Telegram bot-based Flood Early Warning System with WSN Integration

Wahid, Abdul and Parenreng, Jumadi Mabe and Kusnandar, Welly Chandra Kusumah and Adi, Puput Dani Prasetyo (2024) Telegram bot-based Flood Early Warning System with WSN Integration. ILKOM Jurnal Ilmiah, 16 (2). pp. 151-160. ISSN E-ISSN 2548-7779 | P-ISSN 2087-1716

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Abstract

Abstract Indonesia experiences frequent flooding, with data from the National Disaster Management Agency (BNPB) revealing that floods account for 41% of all natural disasters (1,441 incidents) recorded in 2021. These floods cause significant property damage and casualties. To address this challenge, we have developed a prototype flood early warning system. This system utilizes ultrasonic sensors for real-time water level detection. Sensor data is transmitted to designated personnel through a website interface. Additionally, the system leverages a Telegram bot to deliver flood early warnings directly to the community residing in floodprone areas. The sensor data comparison test yielded an error rate of only 0.6175% with an average difference of 1 cm, demonstrating the system's accuracy and functionality. Furthermore, a notification test conducted ten times achieved 100% accuracy. The Telegram bot successfully sent text message alerts (alert 1, alert 2, alert 3) with an average delivery time of 4.07 seconds. This prototype offers a promising solution for flood mitigation. By providing real-time water level data and issuing timely alerts via a user-friendly Telegram bot, the system empowers communities to prepare for potential flooding and minimize associated risks

Item Type:	Article
Uncontrolled Keywords:	Alert; Early Warning System; Flood; Water Level Detection; Wireless Sensor Network
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	Herling HR Sahade
Date Deposited:	14 Sep 2024 12:50
Last Modified:	17 Sep 2024 02:21
URI:	http://eprints.unm.ac.id/id/eprint/36090

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