Intelligent decision support system for degree selection using AHP technique
The application process for entry into public universities in Malaysia, handled entirely by the University Centre Unit (UPU), has a major drawback as often the degree programme offered to students does not match their field of interest. The Degree Selection System (DSS) used for this study is design...
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Online Access: | http://irep.iium.edu.my/29161/ http://irep.iium.edu.my/29161/ http://irep.iium.edu.my/29161/1/Intelligent_Decision_Support_System.pdf |
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iium-291612013-02-25T23:32:42Z http://irep.iium.edu.my/29161/ Intelligent decision support system for degree selection using AHP technique Jamil, Rokiah Jarot, Sigit Puspito Wigati QA75 Electronic computers. Computer science The application process for entry into public universities in Malaysia, handled entirely by the University Centre Unit (UPU), has a major drawback as often the degree programme offered to students does not match their field of interest. The Degree Selection System (DSS) used for this study is designed to assist students to select the most appropriate degree programmes that match their field of study. The methodology used in this study is the Analytical Hierarchy Process (AHP) while Holland's Six Personality Types is used to identify the student's field of interest. The expected finding will display a list of programmes that matches the students' field of interest and they will have the freedom to choose eight of them. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/29161/1/Intelligent_Decision_Support_System.pdf Jamil, Rokiah and Jarot, Sigit Puspito Wigati (2012) Intelligent decision support system for degree selection using AHP technique. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6271267 |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
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IIUM Repository |
collection |
Online Access |
language |
English |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Jamil, Rokiah Jarot, Sigit Puspito Wigati Intelligent decision support system for degree selection using AHP technique |
description |
The application process for entry into public universities in Malaysia, handled entirely by the University Centre Unit (UPU), has a major drawback as often the degree programme offered to students does not match their field of interest. The Degree Selection System (DSS) used for this study is designed to assist students to select the most appropriate degree programmes that match their field of study. The methodology used in this study is the Analytical Hierarchy Process (AHP) while Holland's Six Personality Types is used to identify the student's field of interest. The expected finding will display a list of programmes that matches the students' field of interest and they will have the freedom to choose eight of them. |
format |
Conference or Workshop Item |
author |
Jamil, Rokiah Jarot, Sigit Puspito Wigati |
author_facet |
Jamil, Rokiah Jarot, Sigit Puspito Wigati |
author_sort |
Jamil, Rokiah |
title |
Intelligent decision support system for degree selection using AHP technique |
title_short |
Intelligent decision support system for degree selection using AHP technique |
title_full |
Intelligent decision support system for degree selection using AHP technique |
title_fullStr |
Intelligent decision support system for degree selection using AHP technique |
title_full_unstemmed |
Intelligent decision support system for degree selection using AHP technique |
title_sort |
intelligent decision support system for degree selection using ahp technique |
publishDate |
2012 |
url |
http://irep.iium.edu.my/29161/ http://irep.iium.edu.my/29161/ http://irep.iium.edu.my/29161/1/Intelligent_Decision_Support_System.pdf |
first_indexed |
2023-09-18T20:42:47Z |
last_indexed |
2023-09-18T20:42:47Z |
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1777409476401299456 |