Dashboard Design of Automatic Weather Station Measurement in Yogyakarta Climatology Station using Node-Red and Grafana

Abstract

The Indonesian Agency for Meteorology Climatology and Geophysics (BMKG) has installed a weather parameter measurement network using a sensor network called the Automatic Weather Station (AWS). The equipment records weather parameters such as air temperature, relative humidity, atmospheric pressure, solar radiation intensity, rainfall, wind speed, and wind direction. At the BMKG regional unit, automatic weather observation systems are not yet fully utilized due to limited network infrastructure and inadequate supporting software. Moreover, local stations lack real-time monitoring tools for equipment conditions, as existing national systems remain general and insufficiently detailed. the AWS measurement display is needed for forecasters to validate extreme weather and climate events. In addition, real-time data is used by technicians as a tool performance check and data quality control. Therefore, the study aims to design an interactive display on AWS to support technicians in monitoring equipment conditions and assist forecasters in reporting extreme weather and climate events as a service to the community. The data visualization display system is designed using the Node-Red and Grafana programming tools connected to the MySQL database management system. The results show that Node-Red can display weather data with one-minute intervals for seven AWS locations in the Special Region of Yogyakarta in the form of graphs and gauges. Meanwhile, Grafana can display weather parameters in the form of gauges and graphs at one point of the Yogyakarta Special Region Climatology Station.