Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 4 (2018): April 2018

Optimasi Menu Makanan Bagi Pasien Gagal Ginjal Menggunakan Algoritme Lebah

Yeni Herawati (Fakultas Ilmu Komputer, Universitas Brawijaya)
Wayan Firdaus Mahmudy (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
30 Aug 2017

Abstract

Kidney failure is a chronic metabolic disease that becomes a health problem in the world. Patients with kidney failure should have a special diet to control their diet and keep the kidney damage from getting worse. Diet to help patients improve eating and sports habits to gain better metabolic control. Patients should limit what foods can be consumed. This causes the patient to really pay attention to the food menu. To solve the case requires a bee algorithm. This study used 132 lists of foods with nutritional content (protein, carbohydrates and fats). The algorithm process uses an integer representation of length 15 which the resulting number represents the food index. From the test, we get the optimal parameter of 100 individuals with the average fitness value of 0.107823, 100 iterations with the average fitness value of 0.103334. The results of this study are the composition of the food menu in a day (breakfast, lunch and dinner) at a minimal cost.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...