TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 16, No 5: October 2018

Design of Flood Warning System Based IoT and Water Characteristics

Herman Yuliandoko (State Polytechnic of Banyuwangi)
Subono Subono (State Polytechnic of Banyuwangi)
Vivien Arief Wardhani (State Polytechnic of Banyuwangi)
Sholeh Hadi Pramono (State Polytechnic of Banyuwangi)
Ponco Suwindarto (State Polytechnic of Banyuwangi)



Article Info

Publish Date
01 Oct 2018

Abstract

Indonesia is one of the tropical country with high rainfall. It causes a flood disaster that with the loss of property and life. Currently handling flood disasters in developing countries are still using many conventional ways. By using conventional way the flood early warning system is still not able to reach the wider community so that information too late of impending disaster received by the public. Besides that the speed of information is needed in the handling of disasters. Therefore a rapid flood warning system that can reach a wide area such as the internet is necessary to minimize the effects of disasters. IoT (Internet of Thing) is smart technology which has capability to send data in real time, connected to the smart phone, sensor and web service. This ability can be used for smart application to control and manage an early warning system. In this research we also use IoT technology to monitor and control the early detection system of flood disaster. By using IoT technology, sensor data can be sent in real time from sensor to smartphone through internet network. The sensor data contains the water characteristics data on the dam that will be processed in the data base. The processing data of water characteristic will be a decision of hazard level. That decision will be sent to users as notification into the user smartphone application. This research will be useful for deeply research on disaster management system and flood early detection system in Indonesia.

Copyrights © 2018






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...