Metode Fuzzy Dalam Memprediksi Penentuan Jumlah Kalori Ibu Hamil

Jurnal Sains dan Informatika

View Publication Info
 
 
Field Value
 
Title Metode Fuzzy Dalam Memprediksi Penentuan Jumlah Kalori Ibu Hamil
 
Creator Kartika, Devia; Universitas Putra Indonesia YPTK Padang
Safira, Silky; Universitas Putra Indonesia YPTK Padang
 
Subject Fuzzy Inference System (FIS), Mamdani, Calories Pregnant Women
 
Description Nutritional status of pregnant women is one of the factors causing the high mortality rate in Indonesia. The mortality rate estimated 19 thousand every year. In determining the amount of calories pregnant women was developed with the Fuzzy Inference System (FIS) Mamdani. Purpose to achieve is to prevent malnutrition (poor nutrition) during pregnancy. One of them is with attention the immune system that they have resulted in the pregnant woman must know the level of calories in the body with the identification of height, weight, and age in order to obtain some variables. In the fuzzy process, the input is divided into 3 variables: female calories, basal caloric needs and correction factors. Caloric output fuzzy set for pregnant women is low, normal and high. The results of the study have been tested with some simple cases are solved by using Fuzzy Inference System (FIS) and Matlab Software. 
 
Publisher Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X
 
Contributor
 
Date 2020-05-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ejournal.lldikti10.id/index.php/sains/article/view/4435
10.22216/jsi.v6i1.4435
 
Source Jurnal Sains dan Informatika : Research of Science and Informatic; Vol 6, No 1 (2020): Research of Science and Informatic; 1-8
Jurnal Sains dan Informatika; Vol 6, No 1 (2020): Research of Science and Informatic; 1-8
2502-096X
2459-9549
 
Language eng
 
Relation http://ejournal.lldikti10.id/index.php/sains/article/view/4435/1686
 
Rights Copyright (c) 2020 Devia Kartika, Silky Safira
http://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library