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Kajian Indeks Bahaya Seismik Regional Menggunakan Data Seismik Pulau Jawa Tahun 1900-2006 Sulistiyani S; Sorja Koesuma; Nugroho Budi W
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 3, No 01 (2013): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijap.v3i01.1210

Abstract

It has been conducted a research about Regional Seismic Disaster Index (RSDI) in Java Island by using seismic data from 1900 – 2006. RSDI is a index showing vulnerability seismic disaster in an area. The hight risk area is the highest risk, the low area is the lowest risk. The highest RSDI areas were Banten, Jawa Barat, and D.I Yogyakarta Provinces. While the lowest RSDI areas were DKI Jakarta and Jawa Tengah Province. Deviations standard value showed the moving RSDI value each region. Region with big RSDI value had high Seismic level were Banten , Jawa Barat, and D.I. Yogyakarta Province.
PEMETAAN RAWAN BENCANA GEMPABUMI DI SEPANJANG SESAR LASEM BERDASARKAN NILAI PGA Vemirantih, Dini; Maharani, Yohana Nooradika; Sorja Koesuma
Indonesian Journal of Environment and Disaster Vol. 4 No. 2 (2025): Indonesian Journal of Environment and Disaster
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijed.v4i2.2582

Abstract

MAPPING OF EARTHQUAKE DISASTER PROTECTION Along the LASEM FAULT BASED ON PGA VALUES The region traversed by the Lasem Fault has a high potential for earthquake disasters, although no major recurring events have occurred to date. This condition makes the area particularly interesting for study, especially due to the limited amount of research and mitigation efforts based on quantitative data. This study aims to identify and map the seismic hazard levels around the Lasem Fault using the Deterministic Seismic Hazard Analysis (DSHA) approach, which has been widely implemented in earthquake risk assessments for its ability to provide deterministic estimates of Peak Ground Acceleration (PGA). PGA values are calculated at several points based on relevant earthquake source parameters and local site characteristics. The analysis results show a variation of PGA values, which are classified into several seismic hazard levels and then mapped to provide a visual representation of risk distribution. The results of the analysis are then mapped using QGIS and further processed with the InaSAFE plugin to identify public facilities located in vulnerable zones. This study recommends further investigation into the structural response of buildings to the predicted maximum ground shaking, as well as the integration of the findings into spatial planning policies, earthquake-resistant building design, and other mitigation efforts. The outcomes are expected to serve as a basis for informed decision-making in disaster risk reduction in areas affected by the Lasem Fault.