Metode algoritma genetika untuk menentukan menu makanan bagi penderita obesitas berbasis mobile

Umam, Alif Irhasshoufi Nasihul (2023) Metode algoritma genetika untuk menentukan menu makanan bagi penderita obesitas berbasis mobile. Undergraduate thesis, Politeknik Negeri Jember.

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Abstract

Habit is a pattern that runs for a long enough time that the pattern cannot be separated from daily habits and becomes a must to maintain. By consuming healthy foods and maintaining regular food intake, we will get a healthy lifestyle pattern that should have been implemented from the beginning. The application of a food recommendation system to users based on their nutritional needs and providing food recommendations based on them makes it easier to adopt a healthy lifestyle pattern. Nutritional needs are determined based on energy, protein, fat, and carbohydrates and food recommendations are given to users using a multi-objective genetic algorithm. The study resulted in a UAT with a total percentage of 74.15% and the Statement Coverage of the genetic algorithm approached 100%. Based on the research and testing conducted on users, it is concluded that the genetic algorithm requires a better initial generation determination process and the implementation of multi-threading.

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