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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| Format: | Thesis |
| Language: | en en |
| Published: |
2000
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| 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 https://etd.uum.edu.my/216/ |
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| _version_ | 1833435341593247744 |
|---|---|
| author | Suhaimi, Abdul Majid |
| author_facet | Suhaimi, Abdul Majid |
| author_sort | Suhaimi, Abdul Majid |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uum.etd-216 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2000 |
| record_format | eprints |
| spelling | my.uum.etd-2162022-06-07T04:38:10Z https://etd.uum.edu.my/216/ Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan Suhaimi, Abdul Majid 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 NonPeerReviewed text en https://etd.uum.edu.my/216/1/SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf text en https://etd.uum.edu.my/216/2/1.SUHAIMI__BIN_ABDUL_MAJID_-_Rangkaian_neural_untuk_peramalan_gred_matematik_tambahan.pdf Suhaimi, Abdul Majid (2000) Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | QA76 Computer software Suhaimi, Abdul Majid Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan |
| title | 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_short | Rangkaian Neural Untuk Peramalan Gred Matematik Tambahan |
| title_sort | rangkaian neural untuk peramalan gred matematik tambahan |
| topic | QA76 Computer software |
| 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 https://etd.uum.edu.my/216/ |
| url_provider | http://etd.uum.edu.my/ |