Implementation of C4.5 Algorithm in Classification of Toddler Nutritional Status at Ujan Mas Health Center, Kepahiang Regency
Keywords:
Data Mining , Status Gizi Balita , Algoritma C4.5, KlasifikasiAbstract
Data Mining and the C4.5 Algorithm method, so that the calculation of the nutritional status of toddlers used to determine nutritional status can be easily calculated and the C4.5 Algorithm is suitable for class training and formation methods. decision tree or calculation tree. From the problem above, the author is interested in raising a research topic, namely: "Application of the C4.5 Algorithm in the Classification of Nutritional Status of Toddlers at the Ujan Mas Health Center, Kepahiang Regency".This research method is the basis for this research using data mining techniques with the C4.5 algorithm. The second step is to calculate the total data consisting of (48) and the total data based on the information Yes 24 and No 24. Then group and calculate all the total attributes stored in the "Amount" column and the total "Attribute" based on the nutritional status of the toddler which is stored in the "Yes" and "No" columns. Based on the rapidminer application, it gets an accuracy value of 60.87%
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