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All Journal Jurnal Fisika dan Terapannya Journal of Computation Physics and Earth Science
Sandy Tri Gustono
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

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Studi Klasifikasi Jenis Tanah Dan Analisis Kecepatan Gelombang Geser Menggunakan Metode Inversi HVSR Di Kota Serang, Banten Sandy Tri Gustono; Muhammad Bintang Nugroho; Bambang Sunardi; Khairina Fauzi
JFT : Jurnal Fisika dan Terapannya Vol 10 No 2 (2023): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v10i2.34733

Abstract

Serang City is a city that is prone to earthquakes. To minimize the disaster impact, the identification of dynamic and local soil conditions is needed. One of the methods that can be used is microtremor. Microtremor measurements have been carried out by the BMKG’s Seismotek Team in all areas of Serang City. Furthermore, the microtremor data was processed using the Horizontal to Vertical Spectral Ratio (HVSR) method to analyze the predominant frequency curve and value. Then the inversion method is applied to the results to obtain the model of the shear wave velocity (Vs) values. The results of modeling are then used to calculate the distribution of Vs30 values and classification of soil types and also modeled in 3-D to identify sediment thickness in Serang City. Microtremor data processing shows that the predominant frequency values in Serang City vary. The predominant frequency value ranges from 0,57 to 14,27 Hz. Then the results of the HVSR inversion obtained Vs30 in Serang City around 190 – 1400 m/s. Based on the soil classification by SNI 1726:2019, the type of soil varies from soft soil (SE), medium soil (SD), hard soil, and soft rock (SC), and there is one 1 data with rock soil classification (SB). The value of the Vs tends to be low in the north and east areas and increases further in the south and west area.
Estimation of Jayapura 2023 Aftershock Decay Time Using Python-Based Secant Algorithm Hielmy, Rayhan Irfan; Sandy Tri Gustono
Journal of Computation Physics and Earth Science (JoCPES) Vol 5 No 2 (2025): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v5i2.07

Abstract

Accurately determining the termination time of aftershocks is crucial for disaster mitigation and establishing safe periods for community recovery. This study aimed to estimate the decay time of the January 2023 Jayapura aftershock sequence (M 5.4) using a numerical computational approach. The Mogi II decay model was selected due to its high compatibility with local seismicity. To resolve its complex non-linear exponential equations without analytical derivatives, the Secant Method was implemented using Python. The algorithm was initialized with starting guess values of x0=0 and x1=1, and an error tolerance of 0.0001. To validate algorithmic robustness and efficiency, a sensitivity test was conducted, and the method was benchmarked against the Bisection method. Results demonstrated that the Secant algorithm achieved superior computational efficiency, converging in exactly 10 iterations (~0.000115 seconds) compared to Bisection's 18 iterations, while remaining highly stable under arbitrary extreme initial guesses. The numerical solution predicted the decay termination at day 12.765, subsequently rounded to 13 days following the mainshock. This finding showed exact agreement with manual observational data, successfully extrapolating the decay trajectory beyond the 10-day BMKG recording window. The study concluded that the Python-based Secant algorithm is effective, rapid, robust, and precise in solving the Mogi II equation, demonstrating significant potential as an automated analytical tool to enhance disaster mitigation decision-making.
Co-Authors Bambang Sunardi Hielmy, Rayhan Irfan Khairina Fauzi Muhammad Bintang Nugroho