Lake bera and lake chini water quality monitoring using support vector machine / Siti Fatihah Asy Syura Mat Jubit

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.

[img]
Preview
PDF (Full Text)
Download (815Kb) | Preview

    Abstract

    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%.

    Item Type: Thesis (Masters)
    Additional Information: Dissertation (M.A) – Institute of Graduate Studies, Univerity Malaya, 2012.
    Uncontrolled Keywords: Lake bera and lake chini water quality
    Subjects: L Education > L Education (General)
    Divisions: Institute of Graduate Studies
    Depositing User: Mrs Nur Aqilah Paing
    Date Deposited: 08 Oct 2014 15:45
    Last Modified: 08 Oct 2014 15:45
    URI: http://studentsrepo.um.edu.my/id/eprint/4507

    Actions (For repository staff only : Login required)

    View Item