The Comparison of Spatial Models in Peak Ground Acceleration (PGA) Study

Ihsan, Haikal Muhammad; Astari, Annisa Joviani; Bratanegara, Alnidi Safarach; Aliyan, Silmi Afina; Wulandari, Ervika Putri

doi:10.52939/ijg.v17i6.2061

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…The earthquake hazard zoning map variable uses the following indicators: administrative boundaries, Lembang fault, land use, rock types, soil types, earthquake intensity, earthquake acceleration, slope and population density. Earthquake hazard mapping using the AHP method is largely determined by the weighting classification of each indicator (Ihsan et al 2021 ; Serlia, Cahyono & Handayani 2021 ). The weighting classification consists of Peak Ground Acceleration (PGA) data which are the cause of damage to the surface in the area identified as earthquake-affected based on the Center for Volcanology and Geological Hazard Mitigation, Indonesia.…”

Section: Methodsmentioning

confidence: 99%

Preparedness of the community in facing disasters like earthquakes (Case: Cisarua, Indonesia)

Pamungkas

Aliyan

Nurfalah

et al. 2023

Jàmbá Journal of Disaster Risk Studies

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The potential for disaster in an area is based on the geographical characteristics of a place and the living factors of the surrounding community. Community preparedness must be implemented to minimise the impact of an earthquake. This study aimed to determine the level of community preparedness in facing earthquakes in Cisarua District, Indonesia, based on the results of earthquake hazard mapping. The research used the quantitative Analytical Hierarchy Process (AHP) for earthquake hazard mapping and disaster preparedness using questionnaires. The AHP parameters include earthquake acceleration, distance from the Lembang fault, rock type, soil type, land use, slope and population density. The sample for this study comprised 80 respondents from six villages with a relatively high level of vulnerability, namely the villages of Jambupida, Padaasih, Pasirhalang, Pasirlangu, Kertawangi and Tugumukti. Data collection was carried out through interviews and site surveys based on a questionnaire consisting of variables like knowledge and attitudes, policies, emergency response plans, disaster warning systems and resource mobilisation with a total of 80 respondents. The study results concluded that community preparedness was included in the unprepared category with a total score of 211. Aspects of kinship and kinship relations between residents greatly influenced community preparedness, and knowledge and attitudes were considered sufficient with a weight of 4.4. Increased public awareness of the potential for earthquake disasters must routinely be carried out through disaster emergency response outreach and training activities in addition to improving residents’ emergency response facilities.Contribution: The study findings highlight the village community’s earthquake disaster preparedness with the support of integrated spatial mapping of disaster vulnerability. The lack of awareness of the village community in earthquake disaster mitigation increases the level of disaster risk in their area.

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Section: Methodsmentioning

confidence: 99%

Preparedness of the community in facing disasters like earthquakes (Case: Cisarua, Indonesia)

Pamungkas

Aliyan

Nurfalah

et al. 2023

Jàmbá Journal of Disaster Risk Studies

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“…IDW is one of the spatial approaches to describe the rainfall distribution that usually possesses a good accuracy, yet, the results depend on the quality of the rain data and posts (Chen & Liu, 2012). IDW is a spatial approach with a high correlation compared to other spatial algorithms (Ihsan et al, 2021). The rainfall used had four rain posts ranging from 2004 to 2021.…”

Section: Rainfallmentioning

confidence: 99%

The Use of Geographic Information System (Gis) and Remote Sensing (Rs) for Potential Unconfined Groundwater in Structural and Volcano Landform

Ihsan

Arrasyid

Darsiharjo

et al. 2023

Geodesy and Cartography

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The Northern Bandung area covers two landforms, namely volcano and structural landforms. Unconfined groundwater has become the water source for local people’s daily needs in both landforms. It is necessary to map the potential unconfined groundwater for both volcano and structural landforms due to the significant role of springs for the local people living in those areas. This research aims to map the unconfined groundwater on the volcano and structural landforms. This study employed the approaches of Analytical Hierarchy Process (AHP), Geographic Information System (GIS), and Remote Sensing (RS) using the variables of lineament density, rainfall, slope, and Topographic Wetness Index (TWI), hydrogeology, drainage density, and land use. The result shows that each variable has the Consistency Ratio (CR) below 0,1, resulting in consistent research variables and appropriate for discussion. The classification of the potential groundwater is divided into three categories: low, medium, and high. The survey validation finds that 147 springs spread at 86 high lands, 55 medium lands, and six lowlands. This model can be an alternative to map the potential unconfined groundwater in both volcano and structural areas.

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The Comparison of Spatial Models in Peak Ground Acceleration (PGA) Study

Cited by 2 publications

References 17 publications

Preparedness of the community in facing disasters like earthquakes (Case: Cisarua, Indonesia)

Preparedness of the community in facing disasters like earthquakes (Case: Cisarua, Indonesia)

The Use of Geographic Information System (Gis) and Remote Sensing (Rs) for Potential Unconfined Groundwater in Structural and Volcano Landform

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