Metode Fuzzy Dalam Memprediksi Penentuan Jumlah Kalori Ibu Hamil



Devia Kartika(1*), Silky Safira(2)

(1) Universitas Putra Indonesia YPTK Padang
(2) Universitas Putra Indonesia YPTK Padang
(*) Corresponding Author

Abstract


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.

 


Keywords


Fuzzy Inference System (FIS), Mamdani, Calories Pregnant Women

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Devia Kartika, Silky Safira

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

JSI Indexed by :

       

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Published by Lembaga Layanan Pendidikan Tinggi (LLDIKTI) Wilayah X

Khatib Sulaiman Street Padang
West Sumatera
Phone: +62751705637
Fax: +62751705637
Email: sainsinformatika@kopertis10.or.id

E ISSN 2502-096X | Print ISSN 2459-9549
 

 

      
Web
Analytics View My Stats