DocumentCode
3762333
Title
Risk-level assessment system on Bengawan Solo River basin flood prone areas using analytic hierarchy process and natural breaks: Study case: East Java
Author
Haris Rahadianto;Arna Fariza;Jauari Akhmad Nur Hasim
Author_Institution
Department of Informatics and Computer Engineering, Electronics Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia
fYear
2015
Firstpage
195
Lastpage
200
Abstract
Indonesia has the geographical conditions which are particularly vulnerable to disasters, especially floods and climate change. Throughout Indonesia, it is recorded that there are 5,590 main rivers and 600 rivers have the potential to cause flooding among others. One of it is Bengawan Solo River, which is the longest river in Java. The floods that hit the area have resulted in disruption of public health, disrupted economic activity, and damaged urban infrastructure. The phenomenon of floods and their negative impacts in the area of the Bengawan Solo river banks, indicating a condition of the area and the public about the lack of understanding of the characteristics of the hazards, behaviours that lead to degradation of natural resources, and lack of early warning that causes unpreparedness and inability in the face of danger. The purpose of this project is to be able to create an information system that can provide an assessment of the risk management in the Bengawan Solo´s flood prone areas that passed in the province of East Java, by building a web-based information system that includes information on threats, vulnerabilities, and capacities, summarized in the disaster risks analysis that integrated with Geographic Information System to provide mapping areas that have high levels of risk in accordance. Based on the factors that are already said above and calculated by Analytical Hierarchy Process, the result of this project is a map with marked regions divided into three levels of risk like High, Medium, and Low using Natural Breaks to divide it. It also, by providing the risk-level for the regions, help the system to assess how much impact and damage that will be hit the risky area and give the recommendation to government and people how to increase the preparedness so it can reduce the damage from flood.
Keywords
"Rivers","Floods","Java","Economics","Risk management","Software engineering"
Publisher
ieee
Conference_Titel
Data and Software Engineering (ICoDSE), 2015 International Conference on
Print_ISBN
978-1-4673-8428-5
Type
conf
DOI
10.1109/ICODSE.2015.7436997
Filename
7436997
Link To Document