PEMANFAATAN ARTIFICIAL INTELLIGENCE BERBASIS GOOGLE GEMINI DAN APPS SCRIPT DALAM TATA KELOLA SDM

Ahmad Nur Sholikin; Alivia Nurkholivvah; Anggit Wahyu Nur Hadini; Christofel J. A. Roringkon; Hidayaturahmi Hidayaturahmi

doi:10.35760/mkm.2025.v9i1.15085

PEMANFAATAN ARTIFICIAL INTELLIGENCE BERBASIS GOOGLE GEMINI DAN APPS SCRIPT DALAM TATA KELOLA SDM

Ahmad Nur Sholikin
Universitas Indonesia
Indonesia

Alivia Nurkholivvah
Badan kepegawaian Negara
Indonesia

Anggit Wahyu Nur Hadini
Kementerian Agama dan Tata Ruang
Indonesia

Christofel J. A. Roringkon
Kementerian Perhubungan
Indonesia

Hidayaturahmi Hidayaturahmi
orcid

http://orcid.org/0000-0002-7668-8087
Politeknik STIA LAN
Indonesia

DOI: http://dx.doi.org/10.35760/mkm.2025.v9i1.15085

Abstract

This study is aimed to examine the implementation of an artificial intelligence (AI)-based recruitment system at the Human Resources Directorate of Universitas Indonesia, focusing on the selection of structural officers (section and subsection heads). Utilizing simple AI tools such as Google Gemini and Google Apps Script, the initiative aimed to enhance recruitment efficiency and objectivity. This study uses descriptive qualitative. The findings show that AI significantly improved the speed and accuracy of candidate screening, reduced administrative workload, and minimized unconscious bias thereby strengthening meritocracy. Furthermore, the role of HR professionals evolved from administrative functions to more analytical and strategic tasks. The success of this transformation is attributed to the application of a strong human-in-the-loop principle, ensuring that AI functions as a decision-support tool, with final decisions remaining under human authority. Challenges related to data format, algorithmic limitations, ethical concerns, and organizational resistance were effectively mitigated through standardized protocols, data protection policies, and change management strategies. The study also highlights key institutional innovations, including the formalization of standard operating procedures (SOPs), development of AI ethics guidelines, and a roadmap for wider AI adoption in HR functions. This case provides a replicable model for responsible and impactful use of AI in public sector HR management.

Keywords

Artificial Intelligence, Human Resource Management, Recruitment, AI Management

References

Dubois, D.D., & Rothwell, W. J. (2004). Competency Based Human Resources Management. Davies Black Publishing.

Fath, S. (2023). When Blind Hiring Advances DEI and When It Doesn’t. Harvard Business Review. https://hbr.org/2023/06/when-blind-hiring-advances-dei-and-when-it- doesnt

Hartoko, M. S. (2016). Rekrutmen Calon Karyawan Tetap (Studi Kasus Politeknik LP3I Jakarta Kampus Pasar Minggu). Jurnal Akuntansi, Ekonomi, Dan Manajemen Bisnis, 4(2), 122–127.

Hasibuan, M. (2017). Manajemen Sumber Daya Manusia. Bumi Askara.

Herna & Wijaya, W.V., 2025. Merangkul Inovasi: Makna Adopsi Artificial Intelegence Dalam Praktik Kehumasan Profesional, Mediakom: Jurnal Ilmu Komunikasi, Vol.9 (1).

Hoover, R. (2024). The Role of Human Oversight in Responsible AI Systems. November. https://www.researchgate.net/publication/386245696_The_Role_of_Human_Overs ight_in_Responsible_AI_Systems

Hu, Q. (2023). Unilever ‘ s Practice on AI-based Recruitment. Highlights in Business, Economics and Management, 16, 256–263.

Jackson, S. E., Schuler, R. S., & Werner, S. (2009). Managing Human Resources.Cengage Learning.

Linkedin. (2025). Bangun AI Agent untuk Screening CV dalam Rekrutmen HR. Unchained Intelligence for Enterprises. https://id.linkedin.com/pulse/bangun-ai- agent-untuk-screening-cv-dalam-rekrutmen-hr-soca-ai-qsbnc

Littlejohn, S., & Foss, K. A. (2022). Ensiklopedia Teori Komunikasi. Kencana Prenada Media Group.

Meiyer, S. (2020). Pengaruh Rekrutmen Seleksi dan Penempatan Karyawan terhadap Kinerja Frontliner pada Bank BNI Kantor Cabang Salatiga. Business Economic Entrepreneurship, 3(2), 90–97.

Meldona. (2009). Manajemen Sumber Daya Manusia Perspektif Integratif (1st ed.). UIN- Malang Press.

Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative Data Analysis A Methods Sourcebook (3rd ed.). Sage Publications.

Nawawi, H. (2005). Manajemen Strategik. Universitas Gadjah Mada.

Nawrat, A. (2025). IBM CHRO survey: ‘Agentic AI has significant potential, but to capture its full value, it requires preparing your workforce to work with AI agents.’ UNLEASH. https://www.unleash.ai/artificial-intelligence/ibm-chro-survey- agentic-ai-has-significant-potential-but-to-capture-its-full-value-it-requires- preparing-your-workforce-to-work-with-ai-agents/

Pawestri, D. A., Erti, Y., Dewi, P., Kristen, U., Wacana, S., & Salatiga, K. (2023). Pengaruh Person-Organization Fit dan Kepuasan Kerja terhadap Turnover Intention dengan Budaya Organisasi sebagai Variabel Mediasi The Effect of Person- Organization Fit and Job Satisfaction on Turnover Intention with Organizational Culture as a Mediation V. Jurnal Samudra Ekonomi Dan Bisnis, 14(28), 177–187. https://doi.org/10.33059/jseb.v14i1.5342.Kata

Pratap, S., & Rathore, S. (2023). The Impact of AI on Recruitment and Selection Processes : Analysing the role of AI in automating and enhancing recruitment and selection procedures. International Journal For Global Academic & Scientific Research (IJGASR), 2(2), 78–93.

Sajjadiani, S. (2022). Using Machine Learning to Translate Applicant Work History Into Predictors of Performance and Turnover. Journal of Applied Psychology, 1–60.

Teodorine, M., Indrawan, G. B., Manuel, M., & Stefanus, A. (2024). Strategic Use of AI Image Generators for Product Development and Market Expansion In The Bakery Business. Journal Of Accounting And Finance Management (JAFM), 5(3), 297–313. https://dinastires.org/JAFM/article/view/664/484