Abstract
The high rainfall that has poured into the city of Padang has made the Mount Nago dam to overflow and resulted in flash floods. Observation of weather and water level of the dam is very important to do to estimate the possibility of the occurrence of a flash flood. This study aims to build an early warning system by utilizing Raspberry Pi as a control center. Environmental weather reading with temperature, humidity and wind speed parameters is carried out by Automatic Weather System (AWS) which uses DHT11 sensor and cup propeller. Weather reading data is processed using fuzzy logic to get the categories of ‘sunny’, ‘cloudy’ weather, ‘light rain’ and ‘heavy rain’. The weather category and the water level of the dam which are read through the ultrasonic sensor are reprocessed to get ‘safe’, ‘standby’, ‘warning’ and ‘danger (flash flood) information. The results show that AWS works well, which is 80%, and the flash flood early warning system can work, with a success rate of 70%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
