Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan

The student academic achievement in the Sijil Pelajaran Malaysia (SPM) has been the important measurement towards the quality of education in Malaysia’s school level. However, it is difficult to find an efficient measurement tool in order to assist teachers in evaluating their students’ performance...

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Main Author: Suhaimi, Abdul Majid
Format: Thesis
Language:eng
eng
Published: 2000
Subjects:
Online Access:https://etd.uum.edu.my/216/1/SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf
https://etd.uum.edu.my/216/2/1.SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf
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spelling my-uum-etd.2162022-06-07T04:38:10Z Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan 2000 Suhaimi, Abdul Majid Sekolah Siswazah Sekolah Siswazah QA76 Computer software The student academic achievement in the Sijil Pelajaran Malaysia (SPM) has been the important measurement towards the quality of education in Malaysia’s school level. However, it is difficult to find an efficient measurement tool in order to assist teachers in evaluating their students’ performance before the SPM examination. The study attempts to develop a backpropagation neural networks model to predict the students’ achievement grades in SPM examination for Additional Mathematics subject. The dataset were the year 1998’s SPM candidates collected from nineteen schools throughout Alor Setar, Pulau Pinang, Ipoh and Shah Alam. These dataset are used to train and test the neural networks model, The model uses neural networks topology that consists of seven nodes of the input layer, six nodes in the hidden layer and a node in the output layer. The obtained model is able to perform with 83.68% of correct prediction towards the test dataset, compared to 76.47% using the regression technique. Further work can be done on improving the data preprocessing technique and the network structure. The model can also be integrated with the database and knowledge based systems. 2000 Thesis https://etd.uum.edu.my/216/ https://etd.uum.edu.my/216/1/SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf text eng public https://etd.uum.edu.my/216/2/1.SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf text eng public masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA76 Computer software
spellingShingle QA76 Computer software
Suhaimi, Abdul Majid
Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan
description The student academic achievement in the Sijil Pelajaran Malaysia (SPM) has been the important measurement towards the quality of education in Malaysia’s school level. However, it is difficult to find an efficient measurement tool in order to assist teachers in evaluating their students’ performance before the SPM examination. The study attempts to develop a backpropagation neural networks model to predict the students’ achievement grades in SPM examination for Additional Mathematics subject. The dataset were the year 1998’s SPM candidates collected from nineteen schools throughout Alor Setar, Pulau Pinang, Ipoh and Shah Alam. These dataset are used to train and test the neural networks model, The model uses neural networks topology that consists of seven nodes of the input layer, six nodes in the hidden layer and a node in the output layer. The obtained model is able to perform with 83.68% of correct prediction towards the test dataset, compared to 76.47% using the regression technique. Further work can be done on improving the data preprocessing technique and the network structure. The model can also be integrated with the database and knowledge based systems.
format Thesis
qualification_name masters
qualification_level Master's degree
author Suhaimi, Abdul Majid
author_facet Suhaimi, Abdul Majid
author_sort Suhaimi, Abdul Majid
title Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan
title_short Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan
title_full Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan
title_fullStr Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan
title_full_unstemmed Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan
title_sort rangkaian neural untuk peramalan gred matematik tambahan
granting_institution Universiti Utara Malaysia
granting_department Sekolah Siswazah
publishDate 2000
url https://etd.uum.edu.my/216/1/SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf
https://etd.uum.edu.my/216/2/1.SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf
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