Food Menu Recommendations Based on Recommended Dietary Allowances using Genetic Algorithm

Authors

Muhammad Ardhian Megatama, Faculty of Computer Science, Brawijaya University, Veteran St. No. 8, Malang, 65145, IndonesiaFollow
Wayan Firdaus Mahmudy, Faculty of Computer Science, Brawijaya University, Veteran St. No. 8, Malang, 65145, IndonesiaFollow
Edy Santoso, Faculty of Computer Science, Brawijaya University, Veteran St. No. 8, Malang, 65145, IndonesiaFollow

Abstract

Nowadays, there are still often unbalanced nutritional problems such as overnutrition or malnutrition. Many factors can affect it, one of which is an unbalanced diet. One solution that can be done is a system for optimizing nutritional needs. In this study, the method used for optimization is genetic algorithms. Genetic algorithms are one of the metaheuristic methods that are often used for optimization problems. A particular chromosome representation is designed to provide suitable solutions. The system can provide food recommendations with nutrients close to a person's nutritional needs by using the genetic algorithm. Based on the test results obtained, the difference in nutrition from food recommendations with nutritional needs is below 5 percent.

Recommended Citation

Megatama, Muhammad Ardhian; Mahmudy, Wayan Firdaus; and Santoso, Edy (2021) "Food Menu Recommendations Based on Recommended Dietary Allowances using Genetic Algorithm," Bulletin of Culinary Art and Hospitality: Vol. 1: Iss. 2, Article 5.
DOI: https://doi.org/10.17977/um069v1i22021p70-77
Available at: https://citeus.um.ac.id/bocah/vol1/iss2/5