bit-Tech
Vol. 2 No. 1 (2019): Data Mining and Green Technology

Drop Out Students Identification Using Knowledge Base

Dara Kusumawati (STMIK Akakom)
Dini Faktasari (STMIK Akakom)



Article Info

Publish Date
30 Oct 2019

Abstract

The purpose of this study is modeling for the initial identification of college dropout students. Samples were taken from drop out student data for the past 4 years. Information from this sample will be acquired as a knowledge base in system modeling. The research aims to provide a knowledge-based system approach using Dempster Shafer for the management of student drop outs at universities especially in Yogyakarta. The symptoms of DO students are obtained from knowledge about DO that appears on campus in Yogyakarta. The system output is in the form of 3 groups of classification namely initial potential DO, enough potential and once potential. The results of the study produced a system that could help university managers deal with drop-out problems early.

Copyrights © 2019






Journal Info

Abbrev

bt

Publisher

Subject

Computer Science & IT

Description

The bit-Tech journal was developed with the aim of accommodating the scientific work of Lecturers and Students, both the results of scientific papers and research in the form of literature study results. It is hoped that this journal will increase the knowledge and exchange of scientific ...