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 Tundjungsari

doi:10.59934/jaiea.v5i2.2154

Authors

Valentino Wijaya Universitas Esa Unggul
Rafly Surya Ramadhan Universitas Esa Unggul
Tegar Satrio Nugroho Universitas Esa Unggul
Ananda Rizky Muntazar Muthahhari Universitas Esa Unggul
Vitri Tundjungsari Universitas Esa Unggul

DOI:

https://doi.org/10.59934/jaiea.v5i2.2154

Keywords:

Artificial intelligence; Cholesterol; Diabetes; Food recommendation system; Fuzzy logic

Abstract

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.

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