INTERACTIVE DASHBOARD OF FLOOD PATTERNS USING CLUSTERING ALGORITHMS

Floods are the most common natural disaster and the leading cause of natural disaster mortality worldwide. Flooding has many impacts. It damages property and endangers the lives of humans and other species. Indonesian Disaster Data and Information in 2018 showed that the disaster that often occurs in Indonesia is flooding disaster. Flood control will become an ever-increasing issue in many countries. This research explored the flood patterns and found the potential area of the flood that revealed in the interactive dashboard in the rivers of Tangerang, Indonesia. Tangerang has three rivers which are Angke, Pesanggrahan, and Cisadane. This research used three variables which are water level, river, and stations. This paper used three clustering methods: K-medoids, DBSCAN, and X-Means to analyze possible water level rises patterns in Tangerang and the results are visualized in the form of the interactive dashboard that is simple and easy to use for non-technical users