The study of raw water based on quality parameter using smell-print sensing device

Suziyanti, Zaib and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Nurdiyana, Zahed and Muhamad Faruqi, Zahari and Nur Farina, Hamidon Majid and Mujahid, Mohamad and Hadi, Manap (2020) The study of raw water based on quality parameter using smell-print sensing device. In: Lecture Notes in Electrical Engineering; 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019, 29 - 30 July 2019 , Swiss Garden Beach Resort, Kuantan. 193 -203., 632. ISSN 1876-1100 ISBN 9789811523168

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Water is a renewable natural resource and comprises about 70% of earth whilst the balance is land. Cleanliness and purity of drinking water is important for human health worldwide, thus it is important to know the water body source content so that consumption of it does not give any risk to human body’s health. This study focuses on establishing a case library profile and classification of water based on recommended by Ministry of Health (MOH). This study water quality parameters such as iron (Fe) and pH is obtained using Electronic nose (E-nose). E-nose is an instrument that mimics human nose that has the ability to sniff in advance for volatile odor. However, colourless and odourless chemical usually undetectable by normal eyes or noses. Case Based Reasoning (CBR) is used in performing the intelligent classification that involved CBR computation, voting and performance measure. The similarity result shows that the technique accomplished to classify with 97.5% accuracy, 88.0% specificity and 92.2% accuracy.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Water quality; E-nose; CBR
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 08 Dec 2021 02:15
Last Modified: 08 Dec 2021 02:15
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