Web-GIS and Multicriteria Decision Support System for Beach Tourism Recommendations Using the Simple Additive Weighting Method

Abstract

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.