Research Article
Analysis of Girder PCU Subcontractor Selection Method with Analytical Network Process (ANP) (Case Study: Musi IV Bridge Project)
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280502, author={Widi Hartono and Dewi Handayani and Rizky Agung Prabowo and Yoga Kusuma Dewa and Susetyo Rohadi}, title={Analysis of Girder PCU Subcontractor Selection Method with Analytical Network Process (ANP) (Case Study: Musi IV Bridge Project)}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={analytical network process (anp) sub-contractor tender bid price}, doi={10.4108/eai.24-10-2018.2280502} }- Widi Hartono
Dewi Handayani
Rizky Agung Prabowo
Yoga Kusuma Dewa
Susetyo Rohadi
Year: 2018
Analysis of Girder PCU Subcontractor Selection Method with Analytical Network Process (ANP) (Case Study: Musi IV Bridge Project)
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280502
Abstract
Finding capable and reliable sub-contractors is the ideal for the main contractor in completing the project. The project performance of the winning contractor often disappoints the main contractor, indicated by the delay in work, the non-completion of the work, or the quality of work that is below the established standards. To overcome this problem, a sub-contractor selection model is made with various criteria that can be used as a basis for determining the winner with Analytic Network Process (ANP). This study uses 8 criteria divided into 2 clusters. The result is the bid price (0.2713) has the biggest score. Other criteria that have a high score are administration (0.2508), technical ability (0.1073) and financial ability (0.0992). This shows that not only the bid price factor is the basis for determining the prospective tender winner, but there are other criteria that serve as the basis for determining prospective tender winner
