Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]

The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated i...

Full description

Saved in:
Bibliographic Details
Main Authors: Hassan, Siti Hafizan, Abdul Aziz, Hamidi, Abdul Hamid, Mohd Samsudin, Mohd Nasir, Siti Rashidah, Mohamed Noor, Suhailah
Format: Article
Language:English
Published: Universiti Teknologi Mara Cawangan Pulau Pinang 2019
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/28940/1/AJ_SITI%20HAFIZAN%20HASSAN%20EAJ%20P%2019.pdf
http://ir.uitm.edu.my/id/eprint/28940/
http://uppp.uitm.edu.my
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.28940
record_format eprints
spelling my.uitm.ir.289402020-03-30T08:34:44Z http://ir.uitm.edu.my/id/eprint/28940/ Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.] Hassan, Siti Hafizan Abdul Aziz, Hamidi Abdul Hamid, Mohd Samsudin Mohd Nasir, Siti Rashidah Mohamed Noor, Suhailah TH Building construction Environmental engineering of buildings. Sanitary engineering of buildings The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated in construction. The objectives of this study are to determine the tile waste generated in construction stages and linear regression analysis for the amount of tile waste generated. The method used in this study was the Linear Regression Model. The regression model established in the sample data reported an R2 value of 0.793; therefore, the model can predict approximately 79.3% of the factor (area) of tile waste generation. The linear regressions can be applied as tools to predict the tile waste generated at construction sites and help the contractor to track the sources of missing waste. Universiti Teknologi Mara Cawangan Pulau Pinang 2019-12-30 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/28940/1/AJ_SITI%20HAFIZAN%20HASSAN%20EAJ%20P%2019.pdf Hassan, Siti Hafizan and Abdul Aziz, Hamidi and Abdul Hamid, Mohd Samsudin and Mohd Nasir, Siti Rashidah and Mohamed Noor, Suhailah (2019) Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]. ESTEEM Academic Journal, 15. pp. 11-23. ISSN 2289-4934 http://uppp.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 TH Building construction
Environmental engineering of buildings. Sanitary engineering of buildings
spellingShingle TH Building construction
Environmental engineering of buildings. Sanitary engineering of buildings
Hassan, Siti Hafizan
Abdul Aziz, Hamidi
Abdul Hamid, Mohd Samsudin
Mohd Nasir, Siti Rashidah
Mohamed Noor, Suhailah
Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]
description The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated in construction. The objectives of this study are to determine the tile waste generated in construction stages and linear regression analysis for the amount of tile waste generated. The method used in this study was the Linear Regression Model. The regression model established in the sample data reported an R2 value of 0.793; therefore, the model can predict approximately 79.3% of the factor (area) of tile waste generation. The linear regressions can be applied as tools to predict the tile waste generated at construction sites and help the contractor to track the sources of missing waste.
format Article
author Hassan, Siti Hafizan
Abdul Aziz, Hamidi
Abdul Hamid, Mohd Samsudin
Mohd Nasir, Siti Rashidah
Mohamed Noor, Suhailah
author_facet Hassan, Siti Hafizan
Abdul Aziz, Hamidi
Abdul Hamid, Mohd Samsudin
Mohd Nasir, Siti Rashidah
Mohamed Noor, Suhailah
author_sort Hassan, Siti Hafizan
title Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]
title_short Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]
title_full Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]
title_fullStr Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]
title_full_unstemmed Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan… [et al.]
title_sort development of linear regression model for tile waste generation in malaysian construction industry / siti hafizan hassan… [et al.]
publisher Universiti Teknologi Mara Cawangan Pulau Pinang
publishDate 2019
url http://ir.uitm.edu.my/id/eprint/28940/1/AJ_SITI%20HAFIZAN%20HASSAN%20EAJ%20P%2019.pdf
http://ir.uitm.edu.my/id/eprint/28940/
http://uppp.uitm.edu.my
_version_ 1685650477134381056
score 13.160551