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ORIGINAL RESEARCH article
Front. Nutr.
Sec. Nutrition and Food Science Technology
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1590523
This article is part of the Research Topic AI-Driven Advances in Personalized Nutrition through Optimization in Food Manufacturing View all articles
AI-Based System for Foods and Beverages Selection Towards Precision Nutrition in Indonesian Restaurants
Provisionally accepted
Kudang Boro Seminar 1*
Evy Damayanthi 2 Karlisa Priandana 3
Harry Imantho 1 Bonang Waspadadi Ligar 4 Annisa Utami Seminar 2 Angga Dwi Krishnajaya 5 Muhamad Reza Aditya 2 Muhammad Ilham Hakim Suherman 3 Ismy Fana Fillah 3- 1 Faculty of Agricultural Engineering & Technology, IPB University, Bogor, Indonesia
- 2 Faculty of Human Ecology, IPB University, Bogor, Indonesia
- 3 School of Data Science, Mathematics and Informatics, IPB University, Bogor, Indonesia
- 4 Faculty of Industrial Engineering, Gunadarma University, Depok, Indonesia
- 5 Karimata Restaurant, Bogor, Indonesia
This paper discusses the development of Genetic Algorithm (GA)-based decision support system to assist a diner in selecting the most suitable foods and beverages based on factors such as sex, age, height, weight, and history of non-communicable diseases (NCDs). The adequacy of energy and nutrients in a single meal is determined by comparing the energy and nutrients content of a set menu with the energy and nutrient requirement for that meal. The structure and content of chromosomes representing the food and its corresponding energy and nutrient contents and GA operator algorithms such as crossover, mutation and tournament selection for calculating and selecting the best meal using the specified fitness function. The system has been tested and proven to be highly suitable for the ultimate goal of meal selection for each different customer in a restaurant. The system holds promise for promoting healthier food choices tailored to individual requirement, contributing to the broader goal o
Keywords: Nutrition and Food Science Technology Data curation, Formal analysis, Validation, Writing -original draft. Angga Dwi Krishnajaya: Data curation, resources, Writing -review & editing. Bonang Waspadadi Ligar: Methodology, Software, Writing -original draft. Evy Damayanthi: Formal Analysis
Received: 09 Mar 2025; Accepted: 03 Apr 2025.
Copyright: © 2025 Seminar, Damayanthi, Priandana, Imantho, Ligar, Seminar, Krishnajaya, Aditya, Suherman and Fillah. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Kudang Boro Seminar, Faculty of Agricultural Engineering & Technology, IPB University, Bogor, Indonesia
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