Tracer Study on AIMST University Students Using Data Mining

Tracer study is an approach which widely being used in most of the organization especially in the education institutions to track and to keep record of their students once they have graduated from the institution. Through tracer study, an institution able to evaluate the quality of education given t...

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Main Author:	Damotharan, Loga Vijaindran
Format:	Thesis
Language:	eng eng
Published:	2012
Subjects:	LG Individual institutions (Asia Africa) QA76 Computer software
Online Access:	https://etd.uum.edu.my/2930/1/Loga_Vijaindran_Damotharan.pdf https://etd.uum.edu.my/2930/4/Loga_Vijaindran_Damotharan.pdf
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id	my-uum-etd.2930
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Siraj, Fadzilah Abu Bakar, Nur Azzah
topic	LG Individual institutions (Asia Africa) QA76 Computer software
spellingShingle	LG Individual institutions (Asia Africa) QA76 Computer software Damotharan, Loga Vijaindran Tracer Study on AIMST University Students Using Data Mining
description	Tracer study is an approach which widely being used in most of the organization especially in the education institutions to track and to keep record of their students once they have graduated from the institution. Through tracer study, an institution able to evaluate the quality of education given to their graduates by knowing the graduates placements and positions in the society which later can be used as a benchmark in producing more qualified and competitive graduates. This tracer study basically focuses at one of the leading private university in the northern region of Peninsular Malaysia which known as AIMST University. This tracer study uses SPSS software as one the primary method to produce a relevant model of all the students’ enrolment as well as graduating students’ based on the data supplied by the Students and Records Division of AIMST University. However, the data supplied by the Student Admission and Records of AIMST University do contains missing values hence the data sets have to undergo cleaning process. As such CRISP methodology being applied to the datasets to ensure the data transformed into quality and usable data sets, with that the data will undergo pre processing approach. These data sets will be used in Data Mining approach in the modeling techniques to analyze the data and to identify the patterns.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Damotharan, Loga Vijaindran
author_facet	Damotharan, Loga Vijaindran
author_sort	Damotharan, Loga Vijaindran
title	Tracer Study on AIMST University Students Using Data Mining
title_short	Tracer Study on AIMST University Students Using Data Mining
title_full	Tracer Study on AIMST University Students Using Data Mining
title_fullStr	Tracer Study on AIMST University Students Using Data Mining
title_full_unstemmed	Tracer Study on AIMST University Students Using Data Mining
title_sort	tracer study on aimst university students using data mining
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2012
url	https://etd.uum.edu.my/2930/1/Loga_Vijaindran_Damotharan.pdf https://etd.uum.edu.my/2930/4/Loga_Vijaindran_Damotharan.pdf
_version_	1747827463561412608
spelling	my-uum-etd.29302016-04-27T00:57:49Z Tracer Study on AIMST University Students Using Data Mining 2012 Damotharan, Loga Vijaindran Siraj, Fadzilah Abu Bakar, Nur Azzah College of Arts and Sciences (CAS) College of Arts and Sciences LG Individual institutions (Asia. Africa) QA76 Computer software Tracer study is an approach which widely being used in most of the organization especially in the education institutions to track and to keep record of their students once they have graduated from the institution. Through tracer study, an institution able to evaluate the quality of education given to their graduates by knowing the graduates placements and positions in the society which later can be used as a benchmark in producing more qualified and competitive graduates. This tracer study basically focuses at one of the leading private university in the northern region of Peninsular Malaysia which known as AIMST University. This tracer study uses SPSS software as one the primary method to produce a relevant model of all the students’ enrolment as well as graduating students’ based on the data supplied by the Students and Records Division of AIMST University. However, the data supplied by the Student Admission and Records of AIMST University do contains missing values hence the data sets have to undergo cleaning process. As such CRISP methodology being applied to the datasets to ensure the data transformed into quality and usable data sets, with that the data will undergo pre processing approach. These data sets will be used in Data Mining approach in the modeling techniques to analyze the data and to identify the patterns. 2012 Thesis https://etd.uum.edu.my/2930/ https://etd.uum.edu.my/2930/1/Loga_Vijaindran_Damotharan.pdf text eng validuser https://etd.uum.edu.my/2930/4/Loga_Vijaindran_Damotharan.pdf text eng public masters masters Universiti Utara Malaysia Al-Radaideh, Q. A., Al-Shawakfa, E. 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Tracer Study on AIMST University Students Using Data Mining

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