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Use of disaster loss databases in the country Indonesia case

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Presentation on theme: "Use of disaster loss databases in the country Indonesia case"— Presentation transcript:

1 Use of disaster loss databases in the country Indonesia case
IAP Meeting, Pattaya – Thailand, 07 September 2011 Use of disaster loss databases in the country Indonesia case Presented by Kristanto Sinandang Crisis Prevention and Recovery Unit, UNDP Indonesia

2 http://www.bnpb.go.id http://dibi.bnpb.go.id
All of information and DIBI can access through BNPB website Disaster data was provided since 1815 until 2011, both spatial and statistical data. On average about 50 thousand visitors every month who access this website.

3 Indonesia Maritime Continent
Country Context 17,504 islands (1st in the world) 81,000 km long coastline (2nd in the world) Population 237 million people (4th in the world) Mega Biodiversity (10% plants, 12% of mammals, 16% of reptiles, 15% fish,17% of bird in the world live in Indonesia) – 3rd in the world 13% or 129 active volcanoes in the world (1st in the world) Indonesia Maritime Continent Indonesia is big country. Indonesia as Maritime Continent country. We have islands, 81 thousand kilo meters long coastline, 237 million people, and mega biodiversity.

4 Disasters in Indonesia, Years 2000-2010
Disaster occurrences increased significantly. 70% hydro-meteorological disasters future outlook: increasing with global climate change & environmental degradation. 2.197 1.835 1.301 888 814 896 Base on disasters data, disasters event increased significantly from Trend disasters will increase in future with increasing global climate change and environmental degradation. 692 533 190 122 82

5 Data spread in many institutions but now aligned with BNPB’s data
TNI In Indonesia, the disaster data spread across many institutions, both international, regional, national and local institutions. All actors have a data disaster according to their needs. Often the data is different and difficult to access. This makes it difficult in the preparation of a standard data disaster. But today all agree that the raw data disaster is the data released BNPB. BAPPENAS ......the others....

6 The Making of DIBI 2005: use of Desiventar by UNDP APRC for tsunami affecteed countries 2006: UNDP advocated for Desinventar technology Pre- BNPB authorities felt lacking operational mandate to takeover the ownership of the DesInventar historical data Uncertain on impending legal reform and impact on mandates 2007: With DM Law 24/2007, the nodal agency has clear mandate to collect and analyse information on occurrences and impacts of disasters Communication Forum for Data and Information established Desinventar software presented to Government 2008 : 28 July 2008: DIBI was launched by BNPB signifying the adoption of Desinventar – present : Update data, DIBI development in 10 initial provinces, training, analysis DesInventar was started since Bakornas PB. BNPB formed in Originally DIBI formation is not something easy because of the egos of the various sectoral institutions. In, July, launching DIBI is an adoption of "DesInventar" and have been adjusted with the data need or the availability in BNPB.

7 Data Collection & Entry Process
Disaster data <1997: government reports, mass media, internet, government agencies, universities, etc. Since 1997: government reports and media (but verified by govt) Since 2009: disaster data at sub-district/village level collected, verified, validated by District before being reported to Province and then sent to BNPB. Standard form for data record as determined by government. Data entry can be uploaded directly to Provincial DIBI Province with no provincial DIBI send data to BNPB Districts can input directly but need endorsement from province BNPB will enter data to National DIBI.

8 The Mechanism of Managing Disaster Data at national level
BPBD Media Process Centre Verification & validation for region Verification & validation with the related institution President Report Data, Information and Public Relations Center In the mechanisme of managing disaster data, the data received in the Operation and Control Center and then made ​​daily reports. The data verification and validation before being used for different applications. For example to report to the President, the preparation of the book, DIBI applications and so on. Special report Disaster data book Control & command Centre in time of disaster inputs to DIBI Highly frequent report

9 DIBI within the Organization Structure of BNPB
PRESIDENT RI DIBI Head of BNPB Internal Auditor Prime Secretary Centre of Data Information & PR Centre of Education & Training Deputy for Prevention & Preparedness Deputy for Emergency Respon Deputy for Rehabilitation & Reconstruction Deputy for Logistics & Equipments Organizationally, DIBI is managed under the control by Centre of Data Information and Public Relation BNPB. The center is directly responsible to the Chief of BNPB. In a normal condition or not there is a disaster, every month to report to the President. When a major disaster at any time can report the development of disaster management to the president by making use of existing data DIBI. Director Director Director Director Director Director Director Director Director Director Director Director Other Staff 9

10 The anatomy of Disaster Data and Information
BNPB Provincial BPBD District/City BPBD smallest data unit : district/city data functions: for national coordination, general policy, guidelines, and foreign cooperation dominant data type : secondary data Data Detai l National smallest data unit : sub district data functions: to coordinate with the province, making guidelines, specific policy and cooperation in province level dominant data type: secondary data smallest data unit : village data functions: controlling and managing disaster management operation dominant data type: primary data

11 Application and Usages of DIBI
National Level: National risk maps and history disaster risk index Contribute to GAR 2011 Reference for National DM Plan and National Action Plan for DRR Disaster-prone area index, which in turn to advise which districts ought to establish local DM agencies to guide Ministry of Finance to allocate Special DM Allocation Fund for Districts/Cities with certain index level Link up with other national programmes of the National Rural Community Empowerment Programme, School and Hospital Safer Programme; Rice Subsidy for the Poor Programme; and Social Security for Vulnerable Senior Citizens Programme Provincial Level: Provincial risk map Provincial disasters profile Reference for Provincial Disaster Management Plan and Action Plan for Disaster Risk Reduction.

12 Lessons Learned Strong leadership and ownership of the database by BNPB; Importance of assessment of risk accorded by the government; Using levels of risk as the basis for advocating districts/cities to establish BPBD and the allocation of DM funds; 10 provinces started provincial DIBIs. More to join; and Participants in training for systems such as DIBI require time for reflection and digestion between training sessions. Other lessons learned can be viewed in

13 THANK YOU


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