Expert Systems for Identifying Children’s Severe Malnutrition

Kartika, Devia and Liana Gema, Rima and Pratiwi, Mutiana (2016) Expert Systems for Identifying Children’s Severe Malnutrition. Journal of Computer Science and Information Technology, 1 (1). pp. 20-29.

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Official URL: http://jcsit.upiyptk.ac.id/index.php/jcsit/article...

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. Keywords: Expert system; Severemalnutrition; Children; Forward chaining.

Item Type: Article
Subjects: 0 Research > KOMTEKINFO > Rekayasa Perangkat Lunak
0 Research > KOMTEKINFO > Sistem Informasi
0 Research > KOMTEKINFO > Teknologi Komputer
Divisions: LPPM (Lembaga Penelitian dan Pengabdian Masyarakat) UPI "YPTK"
Depositing User: Administrator
Date Deposited: 13 Mar 2018 07:34
Last Modified: 13 Mar 2018 07:34
URI: http://repository.upiyptk.ac.id/id/eprint/20

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