Fuzzy Logic Approach for Earthquake Risk Around Menanga Fault, Lampung

Abstract

Abstract Earthquake mitigation was one of the most complex and challenging parts in disaster risk management due to its complex aspects because there will be surprises of magnitude and uncertain points of shocks. Hence, comprehensive and detailed analysis and modeling is needed to solve this kind of complexity. Fuzzy logic considers the promising approach for risk mitigation modeling with its algorithm that could help to model the uncertainties and ambiguities. Menanga Fault was the active fault that is now believed as the source of the earthquake that happened earlier in the Pesawaran area, Lampung. This paper aims to determine the earthquake risk level around Menanga Fault with fuzzy logic approach. The result of this research shows three levels of risk around the Menanga Fault and the highest was in the south and west area, especially in the coastal area.