J-Icon : Jurnal Komputer dan Informatika
Vol 5 No 2 (2017): Oktober 2017

KLASIFIKASI JURUSAN MENGGUNAKAN METODE NAÏVE BAYES PADA SEKOLAH MENENGAH ATAS NEGERI (SMAN) 1 FATULEU TENGAH

Arrdy Hailitik (Universitas Nusa Cendana)
Bertha S Djahi (Universitas Nusa Cendana)
Yelly Y Nabuasa (Universitas Nusa Cendana)



Article Info

Publish Date
31 Oct 2017

Abstract

Naïve bayes is the classification method which utilizes the both probabilities and statistics to predict the future opportunity by using the last experiance. The system of major in the senior high school is the means of students directing to be more based on their interest and academic competence. The major in East SMAN 1 Fatuleu consists of the Science and Social majors. This research is using the Method of Naïve bayesto classify the student major. The data of student that is used here is the grade XI for second semester in the years of 2011 to 2015 with the 470 for the total data. For the testing proces is used 420 data (89%) as trains data and 50 data (11%) as tests data. The result of this research shows the amount of 99.31% accuracy in the process of major classification.

Copyrights © 2017






Journal Info

Abbrev

jicon

Publisher

Subject

Computer Science & IT

Description

J-ICON : Jurnal Komputer dan Informatika focuses on the areas of computer sciences, artificial intelligence and expert systems, machine learning, information technology and computation, internet of things, mobile e-business, e-commerce, business intelligence, intelligent decision support systems, ...