Analisis Dampak Penggunaan Artificial Intelligence Terhadap Lapangan Kerja Pada Mahasiswa Universitas Pahlawan
DOI:
https://doi.org/10.63453/general.v3i2.84Keywords:
artificial intelligence, lapangan kerja, persepsi mahasiswa, naive bayes, transformasi digitalAbstract
Introduction:
The rapid development of Artificial Intelligence (AI) has significantly transformed various sectors, particularly the labor market. While AI offers opportunities to improve efficiency and productivity, it also raises concerns regarding the potential reduction of human labor demand in certain occupations. This study aims to analyze the perceptions of Universitas Pahlawan students regarding the impact of AI on employment and to determine whether AI is predominantly perceived as an opportunity or a threat.
Methods:This study employed a quantitative research approach using the Naive Bayes algorithm as the primary classification method. Data were collected through an online questionnaire distributed to 100 Universitas Pahlawan students who had prior experience using AI technologies. The collected data were analyzed to classify respondents' perceptions into opportunity, threat, and neutral categories.
Results:
The findings revealed that 38% of respondents perceived AI as an opportunity, 37% viewed it as a threat, and 25% expressed a neutral perception. Furthermore, the Naive Bayes classification results indicated that the opportunity category had the highest probability, suggesting that most respondents tend to hold positive perceptions of AI in the context of future employment.
Conclusion and Suggestion:
The study concludes that Universitas Pahlawan students generally perceive AI as an opportunity rather than a threat in the workplace. Nevertheless, continuous efforts to enhance digital literacy, technological competencies, and adaptability are essential to enable students to respond effectively to the evolving demands of the AI-driven labor market. Future research is recommended to involve a larger and more diverse sample across different universities and demographic backgrounds to improve the generalizability of the findings.
Downloads
References
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
Deepa, R., Sekar, S., Malik, A., Kumar, J., & Attri, R. (2024). Managerial capabilities required for adopting AI in HRM: A systematic literature review and bibliometric analysis. Technological Forecasting and Social Change, 203, 123381. https://doi.org/10.1016/j.techfore.2024.123381
Du, J. (2024). Do humans trust AI in HRM? Why do? Why not? Insights from a decade of research. Journal of Research in Social Science and Humanities, 3(7), 20–48.
Hasugian, Y. E. (2026). Analisis dampak Artificial Intelligence (AI) terhadap Sektor Tenaga Kerja di Indonesia. Majelis : Jurnal Hukum Indonesia, 3(1), 84–101. https://doi.org/https://doi.org/10.62383/majelis.v3i1.1501
Mustofa, R. H., Kuncoro, T. G., Atmono, D., & Hermawan, H. D. (2025). Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students. Computers and Education: Artificial Intelligence, 8, 100379. https://doi.org/10.1016/j.caeai.2025.100379
Ramadhana, R. Z., & Nasution, M. I. P. (2024). Analisis Dampak Penerapan Teknologi AI pada Pengambilan Keputusan Strategis dalam Sistem Informasi Manajemen. Jurnal Ilmiah Research and Development Student (JIS), 2(1), 161–168. https://doi.org/https://doi.org/10.59024/jis.v2i1.579
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Wibowo, E. S. A., Andy, Angelin, Raditya, I. M. G., Alnandez, L., & Iman, M. F. S. (2025). Apakah AI Sebagai Ancaman atau Justru Menjadi Peluang Bagi Dunia Kerja? Jurnal Publikasi Sistem Informasi Dan Manajemen Bisnis, 4(3), 636–654. https://doi.org/https://doi.org/10.55606/jupsim.v4i3.6033
Zikriah. (2023). Dampak Artificial Intelligence Terhadap Perkembangan Lapangan Pekerjaan Di Kota Jakarta Timur Tahun 2020 – 2022 (Literature Review). Journal of Engineering, Technology and Computing (JETCom), 2(3), 240–246. https://journal.binainternusa.org/index.php/jetcom







