Analisis Metode Naive Bayes dalam Memprediksi Tingkat Pemahaman Mahasiswa Terhadap Mata Kuliah Berdasarkan Posisi Duduk

Abstract

In the lecture room there can be more than 30 students and not all of them get comfortable sitting positions, comfortable to look forward to, comfortable to see lecturers and comfortable to show what the lecturers say so students who sit in the front position and position behind are not the same understand the subject given by the lecturer. hence the purpose of the study is to describe the influence of seating in the lecture hall on the level of student achievement during lecture hours taking place using the Naive Bayes method, in order to find out whether students sitting in the front position will be more understanding than the sitting position at the back so that they can improve achievement scores . after gaining experience in occupying different seating positions, students are asked to fill out a questionnaire relating to the chosen seating position in each form. It is hoped that this study can determine the effect of understanding students or not on subjects based on seating position so that later the output of this system can be an evaluation material to improve student achievement.

Implementasi Data Mining Untuk Memprediksi Penyakit Jantung Mengunakan Metode Naive Bayes

“…Dalam definisi lain juga mengatakan bahwa data mining adalah sebuah kegiatan yang meliputi pengumpulan data, pemakaian data historis, pola atau hubungan dalam data yang berukuran besar. Dari beberapa definisi diatas dapat disimpulan bahwa data mining adalah suatu proses atau kegiatan yang dilakukan untuk mengumpulkan data yang berukuran besar, lalu kemudian mengekstraksi data tersebut sehingga menjadi sebuah informasi yang dapat dugunakan untuk sesuatu yang bermanfaat [8].…”