collected through an online questionnaire, while data analysis was conducted using (PLS-SEM) with SmartPLS 3.0 software. The results indicated that PEU had a positive and significant effect on PU and BI AI based technology. Furthermore, PU significantly influenced BI. BI use also had a significant effect on the AU of AI based technology in learning. These findings suggest that perceived ease and usefulness are key factors in encouraging students intention and actual use of AI technology in the learning process

References

Chusna, A. T., & Sabandi, M. (2025). Pengaruh Effort Expectancy, Social Influence, dan Curiosity Terhadap Niat Penggunaan ChatGPT Dimoderasi Gender pada Pembelajaran Ekonomi Mahasiswa. Jurnal Pendidikan, 13(1), e-ISSN: 2337-7593.

Huang, F., Teo, T., & Scherer, R. (2022). Investigating the antecedents of university students’ perceived ease of using the Internet for learning. Interactive Learning Environments, 30(6), 1060-1076.

Hussain, A., Zhiqiang, M., Li, M., Jameel, A., Kanwel, S., Ahmad, S., & Ge, B. (2025). The mediating effects of perceived usefulness and perceived ease of use on nurses’ intentions to adopt advanced technology. BMC Nursing, 24(1), 33.

Kaulika, V. W. 2024). Efektivitas penggunaan artificial intelligence (AI) dalam menunjang pembelajaran mahasiswa jurusan teknologi pendidikan Universitas Negeri Malang. Diploma Thesis, Universitas Negeri Malang.

Mambu, J. G. Z., Pitra, D. H., Rizki, A., Ilmi, M., Nugroho, W., Leuwol, N. V, Muh, A., & Saputra, A. (2023). Pemanfaatan Teknologi Artificial Intelligence (AI) Dalam Menghadapi Tantangan Mengajar Guru di Era Digital. Journal on Education, 6(1), 2689–2698.

Muchminiin, M. A., Rahmadhani, M. K. A., Muqorobin, S., Mustaghfirullah, F., & Luthfi, O. S. (2024). Pengaruh Penggunaan Artificial Intelligence (AI) Terhadap Minat Belajar Mahasiswa Teknik Informatika Angkatan 2022. MARS, 2(4), 56 62.

Tao, D. (2009). Intention to use and actual use of electronic information resources: further exploring Technology Acceptance Model (TAM). In AMIA Annual Symposium Proceedings (Vol. 2009, p. 629). American Medical Informatics Association.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: for longitudinal field studies. Management Science, 46(2), 186-204.

Widyasari, E., Murtiyasa, B., & Supriyanto, E. (2024). Revolusi Pendidikan dengan Artificial Intelligence: Peluang dan Tantangan. Edukatif, 10(2), 302-311.