Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri

The right determination of an undergraduate programme selection by applicants is not an easy task. Some applicants who enrolled for unsuitable programme ended up failed to progress or dropped out from the programme. This study proposed an immunebased technique to recommend suitable undergraduate pro...

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Main Author:	Mohd Zamri, Muhammad Azrill
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Application software Configuration management Software measurement Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/69424/1/69424.pdf
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id	my-uitm-ir.69424
record_format	uketd_dc
spelling	my-uitm-ir.694242022-10-31T03:26:19Z Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri 2017-01 Mohd Zamri, Muhammad Azrill Instruments and machines Electronic Computers. Computer Science Evolutionary programming (Computer science). Genetic algorithms Computer software Application software Configuration management Software measurement Artificial immune systems. Immunocomputers Algorithms The right determination of an undergraduate programme selection by applicants is not an easy task. Some applicants who enrolled for unsuitable programme ended up failed to progress or dropped out from the programme. This study proposed an immunebased technique to recommend suitable undergraduate programmes to support applicants in decision-making. The proposed technique is obtained by combining artificial immune network (aiNET) and clonal selection algorithm (CLONALG). Myers-Briggs Type Indicator is also used as a psychological assessment mechanism in the selection process to enhance the accuracy of the proposed technique. A framework for the immune-based technique is discovered in this study. Based on the framework, a prototype was implemented to evaluate the accuracy of the proposed technique. 52% is the highest accuracy obtained from the technique by using ten-fold cross validation. Future implementations of this technique should consider a higher amount of training data to produce a higher accuracy. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69424/ https://ir.uitm.edu.my/id/eprint/69424/1/69424.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Jantan, Hamidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jantan, Hamidah
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Application software Configuration management Software measurement Instruments and machines Algorithms
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Application software Configuration management Software measurement Instruments and machines Algorithms Mohd Zamri, Muhammad Azrill Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
description	The right determination of an undergraduate programme selection by applicants is not an easy task. Some applicants who enrolled for unsuitable programme ended up failed to progress or dropped out from the programme. This study proposed an immunebased technique to recommend suitable undergraduate programmes to support applicants in decision-making. The proposed technique is obtained by combining artificial immune network (aiNET) and clonal selection algorithm (CLONALG). Myers-Briggs Type Indicator is also used as a psychological assessment mechanism in the selection process to enhance the accuracy of the proposed technique. A framework for the immune-based technique is discovered in this study. Based on the framework, a prototype was implemented to evaluate the accuracy of the proposed technique. 52% is the highest accuracy obtained from the technique by using ten-fold cross validation. Future implementations of this technique should consider a higher amount of training data to produce a higher accuracy.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Zamri, Muhammad Azrill
author_facet	Mohd Zamri, Muhammad Azrill
author_sort	Mohd Zamri, Muhammad Azrill
title	Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
title_short	Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
title_full	Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
title_fullStr	Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
title_full_unstemmed	Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
title_sort	immune-based technique for undergraduate programmes recommendation / muhammad azrill mohd zamri
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69424/1/69424.pdf
_version_	1783735878690013184

Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri

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