C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education

Data mining has background with the condition of an abundance of data (the overload data) and the explosion information faced by companies, institutions or organizations that are stored for many years. This situation is also faced in several universities that stores various kinds of data, especiall...

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Main Author: Erlan, Darmawan
Format: Journal
Language:English
Published: 2018
Online Access:http://ur.aeu.edu.my/1045/1/171-586-1-PB.pdf
http://ur.aeu.edu.my/1045/
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Institution: Asia e University
Language: English
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spelling my-aeu-eprints.10452022-12-20T05:28:03Z http://ur.aeu.edu.my/1045/ C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education Erlan, Darmawan Data mining has background with the condition of an abundance of data (the overload data) and the explosion information faced by companies, institutions or organizations that are stored for many years. This situation is also faced in several universities that stores various kinds of data, especially new admissions database. But the abundant data has not been widely used in digging the information or knowledge that can help university management in making strategic plans. Every year there are new students who retire that do not register, therefore, it takes an application that can process a lot of data to find out the possible retirement for new students. To find out the prediction retirement prospective students, this paper uses C.45 algorithm. The method can change the a very large fact into a decision tree that represents the rule. The result of this research is tthe application can classify the new students in tree structure in order that it can produce a rule. This application is able to predict the possibility of the retirement of new student. With this application, it is expected that the possibility of a prospective student will retire from college can be known at an early stage, so the management can make a decision easily. Development of this application built uses PHP as the interface application system and MySql in database processing. System development methodology is used the waterfall model. 2018 Journal PeerReviewed text en http://ur.aeu.edu.my/1045/1/171-586-1-PB.pdf Erlan, Darmawan (2018) C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education. Jurnal Online Informatika, 3 (1). pp. 22-28. ISSN 2527-1682
institution Asia e University
building AEU Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Asia e University
content_source AEU University Repository
url_provider http://ur.aeu.edu.my/
language English
description Data mining has background with the condition of an abundance of data (the overload data) and the explosion information faced by companies, institutions or organizations that are stored for many years. This situation is also faced in several universities that stores various kinds of data, especially new admissions database. But the abundant data has not been widely used in digging the information or knowledge that can help university management in making strategic plans. Every year there are new students who retire that do not register, therefore, it takes an application that can process a lot of data to find out the possible retirement for new students. To find out the prediction retirement prospective students, this paper uses C.45 algorithm. The method can change the a very large fact into a decision tree that represents the rule. The result of this research is tthe application can classify the new students in tree structure in order that it can produce a rule. This application is able to predict the possibility of the retirement of new student. With this application, it is expected that the possibility of a prospective student will retire from college can be known at an early stage, so the management can make a decision easily. Development of this application built uses PHP as the interface application system and MySql in database processing. System development methodology is used the waterfall model.
format Journal
author Erlan, Darmawan
spellingShingle Erlan, Darmawan
C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
author_facet Erlan, Darmawan
author_sort Erlan, Darmawan
title C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
title_short C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
title_full C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
title_fullStr C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
title_full_unstemmed C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
title_sort c4.5 algorithm application for prediction of self candidate new students in higher education
publishDate 2018
url http://ur.aeu.edu.my/1045/1/171-586-1-PB.pdf
http://ur.aeu.edu.my/1045/
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