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All Journal Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia Journal Of Artificial Intelligence And Software Engineering
Rhemadanu, Andreas
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Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Journal : Journal Of Artificial Intelligence And Software Engineering

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Implementation of a Food Menu Recommendation System at Ndalem Uti Restaurant Using Collaborative Filtering Based on User Preferences Rhemadanu, Andreas; Susanto, Rudi; Asri, Anindhiasti Ayu Kusuma
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7119

Abstract

This study aims to implement a menu recommendation system at Ndalem Uti Restaurant using a Collaborative Filtering approach based on user preferences. The main problem faced is that customers have difficulty choosing the best-selling menu because of the many choices and minimal information regarding the popularity of each menu. To overcome this, the Collaborative Filtering method is used with the User-Based Cosine Similarity calculation to measure the similarity of preferences between users. The test results show that the recommendation accuracy level reaches 96%, including for new users. This system is able to provide more personalized menu recommendations based on customer order history and ratings. This implementation is expected to improve user experience, optimize sales, and be a solution for the development of culinary businesses in the future.
Co-Authors Anindhiasti Ayu Kusuma Asri Aryo Putra Prayoga, Ferdianto Cahyo Nugroho, Nur Farid Faqih, Muhammad Hafid Krisna Wahyu Wijaya, Muhammad Octavia Rahmawati, Anin Pramono Rizqy Alfiansyah, Rafif Rudi Susanto Umi Nurjanah, Umi