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Implementation of Spatial Data Infrastructure in Cianjur District for Disaster Risk Management Purposes
Kharisma I.a, Sagala S.b
a Spatial System Center, Resilience Development Initiative, Bandung, 40135, Indonesia
b School of Architecture, Planning and Policy Development, Institute of Technology Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© Published under licence by IOP Publishing Ltd.According to the Indonesia Disaster Risk Index, one of the most prone districts to disaster in Indonesia is Cianjur District. The district is exposed to floods, landslides, droughts and geological hazards, such as tsunamis, earthquakes and volcanic eruptions. Using the existing data that the district currently has, this study aims to explore more deeply about disaster risk management in Cianjur District, and to know whether Spatial Data Infrastructure (SDI) can be implemented to make disaster risk management better. Commonly used definition of SDI, it is said that SDI is data infrastructure implementing a framework of geographic data, metadata, users and tools that are interactively connected in order to use spatial data in an efficient and flexible way, that is »the technology, policies, standards, human resources, and related activities necessary to acquire, process, distribute, use, maintain, and preserve spatial data. Therefore, this study aims to assess to what extent such framework has been used and can be improved given the characteristics of Cianjur District. This study selects flood data in Cianjur as the case study. The methods used are identifying flood vulnerable area in Cianjur by processing data from Development and Planning Agency of West Java Province, then comparing the results with current data of flood vulnerable area owned by BPBD Cianjur, disaster occurrences in the past and the business model of BPBD as well as coordination with other stakeholders, such as Social Agency and Health Agency.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Business modeling,Data infrastructure,Geographic data,Geological hazards,Risk indices,Spatial data infrastructure,Volcanic eruptions,Vulnerable area[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/145/1/012013[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]