Peran Generative Artificial Intelligence dalam Meningkatkan Efisiensi Proses Pembelajaran di Tingkat Tinggi

Authors

  • Wincent Wisely Universitas Pelita Harapan Medan
  • Aurich Thedis Universitas Pelita Harapan Medan
  • Roy Roy Universitas Pelita Harapan Medan
  • Alkaffy Kaffy Ramba Universitas Pelita Harapan Medan
  • Evander Banjarnahor Universitas Pelita Harapan Tangerang

DOI:

https://doi.org/10.54259/satesi.v6i1.7542

Keywords:

Generative Artificial Intelligence (Gen AI), Learning Efficiency, Frequency of Use, Multiple Linear Regression, Student Behavior

Abstract

The development of Generative Artificial Intelligence (Gen AI) has significantly transformed the learning process, particularly in improving task completion efficiency. This study aims to analyze the effect of Gen AI usage on learning efficiency among high school students and university students. A quantitative approach was employed using a survey of 83 respondents. The variables examined include frequency of use, duration of use, and learning efficiency, which is measured based on task completion time. The results indicate that the level of Gen AI usage is relatively high, with a mean frequency of 3.51 and a mean duration of 3.53, while efficiency shows the highest mean value of 3.94. Regression analysis reveals that the model is statistically significant (p-value < 0.05) with a coefficient of determination of , indicating that 61.18% of the variance in learning efficiency is explained by the model. Partially, frequency of use has a positive and significant effect on efficiency ( ; p-value < 0.05), whereas duration of use is not statistically significant ( ; p-value > 0.05). These findings suggest that usage intensity plays a more critical role than usage duration. Overall, Gen AI is shown to enhance learning efficiency; however, its effectiveness depends on how users actively and appropriately engage with the technology.

Downloads

Download data is not yet available.

References

Y. A. S. Abraham, E. Banjarnahor, S. A. Sembiring, D. A. G. Sihotang, and T. A. P. Sadeva, “Challenges of Implementing AI Technologies in Traditional Educational Settings,” in 2025 1st International Conference on Data Science and Geoinformatics (ICDSG), IEEE, Nov. 2025, pp. 340–345. doi: 10.1109/ICDSG67714.2025.11381384.

Y. K. Dwivedi et al., “Opinion Paper: ‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy,” Int. J. Inf. Manage., vol. 71, p. 102642, Aug. 2023, doi: 10.1016/j.ijinfomgt.2023.102642.

J. Dimensi Pendidikan dan Pembelajaran, M. Hanif Ashshiddiqi, N. Mayesti, I. Irawati, K. Kunci, and P. Siswa dan Guru, “Vol 12 Special Issue No 1 2024 JDPP Pemanfaatan AI dalam Era Kurikulum Merdeka : Perspektif Siswa dan Guru Sekolah Menengah,” 2024, doi: https://doi.org/10.24269/dpp.v12i1.9852.

M. Waqqor Bukhori, M. Giyaatsusshidqi, N. Agustina, and Y. Sabilal Huda, “Implementasi Penggunaan AI Dalam Proses Pembelajaran Mahasiswa Teknologi Pendidikan Angkatan 2023,” 2023, doi: https://doi.org/10.9000/jpt.v3i2.1629.

T. Y. Palma, “Artifisial Intelligence Dalam Pendidikan: Kajian Literatur Mengenai Dampak Inovatif Dan Implikasi Moral,” Syntax Literate ; Jurnal Ilmiah Indonesia, vol. 10, no. 11, pp. 9146–9154, Nov. 2025, doi: 10.36418/syntax-literate.v10i11.62284.

Muhammad Ryzki Tristianto, Aditya Syahban Nugraha, Adhika Ramdani, and Adezian Santiago Nababan, “Pengaruh Artificial Intelligence (AI) dalam Evaluasi Pembelajaran Bahasa Indonesia pada Kalangan Mahasiswa,” Jurnal Nakula : Pusat Ilmu Pendidikan, Bahasa dan Ilmu Sosial, vol. 3, no. 3, pp. 47–65, Apr. 2025, doi: 10.61132/nakula.v3i3.1766.

A. Suhada and I. Fauzirachman, “IMPLIKASI PENGGUNAAN AI DALAM MENGEMBANGKAN KETERAMPILAN BERBICARA BAHASA INDONESIA DI SEKOLAH MENENGAH PERTAMA,” 2025. doi: https://doi.org/10.37058/jspendidikan.v11i2.15178.

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.

W. Holmes, M. Bialik, and C. Fadel, “Artificial intelligence in education,” in Data ethics : building trust : how digital technologies can serve humanity, Globethics Publications, 2023, pp. 621–653. doi: 10.58863/20.500.12424/4276068.

E. Banjarnahor, B. Wibawanta, R. Belferik, T. A. Putri Sadeva, and N. Andriani, “Implementation of Machine Learning Models to Predict First-Year Student Achievement Based on Ethnicity and Entrance Test Scores,” in 2025 1st International Conference on Data Science and Geoinformatics (ICDSG), IEEE, Nov. 2025, pp. 370–375. doi: 10.1109/ICDSG67714.2025.11381374.

K. M. Salleh, N. L. Sulaiman, G. Gloeckner, R. Ramli, and A. Al-Asfour, “Analyzing Likert Scale type data and interpretation in TVET research: A guideline for the novice researcher,” Architecture Image Studies, vol. 7, no. 1, pp. 550–560, Jan. 2026, doi: 10.62754/ais.v7i1.871.

W. K. Monib, A. Qazi, R. A. Apong, M. T. Azizan, L. De Silva, and H. Yassin, “Generative AI and future education: a review, theoretical validation, and authors’ perspective on challenges and solutions,” PeerJ Comput. Sci., vol. 10, p. e2105, Dec. 2024, doi: 10.7717/peerj-cs.2105.

D.-K. Mah and N. Groß, “Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs,” International Journal of Educational Technology in Higher Education, vol. 21, no. 1, p. 58, Oct. 2024, doi: 10.1186/s41239-024-00490-1.

S. Ocen, J. Elasu, S. M. Aarakit, and C. Olupot, “Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges,” Front. Educ. (Lausanne)., vol. 10, Mar. 2025, doi: 10.3389/feduc.2025.1530247.

A. Kazmaci, K. Cek, F. Altinay, Z. Altinay, and G. Dagli, “Influence of theoretical and practical artificial intelligence knowledge on the primary school teachers’ sustainable AI integration ability: mediating effects of beliefs and attitudes,” Front. Psychol., vol. 16, Aug. 2025, doi: 10.3389/fpsyg.2025.1628557.

Y. Reina Marín et al., “Artificial intelligence as a teaching tool in university education,” Front. Educ. (Lausanne)., vol. 10, Apr. 2025, doi: 10.3389/feduc.2025.1578451.

Downloads

Published

2026-04-15

How to Cite

Wincent Wisely, Aurich Thedis, Roy, R., Alkaffy Kaffy Ramba, & Evander Banjarnahor. (2026). Peran Generative Artificial Intelligence dalam Meningkatkan Efisiensi Proses Pembelajaran di Tingkat Tinggi. SATESI: Jurnal Sains Teknologi Dan Sistem Informasi, 6(1), 38–45. https://doi.org/10.54259/satesi.v6i1.7542

Issue

Section

Articles