Design of Windstorm Disaster Early Warning System based on IoT and Hall Effect Sensor in the Critical Area Location

Herman Yuliandoko, Herman Yuliandoko, Vivien Arief Wardhany, Vivien Arief Wardhany, Subono, Sholeh Hadi Pramono, Ponco Siwindarto

2021

Abstract

One of the biggest natural disasters in Banyuwangi is windstorm and it had brought in loss many property and life. However, the handling information of windstorm to the people in Banyuwangi still uses conventional way and it made warning information late in people. So they didn’t have time to prepare and protect their property or life from windstorm. Therefore it is needed a system that can provide windstorm information quickly, accurately and widely. In this research, it was designed an early warning system (EWS) of windstorm by placing sensors in the critical locations. The placing of sensor in the right place made the windstorm detections more accurate. This research also used IoT technology, web site and android application to inform the wind speed, direction and warning notification quickly.

Paper Citation

in Harvard Style

Yuliandoko H., Arief Wardhany V., Subono., Hadi Pramono S. and Siwindarto P. (2021). Design of Windstorm Disaster Early Warning System based on IoT and Hall Effect Sensor in the Critical Area Location. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 1217-1224. DOI: 10.5220/0010962600003260

in Bibtex Style

@conference{icast-es21,
author={Herman Yuliandoko and Vivien Arief Wardhany and Subono and Sholeh Hadi Pramono and Ponco Siwindarto},
title={Design of Windstorm Disaster Early Warning System based on IoT and Hall Effect Sensor in the Critical Area Location},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={1217-1224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010962600003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Design of Windstorm Disaster Early Warning System based on IoT and Hall Effect Sensor in the Critical Area Location
SN - 978-989-758-615-6
AU - Yuliandoko H.
AU - Arief Wardhany V.
AU - Subono.
AU - Hadi Pramono S.
AU - Siwindarto P.
PY - 2021
SP - 1217
EP - 1224
DO - 10.5220/0010962600003260