<![CDATA[Culinary Micro, Small, and Medium Enterprises (MSMEs) around Universitas Pendidikan Indonesia (UPI) face challenges in digital promotional visibility, while the academic community experiences information overload. This study aims to design and implement a WebGIS platform for culinary directories and promotion using the Research and Development (R&D) method with the ADDIE model. The platform integrates a Content-Based Filtering (CBF) algorithm that processes users’ explicit and implicit preference data via Weighted Category Scoring, a 50% Spillover Effect, and a 4-3-3 proportional allocation pattern. The resulting WebGIS platform features interactive Leaflet.js mapping, OSRM Live Tracking route navigation, and crowdsourcing, achieving a 100% pass rate in Black Box testing across 17 modules. Computational evaluation of the CBF algorithm using scenario-based state-transition testing and sensitivity analysis covered 10 sessions, three sequential checkpoints, and nine configurations, resulting in 270 evaluation runs. The evaluation produced Precision@10 values of 97.00%, 2.56%, and 90.78% at Checkpoints A, B, and C, respectively, while accumulated interactions at Checkpoint C achieved a new-category adoption rate of 90.37%. Usability evaluation involving 30 primary end-users via the USE Questionnaire resulted in a TCR of 90.62% (Very Good). Furthermore, the User Experience Questionnaire (UEQ) administered to 27 valid respondents revealed that all six scales (Attractiveness: 1.98, Perspicuity: 2.15, Efficiency: 1.98, Dependability: 1.77, Stimulation: 1.66, Novelty: 1.66) achieved an Excellent benchmark rating. Keywords: Content-Based Filtering; Culinary MSMEs; Research and Development; User Experience Questionnaire; WebGIS.]]>
