Application of fuzzy analytical hierarchy process for choosing the best project cost estimation in the Gresik district

Abstract

The purpose of this research is to make an application for cost estimation of road construction projects in the Gresik district. This project is a collaboration with civil engineering and informatics to make an application using the fuzzy analytical hierarchy process (FAHP). Many times the project manager gets bids from many contractors to complete a single project. Cost estimation is a determinant element and becomes a guide to formulating policies that can be taken primarily in determining the number of investment costs or the budget that must be allocated annually and can be made the best suggestion to the project manager which contractor can provide the greatest benefit to the project manager. There are several studies that have developed applications for cost estimation, and some have even involved experts to validate the output of the application. However, this study combines five studies as FAHP calculations and two experts to assess the results of the application. FAHP in this research has five criteria, there are drainage, earthworks, grained pavement and cement pavement, paved pavement, and structure. The FAHP method can be implemented in selecting the best project that can provide the lowest raw material purchase price and give the best profit to the project manager, which can be shown by the Application FAHP with the lowest Total Score value. This process is carried out by the admin doing pairwise comparisons with the AHP scale, transforming the pairwise comparison matrix into the TFN scale, calculating the fuzzy synthesis value (Si), the vector value (V), and the defuzzification ordinate (d'), input the project budget that has been implemented (or last year), normalization, calculating the consistency ratio and calculating the best cost estimation as a total score FAHP.