Food Menu Recommendation System for Cholesterol and Diabetes Patients using Fuzzy Logic
Valentino Wijaya, Rafly Surya Ramadhan, Tegar Satrio Nugroho, Ananda Rizky Muntazar Muthahhari, Vitri TundjungsariNon-Scopus15 Februari 2026Afiliasi: ID
Abstrak
The number of people with cholesterol and diabetes continues to rise in modern society, mainly due to unhealthy diets. Many patients struggle to choose safe foods because nutrition levels vary. This research aims to develop an AI-based food recommendation system using Fuzzy Logic, which mimics human reasoning in handling uncertain data. The process involves fuzzification, inference, and defuzzification. By inputting data on sugar, cholesterol, fat, and calories, the system provides personalized and flexible food recommendations to help patients maintain a healthy diet.
Identifier
- DOI: https://doi.org/10.59934/jaiea.v5i2.2154
- OpenAlex: https://openalex.org/W7160441726