scholarly journals Implementation of the SMS Gateway in the Flood Early Warning Information System for Village Warning and Community Information

2019 ◽  
Vol 8 (6) ◽  
pp. 4005-4009
Keyword(s):  
Information System ◽  
Early Warning ◽  
Detection System ◽  
Warning System ◽  
Short Term ◽  
The Public ◽  
Detection Systems ◽  
Flood Warning ◽  
Flood Detection ◽  
Flood Warning System

Flooding is a national disaster that often occurs in Indonesia. Flood disasters require long-term and short-term action. In the short-term system, the government currently emphasizes state and private institutions to jointly reduce flood victims by developing a flood disaster early warning system. Therefore, this study discusses the making of flood early warning information systems by utilizing GSM communication systems as a means of communication between clients and servers. The GSM communication service used is the SMS Gateway. The SMS gateway service is used for the first time sending data from a flood detection system to a flood information system. Second, disseminating flood information to the public. In this study, the flood warning system for flood early warning works with the integration of three modes.The three systems are flood detection systems, flood alarm systems, and flood early warning information systems. Flood detection systems are built using ultrasonic sensors and rain sensors as inputs, Arduino Uno as data processors and GSM SIM900 modules as outputs. The alarm system consists of GSM SIM900 module as Input, Arduino Uno as processor and electric alarm as output. The flood early warning information system was built using a Wavecom GSM modem, and data processing using PHP, MySQL DBMS, and Gammu. The communication system between each system uses SMS data. This method as a whole began in a flood detection system that sends flood and rain data to the flood early warning information system. And the flood warning system sends alarm activation data to the alarm system. Finally, the system distributes flood information to the public via SMS Gateway. This research is expected to help the community in anticipating more victims with flood information previously obtained

scholarly journals Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor

2020 ◽  
Vol 4 (1) ◽  
pp. 230-235
Author(s):  
Novianda Nanda Nanda ◽  
Rizalul Akram ◽  
Liza Fitria
Keyword(s):  
Water Level ◽  
Early Warning ◽  
High Intensity ◽  
Rainy Season ◽  
Early Warning System ◽  
Detection System ◽  
Warning System ◽  
Level Sensor ◽  
Flood Detection ◽  
Internet Of Thing

During the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur.Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT).

scholarly journals Design and Implementation of Real-Time Flood Early Warning System (FEWS) Based on IoT Blynk Application

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Hasbi Nur Prasetyo Wisudawan
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Average Temperature ◽  
Flood Warning ◽  
Flood Warning System

Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks.  Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation.  Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.

scholarly journals Visualization System for Water Levels and Environmental Conditions in the Flood Monitoring Information System

2019 ◽  
Vol 8 (11) ◽  
pp. 2904-2907
Keyword(s):  
Information System ◽  
Information Systems ◽  
Real Time ◽  
Communication System ◽  
Detection System ◽  
Visualization System ◽  
Detection Systems ◽  
Flood Monitoring ◽  
Flood Detection ◽  
Monitoring Information

Flood disaster is a national disaster that takes a lot of victims and material for now. The government nationally implements short-term programs to anticipate disasters by supporting the various government and private institutions in developing disaster mitigation systems to reduce sustainable casualties. Based on this support, this research aims to develop a flood monitoring information system by implementing a real-time flood visualization system. System development is done by making two systems, namely hardware-based flood detection systems that are used as client systems and software-based flood monitoring information systems as servers. Flood detection systems are built using ultrasonic sensors, temperature sensors, rain sensors, Arduino microcontrollers, and Sim900A GSM modules. On the flood monitoring information system server using the Xampp component as a server application and Gammu as an SMS application. The communication system between the two systems uses the SMS Gateway communication system. The parameter values sent through the flood detection system will be visualized by the server in the form of animation and text. From the research, it was found that the flood detection system as a client has been able to send flood data, temperature, and rain conditions in real-time. And flood monitoring information systems have been able to capture data from client systems and store them in MySQL DBMS

Feedback structure and EFAS flood warning verification for the rivers in the northwestern Russian Federation

2020 ◽  
Vol 4 ◽  
pp. 96-109
Author(s):  
A.V. Romanov ◽  
◽  
M.V. Yachmenova ◽  
Keyword(s):  
Russian Federation ◽  
Forecast Accuracy ◽  
Warning System ◽  
General Description ◽  
System Quality ◽  
Flood Warning ◽  
Forecast Lead Time ◽  
Feedback Structure ◽  
The Russian Federation ◽  
Flood Warning System

Based on the example of flood warning data provided by EFAS for the territory of Northwestern Administration for Hydrometeorology and Environmental Monitoring in 2018-2020, the structure of the systematized issues of the EFAS portal is analyzed. The issues determine a feedback for the year-round monitoring of the accuracy of flood forecasting using the LISFLOOD base model, as well as its calibration. Several most important feedback sections are highlighted, that allow improving significantly a procedure for the quantitative and qualitative differentiated assessment of short- and medium-range flood forecasts. Using the results of the numerical analysis, a general description of the EFAS flood warning system quality and the prospects for the participation of the Russian Federation in it are given. Keywords: flooding, hydrological forecasts, forecast lead time, feedback, forecast accuracy

A flood warning system for railways

2008 ◽  
Vol 2 (4) ◽  
pp. 237-249
Author(s):  
Thomas Nester ◽  
Andreas Schöbel ◽  
Ulrike Drabek ◽  
Christian Rachoy ◽  
Hans Wiesenegger
Keyword(s):  
Warning System ◽  
Flood Warning ◽  
Flood Warning System

scholarly journals Currency crises in EU candidate countries: An early warning system approach

2015 ◽  
Vol 62 (4) ◽  
pp. 493-510 ◽  
Author(s):  
Vesna Bucevska
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Currency Crises ◽  
Warning System ◽  
Growth Potential ◽  
Short Term ◽  
Gdp Growth Rate ◽  
Fiscal Balance ◽  
Eu Candidate Countries ◽  
External Indebtedness

The purpose of this paper is to develop an econometric model of early warning system (EWS) for predicting currency crises in EU candidate countries. Using actual quarterly panel data for three EU candidate countries (Croatia, Macedonia and Turkey) in the period January 2005 - June 2010, we estimate a binomial logit model, which accurately predicts potential episodes of outbreak of currency crisis. In addition, we find that real GDP growth rate, participation in an IMF loan program, current account and fiscal balance and short-term external indebtedness are the most significant common predictors of currency crises across EU candidate countries. These results imply implementing policy measures aimed at raising the growth potential of the domestic economies of EU candidate countries, monitoring their short-term external indebtedness, improving their external competitiveness, cutting public spending and increasing the confidence of residents and non-residents in their domestic banking sectors.

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