Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.

Research Article

The Prototype Of The Flood Disaster Early Detection System and Its Security

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2297682,
        author={Wahyu  Susilo and Edi  Mulyana and Lia  Kamelia},
        title={The Prototype Of The Flood Disaster Early Detection System and Its Security },
        proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.},
        publisher={EAI},
        proceedings_a={ICONISTECH},
        year={2021},
        month={1},
        keywords={flood detection pir safety system ultrasonic},
        doi={10.4108/eai.11-7-2019.2297682}
    }
    
  • Wahyu Susilo
    Edi Mulyana
    Lia Kamelia
    Year: 2021
    The Prototype Of The Flood Disaster Early Detection System and Its Security
    ICONISTECH
    EAI
    DOI: 10.4108/eai.11-7-2019.2297682
Wahyu Susilo1,*, Edi Mulyana1, Lia Kamelia1
  • 1: Electrical Engineering Department, UIN Sunan Gunung Djati Bandung
*Contact email: whysusilo11@gmail.com

Abstract

Warning early detection of flood hazards and safety systems are needed to minimize losses of property and people. This study aims to design the building of an early flood detection system in a dam based on the water level in the dam and be integrated with its security system so that no one steals the system installed in the dam area. In this study two sensors are used, namely ultrasonic sensors to detect water levels and passive infrared (PIR) sensors as a safety detection system using Arduino Uno microcontroller. Measurement of water level based on the status of "standby (Siaga)" at Katulampa dam on a scale of 1:10. The test results at a water level of 6-23 cm have an average difference of 0.992% compared with water level information displayed via the LCD. The standby status sent via SMS to the user phone. PIR sensor test results on the maximum distance at 2.5 m. If the status in the system is “Siaga“, the system will call the registered user by phones. Based on the test results, the flood detection system and its security system were successfully implemented according to the initial scenario.