Flood prediction using integrated sensor based on internet of thing and radio frequency as flood risk reduction

Abstract

Flood is disaster often occur in most parts of Indonesia. Besides human factors, regional factors are also main cause. According to the National Board for Disaster Management (BNPB) data, flood-prone areas are Central Java (Bengawan Solo and Pemali River), East Java (Sat Sampean and Bengawan Solo River), Jakarta (Ciliwung, Angke, Pesanggrahan River), Jambi (Batanghari River), West Java (Citarum, Citanduy River). Based on data over past two years, the number of flood events in Indonesia has always exceeded 500 causes. By 2015 775 incidents, 115 dead, 317,683 displaced, and 2016 546 incidents, 75 dead, 105,302 displaced. Based on the data, needed to have a pre-flood warning tool will give notice if the river state has potential to cause flooding when it rains. This background provided us with the idea to create design and prototype of FRESTI (Flood Prediction Using Sensor Integrated based on Internet of Thing and Radio Frequency to Solve Environmental Issue).The early detection function of flooding by FRESTI is achieved by embedding rain sensors, water debit, river slope and water level sensors. The parameters will measure flood potentially and give early warning. FRESTI features a siren will react when receiving data sent using radio frequency. These sirens will be placed close to resident’s settlement as warning alarm. In addition, FRESTI is equipped with monitoring system based internet of things that transmit data from internet which can be accessed by people continuously and real time. In the experiment, FRESTI will be placed in area through which large river flows frequently flooded for data retrieval and conducted cooperation with BNPB. The experimental data is expected to reduce the number of victims died caused by flooding.