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Modeling unpredictable data and moving object in disaster management information system based on spatio-temporal data model
Laksmiwati H.a, Widyani Y.a, Hafidhoh N.a, Yusuf A.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, 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]© 2014 IEEE.On a workshop to improve the compilation of reliable data on disaster occurrence and impact in April 2006, the National Agency for Disaster Management (BNPB) has raised the challenge of Indonesia Disaster Management Information system. It is stated that Indonesia needs to develop effective Disaster Management Information System (DIMaS) to cope with geographical situation (archipelago country) together with time frequency and variety of disaster. In 2009, a generic disaster data model has been defined to handle several simple types of disaster data. Then in 2012, the disaster data model based on the spatio-temporal aspect is extended to handle natural and non-natural disaster data. These disaster data is limited only to the disaster data which can be predicted. The research that has conducted in 2014, aim to contribute more significance on spatial and temporal aspects of disaster management information systems. In theoretical and conceptual levels, this research is expected to fill the gap of any kind of disaster data representation including predictable and unpredictable disaster data. This paper presents two important aspects. First, a general architecture of spatio-temporal unpredictable data processing system in DIMaS is proposed. Second, the spatio-temporal data model which supports unpredictable data and moving object handling in DIMaS, is developed.[/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]Data processing systems,Disaster management informations,General architectures,Moving objects,Natural disasters,Spatio temporal,Spatio-temporal data modeling,unpredictable[/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]moving object,natural disaster data,spatio-temporal,unpredictable[/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/10.1109/ICODSE.2014.7062662[/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]