Development of automated weather observing system category i for aviation meteorological services based on internet of things

Weather is one of the significant aspects that have a major role in aviation safety operations. This research aims to develop an Automated Weather Observing System Category I based on the Internet of Things to support aviation meteorological information services. The system is designed using the HMP155 temperature and humidity sensor, PTB110 air pressure sensor, and RMY03002 anemometer. Data observed from the sensor is processed by CR1000 datalogger and sent to the server with the NodeMCU ESP8266 module using the MQTT protocol. The system will process data from sensors into a meteorological report in the form of a METAR code. Data sent to the server can be accessed through the website and MQTT dashboard. The temperature sensor calibration correction result is 0.15°C. The correction value resulting from humidity sensor calibration is 1.9%. The air pressure sensor has a correction of-0.1 mb. The wind speed has the largest correction value of-0.31 m/s, while the wind direction is 0.2 degrees at the set point of 270 degrees. Delay analysis shows the value of 0.32678949 ms which is included in the good category with a throughput of 1416.428835 bytes/sec. The results of this study indicate the system can be implemented to provide actual information on aviation based on the Internet of Things.