Lake bera and lake chini water quality monitoring using support vector machine / Siti Fatihah Asy Syura Mat Jubit
Water quality monitoring is very important to control the quality of water. Lake Bera and Lake Chini which are known as a very important wetland are used to apply SVM method to predict its water quality. The output used to predict the classification of high medium and low is the dissolved oxygen...
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| Format: | Thesis |
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2012
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| Online Access: | http://studentsrepo.um.edu.my/4507/ http://studentsrepo.um.edu.my/4507/1/SGJ_100008_Fatihah.pdf |
| _version_ | 1848772649485860864 |
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| author | Mat Jubit, Siti Fatihah Asy Syura |
| author_facet | Mat Jubit, Siti Fatihah Asy Syura |
| author_sort | Mat Jubit, Siti Fatihah Asy Syura |
| building | UM Research Repository |
| collection | Online Access |
| description | Water quality monitoring is very important to control the quality of water. Lake Bera and
Lake Chini which are known as a very important wetland are used to apply SVM method
to predict its water quality. The output used to predict the classification of high medium
and low is the dissolved oxygen according to the standard provided by the Interim
National Water Quality Standard of Malaysia and Department of Environment. The
training and test data is divided to 80% for training data and 20% for testing data. The
SVM is implemented using R software package kernlab which used ksvm as its
implementation to do prediction. Kernel Anova was used to create the model. The result
shows that the predicted accuracy is about 74%. |
| first_indexed | 2025-11-14T13:29:52Z |
| format | Thesis |
| id | um-4507 |
| institution | University Malaya |
| institution_category | Local University |
| last_indexed | 2025-11-14T13:29:52Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | um-45072014-10-08T07:45:32Z Lake bera and lake chini water quality monitoring using support vector machine / Siti Fatihah Asy Syura Mat Jubit Mat Jubit, Siti Fatihah Asy Syura L Education (General) Water quality monitoring is very important to control the quality of water. Lake Bera and Lake Chini which are known as a very important wetland are used to apply SVM method to predict its water quality. The output used to predict the classification of high medium and low is the dissolved oxygen according to the standard provided by the Interim National Water Quality Standard of Malaysia and Department of Environment. The training and test data is divided to 80% for training data and 20% for testing data. The SVM is implemented using R software package kernlab which used ksvm as its implementation to do prediction. Kernel Anova was used to create the model. The result shows that the predicted accuracy is about 74%. 2012 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/4507/1/SGJ_100008_Fatihah.pdf Mat Jubit, Siti Fatihah Asy Syura (2012) Lake bera and lake chini water quality monitoring using support vector machine / Siti Fatihah Asy Syura Mat Jubit. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/4507/ |
| spellingShingle | L Education (General) Mat Jubit, Siti Fatihah Asy Syura Lake bera and lake chini water quality monitoring using support vector machine / Siti Fatihah Asy Syura Mat Jubit |
| title | Lake bera and lake chini water quality monitoring
using support vector machine / Siti Fatihah Asy Syura Mat Jubit
|
| title_full | Lake bera and lake chini water quality monitoring
using support vector machine / Siti Fatihah Asy Syura Mat Jubit
|
| title_fullStr | Lake bera and lake chini water quality monitoring
using support vector machine / Siti Fatihah Asy Syura Mat Jubit
|
| title_full_unstemmed | Lake bera and lake chini water quality monitoring
using support vector machine / Siti Fatihah Asy Syura Mat Jubit
|
| title_short | Lake bera and lake chini water quality monitoring
using support vector machine / Siti Fatihah Asy Syura Mat Jubit
|
| title_sort | lake bera and lake chini water quality monitoring
using support vector machine / siti fatihah asy syura mat jubit |
| topic | L Education (General) |
| url | http://studentsrepo.um.edu.my/4507/ http://studentsrepo.um.edu.my/4507/1/SGJ_100008_Fatihah.pdf |