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dc.contributor.authorJumadi, Jumadi
dc.date.accessioned2014-01-23T07:00:06Z
dc.date.available2014-01-23T07:00:06Z
dc.date.issued2013-09-16
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(Document ID: 848873401). Pine, J. C., 2009. Natural hazards analysis : reducing the impact of disasters. Taylor & Francis Group, LLC. Sagala, S. A. H. (2006) Analysis of Flood Physical Vulnerability in Residential Areas; Case Study: Naga City, the Philippines. Thesis. Enschede: ITC. Simpson, A., Cummins, P., Dhu, T., Griffin, J., and Schneider, J. 2008 Assessing natural disaster risk in the Asia-Pacific region. AUSGEO News. Issue, 90 June 2008. Sutikno. 1995. Geomorfologi Konsep dan Terapannya. Gadjah Mada: Yogyakarta. Susetyo, C. (2008) Urban Flood Management in Surabaya City: Anticipating Canges in The Brantas River System. Thesis. Enschede: ITC. Teimouri, M. , Delavar, M.R.,Kolyaiea, S.,Chavoshia, S.H. and Moghaddamc, H. K. (2008) A Sdss-Based Earthquake Damage Assessment For Emergency Response: Case Study in Bam. Proceeding, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B8. Beijing 2008.en_US
dc.identifier.issn978-979-636-152-6
dc.identifier.urihttp://hdl.handle.net/11617/4225
dc.description.abstractThe aim of this research is to develop a web-based GIS on implementation as SDSS for flood hazard management in terms of giving information about the area, slope, land use, soil type, predict flood inundation area, and number of houses and people were evacuated when the floods in the Solo Basin area, so that expected to provide insight into the theoretical and applicative regarding the role of SDSS in flood disaster management. The processes are involved several government institution relate to their specific role and duty in the program. Therefore, the accessibility and interoperability of SDSS is important to convince that flood information is distributed well to all user concerned. Based on the explanation, web-based SDSS seem to be possible solution. The prototype shows that spatial information of risky area can be distributed widely among responsible Agencies trough web-based technology. This finding can be used to provide statistical data as well as spatial extent, distribution, location on other spatial information aspect of risk. Therefore, decision making process in flood disaster risk management can be conducted collaboratively.en_US
dc.publisherLPPM UMSen_US
dc.subjectWeben_US
dc.subjectSpatialen_US
dc.subjectFlooden_US
dc.titleWeb-Based Spatial Decision Support System (SDSS) For Flood Risk Management In Surakarta: A Preliminary Resulten_US
dc.typeArticleen_US


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