Analysis of Ciliwung river flood debit and city flood anticipation using floods early detection system (FEDS)

Abstract

This research is based on flood conditions that often occur in lowland areas such as Jakarta and Semarang. The problem faced is that the notification and early detection of floods is often late, done manually so that it cannot be anticipated by areas downstream of the river. Therefore, it is very important to be able to develop an IoT-based early warning tool so that floods can be detected early in a fast, real time, and immediately anticipated in the upstream area of the river. This research method uses design methods and experiments carried out in the field and laboratory. This research will present a prototype of the FEDS (Floods Early Detection System), based on the Blynk application. The results showed that the calculation of planned flood discharge with a return period of 2, 5, 10, 25 and 50 years can provide an overview of the ability of an area to face the maximum possible rainfall. The FEDS prototype tool, with the Blynk application, can work well using a microcontroller, ultra sonic sensor, and a rainfall sensor. This system is suitable for use in the community to determine rain conditions and water level conditions used at river water level conditions, for early notification of floods.