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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| Format: | Article |
| Language: | English |
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IASE
2017
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| Online Access: | 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 |
| _version_ | 1848822288154099712 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:38:51Z |
| format | Article |
| id | ump-25465 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:38:51Z |
| publishDate | 2017 |
| publisher | IASE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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. (Published) https://doi.org/10.21833/ijaas.2017.09.006 https://doi.org/10.21833/ijaas.2017.09.006 |
| 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 |
| title | 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_short | 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 |
| topic | TD Environmental technology. Sanitary engineering TP Chemical technology |
| 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 |