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Rancang Bangun Aplikasi Rekomendasi Restoran Menggunakan Metode K-Nearest Neighbors dan Content-Based Filtering Liang, Suwarno; Susanto, Jon
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3816

Abstract

The culinary business is a promising business today because food and beverages are basic needs. This can be seen from the number of cafes, restaurants or restaurants in Batam City. Along with the rapid growth of the culinary business, the variety of food is becoming increasingly diverse, thus making it increasingly difficult for consumers to choose and determine the right food, both based on taste and ease of access. Therefore, it is necessary to need a system that can provide the user with the best and most suitable food or restaurant recommendations. This study designs and builds a recommendation system using K-Nearest Neighbors which functions to recommend restaurants with the closest distance, while Content-Based Filtering functions to recommend foods according to user preferences. The system is built in the form of a mobile-based application so that users can access and get more relevant recommendations