Implementation of Genetic Algorithm for Teenager Nutrition Management
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Abstract
Adolescence is an important moment in human life marked by growth, emotional, and psychosocial. During adolescence, a healthy diet becomes very crucial to support adolescent development and prevent future health problems. Therefore, this study aims to implement the Genetic Algorithm for Teenager Nutrition Management in an expert system. This system is designed to provide recommendations for food menus that are in accordance with the nutritional needs of a teenager, which include protein, carbohydrates, energy/calories, and fat. Genetic algorithms are used so that the food recommendation process can be in accordance with the daily nutritional needs of teenagers. The variables in this study are age, gender, weight, height, and physical activity. Meanwhile, the results of this system are in the form of total energy or calorie needs, protein, fat, and carbohydrates included in the daily food menu according to the nutritional needs of teenagers. This system can provide daily food menu recommendations in the form of a menu list using a genetic algorithm. The best fitness value is 0.0098 at a generation size of 100 and 670 dataset of food
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