PENERAPAN ALGORITMA C5.0 UNTUK DETEKSI PENYAKIT JANTUNG

Abstract

Heart disease is one of the leading causes of mortality worldwide. Early detection is essential to reduce complication risks. This study applies the C5.0 algorithm to build a classification model capable of predicting heart disease conditions based on clinical datasets. The results indicate that the C5.0 model achieves high accuracy and provides good interpretability, making it a suitable method for decision support systems in the healthcare domain.