This study aims to develop a web-based decision support system to assist SDI Insan Cendikia in selecting exemplary students through a more structured, measurable, and transparent process. The previous selection process was conducted conventionally by considering several criteria, which required substantial processing time and created potential subjectivity and data-processing errors. The study applies the Analytical Hierarchy Process (AHP) to determine criterion priority weights and Simple Additive Weighting (SAW) to normalize student scores and rank alternatives. The system was developed using PHP with the CodeIgniter 4 framework and MySQL database. The assessment criteria include academic achievement, tahfidz, discipline, and attitude and behavior. The AHP results produced priority weights of 0.4444 for academic achievement, 0.2222 for tahfidz, 0.1111 for discipline, and 0.2222 for attitude and behavior. A Consistency Ratio (CR) of 0% indicates that the pairwise comparison matrix is consistent. SAW was then applied to normalize student scores and calculate the final preference values. Black Box Testing showed that all major system functions operated successfully with a 100% success rate. The resulting system can automate score processing and produce student rankings more quickly, systematically, and transparently.
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