COMPARISON OF PROBABILITY IMPACT MATRIX AND FUZZY LOGIC METHODS FOR RISK ANALYSIS OF RURAL INFRASTRUCTURE PROJECTS IN INDONESIA

Abstract

Through the provision of facilities and infrastructure in the Village, it can be used as an effort to empower the community to accelerate regional economic development that is effective and robust. In its implementation, infrastructure projects have risks that can have an impact on the sustainability of the project. Therefore the research aims to analyze what are the most influential risk factors in Participatory-Based Rural Infrastructure Projects using the PIM (probability impact matrix) and Fuzzy Logic Methods. This research uses a descriptive method with a qualitative and quantitative approach. The collected data will be analyzed using the Fuzzy Logic method. The results of the identification of risk factors for infrastructure projects were identified as many as 23, but after validating the risk identification for rural infrastructure projects, there were 17 identified risk factors. Based on the results of the analysis using the risk matrix, 17 factors have values that tend to be small and overall are at a moderate level. However, after analysis using the Fuzzy Logic method, the risk factor values varied, and there were 8 risk factors that were at a high level, these risk factors included technological failure, land change, negligent social behavior, bad design, inappropriate materials, inappropriate methods, inappropriate Standard Operating Procedures.