PENGEMBANGAN WORKFLOW PENYARINGAN RESUME PELAMAR MENGGUNAKAN N8N DAN GENERATIVE AI PADA YAYASAN INSAN CITA MULIA
DOI:
https://doi.org/10.52060/2zsdgk16Abstrak
Peningkatan jumlah lamaran kerja dalam proses rekrutmen menimbulkan tantangan bagi Human Resource (HR) dalam melakukan penyaringan resume secara efisien. Penelitian ini bertujuan untuk mengembangkan workflow penyaringan resume pelamar menggunakan n8n dan Generative AI pada Yayasan Insan Cita Mulia. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D) dengan model pengembangan perangkat lunak Waterfall. Hasil pengujian Black Box menunjukkan bahwa seluruh fungsi utama workflow berjalan sesuai dengan kebutuhan pengguna. Hasil User Acceptance Testing menunjukkan bahwa workflow yang dikembangkan dapat diterima dengan baik oleh pengguna berdasarkan aspek functional suitability, interaction capability, dan performance efficiency.
Referensi
Bartoš, V., Bauer, M., Chytilová, J., & Matějka, F. (2016). Attention discrimination: Theory and field experiments with monitoring information acquisition. American Economic Review, 106(6), 1437–1475. https://doi.org/10.1257/aer.20140571
Broecke, S. (2023). Artificial intelligence and labour market matching. OECD Social, Employment and Migration Working Papers, 284. https://doi.org/10.1787/2b440821-en
Buijsman, S., Carter, S. E., & Bermúdez, J. P. (2025). Autonomy by design: Preserving human autonomy in AI decision-support. Philosophy & Technology, 38(3), 97. https://doi.org/10.1007/s13347-025-00932-2
Cortini, M., Galanti, T., & Barattucci, M. (2019). The effect of different rejection letters on applicants’ reactions. Behavioral Sciences, 9(10), 102. https://doi.org/10.3390/bs9100102
Dooley, J. F. (2017). Software development, design and coding. Apress. https://doi.org/10.1007/978-1-4842-3153-1
Employ Inc. (2026). 2026 hiring benchmarks report. https://www.employinc.com/employ-benchmarks-report/
Fortune Business Insights. (2025). Online recruitment technology market size, share & industry analysis. https://www.fortunebusinessinsights.com/online-recruitment-market-103730
Harris, C. G. (2018). Making better job hiring decisions using “human in the loop” techniques. HumL@ISWC. https://ceur-ws.org/Vol-2169/paper-03.pdf
Ling, B., Dong, B., & Cai, F. (2024). Applicants’ fairness perception of human and AI collaboration in resume screening. International Journal of Human–Computer Interaction, 41(17), 10787–10798. https://doi.org/10.1080/10447318.2024.2437235
Lo, F. P. W., Qiu, J., Wang, Z., Yu, H., Chen, Y., Zhang, G., & Lo, B. (2025). AI hiring with LLMs: A context-aware and explainable multi-agent framework for resume screening. arXiv. https://doi.org/10.48550/arXiv.2504.02870
McFeetors, J., & Pant, T. (2022). Rapid product development with n8n. Packt Publishing.
Pawar, N., Deshpande, S., Hajare, A., Wagh, S., Wakode, S., Thorat, A., & Dulange, V. (2025). Workflow engines for task automation: Taxonomy and analysis. IEEE. https://doi.org/10.1109/ICETI4T63625.2025.11132233
Pennivessuk, P., & Kangkachit, T. (2026). Enhancing recruitment efficiency through a performance-driven AI agent workflow for automated resume screening. IEEE. https://doi.org/10.1109/ECTIDAMTNCON67592.2026.11460004
Salimi, W. K., Kusumasari, T. F., & Suakanto, S. (2025). Leveraging N8N agent platform and AI for automated job candidate screening. IEEE. https://doi.org/10.1109/ICAICTA67604.2025.11335111
Santareno, J. (2025). Generative artificial intelligence in candidate selection. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-89948-5_4
Saravanos, A., & Curinga, M. X. (2023). Simulating the software development lifecycle: The Waterfall model. Applied System Innovation, 6(6), 108. https://doi.org/10.3390/asi6060108
SmartRecruiters. (2026). Global recruiting benchmarks 2026. https://www.smartrecruiters.com/resources/landing/global-recruiting-benchmarks-2026/
Sommerville, I. (2016). Software engineering (10th ed.). Pearson Education.
Tuyishime, A., Basciani, F., Di Salle, A., Izquierdo, J. L. C., & Iovino, L. (2024). Streamlining workflow automation with a model-based assistant. IEEE. https://doi.org/10.1109/SEAA64295.2024.00035
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Kata Kunci:
n8n, Generative AI, Workflow, Penyaringan Resume, Waterfall
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2026-05-30
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Bagian
Articles
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Hak Cipta (c) 2026 Jurnal Bisnis Digital
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