Erlangga Alva Rizqi, Tatag Herbayu Latukismo, Ismi Chikita Slavina, Muhammad Ridha Ajam, Muhsin N. Bailusy, Aulia Ishak, Erni Febrina Harahap, A. Ahyuna, Dedeng Irawan, Mohamad Ihwani, S. Sulistyowati, Andar Sri Sumantri, Widhy Wahyani, Moh Furqan
Employee selection is a critical process for organizations, yet traditional methods are often inefficient and prone to bias. This study presents a Decision Support System (DSS) integrated with a neural network model to automate and optimize employee selection. The proposed system evaluates candidates using a multi-criteria approach, incorporating features such as education, experience, skills match, test scores, and interview ratings. Neural networks predict suitability probabilities, which are combined with weighted criteria to rank candidates comprehensively. The model achieved a high accuracy of 90% with an F1-Score of 89%, demonstrating its reliability in predicting candidate suitability. Results show that the system effectively balances neural network predictions with feature-based criteria, mitigating bias and ensuring fairness. Candidates with diverse strengths are ranked holistically, reflecting the system's adaptability. The model also demonstrated scalability, processing candidate data efficiently, making it suitable for high-volume recruitment scenarios. Future research should focus on expanding datasets, incorporating advanced neural architectures like explainable AI, and integrating psychometric and behavioral assessments. Testing the system in live recruitment environments and aligning it with organizational applicant tracking systems could further enhance its practical applicability, paving the way for more inclusive and efficient workforce selection processes. © 2026 Author(s).
Universitas Krisnadwipayana, Jakarta, Indonesia; Universitas Khairun, Ternate, Indonesia; Universitas Sumatera Utara, Medan, Indonesia; Universitas Bung Hatta, Padang, Indonesia; Universitas Dipa Makassar, Makassar, Indonesia; Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia; Universitas Negeri Medan, Medan, Indonesia; Universitas Maritim AMNI, Semarang, Indonesia; Institut Teknologi Nasional Malang, Malang, Indonesia; Universitas Nurul Jadid, Probolinggo, Indonesia