Riyadi, Firman (2020) IMPLEMENTASI METODE NAIVE BAYES UNTUK PREDIKSI KELULUSAN MAHASISWA TEPAT WAKTU PRODI INFORMATIKA (Studi Kasus Universitas Teknologi Yogyakarta). ["eprint_fieldopt_thesis_type_tugasakhir" not defined] thesis, University of Technology Yogyakarta.
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Abstract
Increasing student graduation rates on time is a problem that is often encountered by universities. This was also experienced in the informatics study program at Yogyakarta University of Technology where the average number of students entering the Informatics study program was higher than the number of students graduating each year. This imbalance will certainly reduce the quality of Yogyakarta University of Technology which will also have an impact on students. From these problems, data mining can be used, one of which is the Naive Bayes Classifier Method to obtain information about predictions of student graduation. With the Naive Bayes Method and using 200 students from the class of 2014 and using gender prediction criteria, SKS1, SKS2, SKS3, SKS4, IPK1, IPK2, IPK3, and IPK4, with 60% comparison of test data and training data of 40% , obtained an accuracy of 91.86%. With an accuracy of 91.86%, it can be used as a reference in predicting the graduation of informatics students. The information can be used as a preventive measure to avoid decreasing the graduation of informatics students every year. Keywords: Data Mining, Naive Bayes Classifier (NBC), Graduation Prediction.
| Item Type: | Thesis (["eprint_fieldopt_thesis_type_tugasakhir" not defined]) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 26 Mar 2020 06:11 |
| Last Modified: | 26 Mar 2020 06:11 |
| URI: | http://eprints.uty.ac.id/id/eprint/4863 |
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