Optimasi Rekomendasi Destinasi Wisata Menggunakan Metode CBF Dan GIS Dengan Pendekatan Iterative

Ahmad Rifa'i; Hadi Zakaria

doi:10.61805/fahma.v24i3.249

Authors

Ahmad Rifai Program Studi Teknik Informatika, Fakultas Teknik, Universitas Pamulang, Tangerang Selatan, Banten, Indonesia. Author
Hadi Zakaria Universitas Pamulang Author

DOI:

https://doi.org/10.61805/fahma.v24i3.249

Keywords:

Content Based Filtering, Geographic Information System, Iterative Development, Sistem Rekomendasi Destinasi Wisata, Sistem Informasi

Abstract

The Jakarta Provincial Tourism and Creative Economy Office plays a key role in managing and developing tourist destinations, including providing information through Tourist Information Centers (TICs). However, the existing manual recommendation process does not adequately accommodate tourist preferences, while visitor feedback is not centrally documented. This study aims to develop a web-based tourist destination recommendation system that provides preference-based recommendations, geographic information, and feedback features to support destination evaluation. Content-Based Filtering (CBF) is applied by matching user preferences with destination characteristics using semantic embeddings and cosine similarity. A Geographic Information System (GIS) provides location and route information, while the system is developed using an Iterative Development approach. Recommendation performance was evaluated using Precision and Recall across five query scenarios at K=1, K=3, K=5, and K=10. The results show an average precision of 1.00 at K=1, K=3, and K=5, and 0.86 at K=10. Average recall increased from 0.09 at K=1 to 0.69 at K=10. User evaluation involving 20 respondents achieved an average score of 83.4%. The system assists tourists in finding destinations based on their preferences while providing location, route, and feedback information.

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