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Model of Construction Waste Management Using AMOS-SEM for Indonesian Infrastructure Projects
- Source :
- MATEC Web of Conferences, Vol 138, p 05005 (2017)
- Publication Year :
- 2017
- Publisher :
- EDP Sciences, 2017.
-
Abstract
- Construction waste is being produced by the infrastructure project. Thus, waste minimization is an important area to implementation of the construction waste management in Indonesia. This paper aims to build model of construction waste management and to determine the significantly of factors that can improved construction waste management for Indonesian infrastructure projects. This study identified 20 factors to improve the construction waste management that grouped into 5 groups, they are policy, asset, technology, human resources and knowledge. Methods of research carried out by site observation and discussion with contractors using questionnaire instrument and focusing to contractors engaged in various type infrastructure projects in Indonesia with amount of 383 respondents. The 5 groups of factors were developed into AMOS-SEM model to determine significant level in contributing to construction waste management. Data was analyzed uses the Structural Equation Modeling (SEM) techniques with the aid of Analysis of Moment Structures (AMOS) statistical package to overcome these factors, where a family of statistical models that seek to explain the relationships of covariant among multiple variables were formulated by combining a measurement model with structural model into a statistical test. The model will be recommandation to improve construction waste management for Indonesian infrastructure projects future.
- Subjects :
- Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English, French
- ISSN :
- 2261236X
- Volume :
- 138
- Database :
- Directory of Open Access Journals
- Journal :
- MATEC Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b65ffd8646894563990890b022387a23
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/matecconf/201713805005