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All Journal PENDIPA Journal of Science Education Indonesian Review of Physics (IRiP)
Afriyanto, Mulya
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Astronomy Chemistry Earth & Planetary Sciences Education Materials Science & Nanotechnology Mathematics

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Estimation of Flores Sea Aftershock Rupture Data Based on AI Jufriansah, Adi; Khusnani, Azmi; Pramudya, Yudhiakto; Afriyanto, Mulya
Indonesian Review of Physics Vol. 6 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v6i1.6705

Abstract

The earthquake catalog notes that there have been earthquakes with Mw > 7 that hit the Flores area, three of which occurred in the Flores Sea in 1992, 2015, and 2021. Revealed that the seismic activity of Eastern Indonesia is thought to be influenced by the isolated thrust fault segment of the island of Flores and the island of Wetar. The study of the rising fault segment on Flores Island and Wetar Island helps in further understanding the fault behavior, earthquake pattern, and seismic risk in the Flores Sea region. In earthquakes with giant magneto, an aftershock can occur due to the interaction of ground movements. This research analyzes and compares the data from the evaluation of the classification algorithm and the regression algorithm. The initial stages of this research include requesting IRIS DMC Web Service data. The data is then subjected to a cleaning process to obtain the expected feature extraction. The next stage is to perform the clustering process. This stage is carried out to label dependent data by adding new features as data clusters. The following procedure divides the validation value, which consists of training and test data. The estimation results show that the classification algorithm's evaluation value is better than that of the regression algorithm. The evaluation value of several algorithms indicates this, with an accuracy rate between 80% and 100%.
Utilization of Seismic Data as a Tsunami Vulnerability Review Khusnani, Azmi; Jufriansah, Adi; Afriyanto, Mulya
Indonesian Review of Physics Vol. 5 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/irip.v5i2.6706

Abstract

This study aimed to analyze seismic data, which is then made into an infographic to map the level of tsunami hazard in the Sikka District. The research was carried out in Sikka District, East Nusa Tenggara, located between 121°55'40''-122°41'30'' east longitude and 08°22'-08°50' south latitude. The data source comes from the IRIS Earthquake Browser, and the analysis stage was carried out in two phases. The first analysis used seismic data analysis, and EQ Energy used IRIS (Incorporated Research Institutions for Seismology) data. Meanwhile, the second analysis maps the tsunami risk by determining the tsunami hazard in areas with the potential for a tsunami. Based on the analysis of seismicity data showed that Sikka District has the potential for an earthquake accompanied by a tsunami. In contrast, the results of the EQ Energy analysis caused by the December 14, 2021 earthquake were known as the value of Ehf = 6.46 × 1014 J  and EBB = 5.48 × 1015 J. The analysis of the level of tsunami susceptibility based on the tsunami run-up height in Sikka District showed that the northern coastal area of ​​Flores had various potentials, where the highest vulnerability level was in the Alok subdistrict and parts of Talibura. Meanwhile, the area with the lowest potential was the Kewapante subdistrict.
Pemanfaatan Teknologi Satelit untuk Mitigasi Bencana dan Penguatan Resiliensi Nasional terhadap Ancaman Geospasial di Indonesia: Indonesia Afriyanto, Mulya; Supriyadi, Asep Adang; Arief, Syachrul; Waluyo, Dangan
PendIPA Journal of Science Education Vol 9 No 3 (2025): October
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.9.3.866-877

Abstract

Indonesia is one of the countries with the highest level of geospatial disaster risk due to its position on the Pacific Ring of Fire and its exposure to earthquakes, tsunamis, volcanic eruptions, floods, and landslides. The increasing complexity and frequency of disasters, exacerbated by climate change, demands a faster, more accurate, and integrated monitoring system. However, previous studies have focused more on the technical aspects of disaster monitoring without comprehensively examining the strategic role of satellite technology in strengthening Indonesia's national resilience. This gap is the basis for this study. This study aims to analyze the contribution of satellite technology in disaster mitigation and assess how satellite data integration can strengthen national resilience to geospatial threats. The method used is a systematic literature review of reputable international publications from 2014 to 2025 that discuss remote sensing technology, InSAR, damage mapping, early warning systems, and geospatial integration for disaster risk management. The results of the study show that satellite technology plays an important role in three main aspects: (1) real-time disaster monitoring through multisensor data capable of covering a wide area; (2) improving the accuracy of early warning systems for various geospatial disasters; and (3) strengthening national resilience through support for damage mapping, rapid response, strategic decision-making, and inter-agency coordination. The novelty of this research lies in the development of an integrative synthesis that links the use of satellite data with Indonesia's national resilience framework, as well as the affirmation of the need to integrate satellite technology into national disaster management policies. These findings have important implications for strengthening modern mitigation systems and adapting to the escalation of geospatial risks in the future.
Co-Authors Adi Jufriansah Arief, Syachrul Azmi Khusnani Supriyadi, Asep Adang Waluyo, Dangan Yudhiakto Pramudya