Jurnal Teknologi dan Informasi
Vol 11 No 2 (2021): Jurnal Teknologi dan Informasi (JATI)

Penerapan Algoritma Genetika untuk Menghitung Biaya Optimal Komposisi Bahan Makanan pada Penderita Uric Acid

Kurniasari, F (Unknown)
Andayani, P (Unknown)



Article Info

Publish Date
01 Sep 2021

Abstract

An unbalanced diet with a very high protein intake causes high levels of uric acid in the body. Uric Acid is a disease caused by high levels of uric acid in the human body. In Indonesia, Uric Acid is one type of disease that many Indonesians suffer from. Angriani's research (2018) states that the highest cause of uric acid is due to too high purine intake. For several people, managing their daily diet has become a difficult task. To overcome this problem, in this study, a system of selecting food ingredients for uric acid sufferers was developed using a genetic algorithm. In this study, 50 food ingredients were used with their respective nutritional content (carbohydrates, protein, fat). The chromosome representation used is a permutation of an integer number that has a chromosome length of 15. The results obtained from this study are food recommendations for people with uric acid (uric acid) with details on the name of food ingredients, weight, calorie content, carbohydrate content, protein content, content. fat, and the price. The total cost price is also displayed, to predict the costs incurred.

Copyrights © 2021






Journal Info

Abbrev

jati

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknologi dan Informasi (JATI) diterbitkan oleh Fakultas Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer Universitas Komputer Indonesia Bandung secara berkala (setiap enam bulan sekali) dengan tujuan untuk menyebarluaskan hasil riset bidang teknologi dan informasi kepada para ...