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LIQUEFACTION POTENTIAL ANALYSIS BASED ON THE GLOBAL GEOSPATIAL MODEL (GGM) METHOD IN TARUTUNG DISTRICT Nova Aulia Rahma Nasution; Ratni Sirait; Russell Ong; Sugeng
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 10 (2025): SEPTEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i10.1079

Abstract

This study focuses on knowing the Vs30 value in Tarutung District, knowing the Peak Ground Velocity (PGV) value in Tarutung District, knowing the potential for liquefaction in Tarutung District using the Global Geospatial Model (GGM) method. The results of this study are that the Vs30 value in Tarutung District has a distribution in the range of 255 M / S which is in the North to the Northeast and covers almost half of the Tarutung District area with a classification of medium soil type, very dense soil or soft rock, up to 897.8 M / S which is spread in the lower southwest direction of Tarutung District to several points to the southeast of Tarutung District with a classification of very dense soil type or soft rock and rock. The PGV value in Tarutung District based on the worst earthquake scenario in the Toru segment of the Sumatran fault varies in the range of 7.94 cm/s to 15.20 cm/s. The potential for liquefaction in Tarutung District based on the Global Geospatial Model has various values. The lowest percentage value of liquefaction probability is 0.024, which is in the north, southeast, and northwest of Tarutung District, and the highest percentage value of probability is 0.961, which is in the northeast and southwest of Tarutung District.
Effect of Magnitude and Distance on Peak Ground Acceleration Using a Modified Akkar & Boomer (2007) GMPE for North Sumatra Tia Melati; Lailatul Husna Lubis; Ratni Sirait; Angga Wijaya
Journal of Technomaterial Physics Vol. 7 No. 2 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i2.22751

Abstract

The Ground Motion Prediction Equation (GMPE) is very important in estimating the intensity of earthquake shocks as a basis for risk mitigation. This study aims to modify and validate the Akkar & Boomer (2007) GMPE using shallow earthquake data in the North Sumatra region for the period 2017–2023. The earthquake data were obtained from BMKG and included parameters such as magnitude, depth, and distance from the source. The analysis method involved nonlinear regression, data cleaning, and validation using residual analysis. The results showed that the maximum ground acceleration (PGA) tended to decrease nonlinearly with increasing distance from the earthquake source. The modified GMPE equation was: Log₁₀ PGA = −0.5916 + 0.5875M + 0.0576M² + (−0.8699 + − 0.1985M) Log₁₀(√R² + 8.2032²) + 0.105, with an R² value of 0.56 and prediction error values such as 0.21; MAE 0.36; RMSE 0.46; STD 0.46). Thus, the modification of GMPE based on local data can provide a more representative estimate of earthquake hazards to support mitigation efforts in North Sumatra.