Development of an Early Warning System Using Social Media for Flood Disaster

Dublin Core

Title

Development of an Early Warning System Using Social Media for Flood Disaster

Subject

lood monitoring; water level measurement; thing speakAPI; user-friendly environment; field testing

Description

his research paper introduces an innovative prototype system that utilizes IoT technologies for monitoring floodwater levels. The integration of an ultrasonic sensor, ESP8266 microcontroller, Arduino IDE, and the ThingSpeak platform aims to establish a robust flood monitoring solution. The paper provides a thorough exploration of the system's background, the problem it addresses, the methodology employed, and the obtained results, along with insights into future research directions. The studymeticulously outlines the design, implementation, and programming code for data collection and transmission within the system. Through extensive field testing and meticulous data analysis, the paper evaluates the accuracy and effectiveness of the proposed flood monitoring solution. Notably, the research underscores the advantages of IoT, emphasizing real-time data collection, logging, and analysis as essential components for efficient flood management. In addition, the paper elucidates step-by-step instructions for configuring Telegram notifications through the ThingSpeak React app, enhancing the practical applicability of the developed system. The research effectively highlights the potential of IoT in flood monitoring, showcasing its superior accuracy and effectiveness compared to traditional methods. By demonstrating the feasibility and advantages of IoT in the context of flood monitoring, this study contributes valuable insights, enriching existing knowledge and paving theway for future advancements in the field. The research encourages continued exploration of advanced techniques to strengthen flood monitoring and management strategies. Ultimately, this work presents a comprehensive IoT-based prototype for floodwater monitoring, offering invaluable insights and fostering the promising role of IoT technologies in this critical domain

Creator

IKetut Kasta Arya Wijaya1,Ruben Cornelius Siagian2

Source

https://jurnal.iaii.or.id/index.php/RESTI/article/view/5087/909

Publisher

Universitas Warmadewa, Denpasar, Indonesia

Date

22-02-2025

Contributor

FAJAR BAGUS W

Format

PDF

Language

ENGLISH

Type

TEXT

Files

Collection

Citation

IKetut Kasta Arya Wijaya1,Ruben Cornelius Siagian2, “Development of an Early Warning System Using Social Media for Flood Disaster,” Repository Horizon University Indonesia, accessed January 12, 2026, https://repository.horizon.ac.id/items/show/10199.