Penentuan Kedalaman dan Sudut Kemiringan Sesar Grindulu di Pacitan Menggunakan Metode Crow Search Algorithm (CSA) pada Data Self-Potential (SP)

Self-Potential (SP) is a geophysical survey method that relatively easy and inexpensive. Interpretation of SP data can be used for various purposes such as the detection landslide-prone areas, exploration types minerals, identification parameters fault or crack. In this study, acquisition was carried out in Tambakrejo Village, Pacitan District with total 102 measurement which aims to determine depth dip Grindulu Fault. acquired field needs corrected reference, namely corrections caused by displacement starting point measurement. This then filtered increase signal-to-noise ratio (SNR) sharpen resulting anomalies. filtering process using ICEEMD (Improved Complete Ensemble Empirical Mode Decomposition) development EMD method. Furthermore, inversion obtain model utilizing CSA (Crow Search Algorithm) Based on anomaly generated from process, it concluded Fault identified at distance 803,8 meters depths ranging 11,06 102,74 meters. based distance, depth, shape data, value calculated. The calculation results show study area 75.58o. Identification form very important efforts comprehensively.