Heltec Wifi LoRa 32 V2 Flood Stream Area Early Detection Technology

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Feby Amanda S. Samsugi Styawati Styawati

Abstract

The goal of this research is to develop a LoRa (Long Range) technology-based early flood detection tool. The instrument designed features to track and identify possible flooding at Indonesian Teknokrat University, Bandar Lampung, and Kalibalau. The Heltec Wifi LoRa 32 V2 microcontroller was connected to an ultrasonic sensor installed to monitor the water level of the Kalibalau River as part of this study technique. River conditions can be categorized into four statuses using this tool: Danger (water level > 143 cm), Alert 1 (water level 64-119 cm), Alert 2 (water level 120-142 cm), and Safe (water level 14-63 cm). The output, which takes the form of a buzzer, will be on constantly in the Danger status; it will be on for one minute in the Alert 1 status; it will be on twice for one minute in the Alert 2 status; and it will not be on in the Safe position. Based on the test findings, it can be concluded that the LoRa sending and receiving devices perform as intended and have communication capabilities up to 400 meters away. This tool is useful for keeping an eye on the Kalibalau River's health and for alerting users in the event that a possible flood hazard is identified. By developing flood monitoring technologies, this research helps improve public safety and awareness in flood-prone areas.

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