Aplikasi Monitoring dan Penentuan Peringkat Kelas Menggunakan Naive Bayes Classifier

Abstract

Education is a benchmark in schools with good results in academic scores every semester. Academic assessment also requires tools to support academic data using technology. With the use of information technology, it can be implemented into a system that can store and manage time. So that the authors designed and developed a system that had been made before where the research carried out was the application of monitoring and class ranking using the Naïve Bayes Classifier. In addition to monitoring student semester grades, this application provides academic information, student activities, and determines the rank each student has in the class. This research uses the Extreme Programming method. The results of designing a monitoring application and class ranking using the Naïve Bayes Classifier, namely a website application. Class rank is determined using the Naïve Bayes Classifier with several probabilities with an accuracy of 66.94% using Rapidminer. Tests got good results with Blackbox as functional and Iso 25010 as usability and performance testing. So it was legalized that it was feasible to be applied in monitoring students of SMAN 6 Bengkulu Selatan.