PREDIKSI KELULUSAN MAHASISWA BERDASARKAN JALUR MASUK MENGGUNAKAN METODE NAIVE BAYES
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Date
2019-04-30
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wahyu sari yeni
Abstract
The assessment acreditation of college are conducted by the National Accreditation Agency for Higher Education (Badan Akreditasi Nasional Perguruan Tinggi BAN-PT). The graduation rates become a core element of accreditation process and it is necessary to be predicted. The aim of this paper is to present a web-based intelligent system for predicting student's graduation to help in enhancing the quality of education system. The stages in this study include the process of data mining using the Naive Bayes method and system design using flowcharts, context diagrams, hierarchy chart, data flow diagrams, and entity relational diagrams. The sample data used in this research is alumni data from Diploma III Informatics Management students in Riau University. The result of this research was the web-based system that can be predict graduation of students based on the entrance selection types using Naive Bayes method
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Keywords
Prediction of Graduation, Data Mining, Naive Bayes