Faculty of Computer Science, Universitas Brawijaya, Indonesia
BibTex Citation Data :
@article{JTSISKOM13132, author = {Anggi Mahadika Purnomo and Davia Werdiastu and Talitha Raissa and Restu Widodo and Vivi Nur Wijayaningrum}, title = {Algoritma Genetika untuk Optimasi Komposisi Makanan Bagi Penderita Hipertensi}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {7}, number = {1}, year = {2019}, keywords = {genetic algorithm; hypertension; food composition; stroke; high blood pressure}, abstract = { Hypertension can be prevented and handled by eating nutritious foods with the right composition. The genetic algorithm can be used to optimize the food composition for people with hypertension. Data used include sex, age, weight, height, activity type, stress level, and patient hypertension level. This study uses a reproduction method that is good enough to be applied to integer chromosome representations so that the search results provided are not local optimum solutions. The testing results show that the best genetic algorithm parameters are as follows population size is 15 with average fitness 20.97, the generation number is 40 with average fitness 50.10, and combination crossover rate and mutation rate are 0.3 and 0.7 with average fitness 41.67. The solution obtained is the optimal food composition for people with hypertension. }, issn = {2338-0403}, pages = {1--6} doi = {10.14710/jtsiskom.7.1.2019.1-6}, url = {https://jtsiskom.undip.ac.id/article/view/13132} }
Refworks Citation Data :
Article Metrics:
Last update:
Optimization of Crops Allocation Planning in Cianjur Involving Water Cost Constraints Using Genetic Algorithm
Optimization of Foodstuffs for Patients with Hypertension Using the Improved Particle Swarm Optimization Method
Last update: 2024-11-22 18:08:40
Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.
