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All Journal Bulletin of Culinary Art and Hospitality
Muhammad Ardhian Megatama
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Health Professions

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Food Menu Recommendations Based on Recommended Dietary Allowances using Genetic Algorithm Muhammad Ardhian Megatama; Wayan Firdaus Mahmudy; Edy Santoso
Bulletin of Culinary Art and Hospitality Vol. 1 No. 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.666 KB) | DOI: 10.17977/um069v1i22021p70-77

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.
Co-Authors Edy Santoso Wayan Firdaus Mahmudy