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Abstract
This study aims to analyze Human Resources (HR) perceptions regarding the utilization of Artificial Intelligence (AI) in the recruitment process of lecturers and educational staff at Universitas Kartamulia Purwakarta. Amidst the increasing volume of applications and limited staffing, technology adoption is inevitable; however, its application in an academic environment raises specific dynamics concerning humanist aspects and institutional values. This study employs a qualitative approach with a single case study method. Data were collected through semi-structured interviews with 8 participants selected via purposive sampling and analyzed using thematic analysis. The results yielded four main themes: 1) full recognition of AI's potential for efficiency in administrative stages; 2) concerns regarding the loss of humanist aspects, character, and institutional cultural fit; 3) a consensus that AI should be positioned as a supporting tool rather than a final decision-maker; and 4) the necessity of prerequisites such as socialization, training, and IT infrastructure upgrades. This study concludes that HR in private higher education institutions hold a positive yet cautious attitude towards AI. A human-in-the-loop collaborative model emerges as the most ideal approach to maintain academic integrity while achieving operational efficiency.
Keywords: Artificial Intelligence, Recruitment, Human Resources, Higher Education, Perception.
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References
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References
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking Qualitative Rigor in Inductive Research. Organizational Research Methods, 16(1), 15–31. https://doi.org/10.1177/1094428112452151
Grønsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. The Journal of Strategic Information Systems, 29(2), 101614. https://doi.org/10.1016/J.JSIS.2020.101614
Hakiki, C., Subaktio, R., & Febby Angelia, M. M. (2025). Analisis Sistem Pengendalian Manajemen Terhadap Kinerja Keuangan Pada Bank Konvensional Dengan Mediasi Sistem Informasi Akuntansi. YUME : Journal of Management, 8(3), 1154–1163. https://doi.org/10.37531/YUM.V8I3.10071
Harsanti, H. R., Sudibjo, N., Riady, S., & Yu, P. (2025). Exploring Indonesian teachers’ intention to use artificial intelligence in schools: the impact of digital leadership, digital readiness, and perceived usefulness. Cogent Social Sciences, 11(1). https://doi.org/10.1080/23311886.2025.2593596
Heinonen, K., Campbell, C., & Ferguson, S. L. (2019). Erratum to “Strategies for creating value through individual and collective customer experiences” [Bus Horiz 62 (1), (January–February 2019) 95-104]. Business Horizons, 62(6), 831–832. https://doi.org/10.1016/J.BUSHOR.2019.08.006
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at Work: The New Contested Terrain of Control. Https://Doi.Org/10.5465/Annals.2018.0174, 14(1), 366–410. https://doi.org/10.5465/ANNALS.2018.0174
Mardiman, Lintang Kinanthi, H., & Fachmi, M. (2026). ANALISIS PERSEPSI KARYAWAN TERHADAP KEPEMIMPINAN DAN LINGKUNGAN KERJA PADA PERUSAHAAN STARTUP BERDASARKAN ULASAN MEDIA DIGITAL GLASSDOOR. Ekonis: Jurnal Ekonomi Dan Bisnis, 28(1). https://e-jurnal.pnl.ac.id/ekonis/article/view/9002
Mardiman, M., Taufik, T., Bagaskoro, M. R., & Rasiwan, I. (2026). Analisis Korelasi Kepatuhan Hukum K3 Terhadap Produktivitas SDM Melalui Data Kecelakaan Kerja Nasional Portal Satu Data. Jurnal Indragiri Penelitian Multidisiplin, 6(2), 166–172. https://ejournal.indrainstitute.id/index.php/jipm/article/view/1552
Mardiman, M., Taufik, T., Rasiwan, I., Syahrial, A., Hendiyani, R., & Kusuma, A. B. (2026). Dampak Program Pelatihan Soft Skills Terhadap Peningkatan Kompetensi Karyawan | Media Mahardhika. Media Mahardhika. https://ojs.stiemahardhika.ac.id/index.php/mahardika/article/view/1452
Mardiman, Putra, J. P., Sobirin, L. A., & Firdaus, M. I. A. (2026). Perlindungan Hukum dan Manajemen Kontrak Atlet Muda Sepak Bola Indonesia dalam Analisis Kepatuhan Terhadap Regulasi PSSI. Jurnal Indragiri Penelitian Multidisiplin, 6(2), 179–184. https://ejournal.indrainstitute.id/index.php/jipm/article/view/1549
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16(1). https://doi.org/10.1177/1609406917733847;WGROUP:STRING:PUBLICATION
Pan, Y., Froese, F., Liu, N., Hu, Y., & Ye, M. (2022). The adoption of artificial intelligence in employee recruitment: The influence of contextual factors. The International Journal of Human Resource Management, 33(6), 1125–1147. https://doi.org/10.1080/09585192.2021.1879206
Patton, M. Q., & Patton, M. Q. (2023). Qualitative Research & Evaluation Methods : Integrating Theory and Practice by Patton, Michael Quinn.
Pratama, Y. A., Isnajati, L. M., & Djabbar, H. (2025). Objektivitas Ai Dalam Rekrutmen Dan Seleksi: Solusi Atau Tantangan? JEMPER (Jurnal Ekonomi Manajemen Perbankan), 7(1), 54–72.
Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020). Mitigating bias in algorithmic hiring: Evaluating claims and practices. FAT* 2020 - Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 469–481. https://doi.org/10.1145/3351095.3372828;WGROUP:STRING:ACM
Rosenblat, A., Levy, K. E. C., Barocas, S., & Hwang, T. (2017). Discriminating Tastes: Uber’s Customer Ratings as Vehicles for Workplace Discrimination. Policy and Internet, 9(3), 256–279. https://doi.org/10.1002/POI3.153
Sagita, P., Yulia, S., Fahran, A., Zagladi, A. N., & Nora, E. (2018). Human resource management in the digital age: Current and future challenges. Human Resource Management Review, 28(2), 141–145.
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and A path forward. California Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910;SUBPAGE:STRING:ABSTRACT;REQUESTEDJOURNAL:JOURNAL:CMRA;WEBSITE:WEBSITE:SAGE;WGROUP:STRING:PUBLICATION
Venkatesh, V., Thong, J. Y. L., Xu, X., Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 1. https://doi.org/10.17705/1jais.00428
Wesche, J. S., & Sonderegger, A. (2021). Repelled at first sight? Expectations and intentions of job-seekers reading about AI selection in job advertisements. Computers in Human Behavior, 125, 106931. https://doi.org/10.1016/J.CHB.2021.106931
Yin, R. K., Calvin, Y., & Mali, G. (2018). Case Study Research and Applications: Design and Methods (6 th ed.). https://doi.org/http://dx.doi.org/10.1563