Implementing IoT and Machine Learning for Disaster Mitigation

This prototype output research has the aim of creating a dashboard that is used to
monitor river water levels. The dashboard created will display data in real-time and prediction
results. The use of the dashboard is to minimize the risk in the event of flooding caused by
river overflow. The way this prototype works is to take data from sensors that have been
installed at several points. The recorded data will be stored in a database using the working
principles of the Internet of Things. For predictions, machine learning is used to produce future
river water level figures. The machine learning used is using time series regression with rainfall
input and river water level output. Long-term output data is needed, therefore to forecast future
rainfall the Hybrid method is used. Data generated from sensors as well as from prediction
results are stored in one database. From the database, data visualization is displayed along with
important figures used for river overflow intelligence. Therefore, the dashboard is very useful
for people living around the river flow.