Decision Support System for Determining School Branch Locations Using the Weighted Product (WP) Method and Multi-Attribute Utility Theory (MAUT)
DOI:
https://doi.org/10.37278/sisinfo.v8i2.1542Keywords:
Decision Support System, Weighted Product, Multi Attribute Utility Theory, School Branch Location, Location SelectionAbstract
The rapid development of information technology has encouraged educational institutions to adopt data-driven decision-making processes in order to improve accuracy, efficiency, and objectivity in strategic planning. One important decision faced by educational institutions is determining the most suitable location for establishing a new school branch. Sekolah Ikhwanul Muslimin plans to expand its educational services by opening new branches; however, the location selection process is complex because it involves several interrelated criteria, such as land area, land price, population density, number of existing schools, crime level, and public transportation availability. Manual decision-making may lead to subjective judgments and suboptimal location choices, which can affect investment efficiency and long-term institutional sustainability. Therefore, this study aims to develop a web-based Decision Support System (DSS) by integrating the Weighted Product (WP) method and Multi-Attribute Utility Theory (MAUT) as a cross-validation mechanism to verify ranking consistency and reduce potential bias from relying on a single method. The WP method is used to calculate preference values based on weighted criteria, while MAUT is applied to transform criterion values into utility scores so that each alternative can be compared more systematically. The system was developed using the Waterfall model and implemented using PHP and MySQL. Based on the calculation results, alternative A1, located on Jl. Desa Kolam, Percut Sei Tuan, obtained the highest final score of 0.464334 and became the most recommended location among the five alternatives analyzed. The results show that the proposed DSS can assist decision-makers in evaluating school branch location alternatives more objectively, systematically, and measurably.
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