<![CDATA[According to data from Badan Nasional Penanggulangan Bencana, there have been 325 tornado and strong wind disasters throughout 2023. These disasters resulted in 1 death, 6 injuries, 734 people affected, and 80 people displaced. Additionally, 2,263 houses and 45 public facilities were damaged. Therefore, it is important to develop an early warning system to minimize the impact of these disasters. This study aims to design a system that can monitor wind speed and direction based on the Internet of Things (IoT). The wind speed and direction sensors were designed using hall effect sensors with a wind direction sensor resolution of up to 11.25°, a solar power system (PLTS) as the system's power supply, LoRa modules as communication modules, ESP8266 and ESP32 microcontrollers for data processing, Google Spreadsheet for data storage and display to users, and a buzzer to provide hazard warning statuses. The test results show that the wind speed sensor transmitter 1 has averageerror of 1,30%, and transmitter 2 has average error of 1,93%. The wind direction sensors for both transmitter 1 and 2 have a reading range of 10° at 0°, 45°, 90°, 135°, 180°, 225°, 270°, and 315°, while other directions have a reading range of 5°. The effective range between the LoRa transmitter and receiver is less than or equal to 400 meters. The minimum internet data package required to run the device for one month is 1.89 GB. The data was successfully displayed through a website interface using the Google Spreadsheet platform, and the system successfully provided warning and alarm statuses when the wind speed exceeded the specified limit. Index Terms—Early Warning System, Internet of Things, Strong Wind.]]>
