Data Mining di Bidang Pendidikan untuk Analisa Prediksi Kinerja Mahasiswa dengan Komparasi 2 Model Klasifikasi pada STMIK Jabar

Penulis

  • Galih Galih STMIK Jabar

Kata Kunci:

Educational Data Mining (EDM), Naive Bayes Classifier (NBC), Decision Tree C4.5, Classification

Abstrak

Until now many universities that helped the government in accelerating improving the quality of education so the creation of a competitive environment.. The abundance of data contained in the College can be put to good use in accordance with the needs and processed into useful information so as to find out the relationship between the attributes of the data in it can be on the analysis and expected output in the form of student performance has related to the period of study i.e. can be categorized into appropriate or too late in the anticipated period of study. Data mining can be used for educational institutions or institutions and often called as Educational Data Mining (EDM). In the study carried out using two models of Naive Bayes Classifier i.e. algorithms and C 4.5. as for the value of the best accuracy in the Naive Bayes Classifier algorithm model (NBC) was 86.83% with ratio 80% training data, whereas in model algorithm C 4.5 was 88.10% with 90% training data ratio. Application of EDM and expected to be maximized and developed so that it can contribute to and progress in the world of education especially in data mining.

Biografi Penulis

Galih Galih, STMIK Jabar

Program Studi Sistem Informasi

Referensi

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Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 2 No. 1 Januari 2019

Unduhan

Diterbitkan

2019-01-30

Cara Mengutip

Galih, G. (2019). Data Mining di Bidang Pendidikan untuk Analisa Prediksi Kinerja Mahasiswa dengan Komparasi 2 Model Klasifikasi pada STMIK Jabar. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 2(1), 23–30. Diambil dari https://openjournal.unpam.ac.id/index.php/JTSI/article/view/2643

Terbitan

Vol 2 No 1 (2019): Jurnal Teknologi Sistem Informasi dan Aplikasi

Bagian

Article

Lisensi

Hak Cipta (c) 2019 Galih Galih

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