Determinants of non-revenue water / Haslinda Ab Malek ... [et al.]

Water is one of the most essential needs in human daily life. Water losses or Non-Revenue Water (NRW) refers to the treated water that has been produced from water plant which did not reach to the customer. This waste of water has caused the company to suffer losses and hence, burdens the people wit...

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Bibliographic Details
Main Authors: Ab Malek, Haslinda (Author), Zakaria, Mohamad Hafizi (Author), Zulkifli, Muhammad Luqman (Author), Roslan, Nur Farahin (Author)
Format: Book
Published: Universiti Teknologi MARA, 2021-04.
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042 |a dc 
100 1 0 |a Ab Malek, Haslinda  |e author 
700 1 0 |a Zakaria, Mohamad Hafizi  |e author 
700 1 0 |a Zulkifli, Muhammad Luqman  |e author 
700 1 0 |a Roslan, Nur Farahin  |e author 
245 0 0 |a Determinants of non-revenue water / Haslinda Ab Malek ... [et al.] 
260 |b Universiti Teknologi MARA,   |c 2021-04. 
500 |a https://ir.uitm.edu.my/id/eprint/47819/1/47819.pdf 
520 |a Water is one of the most essential needs in human daily life. Water losses or Non-Revenue Water (NRW) refers to the treated water that has been produced from water plant which did not reach to the customer. This waste of water has caused the company to suffer losses and hence, burdens the people with increasing water tariff. Moreover, it becomes one of the challenges for commercial water system management because the water company must fulfil the demand from the society which keep increasing day by day. In addition, the demand for water is increasing, as the population is growing. Despite having the rainfall throughout the year in Malaysia, many cities are experiencing water shortage and frequent water supply disruptions. Therefore, efficient management of water distribution is required to minimise the water losses and to make sure the sustainability of water reserve for a long period. This study focuses on identifying the significant factors that influence the Non-Revenue Water and modelling the data using Multiple Linear Regression Model. The sample size used in this study were 212 observations and the variables involved were Length of Connection, Number of Connection, Production Quantity, Consumption Quantity and Non-Revenue Water. It is found that the variables of Number of Connection, Consumption Quantity and Production Quantity were significant to Non-Revenue Water whereas the variable of Length of Connection was not significant. It is hoped that the result from this study can be used by the water authority company in improving the water distribution and thus reduce water losses and cost. 
546 |a en 
690 |a Mathematical statistics. Probabilities 
690 |a Multivariate analysis. Cluster analysis. Longitudinal method 
690 |a Programming languages (Electronic computers) 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/47819/ 
787 0 |n https://mjoc.uitm.edu.my 
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