A Flood Early Warning System Design Based on Water Level Using Fuzzy Logic and Short Message Service Gateway

Supani, Ahyar; Widodo, Slamet; Agustin, Maria

doi:10.1166/asl.2017.8761

Cited by 5 publications

(1 citation statement)

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“…Meanwhile, the category of minor projects and low cost as presented on [7] developing a system monitoring the water level of river and according to the risk with the level, triggers emergency alerts to the authorities through telephone calls and SMS messages. And it also based on another [8] developing a flood early warning system with informational technology by means of detecting, calculating variables of flood cause (water level and rainfall) automatically, predicting flood and sending flood status data to people via short message service (SMS). SMS information is problematic if the SMS provider is problematic.…”

Section: Introductionmentioning

confidence: 99%

Design of flood early warning system with wifi network based on smartphone

Supani

Andriani

Taqwa

2017

AIP Conference Proceedings

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Design and field test equipment of river water level detection based on ultrasonic sensor and SMS gateway as flood early warning AIP Conference Proceedings 1855, 050003 (2017) Abstract. Today, the development using internet of things enables activities surrounding us to be monitored, controlled, predicted and calculated remotely through connections to the internet network such as monitoring activities of longdistance flood warning with information technology. Applying an information technology in the field of flood early warning has been developed in the world, either connected to internet network or not. The internet network that has been done in this paper is the design of WiFi network to access data of rainfall, water level and flood status at any time with a smartphone coming from flood early warning system. The results obtained when test of data accessing with smartphone are in form of rainfall and water level graphs against time and flood status indicators consisting of 3 flood states: Standby 2, Standby 1 and Flood. It is concluded that data are from flood early warning system has been able to accessed and displayed on smartphone via WiFi network in any time and real time.

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Section: Introductionmentioning

confidence: 99%