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 (Author), Abdul Aziz, Hamidi (Author), Abdul Hamid, Mohd Samsudin (Author), Mohd Nasir, Siti Rashidah (Author), Mohamed Noor, Suhailah (Author)
Format: Book
Published: Universiti Teknologi Mara Cawangan Pulau Pinang, 2019-12.
Subjects:
Online Access:Link Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 repouitm_28940
042 |a dc 
100 1 0 |a Hassan, Siti Hafizan  |e author 
700 1 0 |a Abdul Aziz, Hamidi  |e author 
700 1 0 |a Abdul Hamid, Mohd Samsudin  |e author 
700 1 0 |a Mohd Nasir, Siti Rashidah  |e author 
700 1 0 |a Mohamed Noor, Suhailah  |e author 
245 0 0 |a Development of linear regression model for tile waste generation in Malaysian construction industry / Siti Hafizan Hassan... [et al.] 
260 |b Universiti Teknologi Mara Cawangan Pulau Pinang,   |c 2019-12. 
500 |a https://ir.uitm.edu.my/id/eprint/28940/1/AJ_SITI%20HAFIZAN%20HASSAN%20EAJ%20P%2019.pdf 
520 |a 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. 
546 |a en 
690 |a TH Building construction 
690 |a Environmental engineering of buildings. Sanitary engineering of buildings 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/28940/ 
787 0 |n https://uppp.uitm.edu.my 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/28940/  |z Link Metadata