Implementasi Kecerdasan Buatan Dalam Perguruan Tinggi Indonesia: Tingkat Penerapan, Keterlibatan Mahasiswa, dan Tantangan

Authors

  • Andini Ridwana Universitas Negeri Medan, Indonesia
  • Prisilia August Sabria Sitompul Universitas Negeri Medan, Indonesia
  • Zahara Husni Zalfana Universitas Negeri Medan, Indonesia
  • M Joharis Lubis Universitas Negeri Medan, Indonesia

DOI:

https://doi.org/10.57235/ijedr.v3i2.5796

Keywords:

Kecerdasan Buatan, Perguruan Tinggi, Pendekatan Kuantitatif, Keterlibatan Mahasiswa, Tantangan Implementasi

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat penerapan kecerdasan buatan (AI) dalam perguruan tinggi di Indonesia, keterlibatan mahasiswa dalam penggunaannya, serta tantangan yang dihadapi dalam implementasinya. Pendekatan yang digunakan adalah kuantitatif berbasis survei, dengan pengumpulan data melalui kuesioner yang disebarkan kepada mahasiswa dari berbagai perguruan tinggi. Data yang diperoleh dianalisis secara statistik untuk mengukur tingkat adopsi AI, faktor yang mempengaruhi keterlibatan mahasiswa, serta hambatan utama dalam pemanfaatan AI dalam lingkungan akademik. Hasil penelitian menunjukkan bahwa meskipun implementasi AI di perguruan tinggi semakin meningkat, masih terdapat berbagai kendala seperti keterbatasan infrastruktur, kurangnya literasi digital, serta resistensi terhadap perubahan teknologi. Temuan ini diharapkan dapat memberikan wawasan bagi institusi pendidikan dalam merancang strategi optimal untuk meningkatkan pemanfaatan AI dalam pembelajaran dan penelitian di perguruan tinggi Indonesia.

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References

Aditya Permana, M., Wijayanto, B., & Kusuma, P. (2023). The evolution of artificial intelligence in education: Challenges and opportunities. Journal of Educational Technology and AI, 12(3), 45–60.

Barsha, T., & Munshi, K. (2023). Artificial intelligence integration in higher education: A developing country perspective. AI in Education Review, 18(4), 78–94.

Chen, L. (2021). Ethical considerations in the implementation of AI in education. International Journal of AI Ethics, 9(2), 120–135.

Gaus, M. (2018). Quantitative assessment of AI-assisted learning systems in universities. Higher Education Research and AI, 6(1), 55–70.

Handayani, D., & Marsofiyati, N. (2025). Adoption of AI-driven learning systems in European universities. International Journal of AI in Education, 20(1), 15–32.

Hening, R., & Kumara, A. (2019). The role of public institutions in fostering AI literacy. Educational Policy and AI Integration, 11(3), 97–110.

Jafar, M., Suryani, L., & Hidayat, T. (2024). Challenges in AI adoption for academic research in Indonesia. Journal of Digital Transformation in Higher Education, 15(2), 39–56.

Long, D., & Magerto, P. (2020). Defining AI literacy in education: A systematic review. Computers & Education, 155, 103913.

Maola, P. S. (2023). Artificial intelligence in the classroom: A case study of adaptive learning platforms. Journal of AI and Learning Sciences, 21(4), 67–82.

Nanang, M. (2015). Quantitative methods in educational research. Journal of Social Science and Education, 10(2), 33–48.

Risky, A., Fauzan, H., & Pratama, I. (2023). AI literacy levels among university students in Indonesia. Educational Technology and AI Research, 19(1), 23–40.

Tuffaha, N. (2022). Organizational factors affecting AI adoption in higher education. Higher Education and AI Management Journal, 14(3), 58–75.

Widjaja, B. (2022). Legal frameworks and regulatory challenges in AI-based education. Journal of Educational Policy and AI Regulation, 16(2), 44–60.

Yang, S., Li, M., & Zhao, W. (2020). Designing human-centered AI systems for education. Journal of Human-Computer Interaction in Education, 17(2), 90–108.

Zahara, N., & Putri, F. (2024). AI-driven assessment tools in higher education: Effectiveness and student perception. Journal of Digital Education and AI, 22(1), 12–29.

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Published

2025-07-31

Issue

Vol. 3 No. 2 (2025): Juli 2025

Section

Articles

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