HIMMAWAN, MUHAMMAD and , Agus Ulinuha, S.T., M.T., Ph.D (2021) Perancangan Sistem Analisis Kelulusan Mahasiswa Dalam Implementasi Penerapan Data Mining Pada Bidang Pendidikan. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
Having the dream of graduating on time is one of the achievements of students as academics. The fact is that education is said to be successful if academics have been declared graduated from the agency and are able to realize science. Thus, this research was made with the aim of helping students realize their dreams of graduating on time and assisting academics in determining policies. The author uses a classification method with the Naive Bayes algorithm with input variables of gender, grade one to eight semesters and grade point average. The results of the research are in the form of an information system that can help predict student graduation with the highest application accuracy value of 84%, precision value of 100% and recall of 58%.
Item Type: | Karya ilmiah (Skripsi) |
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Uncontrolled Keywords: | aplikasi, prediksi, Naive Bayes, kelulusan, mahasiswa |
Subjects: | H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
Depositing User: | MUHAMMAD HIMMAWAN |
Date Deposited: | 18 Oct 2021 04:03 |
Last Modified: | 18 Oct 2021 04:03 |
URI: | http://eprints.ums.ac.id/id/eprint/94854 |
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