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...

Full description

Bibliographic Details
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/ http://umpir.ump.edu.my/id/eprint/25465/ http://umpir.ump.edu.my/id/eprint/25465/ http://umpir.ump.edu.my/id/eprint/25465/1/Multilinear%20regression%20analysis%20on%20solid%20waste%20generation%20quantity.pdf

id	ump-25465
recordtype	eprints
spelling	ump-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/25465/ http://umpir.ump.edu.my/id/eprint/25465/ http://umpir.ump.edu.my/id/eprint/25465/1/Multilinear%20regression%20analysis%20on%20solid%20waste%20generation%20quantity.pdf
first_indexed	2023-09-18T22:39:07Z
last_indexed	2023-09-18T22:39:07Z
_version_	1777416795819343872

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

Similar Items