<![CDATA[Island tourism destinations often involve services managed by independent local providers, making it challenging for tourists to identify suitable alternatives. This study developed and evaluated a web-based tourism service recommendation model using Simple Additive Weighting (SAW) for Pramuka Island, Indonesia. The model considers three criteria: category similarity, price similarity, and user rating. Weights were derived through the Analytic Hierarchy Process (AHP) based on pairwise comparisons by 21 tourists, yielding 0.43, 0.37, and 0.20, respectively, with an acceptable Consistency Ratio of 7.72%. SAW calculated preference scores and ranked service alternatives. Computational verification confirmed that application rankings matched manual spreadsheet calculations. Recommendation relevance was evaluated using Precision@6 across four service categories, achieving an average of 54.17%, with 100% precision for Homestay and Diving, 16.67% for Tour Package, and 0% for Rental due to limited same-category alternatives. Usability testing with 32 tourists yielded an average System Usability Scale (SUS) score of 83.3. These findings demonstrate the model's feasibility and computational consistency in the Pramuka Island context. However, recommendation relevance depends heavily on category-level service availability, requiring broader validation using larger and more balanced datasets.]]>
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