PEMANFAATAN CHAT-GPT TERHADAP TEMU BALIK INFORMASI MAHASISWA PROGRAM STUDI PERPUSTAKAAN DAN ILMU INFORMASI

Authors

  • Muhamad Luthfi Maulana Universitas Negeri Padang
  • Marlini Universitas Negeri Padang

Keywords:

ChatGPT, Information Retrieval, Technology Acceptance Model, Library and Information Science Students

Abstract

  1. This study aims to determine the effect of utilizing ChatGPT on information
    retrieval among students of the Library and Information Science Study Program at
    Universitas Negeri Padang. As a form of artificial intelligence (AI), ChatGPT is
    expected to enhance the effectiveness, efficiency, and accuracy of academic
    information searching processes. This research employs a quantitative approach
    with a descriptive method. The population consisted of 91 students, and a sample
    of 75 respondents was selected using the Slovin formula. The research instrument
    was a Likert-scale questionnaire based on indicators from the Technology
    Acceptance Model (TAM) by Fred Davis and the Information Retrieval Model by
    David Ellis. The results indicate that the utilization of ChatGPT in information
    retrieval falls into the beneficial category, with an overall mean score of 3.18. The
    highest score was found in the ease of use indicator (3.40), followed by usefulness
    (3.20), attitude toward use (3.25), and perceived usefulness (3.12). Meanwhile,
    among the information retrieval indicators, verifying obtained the highest average
    score (3.52), while end scored the lowest (2.49). These findings demonstrate that
    ChatGPT assists students in identifying, verifying, and organizing academic
    information effectively, although sufficient information literacy skills are still
    required to ensure the accuracy of retrieved information. Overall, the utilization of
    ChatGPT has a positive influence on improving students’ information retrieval
    abilities and can serve as a supportive digital learning tool within academic
    environments.

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References

Arifatul Fathinah Essa. (2023). Pengaruh manajemen waktu dan prokrastinasi akademik terhadap kemampuan temu balik informasi mahasiswa. Jurnal Ilmu Informasi dan Perpustakaan, 10(2), 115–126.

Baeza-Yates, R., & Ribeiro-Neto, B. (2011). Modern information retrieval: The concepts and technology behind search (2nd ed.). Addison-Wesley.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

EDUCAUSE. (2023). 2023 Horizon report: Teaching and learning edition. EDUCAUSE Publications.

Ellis, D. (1990). New horizons in information retrieval. Journal of Documentation, 46(4), 318–338. https://doi.org/10.1108/eb026843

Floridi, L., & Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30, 681–694. https://doi.org/10.1007/s11023-020-09548-1

Kasneci, E., Sessler, K., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kemendikbudristek. (2023). Laporan statistik perguruan tinggi Indonesia 2023. Direktorat Jenderal Pendidikan Tinggi, Riset, dan Teknologi, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.

Nuralmi, L., Rahayu, S., & Putra, D. (2024). Information overload dan efektivitas pencarian informasi mahasiswa di era digital. Jurnal Pustaka dan Informasi, 15(1), 25–36.

Nuryaman, & Hasbana, M. (2022). Kendala mahasiswa dalam penggunaan basis data online untuk pencarian literatur ilmiah. Jurnal Kajian Informasi, 9(3), 201–212.

Putri, D. A., & Marlini, S. (2019). Analisis kemampuan mahasiswa dalam penggunaan database jurnal elektronik. Jurnal Ilmu Perpustakaan, 8(2), 101–112.

Putri, M., & Santoso, D. (2023). Pemanfaatan ChatGPT sebagai alat bantu akademik mahasiswa di perguruan tinggi. Jurnal Teknologi dan Pembelajaran Digital, 5(1), 45–58.

Spector, A. (2023). AI in higher education: Student use and institutional response. Stanford University Center for Teaching and Learning.

Stanford University. (2023). AI and education: Annual usage report 2023. Stanford Digital Learning Initiative.

Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta.

Times Higher Education. (2023). Survey: How students use ChatGPT for academic purposes. Times Higher Education.

Utami, R. (2024). Pemanfaatan kecerdasan buatan (AI) dalam meningkatkan efektivitas pencarian informasi akademik mahasiswa. Jurnal Informasi dan Teknologi Pendidikan, 12(1), 55–67.

Yudisman, R. (2019). Evolusi konsep temu balik informasi dalam konteks literasi digital. Jurnal Pustaka Ilmiah, 7(2), 89–100.

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Published

2025-10-21

Issue

Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 Build

Section

Articles

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