Sistem Rekomendasi Makanan Sesuai Budget Bagi Wisatawan Menggunakan Algoritma Genetika Berbasis Website

Nurhaliza, Risma
Sihananto, Andreas Nugroho
Maulana, Hendra

CICES (Cyberpreneurship Innovative and Creative Exact and Social Science)
Vol 11 No 1 (2025): CICES

The development of a web-based food recommendation system using Laravel aims to help tourists in Surabaya find places to eat that suit their preferences, overcoming the constraints of limited information and the many choices that are often confusing. This system utilizes a genetic algorithm, which was chosen for its ability to optimize recommendations based on various criteria such as budget and location. Restaurant data in Genteng and Bubutan Districts is collected and analyzed for use in the recommendation process. Functional testing shows that this system functions well, with a genetic algorithm that is able to produce optimal recommendations based on adequate fitness values ​​and fast execution times. To improve this system, it is recommended to improve the user interface design, optimize algorithm parameters, and perform additional testing to ensure system performance and security.