Digital Village

Towards a Smart Society Tsunami Mitigation Using Arduino Based on Internet of Things

DOI

10.2991/assehr.k.220305.054How to use a DOI?

Keywords

IoT; tsunami warning; Arduino; website; Zachman framework; AIC model

Abstract

The research that will be carried out is to improve the current system used for tsunami disaster mitigation where the working system is an offshore detection tool that will trigger the SMS Gateway system at BMKG and simultaneously the people around the affected area will receive a warning through SMS earlier. When there is an earthquake or other causes that may have an impact on a Tsunami, officers convey information using the manual method, namely hitting a gong to warn the surrounding community to be alert because the water level has the potential to cause a Tsunami. This article presents the results of research that aims to mitigate the Tsunami disaster by building a flood early warning system using an Arduino microcontroller based on the Internet of Things. This study uses the Zachman Framework and the AIC model with an e-government approach. The result is a model of an intelligent village information system and a fast response to the Tsunami disaster digitally. The information system developed is in the form of a mobile friendly website that can display measurement results from sensors, display water levels, store measurement results from sensors in a database, online forums as a trigger for tsunami-aware public participation, and an expert system for tsunami response rapid socialization. The website is integrated with Arduino. The water level sensor is installed on the river water gate connected to the Arduino Uno device which is equipped with an SMS Gateway SIM900A. Automatically, this system monitors the potential for a Tsunami tirelessly and sends information to the Disaster Risk Reduction Forum Team in Purbayni village located on the outskirts of South Garut Beach and the Head of RT in the neighborhood around the South Sea Coast. The IoT technology in this study is used to store Earthquake data and turn on the siren as a warning sign for the Tsunami disaster when the data received reaches the Tsunami alert level.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Indra Kristian
AU  - Rima
AU  - K. Tasdik
AU  - Dina
AU  - Tom Finaldin
AU  - M. Daud Yusuf
AU  - Asep Komarudin
AU  - Ria Nirwana
AU  - Asep Adang
AU  - Ade Burhanudin
PY  - 2022
DA  - 2022/03/30
TI  - Digital Village
BT  - Proceedings of the 4th International Conference on Innovation in Engineering and Vocational Education (ICIEVE 2021)
PB  - Atlantis Press
SP  - 267
EP  - 271
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220305.054
DO  - 10.2991/assehr.k.220305.054
ID  - Kristian2022
ER  -