University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun

Selecting programs that matches one's qualification with the university's program requirements is not an easy task especially for the Sijil Pelajaran Malaysia (SPM) leavers. Thus, this project aims to select the program that matches the SPM results with diploma program offered at the Facul...

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Main Author: Yusoh @ Harun, Hazawani
Format: Thesis
Language:English
Published: 2010
Online Access:https://ir.uitm.edu.my/id/eprint/64317/1/64317.PDF
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spelling my-uitm-ir.643172023-09-12T01:57:30Z University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun 2010 Yusoh @ Harun, Hazawani Selecting programs that matches one's qualification with the university's program requirements is not an easy task especially for the Sijil Pelajaran Malaysia (SPM) leavers. Thus, this project aims to select the program that matches the SPM results with diploma program offered at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA. The data used is from the students that register in January 2009. The total number of data is 120 where 100 data is used for training and 20 data is used for testing. The data is massaged or categorized where the data is converted into binary numbers because Artificial Neural Network (ANN) performs better with binary numbers. The Feed Forward Neural Network (FFNN) technique has been used in this project with the step function as the activation function to determine the calculation of the training data and testing data. The university program selection performance of the FFNN 88.5% accurate which shows that FFNN is a good technique for university program selection. 2010 Thesis https://ir.uitm.edu.my/id/eprint/64317/ https://ir.uitm.edu.my/id/eprint/64317/1/64317.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Sheikh Al-Junid, Syed Ahmad (Assoc. Prof. Dr.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Sheikh Al-Junid, Syed Ahmad (Assoc. Prof. Dr.)
description Selecting programs that matches one's qualification with the university's program requirements is not an easy task especially for the Sijil Pelajaran Malaysia (SPM) leavers. Thus, this project aims to select the program that matches the SPM results with diploma program offered at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA. The data used is from the students that register in January 2009. The total number of data is 120 where 100 data is used for training and 20 data is used for testing. The data is massaged or categorized where the data is converted into binary numbers because Artificial Neural Network (ANN) performs better with binary numbers. The Feed Forward Neural Network (FFNN) technique has been used in this project with the step function as the activation function to determine the calculation of the training data and testing data. The university program selection performance of the FFNN 88.5% accurate which shows that FFNN is a good technique for university program selection.
format Thesis
qualification_level Bachelor degree
author Yusoh @ Harun, Hazawani
spellingShingle Yusoh @ Harun, Hazawani
University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
author_facet Yusoh @ Harun, Hazawani
author_sort Yusoh @ Harun, Hazawani
title University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
title_short University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
title_full University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
title_fullStr University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
title_full_unstemmed University program selection using Feedforward Neural Network (FFNN) / Hazawani Yusoh @ Harun
title_sort university program selection using feedforward neural network (ffnn) / hazawani yusoh @ harun
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/64317/1/64317.PDF
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