International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 9  (September 2017), Pages:  46-52

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

Author(s):  Faridah Zulkipli 1, *, Zulkifli Mohd Nopiah 2, Noor Ezlin Ahmad Basri 2, Cheng Jack Kie 3, Siti Sarah Januri 4

Affiliation(s):

1Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia
2Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 39000 UKM Bangi, Selangor, Malaysia
3Faculty of Industrial Management, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia
4Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (Kampus Seremban 3), 73600 Seremban, Negeri Sembilan, Malaysia

https://doi.org/10.21833/ijaas.2017.09.006

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Abstract:

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. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Solid waste generation, Solid waste management, Sustainable development, Correlation analysis, Multilinear regression analysis

Article History: Received 28 April 2017, Received in revised form 27 July 2017, Accepted 30 July 2017

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.09.006

Citation:

Zulkipli F, Nopiah ZM, Basri NEA, Kie CJ, and Januri SS (2017). Multilinear regression analysis on solid waste generation quantity in Malaysia towards sustainable development. International Journal of Advanced and Applied Sciences, 4(9): 46-52

http://www.science-gate.com/IJAAS/V4I9/Zulkipli.html

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