Penerapan Kecerdasan Buatan Dalam Peningkatan Efektivitas Rekrutmen: Studi Kasus Pada Perusahaan Outsourcing
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The Industry 5.0 era demands organizations to integrate technology and human roles for business sustainability. This study aims to analyze the implementation of Artificial Intelligence (AI) through the n8n workflow automation platform in enhancing recruitment effectiveness at an outsourcing company in Gresik. The research method used is descriptive qualitative, with data collection techniques including unstructured interviews, participatory observation, and documentation during internship activities. The results indicate that the integration of n8n and Gemini AI is capable of automating mass CV screening, increasing selection process speed, and reducing the administrative burden of the HR division. Nevertheless, technical constraints were found in the form of non-uniform document formats and the need for manual verification to ensure final accuracy. This study concludes that AI serves as a significant decision-support tool but still requires human supervision to maintain selection quality.
Keywords: Artificial Intelligence, Recruitment, n8n, HR Effectiveness, Outsourcing.
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Bersin, J. (2018). Talent management in the digital age. Deloitte Insights.
Black, J. S., & van Esch, P. (2020). AI-enabled recruiting: What is it and how should a manager use it? Business Horizons, 63(2), 215–226. https://doi.org/10.1016/j.bushor.2019.12.001
Chamorro-Premuzic, T., Winsborough, D., Sherman, R. A., & Hogan, R. (2016). New talent signals: Shiny new objects or a brave new world? Industrial and Organizational Psychology, 9(3), 621–640. https://doi.org/10.1017/iop.2016.6
Dessler, G. (2020). Human resource management (16th ed.). Pearson Education.
European Commission. (2021). Industry 5.0: Towards a sustainable, human-centric and resilient European industry. Publications Office of the European Union. https://doi.org/10.2777/308407
Highhouse, S. (2014). Designing personnel selection procedures. In J. K. Ford, J. R. Hollenbeck, & A. M. Ryan (Eds.), The Oxford handbook of personnel assessment and selection (pp. 67–86). Oxford University Press.
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human–AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability, 11(16), 4371. https://doi.org/10.3390/su11164371
Özdemir, V., & Hekim, N. (2018). Birth of Industry 5.0: Making sense of big data with artificial intelligence, “the internet of things” and next-generation technology policy. OMICS: A Journal of Integrative Biology, 22(1), 65–76. https://doi.org/10.1089/omi.2017.0194
Ployhart, R. E., Schmitt, N., & Tippins, N. T. (2017). Staffing organizations: Contemporary practice and theory (4th ed.). Routledge.
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Tursunbayeva, A., Di Lauro, S., & Pagliari, C. (2018). People analytics—A scoping review of conceptual boundaries and value propositions. International Journal of Information Management, 43, 224–247. https://doi.org/10.1016/j.ijinfomgt.2018.08.002
Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258. https://doi.org/10.1108/SHR-07-2018-0051
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial intelligence, robotics, advanced technologies and human resource management: A systematic review. Employee Relations: The International Journal, 44(3), 1–26. https://doi.org/10.1108/ER-01-2021-0036
DOI: https://doi.org/10.37531/yume.v9i1.11132
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