Scientific Journal of Informatics
Vol 4, No 2 (2017): November 2017

High School Major Classification towards University Students Variable of Score Using Naïve Bayes Algorithm

Sudibyo, Usman (Unknown)
Astuti, Yani Parti (Unknown)
Kurniawan, Achmad Wahid (Unknown)



Article Info

Publish Date
10 Nov 2017

Abstract

Completeness of data in each institution, such as major in a university, is necessary. Data of former school has important role in the need of students data. However, there is no relationship between data of former school and variable of students’ score. The suitable classification used in this research is data mining technique which is naïve bayes algorithm. This algorithm is able to manage massive data with a relative fast timing. By using this algorithm, the data results 64.77% performances in classifying former major in school towards variable of score. Hence, the researchers optimize selection feature by using Backward Elimination and result 71.71% performances data. It concludes that performance increases with selection feature. The increasing shows that not all variable of score affects the former school major. 

Copyrights © 2017






Journal Info

Abbrev

SJI

Publisher

Subject

Computer Science & IT

Description

Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and ...