Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
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Article Number | 16003 | |
Number of page(s) | 5 | |
Section | Computer and Communication Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819716003 | |
Published online | 12 September 2018 |
Prototyping of Flooding Early Warning System using Internet of Things Technology and Social Media
Politeknik TEDC Bandung, Jl. Pesantren Km 2 Cibabat - Cimahi Utara 40513 Cimahi - Jawa Barat - Indonesia
* Corresponding author: rismayana@poltektedc.ac.id
When the rainy season arrives, flooding is a common phenomenon. Almost every street, housing, village, river, even in the city center, wherever floods can occur. One effort to prevent the flooding is to create a floodgate on reservoirs or dams that are used to control the water distribution. The water level at this dam must be checked frequently to anticipate if the water level is at a dangerous level. The inspection of water levels will be very difficult if it must be conducted by humans who must be available in the field at any time. This research aims to create a prototype system that can replace the human role in monitoring the dam water level condition at any time by developing an integrated system between hardware and software using IoT (Internet of Things) technology approach and social media (twitter and telegram). The developed system consists of the height sensor (distance), microcontroller and wifi module, which is placed on the water gate. This system serves to measure the water level at any time and send data in real time to the server. The results of system testing performed shows that when the system is in normal circumstances, the system sends data to the server every minute, and updates the status of water level in twitter every 5 minutes. In case the water level has exceeded a predetermined limit, the system sends data to the server every 5 seconds and passes the warning message to all registered telegram contacts.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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