DETERMINING THE COMPOSITION OF FOOD INGREDIENTS FOR PEOPLE WITH DIABETES MELLITUS USING GENETIC ALGORITHM

EFENDI, KALEB DWIANANDA PUTRA CHRISTANTO (2019) DETERMINING THE COMPOSITION OF FOOD INGREDIENTS FOR PEOPLE WITH DIABETES MELLITUS USING GENETIC ALGORITHM. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

Diabetes is a chronic disease that occurs when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces. Insulin is a hormone that regulates blood sugar. The composition of food ingredients is very important for diabetics. In determining optimal food combinations especially for diabetics are still very difficult if done manually. To solve this problem, this project used genetic algorithms. With existing food data, food combinations can be made to suit the needs of each patient. Making this project using java programming. The test is done twice, where each test is done with 2 different choices. Optimal results are obtained by selecting a Elitism and also a faster time. Keyword: Genetic Algorithm, Diabetes, Decission Support System.

Item Type: Thesis (Other)
Subjects: 600 Technology (Applied sciences) > 640 Home & family management > Food and Drink
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Lucius Oentoeng
Date Deposited: 10 Jul 2019 08:02
Last Modified: 02 Oct 2020 07:07
URI: http://repository.unika.ac.id/id/eprint/19646

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