Open AccessANALYSIS FUZZY AHP FOR OPTIMIZATION CONTRACTOR SELECTION USING MULTI-CRITERIA IN DETERMINING THE BEST ALTERNATIVE CONTRACTOR
Author(s) -
Dedi Rustandi,
Tukas Shilul Imaroh
Publication year - 2021
Publication title -
dinasti international journal of management science
Language(s) - English
Resource type - Journals
eISSN - 2686-522X
pISSN - 2686-5211
DOI - 10.31933/dijms.v2i6.959
Subject(s) - selection (genetic algorithm) , analytic hierarchy process , consistency (knowledge bases) , reputation , operations research , operations management , fuzzy logic , computer science , risk analysis (engineering) , business , engineering , social science , artificial intelligence , sociology
Using inappropriate criteria in contractor’s selection can lead to the failure of a construction project. This study aims to provide an optimal solution for contractor selection using multi-criteria. The criteria were obtained from previous research and concluded in the Focus Group Discussion. The analytical method used is Fuzzy-AHP, involving 14 experts who are registered contractors in the Company who have good performance and the contractor selection process involves a Tender Committee consisting of 5 appointed employees. The conclusion of this study shows that the criteria and weights that can be used for contractor selection are 35% bid, 22% technical ability, 13% financial ability, 11% reputation, 10% management ability and the last safety management with a weight of 9%. Each criterion has sub-criteria indicators with a total of 41 sub-criteria. Result of the consistency ratio below 10%. The conclusion contractor selection analysis using multi-criteria can screen the best contractor.