Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din

Diploma in Business Studies (BM111) is among the first programme offered at Universiti Teknologi MARA (UiTM) Johor. It is a popular programme as indicated by the large number of students registered every semester since its introduction. However, over the July 2000 until December 2007 period, more th...

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Main Author:	Mohd Din, Adilah
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Higher Education Institutions of higher education Public universities and colleges
Online Access:	https://ir.uitm.edu.my/id/eprint/73971/1/73971.pdf
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id	my-uitm-ir.73971
record_format	uketd_dc
spelling	my-uitm-ir.739712023-03-22T09:21:45Z Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din 2012 Mohd Din, Adilah Higher Education Institutions of higher education Public universities and colleges Diploma in Business Studies (BM111) is among the first programme offered at Universiti Teknologi MARA (UiTM) Johor. It is a popular programme as indicated by the large number of students registered every semester since its introduction. However, over the July 2000 until December 2007 period, more than 10 percent of the students failed to complete their studies on time, which is within six semesters. Hence, it is necessary to identify the causes of this phenomenon so that appropriate actions can be taken to help the students at-risk. This study aims to identify factors that affect students' chances of graduating on time and the first two semesters' subjects that are most influential on the students' chances of graduating on time. This study also applies the data mining approach and employs decision tree, logistic regression and neural networks models to predict the graduation outcome. Based on initial investigations, there is evidence of difference in the risk of not graduating on time or failed to graduate between males and females, as well as between the July and December intakes. In addition, those who did not do well in the first semester courses, Financial Accounting (ACC1) and Mathematics for Business (MAT) and second semester courses, Microeconomics (ECO) and Cost of Accounting (ACC2) are most likely to fail to graduate or graduate on extended time. Hence, this study has proposed a methodology to predict at-risk students which can be adopted by other programmes and level of studies. The results indicate that the identified predictive models are accurate and can be deployed to identify students at-risk immediately after their first semester. The following courses of actions are recommended: (l) Higher SPM grades for Mathematics and Accounting for acceptance to BM111 programme; (2) Placement tests for Mathematics and Basic Accounting; (3) Pre-Accounting course for those without SPM Accounting; (4) Those who failed to score at least a B- grade for Financial Accounting and Mathematics for Business during the first semester should attend a Peer Tutorial Programme; (5) The effectiveness of the Peer-Tutorial Programme must be evaluated from time to time. 2012 Thesis https://ir.uitm.edu.my/id/eprint/73971/ https://ir.uitm.edu.my/id/eprint/73971/1/73971.pdf text en public masters Universiti Teknologi MARA, Johor Faculty of Computer & Mathematical Sciences Samat, Omar
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Samat, Omar
topic	Higher Education Institutions of higher education Public universities and colleges
spellingShingle	Higher Education Institutions of higher education Public universities and colleges Mohd Din, Adilah Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din
description	Diploma in Business Studies (BM111) is among the first programme offered at Universiti Teknologi MARA (UiTM) Johor. It is a popular programme as indicated by the large number of students registered every semester since its introduction. However, over the July 2000 until December 2007 period, more than 10 percent of the students failed to complete their studies on time, which is within six semesters. Hence, it is necessary to identify the causes of this phenomenon so that appropriate actions can be taken to help the students at-risk. This study aims to identify factors that affect students' chances of graduating on time and the first two semesters' subjects that are most influential on the students' chances of graduating on time. This study also applies the data mining approach and employs decision tree, logistic regression and neural networks models to predict the graduation outcome. Based on initial investigations, there is evidence of difference in the risk of not graduating on time or failed to graduate between males and females, as well as between the July and December intakes. In addition, those who did not do well in the first semester courses, Financial Accounting (ACC1) and Mathematics for Business (MAT) and second semester courses, Microeconomics (ECO) and Cost of Accounting (ACC2) are most likely to fail to graduate or graduate on extended time. Hence, this study has proposed a methodology to predict at-risk students which can be adopted by other programmes and level of studies. The results indicate that the identified predictive models are accurate and can be deployed to identify students at-risk immediately after their first semester. The following courses of actions are recommended: (l) Higher SPM grades for Mathematics and Accounting for acceptance to BM111 programme; (2) Placement tests for Mathematics and Basic Accounting; (3) Pre-Accounting course for those without SPM Accounting; (4) Those who failed to score at least a B- grade for Financial Accounting and Mathematics for Business during the first semester should attend a Peer Tutorial Programme; (5) The effectiveness of the Peer-Tutorial Programme must be evaluated from time to time.
format	Thesis
qualification_level	Master's degree
author	Mohd Din, Adilah
author_facet	Mohd Din, Adilah
author_sort	Mohd Din, Adilah
title	Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din
title_short	Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din
title_full	Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din
title_fullStr	Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din
title_full_unstemmed	Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din
title_sort	risk modeling for diploma in business studies (bm111) students at uitm johor / adilah mohd din
granting_institution	Universiti Teknologi MARA, Johor
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/73971/1/73971.pdf
_version_	1783735994663567360

Risk modeling for Diploma in Business Studies (BM111) students at UiTM Johor / Adilah Mohd Din

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