Main Content
Lembaga Kita Journal Portal
Open Access Computer & Communication Science

Pengaruh Literasi Digital terhadap Etika Penggunaan Artificial Intelligence pada Mahasiswa Perguruan Tinggi

  • Yusuf Unggul Budiman1*
  • Ahmad Jurnaidi Wahidin2
  • Daz Vholasky Anggraini3
1,2,3 Universitas Bina Sarana Informatika image/svg+xml
* Corresponding Author: Yusuf Unggul Budiman

Abstract

The development of Artificial Intelligence (AI) in higher education has transformed the way students seek information, complete assignments, and understand academic materials. However, AI use also raises ethical issues, including plagiarism, overreliance on instant answers, and a lack of transparency in acknowledging AI assistance. This study aims to analyze the effect of digital literacy on the ethical use of AI among university students. A quantitative survey method was employed. Data were collected using a 1–5 Likert-scale questionnaire from 125 respondents, with 119 complete responses analyzed. Digital literacy was measured using 12 items, while ethical AI use was measured using 12 items. Data were analyzed using descriptive statistics, validity testing, reliability testing, correlation, and simple linear regression. The results show that digital literacy has a positive and significant effect on ethical AI use. The correlation coefficient of 0.638 indicates a strong relationship, while the coefficient of determination of 0.406 indicates that digital literacy explains 40.6% of the variation in ethical AI use. The regression equation is Y = 1.196 + 0.706X. These findings indicate that students with higher digital literacy tend to use AI more ethically, responsibly, and transparently. This study recommends strengthening digital literacy programs with an emphasis on AI ethics in higher education.

Keywords

Digital Literacy AI Ethics Artificial Intelligence Students Higher Education

How to Cite

Citation Format
Budiman, Y. U., Wahidin, A. J., & Anggraini, D. V. (2027). Pengaruh Literasi Digital terhadap Etika Penggunaan Artificial Intelligence pada Mahasiswa Perguruan Tinggi. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 11(1), 145-151. https://doi.org/10.35870/jtik.v11i1.7479

References

15 References
  • Aswan, D. (2025). Hubungan antara literasi digital dan persepsi mahasiswa tentang etika penggunaan AI di kalangan akademik. Jurnal Ilmiah Wahana Pendidikan, 11(6.D), 283–294.
  • Bittle, K., & El-Gayar, O. (2025). Generative AI and academic integrity in higher education: A systematic review and research agenda. Information, 16(4), 296.
  • Chen, K., Tallant, A. C., & Selig, I. (2025). Exploring generative AI literacy in higher education: Student adoption, interaction, evaluation, and ethical perceptions. Information and Learning Sciences, 126(1–2), 132–148.
  • Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating? Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239.
  • Gu, X., & Ericson, B. J. (2025). AI literacy in K-12 and higher education in the wake of generative AI: An integrative review.
  • Hazari, S., & Vaidya, S. (2024). Artificial intelligence literacy for higher education. Journal of Educational Research and Practice, 14(1).
  • Huang, Y. (2015). Research of big data based on the views of technology and application. The Open Automation and Control System, (April), 1312–1317. https://doi.org/10.4236/ajibm.2015.54021.
  • Kementerian Komunikasi dan Informatika, Japelidi, & Siberkreasi. (2023). Empat Pilar Literasi Digital: Cakap, Aman, Budaya, dan Etika Digital. Jakarta.
  • Lund, B., & Wang, T. (2025). Student perceptions of AI-assisted writing and academic integrity. AI, 1(1), 15–28.
  • Marin, Y. R., et al. (2025). Ethical challenges associated with the use of artificial intelligence in universities. Journal of Academic Ethics, 23(2), 201–219.
  • McDonald, N., Johri, A., Ali, A., & Hingle, A. (2024). Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines. ArXiv.
  • Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI Literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.
  • Ng, W. (2012). Can we teach digital natives digital literacy? Computers & Education, 59(3), 1065–1078.
  • UNESCO. (2023). Guidance for Generative AI in Education and Research. UNESCO Publishing.
  • Zalisman. (2025). Students’ academic integrity index in using generative artificial intelligence among Islamic education major students in Islamic higher education. POTENSIA: Jurnal Kependidikan Islam, 9(2). https://doi.org/10.24014/potensia.v9i2.37740.

Author Biographies

Yusuf Unggul Budiman, Universitas Bina Sarana Informatika

Program Studi Teknologi Informasi, Universitas Bina Sarana Informatika, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia.

Ahmad Jurnaidi Wahidin, Universitas Bina Sarana Informatika

Program Studi Teknologi Informasi, Universitas Bina Sarana Informatika, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia.

Daz Vholasky Anggraini, Universitas Bina Sarana Informatika

Program Studi Teknologi Informasi, Universitas Bina Sarana Informatika, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia.

License

Copyright (c) 2027 Yusuf Unggul Budiman, Ahmad Jurnaidi Wahidin, Daz Vholasky Anggraini

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

Downloads

OJS UsageStats Plugin
Download data is not yet available.
Contrimetric

Recommended Articles