<![CDATA[The selection of the best student is one of the school's efforts to provide appreciation to outstanding students and increase student learning motivation. However, the process of selecting the best students at MI Mathlaul Anwar Pamulang is still carried out manually, requiring a long time, potentially causing subjectivity, and being prone to calculation errors. This study aims to design and implement a web-based decision support system using the Simple Additive Weighting (SAW) and Weighted Product (WP) methods to support the best student selection process more efficiently, objectively, and accurately. The system was developed using the PHP programming language with the Laravel framework and applied five assessment criteria, namely academic scores, attitude, activeness, achievements, and attendance. The SAW method was used to calculate weighted sums, while the WP method was used to calculate preference values based on multiplication and weighting of criteria values. The results of this study indicate that the developed decision support system can assist the best student selection process in a faster, more structured, and transparent manner. In addition, the system also helps teachers manage student data and automatically generate rankings of the best students based on predetermined criteria.]]>
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