Identifying Severe Malnutrition in Children with an Expert System

Authors

  • Devia Kartika Universitas Putra Indonesia YPTK
  • Rima Liana Gema Universitas Putra Indonesia YPTK
  • Mutiana Pratiwi Universitas Putra Indonesia YPTK

DOI:

https://doi.org/10.35134/jcsitech.v7i2.3

Keywords:

Expert system, Severemalnutrition, Children, Forward chaining, inference method

Abstract

Expert system is a computer program which is designed for modelling the ability of problem solving as it is an expert (human expert). The expert system method used is the forward chaining method which is the inference method that is doing logical reasoning from the problem to its solution. The aim of this research is to design and develop an expert system that is able to identify the severe malnutrition on children from the age of 0 - 5 years old. The knowledge is derived from the question askedto a nutrition expert. The data are taken from the questions asked to the user and when all of the questions has been answered, then the goal will be appeared which shows the nutrition status. This system application will enable the user to diagnose the nutrition/disease that affects children and get the solution. This system can be used by any kind of user due to the easy access. This system is also put the important information about the severe malnutrition and the recent news of children’s health so it will add more knowledge for the parents about the importance of severe malnutrition’s prevention.

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Published

2021-06-30

How to Cite

Kartika, D., Gema, R. L., & Pratiwi, M. (2021). Identifying Severe Malnutrition in Children with an Expert System. Journal of Computer Scine and Information Technology, 7(2), 15–20. https://doi.org/10.35134/jcsitech.v7i2.3