TREN PENELITIAN ARTIFICIAL INTELLIGENCE DALAM BIDANG SOSIAL DAN HUMANIORA: KAJIAN SCIENTOMETRIKA PADA DATABASE SCOPUS TAHUN 2015–2025
Keywords:
artificial intelligence, Biblioshiny, humanities, scientometric, social science
Abstract
This study aims to analyze the scientific publication trends on Artificial Intelligence (AI) in the fields of social sciences and humanities through a scientometric approach. The main issue addressed is the lack of systematic mapping of AI research development in social and humanistic contexts based on bibliometric data. The study employs a quantitative descriptive method with scientometric analysis using publication data from the Scopus database from 2015 to 2025. The analysis focuses on identifying publication trends, the most productive authors and institutions, scientific collaboration, and emerging core themes. The findings reveal a significant increase in publication volume, the dominance of institutions from developed countries, and the emergence of research clusters focusing on ethics, education, economics, and psychology. The study concludes that AI has become an integral part of social and humanities studies with increasingly interdisciplinary approaches. This research is expected to serve as an important reference for academics and policymakers in developing evidence-based research strategies and policies.
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3. Darmana, F., Sudirman, A., Romlah, O. Y., Trihastuti, M., & Bachrudin, A. (2023). Analisis Bibliometrik Perkembangan Penelitian Bidang Ilmu Kewarganegaraan. Mores: Jurnal Pendidikan Hukum, Politik, dan Kewarganegaraan, 5(2), 59–68. https://doi.org/10.14203/j.baca.v43i2.854
4. Haris, M. T. A. R., & Tantimin, T. (2022). Analisis Pertanggungjawaban Hukum Pidana Terhadap Pemanfaatan Artificial Intelligence Di Indonesia. Jurnal Komunikasi Hukum (JKH), 8(1), 307–316. https://doi.org/10.23887/jkh.v8i1.44408
5. Hidayanti, D. M., & Susanto, J. (2024). Tren Penelitian Penggunaan Artificial Intelligence dalam Manajemen Pemasaran Digital: Kajian Bibliometric Vosviewers. Jurnal Riset Manajemen, 2(3). https://jurnal.itbsemarang.ac.id/index.php/jurma/article/view/2219
6. Indriani, P. (2025). Peran Artificial Intelligence dalam bidang Akuntansi. Jurnal Mahasiswa Ekonomi & Bisnis, 5(1), 436–443. https://binus.ac.id/bekasi/accounting-technology/2021/10/14/peran-artificial-intelligence-dalam-bidang-akuntansi/
7. Iriyani, S. A., Hadi, H. S., Marlina, M., Patty, E. N. S., & Irhas, I. (2023). Analisis Bibliometrik dengan VOSViewer: Studi Artificial Intelegence dalam Pendidikan. Jurnal Simki Pedagogia, 6(2), 339–349. https://doi.org/10.29407/jsp.v6i2.287
8. Istiana, P. (2022). Analisis Bibliometrik Perkembangan Penelitian Bidang Ilmu Geografi. Baca: Jurnal Dokumentasi dan Informasi, 43(2), 69. https://doi.org/10.14203/j.baca.v43i2.854
9. Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2(1). https://doi.org/10.1007/s44163-022-00022-8
10. Mooghali, A., Alijani, R., Karami, N., & Khasseh, A. (2011). Scientometric Analysis of the Scientometric Literature. International Journal of Information Science and Management, 9(1), 19–31.
11. Pramesti, C., Aristawati, N. V., Elshafa, D., Wikantyasning, D., Salsabilla, A. S., Kusrohmaniah, S., & Sulastri, A. (2025). Analisis Bibliometrik: Artificial Intelligence dan Otak dalam Neuropsikologi. Jurnal Ilmiah Universitas Bhayangkara Jakarta Raya, 25(1), 383–393. https://doi.org/10.33087/jiubj.v25i1.5817
12. Putri, A. P. (2024). Transformasi Akuntansi di Era Big Data dan Teknologi Artificial Intelligence (AI). Jurnal Cahaya Mandalika, 5(2), 937–943.
13. Rachmadana, S. L., Alkusuma Putra, S. A., & Difinubun, Y. (2022). Dampak Artificial Intelligence Terhadap Perekonomian. Financial and Accounting Indonesian Research, 2(2), 71–82. https://doi.org/10.36232/jurnalfairakuntansiunimuda.v2i2.3837
14. Ramesh, A. N., Kambhampati, C., Monson, J. R. T., & Drew, P. J. (2004). Artificial intelligence in medicine. Annals of the Royal College of Surgeons of England, 86(5), 334–338. https://doi.org/10.1308/147870804290
15. Ramy, A., Floody, J., Ragab, M. A. F., & ... (2018). A scientometric analysis of Knowledge Management Research and Practice literature: 2003–2015. Knowledge Management Research & Practice. https://doi.org/10.1080/14778238.2017.1405776
16. Sahara, S., Ilmi, M., & Silalahi, R. Y. B. (2023). Pendampingan Edukasi Cerdas Menyikapi Tren AI (Artificial Intelligence) dalam Dunia Pendidikan. Jurnal Penelitian dan Pengabdian Masyarakat, 1(4), 354–364. https://doi.org/10.61231/jp2m.v1i4.169
17. Sentiana, F., Mustofa, M. B., & Wuryan, S. (2024). Pemanfaatan artificial intelligence pada layanan informasi di perpustakaan. Pustaka Karya: Jurnal Ilmiah Ilmu Perpustakaan dan Informasi, 12(2), 247–258.
18. Serenko, A., Hardie, T., Bontis, N., Booker, L., & Sadeddin, K. (2010). A scientometric analysis of knowledge management and intellectual capital academic literature (1994–2008). Journal of Knowledge Management, 14(1), 3–23. https://doi.org/10.1108/13673271011015534
19. Tupan, T. (2024). Perkembangan Penelitian Penggunaan Artificial Intelligence di Perpustakaan Berbasis Data Scopus. Media Pustakawan, 31(3), 277–290.
20. Tupan, T., Rahayu, R. N., Rachmawati, R., & Rahayu, E. S. R. (2018). Analisis Bibliometrik Perkembangan Penelitian Bidang Ilmu Instrumentasi. Baca: Jurnal Dokumentasi dan Informasi, 39(2), 135. https://doi.org/10.14203/j.baca.v39i2.413
21. Yusuf, M. F. M., Garusu, I. A., & Rauf, D. M. (2024). Sistem Penerapan Artificial Intelligence Dalam Akuntansi. JISDIK: Jurnal Ilmiah Ilmu Sosial dan Pendidikan, 2(2), 1–7.
Published
2025-07-14
How to Cite
Sanjaya, R. (2025). TREN PENELITIAN ARTIFICIAL INTELLIGENCE DALAM BIDANG SOSIAL DAN HUMANIORA: KAJIAN SCIENTOMETRIKA PADA DATABASE SCOPUS TAHUN 2015–2025. HUMANIS: Jurnal Ilmu-Ilmu Sosial Dan Humaniora, 17(2), 193-205. https://doi.org/https://doi.org/10.52166/humanis.v17i2.9498
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Articles
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