PENERAPAN METODE CONSTRAINT-BASED RECOMMENDATION SYSTEM (CBRS) UNTUK REKOMENDASI TEMPAT WISATA

Abstract

South Sulawesi has enormous tourism potential, with destinations spread across 24 regencies/cities. This diversity presents challenges for tourists in determining which destinations align with their preferences. To address this issue, this study aims to develop a website-based tourist attraction recommendation system using the Constraint-Based Recommendation System (CBRS) method. The CBRS method was chosen because it can handle complex user preferences without requiring historical data and allows for explicit constraints such as tourist category, location, and rating. The system was built using the Yii2 Advanced framework, which supports a modular structure and high performance in web application development. In addition to filtering structured preference-based data, the system also integrates review description analysis using the TF-IDF method to improve the relevance of recommendation results. The final results demonstrate that the system is capable of providing more personalized, relevant, and flexible tourist recommendations.