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Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development

Inadequate data will affect the efficiency of future planning of solid waste management in order to achieve sustainable development. The purpose of this paper is to investigate the effect of a number of factors, namely GDP, Demand of electricity, Population and Number of Employment, which could be a...

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Main Authors: Faridah, Zulkipli, Zulkifli, Mohd Nopiah, Noor Ezlin, Ahmad Basri, Cheng, Jack Kie, Siti Sarah, Januri
Format: Article
Language:English
Published: IASE 2017
Subjects:
TD Environmental technology. Sanitary engineering
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/25465/1/Multilinear%20regression%20analysis%20on%20solid%20waste%20generation%20quantity.pdf
http://umpir.ump.edu.my/id/eprint/25465/
https://doi.org/10.21833/ijaas.2017.09.006
https://doi.org/10.21833/ijaas.2017.09.006
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spelling my.ump.umpir.254652020-02-11T06:37:33Z http://umpir.ump.edu.my/id/eprint/25465/ Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development Faridah, Zulkipli Zulkifli, Mohd Nopiah Noor Ezlin, Ahmad Basri Cheng, Jack Kie Siti Sarah, Januri TD Environmental technology. Sanitary engineering TP Chemical technology Inadequate data will affect the efficiency of future planning of solid waste management in order to achieve sustainable development. The purpose of this paper is to investigate the effect of a number of factors, namely GDP, Demand of electricity, Population and Number of Employment, which could be applied to predict the solid waste generation quantities and improve the management of future planning. The data were statistically analyzed by conducting a bivariate analysis and multilinear regression analysis. The results revealed that the GDP, Demand of electricity, Population and Number of Employment reflects the prediction of sustainable solid waste generation. It was found that addition of all predictor variables accounted for 98.9 percent (r = 0.989) changes in the variance in the quantity of solid waste generation. Consequently, the department of solid waste can increase its effectiveness and efficiency in management through the prediction of the quantity of solid waste generation. IASE 2017-09 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/25465/1/Multilinear%20regression%20analysis%20on%20solid%20waste%20generation%20quantity.pdf Faridah, Zulkipli and Zulkifli, Mohd Nopiah and Noor Ezlin, Ahmad Basri and Cheng, Jack Kie and Siti Sarah, Januri (2017) Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development. International Journal of Advanced and Applied Sciences, 4 (9). pp. 46-52. ISSN 2313-626X https://doi.org/10.21833/ijaas.2017.09.006 https://doi.org/10.21833/ijaas.2017.09.006
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TD Environmental technology. Sanitary engineering
TP Chemical technology
spellingShingle TD Environmental technology. Sanitary engineering
TP Chemical technology
Faridah, Zulkipli
Zulkifli, Mohd Nopiah
Noor Ezlin, Ahmad Basri
Cheng, Jack Kie
Siti Sarah, Januri
Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development
description Inadequate data will affect the efficiency of future planning of solid waste management in order to achieve sustainable development. The purpose of this paper is to investigate the effect of a number of factors, namely GDP, Demand of electricity, Population and Number of Employment, which could be applied to predict the solid waste generation quantities and improve the management of future planning. The data were statistically analyzed by conducting a bivariate analysis and multilinear regression analysis. The results revealed that the GDP, Demand of electricity, Population and Number of Employment reflects the prediction of sustainable solid waste generation. It was found that addition of all predictor variables accounted for 98.9 percent (r = 0.989) changes in the variance in the quantity of solid waste generation. Consequently, the department of solid waste can increase its effectiveness and efficiency in management through the prediction of the quantity of solid waste generation.
format Article
author Faridah, Zulkipli
Zulkifli, Mohd Nopiah
Noor Ezlin, Ahmad Basri
Cheng, Jack Kie
Siti Sarah, Januri
author_facet Faridah, Zulkipli
Zulkifli, Mohd Nopiah
Noor Ezlin, Ahmad Basri
Cheng, Jack Kie
Siti Sarah, Januri
author_sort Faridah, Zulkipli
title Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development
title_short Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development
title_full Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development
title_fullStr Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development
title_full_unstemmed Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development
title_sort multilinear regression analysis on solid waste generation quantity in malaysia towards sustainable development
publisher IASE
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/25465/1/Multilinear%20regression%20analysis%20on%20solid%20waste%20generation%20quantity.pdf
http://umpir.ump.edu.my/id/eprint/25465/
https://doi.org/10.21833/ijaas.2017.09.006
https://doi.org/10.21833/ijaas.2017.09.006
_version_ 1662754717615259648
score 13.211869

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