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Metode Double-Difference Untuk Merelokasi Hiposenter Gempabumi Susulan Seririt Singaraja Baskoro, Winardi Tjahyo; Kasmawan, I Gde Antha; Putra, I Ketut; Ratini, Ni Nyoman; Sismanto
Kappa Journal Vol 8 No 1 (2024): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i1.24434

Abstract

A method that does not require a main earthquake (master event) that can be used simultaneously to relocate a very large number of earthquakes with wide hypocenter separation is called the double-difference method. A method used to relocate the aftershocks in Seririt Singaraja on November 14 2019 with coordinate positions 113.478 – 115.181 East Longitude and 8.357 – 7.894 South Latitude. The earthquake data used in this research was accumulated from 85 BMKG seismic stations. Data analysis uses cross-correlation time differences which can increase the accuracy of travel time between the receiving station and the earthquake, thereby reducing errors in calculations. The double difference method used to relocate the earthquake in the Seririt Singaraja area showed that there was a shift in the location of the earthquake hypocenter before and after it was relocated. Horizontally and vertically, the distribution of earthquake hypocenters before and after being relocated occurs when there is a collection of location shifts. The results of this research were able to relocate 152 aftershocks properly. The main earthquake after being relocated was at a depth of 17 km, while the distribution of aftershocks was at a depth of around 6-25 km, so that it can more accurately describe the position of the earthquake source and is able to show clearer and easier to interpret structural patterns.
IDENTIFIKASI STRUKTUR BAWAH PERMUKAAN BERDASARKAN DATA ANOMALI GRAVITASI DI PULAU LOMBOK Threza, Imelda; Baskoro, Winardi Tjahyo; Alit Pramarta, Ida Bagus; Sukarasa, I Ketut; Suardana, Putu; Supardi, I Wayan
Kappa Journal Vol 8 No 1 (2024): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i1.25139

Abstract

Abstract: Research on the identification of subsurface structures based on gravity anomaly data on Lombok Island. This research aims to create a map and determine the value of the complete Bouguer anomaly, regional anomaly, residual anomaly, subsurface density value and create a 2-D model of the subsurface structure. The data used is secondary data, namely satellite gravity anomaly data obtained from the topex website. Data processing in this research uses the gravity method. In this method, gravity correction will be carried out, making a complete bouguer anomaly map, conducting spectrum analysis, separating regional and residual anomalies using butterworth filters and forward modeling to obtain a 2-D model of the subsurface structure. The results of the complete bouger anomaly map are 10.2 to 297.1 mGal, regional anomalies 18.0 to 271.1 mGal and residual anomalies between (-52.9 to 32.4) mGal. The results of forward modeling show that the subsurface geological structure on Lombok Island has a density range between 1 to 2.9 g/cm3, so that from the range of rock density values it can be estimated that the subsurface structure of Lombok Island is divided into East Lombok consisting of Soil rocks (1 to 1.99 g/cm3), Lime Stone (2 to 2, 27 g/cm3), Andesite (2.4 to 2.63 g/cm3) and Basalt (2.71 to 2.99 g/cm3), for West Lombok consists of Lime Stone (2.08 to 2.6 g/cm3), Andesite (2, 68 to 2.77 g/cm3) and Basalt (2.85 to 2.99 g/cm3) and for Central Lombok consists of Andesite (2.41 to 2.72 g/cm3), Basalt (2.84 to 2.99 g/cm3).  
Determining Seismicity Using the Likelihood Method in Sumbawa Island Region Period 1972-2022 Celline; Baskoro, Winardi Tjahyo; Saputra Rahman, Muhammad Soekarno
Kappa Journal Vol 8 No 1 (2024): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i1.25409

Abstract

Research has been carried out regarding the determination of seismicity in the Sumbawa Island region for the period 1972-2022 with observation area boundaries of 116.5° – 119.3° East Longitude and 10° – 8° South Latitude. The research was carried out at the Center for Meteorology, Climatology and Geophysics Region III Denpasar using the likelihood method which was adjusted to the seismicity level M ≥ 3 and depth ≤ 30 km. Determining the b-value was calculated using the likelihood method and obtained b-values for the 4 regions ranging from 0.6 – 0.7 and a-values ranging from 4.7 – 5.4. The return period for earthquakes ranges from 1.03 – 308.1 years. The results show that region 3 has the largest b-value, namely 0.796. The region that has the largest a-value is region 1, namely 5.405. The shortest earthquake return period is region 1 with 1.049 years and the longest is region 3 with 314.6 years.
Development of Total Suspended Solids (TSS) Algorithm Based on Visible Spectrum Reflectance of Sentinel-2 Imagery (Case: in Suwung Estuary, Bali) Yuliara, I Made; Ratini, Ni Nyoman; Baskoro, Winardi Tjahyo; Wibisana, Hendrata
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11039

Abstract

This study aims to develop and build a new algorithm model that is suitable for predicting the concentration and spatial distribution of total suspended solids (TSS) in the Suwung estuary in Bali based on the visible spectrum reflectance of Sentinel-2 imagery. A total of 20 water samples were taken at selected coordinates and the time coincided with the Sentinel-2 satellite recording the research location. The TSS concentration of the samples was measured in the laboratory (in-situ) and the bottom of atmosphere reflectance correction (  used the dark object substaction (DOS) method. The development used regression and correlation of in-situ data with imagery. Three algorithm models, namely Budhiman (2014), Guzman & Santaella (2009), and Parwati (2014) were used as an approach to developing a new TSS algorithm (AlgoNew), resulting in the Parwati model as the best model (MAPE = 3.889%, RMSE = 0.386 and R2 = 0.816). The result of AlgoNew model development is , where the MAPE is 3.315%, RMSE = 0.332 and R2 = 0.845. The analysis results show that AlgoNew has smaller errors, is more valid, has stronger correlations, and its implications are more representative and feasible to apply compared to Parwati's algorithm (2014).