<![CDATA[Supplier selection is a critical procurement decision in small retail because supplier performance directly affects stock availability, delivery reliability, cost efficiency, and service continuity. This study develops and evaluates a web-based decision support system integrating the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) for supplier selection in a single small-retail case in Depok, Indonesia. AHP was used to derive weights for five criteria price, distance, product quality, service, and delivery performance while SAW normalized and aggregated the performance of ten supplier alternatives into final preference scores. The system was implemented using PHP and MySQL and assessed through independent computational cross-checking, black-box testing, white-box basis-path testing, and user acceptance testing. Delivery performance received the highest weight (0.5004), followed by distance (0.2527), price (0.1084), service (0.0796), and product quality (0.0589), with the consistency ratio remaining below 0.10. CV. Prima Sentosa ranked first with a preference value of 0.9118, narrowly ahead of PT. Rukun Mitra Sejati Cab. Depok at 0.9022. All 31 black-box test cases passed, the selected white-box modules achieved complete basis-path coverage, and system calculations matched independent calculations to four decimal places, demonstrating computational fidelity. User acceptance testing produced a mean rating of 97.00%, although lower scores for usability and interface-related aspects indicate that further refinement is needed. The study contributes an end-to-end, traceable AHP–SAW implementation that links preference elicitation, ranking, software verification, and formative user evaluation. The findings support the feasibility of the approach for the studied retail context, while broader generalizability and ranking robustness require further validation.]]>
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