DOI of the published article https://doi.org/10.30645/kesatria.v4i3.210
The Use of Data Mining to Predict Student Study Period at Muhammadiyah University Sidoarjo by Using Naive Bayes Algorithm
Penggunaan Datamining untuk Memprediksi Masa Studi Mahasiswa di Universitas Muhammadiyah Sidoarjo dengan Algoritma Naive Bayes
DOI:
https://doi.org/10.21070/ups.2243Keywords:
Datamining, Naïve Bayes, Confusion Matrix, Python, Study Period PredictionAbstract
In this study, 9 academic and non-academic variables were used, consisting of semester grade point index, Semesters 1, 2, 3 and 4, GPA, school origin (public/private), finance (constrained by financial problems or not), scholarship (whether get a scholarship or not), Student Affairs (active or not in the student program). The use of academic and non-academic data variables in this study aims to broaden the predictions of student graduation which are not only assessed from an academic point of view, but also look at non-academic factors. The data used is student’s data for the 2017-2018 Informatics study program at the Muhammadiyah University of Sidoarjo. This data is obtained from the Directorate of Information Systems & Technology (DSTI) Muhammadiyah University of Sidoarjo as many as 200 data.
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