Rosyid R. Al-Hakim, Ryan A. P. Putra, Agung Pangestu, Iman Widhiarto, Muhammad Yusro, Yanuar Z. Arief
Military recruitment demands careful evaluation across multiple dimensions, including administrative eligibility, physical fitness, cognitive ability, and psychological readiness. This paper presents the development of an intelligent decision support system (DSS) designed to assist and enhance recruitment decisions in the military sector. Leveraging a rule-based expert system, the DSS applies the Certainty Factor (CF) model to manage uncertainty and combines it with a Forward Chaining inference mechanism for explainable reasoning. The system was built with guidance from military domain experts and tested through simulations using 20 candidate profiles. Results indicate strong alignment with human expert judgment, achieving 87% accuracy and delivering transparent recommendations based on structured rules and confidence scores. Unlike conventional black-box models, the DSS offers full traceability for each decision made, ensuring accountability and consistency-qualities essential in defense-related processes. Beyond its current capabilities, the system is designed to be scalable and adaptable. It can accommodate evolving recruitment policies and integrate additional evaluation criteria, such as biometric data. Although current CF weights rely on expert input, future development may involve dynamic rule optimization through machine learning or feedback mechanisms. In conclusion, the proposed DSS serves as a practical and explainable tool that bridges expert knowledge with intelligent automation. It offers a forward-looking approach to improving fairness, efficiency, and transparency in military recruitment processes. © 2025 IEEE.
Universitas Harapan Bangsa, Dept. of Information System, Purwokerto, Indonesia; Jakarta Global University, Dept. of Electrical Engineering, Depok, Indonesia; Headquarters of the Indonesian Army (MABES TNI AD), Indonesian Armed Forces (TNI), Jakarta, Indonesia; Faculty of Engineering, Universitas Pancasila, Jakarta, Indonesia; Universitas Muhammadiyah Jakarta, Dept. of Public Administration, Jakarta, Indonesia; Depok 0508 Military District Command, Indonesian Armed Forces (TNI), Depok, Indonesia; Universitas Negeri Jakarta, Dept. of Electronics Engineering, Jakarta, Indonesia; Universiti Malaysia Sarawak Kota, Dept. of Electrical and Electronic Engineering, Samarahan, Malaysia
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