Indonesia is a laboratory of disaster. We acknowledge that every year Indonesia experiences different types of disasters, such as hydrometeorological and geological disaster. Data on disasters tends to increase every year. It is not apart from some factors such as environmental degradation, looping cycle of geological phenomena, climate change and increasing population.
In a context of prevention and preparedness, disaster data requires for different kind of needs such as drafting risk map or disaster risk index. This disaster data in Indonesia is able to be accessed on this following link http://dibi.bnpb.go.id/dibi/ or http://bnpb.cloud/dibi/.
DIBI or Indonesia Disaster Data and Information is a system of disaster historical database that shows disaster data occurred in Indonesia since 1815 until present. This website shows detailed disaster data such as historical disaster data, figure of disaster victim and injured, or damages based on different disaster. Besides, we are able to download and print every layer with different types such as JPG, PNG, PDF or SVG.
DIBI displays some boxes on the dashboard such as distribution of disaster occurrence, trend of disasters, number of disasters and updated data on disaster. These boxes display the dynamic data that is updated by an administrator or user. The user can immediately make comparison on hydrometeorological disaster such as flood and landslide within certain period, an example in the last 10 years. The comparison of year starts since 2002.
Meanwhile, in the box of distribution of disaster, we can look the distribution of disasters occurrence in every province in the current year. This part is very interesting to know because we can see spatially about province and number of disasters. Unfortunately, spatial display does not work up to regency or municipality. On the other side, some errors are still met when we input in some categories. Hopefully, in the future the web can be improved. If you find any data that seems to be invalid, you can go to the Disaster Statistics menu on the left.
In the top table on the homepage, some of the accumulative data highlights in the current year are shown as number of incidents, casualties, damaged houses, and public facilities. The data in the table will be updated by the administrator.
In the top left side menu, you can see some icons like Home, Disaster Statistics, Supporting Data, and Documents. Disaster statistics will show detail data that can be inputted by the user. First, we can enter the administrative level (province, district, and city), then time of the event or time period, then data category (type of disaster, number of incidents, casualties, damaged houses, public facilities damaged). In addition to statistical data, you can get it in the form of a graphics.
One thing that can be accessed on the DIBI is the Disaster Identification Code (KIB). You can search this KIB on the Home menu, which is the Disaster List. On this disaster list, the data provided is very dynamic because it provides data on the development of a disaster event. KIB is needed to provide the same perception when we discuss a disaster that refers to the same disaster, such as the occurrence of the earthquake of Aceh with magnitude 6.5 which occurred in 2016 ago, there are two phrases used are the earthquake of Aceh and Pidie Jaya earthquake. Through this KIB we can identify the available data in accordance with the data that is needed. KIB refers to provincial code, district code, disaster type, year, month, date and disaster event index.
This DIBI was a development of the earlier DIBI as an adoption of the DesInventar methodology. This methodology refers to a low-cost system used by countries in Latin America to systematically record time, place and disaster impacts according to events. Previously, DIBI has been used for several purposes, such as the preparation of disaster-prone index maps, risk map proxy indicators, determination of special allocation funds related to disaster prone index maps, preparation of national disaster action plans, national policy program support and development or research plans in the academic world.
However, DIBI still needs development and refinement as a database that perfectly provides compositional, spatial and statistical analysis. It looks at the latest DIBI that still has some features that actually in the previous DIBI is very interesting to display.