Klasifikasi Kerusakan Barang Dengan Menggunakan Komparasi Algoritma C4.5 Dan Naive Bayes

Abstract

Process control is needed to prevent goods from being damaged both in the production and delivery processes. Therefore, in this study, a classification of conditions was carried out whether the goods that experienced the incident could still be used or not. This study uses a classification model with the C4.5 and Naïve Bayes algorithms, by evaluating using the confusion matrix method, the best accuracy in the C4.5 algorithm is 73.9% recall 72.9% and 88% precision, with these results it can be said that algorithm C 4.5 is good to be implemented in this decision support system model