<![CDATA[Placing students into superior classes requires weighing multiple abilities at once, yet many schools including SMP Negeri 2 Payakumbuh still rely on manual scoring, which is time-consuming, error-prone, and hard to keep objective. The school's case is further complicated by having two superior-class tracks with fundamentally different criteria: a Digital class emphasizing technological competence and a Tahfiz class emphasizing religious and Qur'an-memorization ability. Prior decision support studies on student selection typically apply one uniform criteria set to a single category, leaving this dual-track problem largely unaddressed. This study fills that gap by building a web-based Decision Support System that processes two distinct, track-specific criteria sets within one integrated Simple Additive Weighting (SAW) computation, complemented by a self-check feature enabling students to view their own results directly. SAW was chosen for its transparent, traceable computation normalization, weighted summation, and ranking without the pairwise comparisons required by AHP-TOPSIS or Promethee, making it well suited to handling two incomparable criteria sets within one auditable ranking. Built with PHP, Laravel, and MySQL using the Waterfall model, the system achieved 100% functional suitability, 100% compatibility, 90% usability, and an Aiken's V validity score of 0.923. These results confirm that SAW retains its objectivity and consistency even under dual-track selection, offering both a practical solution for the school and a replicable model for similar multi-track contexts.]]>
