Implementation of the C4.5 Algorithm for Classifying the Causes of Diabetes at the Rejang Lebong District Hospital
Keywords:
Data Mining, Klasifikasi, C4.5, DiabetesAbstract
The Rejang Lebong District General Hospital is located at Jl. Two Lanes, Durian Depun, Merigi District, Rejang Lebong Regency. A hospital is a health service institution that provides complete individual health services, providing inpatient, outpatient and emergency services. In the research, the sample data used was 376 data from patients suffering from diabetes from the Rejang Lebong District Hospital. After the required data was obtained, the attributes required in this research were determined, including: age of the diabetes sufferer, sugar level (mg/dl), total cholesterol (mg/dl). Diabetes is a chronic metabolic disease in which diabetes does not produce sufficient amounts of insulin or the patient's body is unable to utilize insulin properly, causing excessive amounts of glucose in the body. The aim of this research is to analyze data on factors causing diabetes at the Rejang Lebong District Hospital by applying data mining using the C4.5 algorithm method. The C4.5 algorithm is a decision tree classification algorithm that is widely used because it has extraordinary advantages compared to other algorithms. The C4.5 algorithm starts with the process of selecting the attribute with the highest gain, namely the root of the tree, then branching for each value. The C4.5 algorithm is a method for forming a decision tree based on the training data that has been provided. In this study, the dataset used was seventy-six and the attributes used were gender, age, glucose, cholesterol and number of cases with one class determining yes or no. With the results of data processing using the Rapidminer Studio application with a data accuracy value of 100%.
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