1. The development of disaster risk reduction WEB Platforms in Indonesia – an Overview
Dr. Rahmawati Husein
Assistant Professor, Universitas Muhammadiyah Yogyakarta
Vice Chair, Muhamamdiyah Disaster Management Center

2. Background
Indonesia is located in disaster prone area, can be considered as Laboratory of Disaster, due to its geographical, geological and demographic conditions
Intensity of disasters is increasing and becoming more complex - must use multi-sectoral, multi-disciplinary and multi-stakeholders approach

3. INDONESIA

4. Disasters in Indonesia

8. Objectives DRR WEB-based Platforms
Reducing disaster risk and increasing disaster resilience by safeguarding the lives and property of its people by:
Consolidating hazard information and alerts from various national and international sources
Facilitating information sharing 
Providing natural hazard impact scenarios for better planning, preparedness and response activities
Providing decision support capabilities to disaster managers/decision makers at both national and local levels

9. InaTEWs Tide Gauge Networks: 113 stations
Buoy Networks: 23 buoys along the seas prone to tsunami
GPS Location
Sirens Network: Tower type (18), Pillar Type (11)
Seiscomp: map view, real time trace view, origin locator, event summary view
Decision Support System (DSS): Situation – Observation-Decision- Confirmation perspectives
Dissemination System: Sirens Dissemination, CCTV network, RTSP (Regional Tsunami Advisory Service Provider)

10. DIBI (Indonesian Disaster Data and Information)
This application is built in the cooperation between: BAPPENAS, BNPB, DEPDAGRI, UNDP and DFID
It is developed by LA RED, a network of social studies in the prevention of disasters in Latin America. LA RED is a non-profit organization with 12 years of activity which most operations in Latin America, the Caribbean and now in Asia and Africa.
DiBi was launched on July 29, 2008
DiBi is intended to enhance to provide data and information related to hazard events

11. Dibi Indonesia – dibi.bnpb.or.id

14. InaTEWS Monitoring & Information Dissemination

15. InaTEWS: Upstream -- Mainstream

16. InAWARE
InAWARE is a disaster management tool that provides hazard monitoring, disaster early warning, and decision support capabilities to disaster managers in Indonesia at both national and provincial levels – pilot project: Jakarta and East Java
The program also focus on the enhancement of crowdsourced data derived by the PetaBencana (Disaster Map) tool and the collection of key disaster management planning and response data.
InAWARE is based on the Pacific Disaster Center’s (PDC) DisasterAWARE platform. It is a collaboration between The Humanitarian OpenStreetMap Team (HOT), USAID, Office of U.S. Foreign Disaster Assistance (OFDA), PDC, the University of Hawaii and the Massachusetts Institute of Technology (MIT)

17. Step
The development of a comprehensive geospatial base data for disaster risk including administrative boundaries, building footprints, road networks, and disaster vulnerability characteristics
The building footprints and road networks will initially be mapped remotely with the use of the HOT Tasking Manager and up-to-date satellite imagery, which will then be supported by collecting associated attribute data out in the field with the use of the OpenMapKit application.
Once the information is mapped by the Data Entry specialists, it will be reviewed and validated by a team of dedicated Data Quality specialists.

18. InAWARE

19. InaSAFE
A free software that produces realistic natural hazard impact scenarios for better planning, preparedness and response activities.
It provides a simple but rigorous way to combine data from scientists, local governments and communities to provide insights into the likely impacts of future disaster events.
InaSAFE is free software that was developed jointly by Indonesia (BNPB), Australia (Australian Government) and the World Bank (GFDRR).
InaSAFE is a Free and Open Source Software (FOSS) project, published under the GPL V3 license. Right now InaSAFE has released InaSafe 3.5.
As it is open source, user may freely download, share and modify the software.

20. Scenario Example: Preparing Response Plan for Flooding – Emergency actors need to answer, such as:
How large is the area that is submerged?
Any places that are likely to be affected?
How many people need to be evacuated and need protection?
How many schools will be closed?
How many hospitals are still able to receive patients?
How many basic needs, such as food, clothing, medicine, sanitation and so necessary? Etc.
Data from various sources such as existing data from various ministries, agencies, universities, local government, and society are combined and used. InaSAFE also can use open source data is already available on the internet, but there are still many areas that are not available data. To overcome this problem, the team InaSAFE invite the cooperation with the local university, local government and other relevant agencies to create the map each area.

21. Inasafe

22. InaRisk
InaRisk is an Indonesia risk assessment and monitoring web-based platform on disaster risk index
It is supported by UNDP. The objective is to mainstream DRR in the National Development Plan through National Action Plan for DRR.
Local government may use the risk assessment to reduce their disaster risk index through their local development plan (short term, medium term and long term plan)

24. Disaster Channel
Disasterchannel.co is as a disaster portal in Indonesia. This portal is initiated by DRR National Platform, TEMPO (News Private company), and the Agency for the Assessment and Application of Technology (BPPT).
The objective: To build a knowledge management center for mainstreaming DRR and to reduce any impact of disasters in Indonesia particularly. It shares disaster information particularly on DRR activities particularly at the national and local level

25. Disaster Channel

26. Significant Components
The Web –Jalin Merapi
Significant Components
Share values
Community radio stations
800 volunteers
Coordinated efforts
Mobile infrastructures, connectivity and social media

27. Challenges
Local capacities and capabilities  lack of skill and resources
Social and cultural issues  technology awareness
Coordination  sectoral approach
False warning: 22 (Tsunami, landslide, eruption)