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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Main Authors: Jamil, Rokiah, Jarot, Sigit Puspito Wigati
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
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
id iium-29161
recordtype eprints
spelling 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building 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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