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All Journal Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Septie Sukmaya
Universitas Pakuan
Computer Science & IT Control & Systems Engineering Mathematics

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Decision Support System for Civil Servant Mutation Using ORESTE Victor Ilyas Sugara Sugara; Aries Maesya; Septie Sukmaya; Endang Suhendar
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 2 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i2.104

Abstract

This study presents the development of a web-based Decision Support System (DSS) for determining civil servant mutations at the Center for Standardization of Food Crop Instruments (PSITP) Bogor using the Organization, Rangement et Synthèse de Données Relationnelles (ORESTE) method. The existing mutation process was conducted manually using Microsoft Excel, making it susceptible to calculation errors, subjective decision-making, and lengthy processing times. This research aims to develop a system that supports objective, transparent, and efficient employee mutation decisions based on performance and competency assessments. The study utilized data from 40 civil servants collected through interviews, observations, and institutional records. The ORESTE method was applied to rank employees by employing the Besson Rank technique to handle identical criterion values, followed by Distance Score calculations to obtain preference values (Vi​) for final ranking. The system was developed using the Waterfall software development model, encompassing requirements analysis, system design, implementation with PHP and MySQL, testing, and maintenance. The resulting application provides role-based access for administrators, employees, and managers, as well as modules for managing employee data, performance and competency evaluations, automated ORESTE calculations, and ranking reports. Functional and validation testing demonstrated that the system operates correctly and produces accurate ranking results. The findings indicate that the proposed DSS effectively improves the objectivity, transparency, and accuracy of civil servant mutation decisions while reducing manual errors and processing time, thereby supporting more reliable and efficient personnel management.
Co-Authors Aries Maesya Endang Suhendar Victor Ilyas Sugara Sugara