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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Main Authors: Ab Malek, Haslinda, Zakaria, Mohamad Hafizi, Zulkifli, Muhammad Luqman, Roslan, Nur Farahin
Format: Article
Language:English
Published: Universiti Teknologi MARA 2021
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Online Access:http://ir.uitm.edu.my/id/eprint/47819/1/47819.pdf
http://ir.uitm.edu.my/id/eprint/47819/
https://mjoc.uitm.edu.my
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spelling my.uitm.ir.478192021-06-21T07:54:04Z http://ir.uitm.edu.my/id/eprint/47819/ Determinants of non-revenue water / Haslinda Ab Malek … [et al.] Ab Malek, Haslinda Zakaria, Mohamad Hafizi Zulkifli, Muhammad Luqman Roslan, Nur Farahin Mathematical statistics. Probabilities Multivariate analysis. Cluster analysis. Longitudinal method Programming languages (Electronic computers) 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. Universiti Teknologi MARA 2021-01 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/47819/1/47819.pdf ID47819 Ab Malek, Haslinda and Zakaria, Mohamad Hafizi and Zulkifli, Muhammad Luqman and Roslan, Nur Farahin (2021) Determinants of non-revenue water / Haslinda Ab Malek … [et al.]. Malaysian Journal of Computing (MJoC), 6 (1). pp. 642-649. ISSN (eISSN): 2600-8238 https://mjoc.uitm.edu.my
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
Multivariate analysis. Cluster analysis. Longitudinal method
Programming languages (Electronic computers)
spellingShingle Mathematical statistics. Probabilities
Multivariate analysis. Cluster analysis. Longitudinal method
Programming languages (Electronic computers)
Ab Malek, Haslinda
Zakaria, Mohamad Hafizi
Zulkifli, Muhammad Luqman
Roslan, Nur Farahin
Determinants of non-revenue water / Haslinda Ab Malek … [et al.]
description 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.
format Article
author Ab Malek, Haslinda
Zakaria, Mohamad Hafizi
Zulkifli, Muhammad Luqman
Roslan, Nur Farahin
author_facet Ab Malek, Haslinda
Zakaria, Mohamad Hafizi
Zulkifli, Muhammad Luqman
Roslan, Nur Farahin
author_sort Ab Malek, Haslinda
title Determinants of non-revenue water / Haslinda Ab Malek … [et al.]
title_short Determinants of non-revenue water / Haslinda Ab Malek … [et al.]
title_full Determinants of non-revenue water / Haslinda Ab Malek … [et al.]
title_fullStr Determinants of non-revenue water / Haslinda Ab Malek … [et al.]
title_full_unstemmed Determinants of non-revenue water / Haslinda Ab Malek … [et al.]
title_sort determinants of non-revenue water / haslinda ab malek … [et al.]
publisher Universiti Teknologi MARA
publishDate 2021
url http://ir.uitm.edu.my/id/eprint/47819/1/47819.pdf
http://ir.uitm.edu.my/id/eprint/47819/
https://mjoc.uitm.edu.my
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score 13.18916