MODELING CONSTRUCTION LABOUR DEMAND IN WEST JAVA PROVINCE
The current condition of West Java province which depends on the construction sector is proofed by the value of gross regional domestic product (GRDP) of around 8.44%. West Java Province BAPPEDA Strategic Plan budgeted Rp 48 trillion in 2021 for infrastructure development. This value needs to be bal...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/53304 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The current condition of West Java province which depends on the construction sector is proofed by the value of gross regional domestic product (GRDP) of around 8.44%. West Java Province BAPPEDA Strategic Plan budgeted Rp 48 trillion in 2021 for infrastructure development. This value needs to be balanced with a construction labour of around 1 million people to carry out the construction value where in 2018 the existing labour is only around 560 thousand people. Both the government and the contractor need to think about the number of construction workers needed so that the planned project can take place. Current estimates are impractical and tend to focus on a single project. Estimation carried out in this study using multiple linear regression modeling. The purpose this modeling is to determine the construction labour demand based on the variables that influence it. The variables used in this model are the own estimate price (HPS) value, the complexity of the field, the complexity of the building technology and the duration of the project. Modeling is carried out using data from the LPSE building projects in West Java province. Modeling is carried out twice where one model does not use a duration variable, because the purpose is to see the effect of the duration variable itself. Based on the results of statistical analysis, it was found that the duration variable has an effect on the construction labour demand with a value of R2 of 84%, reliability value of 0.671 and MAPE of 11.72%. This value is better than the model without using duration. Other influential variables are the HPS value and the complexity of the field. Using the model without following the existing constraints will result in a large error value. The model can be modified to estimate the number of jobs generated by dividing the value of the required construction labour by the planned duration of the project.
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