Mendiagnosis Penyakit Ginjal Kronis Mengunakan Algoritme C4.5

Abstract

Chronic Kidney Disease (CKD) is a condition where there is a decrease in kidney function which causes the kidneys to be unable to remove toxins and waste products from the blood, which is marked by the presence of protein in the urine and a decrease in glomerular filtration rate. According to WHO chronic kidney disease contributes to the world burden of disease with a death rate of 850,000 people per year. With this high mortality, proper management of chronic kidney disease is needed in diagnosing. One method that can be used in diagnosing chronic kidney disease is the C4.5 algorithm. The C4.5 algorithm is capable of classifying chronic kidney disease data with high accuracy. In this study, the chronic kidney disease dataset was obtained from https://www.kaggle.com/datasets/mansoordaku/ckdisease. In this study using the C4.5 algorithm in the process of classifying chronic kidney disease data. This C4.5 algorithm is processed on rapidminer version 10.01 tools. through the stages of Pre-processing, Set roles, modeling the C4.5 algorithm on training data, applying the model to data testing, and testing to calculate the accuracy of the model against data testing. Testing using the confusion matrix resulted in an accuracy rate of 96.67% and an error classification was obtained, amounting to 3.33%.

Keywords: Chronic Kidney Disease, Prediction, Algorithm C4.5