Jurnal DISPROTEK
Vol 11, No 1 (2020)

PREDIKSI KELANJUTAN STUDI SISWA KE PERGURUAN TINGGI DENGAN NAIVE BAYES

Gentur Wahyu Nyipto Wibowo (Unknown)

Article Info

Publish Date
28 Aug 2020

Abstract

The need for an analysis of the predictions of continuation of student studies to college is a strong reason for this research. Because by knowing the number of students at a school who continue or not continue studies to universities become a reference to improve education services at the school concerned. Naive Bayes is an effective and efficient classification algorithm for data mining and machine learning. So in the research proposed Naive Bayes for predictions of continuation of student studies to college with k-fold validation and confusion matrix. And results from the algorithm Naive Bayes is 86.53%.

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Journal Info
Jurnal DISPROTEK
Website

Abbrev

JDPT

Publisher

Universitas Islam Nahdlatul Ulama Jepara

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

Description

Jurnal DISPROTEK e-ISSN 2548-4168 p-ISSN 2088-6500 Jurnal di publikasikan oleh Fakultas Sains dan Teknologi, Universitas Islam Nahdlatul Ulama Cakupan isi jurnal DISPROTEK dalam bidang teknik adalah : teknik elektro, teknik sipil, teknik industri; dalam bidang ilmu komputer adalah : teknik ...