<![CDATA[Kuningan Regency, West Java, has a wide variety of tourist destinations that have the potential to support regional tourism development. However, the large number of destinations with different characteristics often makes it difficult for tourists to objectively determine the best destination. Therefore, a Decision Support System (DSS) is needed to assist the selection of tourist destinations based on measurable and systematic criteria. This study aims to design a web-based DSS by comparing the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods in determining the best tourist destinations in Kuningan Regency. The AHP method is used to determine the weight of each criterion, while the SAW method is applied to rank tourist destinations based on criteria such as ticket price, accessibility, facilities, attractiveness, popularity, and total visits. The results show that the developed system is able to provide objective recommendations. The AHP method produces consistent criterion weights (CR = 0.0771 ≤ 0.1), while the SAW method is more efficient in the calculation and ranking process (0.018 seconds vs. 0.132 seconds). The combination of both methods is effective for implementation in a web-based DSS to support the selection of the best tourist destinations]]>
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