Skripsi

IMPLEMENTASI ALGORITMA GENETIKA PADA KOMPOSISI MENU DIET BAGI PENDERITA DIABETES MELLITUS

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Penilaian

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Unhealthy eating patterns can trigger various diseases, one of them is diabetes mellitus (DM). For this reason, it is necessary to carry out a diet by observing and controlling the types of food consumed both from nutritional considerations in the form of carbohydrates, proteins and fats. An alternative that can be applied to solve the problem of optimizing the composition of dietary diets for diabetics as well as obtaining a menu list with various variations is to develop a genetic algorithm. For the DM diet with an energy content of 2261.25 Kcal calories and carbohydrate limits of 345-402.5 grams, protein of 57.5-86.25 grams and fat of 51.11-63.89 grams. Sixty-nine foodstuff data were grouped into data on staple foods, vegetable sources, animal sources, vegetables and supplements. Individuals 1 and individuals 2 fulfill the best fitness function requirements. The final result is a variation of 63 genes in the form of a food menu for breakfast, lunch and dinner with the right nutritional content based on established limits. Keywords : Genetic Algorithms, Food Menus, Diabetes Mellitus.

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Detail Information

Series Title

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Call Number

T314952020

Publisher

Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2020

Collation

xiv, 65 hlm. : ilus. ; 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

613.207

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Jurusan Matematika
Menu Diet-Diabetes Melitus

Specific Detail Info

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Statement of Responsibility

DS

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