PENERAPAN ALGORITMA C4.5 UNTUK DIAGNOSA STATUS GIZI PADA ANAK BALITA BERBASIS WEBSITE

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  • 14 Feb
  • 2020

PENERAPAN ALGORITMA C4.5 UNTUK DIAGNOSA STATUS GIZI PADA ANAK BALITA BERBASIS WEBSITE

Nutritional status of infants is an important factor that must be considered since 

infancy is a period of development with a range of nutrients. Nutritional status 

can be divided into three indicators of good nutrition, malnutrition and 

malnutrition. C4.5 classification algorithm is an algorithm that can produce 

easily interpreted decision tree, have an acceptable level of accuracy, efficient in 

handling discrete and numeric-type attributes (Kamagi dan Seng, 2014). 

Therefore, in this study will be conducted data analysis  nutritional status  in 

children under five using the classification of the data mining algorithm C4.5 

using four variabels: gender, age (months), weight (kg) and height (cm). Based on 

these descriptions, we need a system that can represent an expert who has the 

knowledge base and experience of diarrheal disease, which is an expert system. 

From 108 infants amount of data that consists of 92 data subject to a good 

nutrition and 16 data were experiencing malnutrition among children under five 

are obtained from Posyandu Nyangkowek, then obtained 17 rules resulting from 

C4.5 decision tree algorithm with good nutrition as class numbers 12 and the 

number of undernourished class so much as 5 rules, so that it can be concluded 

that the research that is implemented into a web application can help users, 

particularly parents in diagnosing the nutritional status of children under five. 

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Ginting, Selvia Lorena Br, Wendi Zarman, Ida Hamidah. 2014. Analisis dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Memprediksi Masa Studi Mahasiswa Berdasarkan Data Nilai Akademik. ISSN: 1979-911X. Yogyakarta: Porsiding Seminar Nasional Aplikasi Sains & Teknologi (SNAST) 2014.

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