International Journal on Advanced Science, Engineering and Information Technology, Vol. 8 (2018) No. 2, DOI:10.18517/ijaseit.8.2.4315

A Dynamic Model for Assessing the Effects of Construction Worker Waste Behavior to Reduce Material Waste

Herlina Suciati, Tri Joko Wahyu Adi, I Putu Artama Wiguna


Construction waste has become a pressing issue in many developing countries and has adverse effect on environment, economic and social aspects. The construction industry in Indonesia is characterized by the use of the human resources that are more intensive compared to the use of technology. The high use of human resources in the construction industry caused human factor plays an important role an effort to reduce construction waste. As the result, the behavior of construction workers indicated very influentially to the material waste generate from the construction project. The purpose of this research is to determine the relationship between the waste behavior of construction workers toward waste and its effects on material waste reduction. Research variables that affected the waste behavior of construction workers are obtained from the literature review on the previous studies. A  system dynamic model is used to describe relationships between variables that affected the waste behavior of construction workers and simulate their effects on material waste reduction. A causal model between variables is verified by survey respondents using an interview and a questionnaire survey. It is intended that all variables used and established relationships in the model may represent a real system in the field so as to provide an accurate result. Simulation on the basic model is shown the result that the change of waste behavior of construction workers can reduce material waste by 13.30% of the total material waste. The results of the simulation and scenario of the model are shown that the organizational management has the highest influence on the material waste reduction due to the changing of workers’ waste behavior, which is 34.58% higher than the base model. And followed by personal factor, organizational culture, and attitudes variables.


Waste behavior; material waste; construction worker; system dynamic

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