Prediction of wind disaster using kriging spatial interpolation and internet of things

The Indonesian Disaster Management Agency (BNPB, Badan Penanggulangan Bencana) estimates that wind dissaster are increasing in some parts of Indonesia. The occurrence of wind dissaster can not be predicted, when and where they occur, because the cause of natural factors, namely differences in pressu...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-09, Vol.620 (1), p.12098
Main Authors: Kodong, Frans Richard, Fajar, Juwairiah
Format: Article
Language:English
Subjects:
Cellular communication
Communications systems
Disaster management
Disasters
Human factors
Impact damage
Internet of Things
Land use
Life cycle assessment
Microcontrollers
Seasonal variations
Systems development
Tornadoes
Wind damage
Wind speed
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Summary:The Indonesian Disaster Management Agency (BNPB, Badan Penanggulangan Bencana) estimates that wind dissaster are increasing in some parts of Indonesia. The occurrence of wind dissaster can not be predicted, when and where they occur, because the cause of natural factors, namely differences in pressure. Disasters that occur in Indonesia is caused by human factors, namely changes in land use and a way of life that does not pay attention to environmental conservation. Public preparedness in the face of the possibility of disaster increases, when disaster occurs they immediately evacuate themselves to a safer place. Therefore it is necessary socialization and understanding to the community against the possibility of disaster, another thing to think about is preparing early warning facilities and infrastructure. Yogyakarta is one of the areas that must be wary of the threat of a tornado, especially when there will be seasonal changes. The damage caused by the wind disaster is increasing, indicating that wind speed plays an important role in relation to the impact of damage caused. In this research methodology of system development that will be used is System Development Life Cycle (SDLC). For estimation of direction and wind speed will be used Kriging Spatial Interpolation Method. The IoT technology used consists of an anemometer and a microcontroller device and GSM (Global System for Mobile Communications) to obtain or capture real-time data of wind speed and direction sent over the internet to the server.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/620/1/012098