Philosophy

Ignorance

Support vector machine

Blood sugar

Endocrinology

Data mining

Computer science

C4.5 algorithm

Naive Bayes classifier

Epistemology

Artificial intelligence

Decision tree

Medicine

Diabetes mellitus

Diabetes is a worldwide health problem with an estimated 120 million sufferers. This figure will increase if there is ignorance of the general public about the factors that can trigger diabetes. In this study, the aim of this research is to make a prediction model using Data Mining Algorithm C4.5 which produces a decision tree and tests carried out using Rapidminner so that diabetes prevention can be done as soon as possible. In this study, there are several classification attributes, namely body weight, age, blood pressure, pulse and blood sugar levels. The results of this study will be used as a reference to be able to see whether a person is at risk of diabetes or not based on predetermined attributes.

Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4.5