Decision Support System for Permanent Lecturer Recruitment at STMIK Mulia Darma Using the Simple Additive Weighting (SAW) Method
Keywords:
Decision Support System, Simple Additive Weighting, Lecturer Recruitment, Multi-Criteria Decision Making, STMIK Mulia DarmaAbstract
Selecting qualified academic personnel is critical for higher education institutions to maintain academic excellence and accreditation standards. At STMIK Mulia Darma, the recruitment process for permanent lecturers historically faced challenges related to multi-criteria evaluation complexity, administrative delays, and potential subjective bias when handled manually. This study aims to develop and implement a web-based Decision Support System (DSS) utilizing the Simple Additive Weighting (SAW) method to streamline and objective candidate screening. The evaluation incorporates five key criteria: Educational Background C1, Microteaching Score C2, Publication and Research Record C3, Interview Performance C4, and Expected Salary C5. Through matrix normalization and weighted aggregation, the system calculates final preference scores to rank applicants. In empirical trials, Candidate A3 achieved the highest preference score V3 = 0.940, demonstrating the method's effectiveness in balancing academic competencies against cost parameters. System testing via Black-Box Testing yielded a 100% functional success rate, while algorithmic accuracy verification confirmed 100% alignment between automated system outputs and manual calculations. Ultimately, the developed system effectively minimizes subjective bias, enhances decision-making efficiency, and provides a reliable framework for faculty recruitment at STMIK Mulia Darma.
References
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Fitriani, A., Santoso, B., & Setiawan, H. (2024). Optimization of decision support systems in academic staff recruitment using hybrid MCDM approaches. Journal of Information Systems and Technology Management, 9(1), 45–58. https://doi.org/10.24089/jistm.v9i1.312
Haswan, F. (2021). Decision support system for lecturer performance evaluation using Simple Additive Weighting (SAW) method. Journal of Computer Networks, Architecture and High Performance Computing, 3(1), 12–19. https://doi.org/10.47709/cnahpc.v3i1.921
Pratama, I. M., Agustin, R., & Wibowo, A. (2023). Reducing human bias in recruitment process through algorithmic decision support tools. Journal of Applied Computer Science and Technology, 4(2), 89–97.
Suryanto, A., & Safrizal, M. (2020). Strategic decision support system for university faculty recruitment. Journal of Information Technology and Computer Science, 5(2), 140–152.
Turban, E., Sharda, R., & Delen, D. (2021). Analytics, data science, & artificial intelligence: Systems for decision support (11th ed.). Pearson.
