<![CDATA[Coastal tourism development in rural regions often suffers from uneven visitation because integrated digital geographic information and personalized multi-criteria decision support are lacking. This study designed and evaluated a web-based Geographic Information System (Web-GIS) coupled with a decision support system using the Simple Additive Weighting (SAW) method for coastal tourism recommendation in Paranggupito District, Wonogiri Regency. The system was built with a Model-View-Controller architecture, interactive Leaflet.js maps, a MySQL database, visitor ratings, and a statistics dashboard. Recommendations were computed from three criteria: ticket price (cost, 30% weight), facility completeness (benefit, 40%), and road accessibility (benefit, 30%). Verification combined SAW calculation across nine beaches with black-box testing of 15 scenarios. Nampu Beach and Sembukan Beach ranked first with a preference value of 0.8500, followed by Karang Payung Beach (0.8133). All test scenarios passed (100%). The system helps balance tourism visibility and provides tourists with personalized recommendations and destination managers with data-driven insight.]]>
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