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International Journal of Research and Innovation in Applied Science (IJRIAS)

Floodsense North Caloocan: An IoT-Based Community Flood Monitoring and Reporting System

byAng, Miguel Romero; Buenviaje, Janessa Marie; Jacob, Glenn Mark; Kinkito, Christian Nicole; Magtoto, Jamaica; Montaril, Bhon Andrei; Odsinada, John Roi; Ruizo, Eliza Ann; Naturales, Jeanethjoy

Published July 3, 2026  •  Vol. 11, Issue 6, pp. 1921–1944Open Access
DOI: 10.51584/IJRIAS.2026.11060147

Abstract

Flooding remains one of the most recurring natural disasters in the Philippines, causing significant disruptions to communities, infrastructure, and public safety. North Caloocan is among the areas frequently affected by flooding, particularly during periods of heavy rainfall and typhoons. Traditional flood monitoring methods often rely on manual observation and delayed reporting, resulting in slow dissemination of information and reduced effectiveness of emergency response efforts. This study developed FloodSense North Caloocan, an Internet of Things (IoT)-based community flood monitoring and reporting system designed to provide real-time flood information and improve disaster preparedness within the community.
The system utilizes an ESP32 microcontroller and a waterproof ultrasonic sensor to monitor water levels and transmit data to a cloud-based database. A web application developed using the MERN stack (MongoDB, Express.js, React, and Node.js) enables real-time monitoring, community reporting, flood mapping, and notification services. A quantitative research approach was employed to assess community needs and system acceptance.
Results indicate that residents strongly support the implementation of a real-time flood monitoring system and recognize its potential to improve awareness, preparedness, and response during flood events. Prototype-level validation demonstrated consistent water-level estimation using the JSN-SR04T ultrasonic sensor. Functional testing showed web dashboard update times ranging from 1–3 seconds, notification delays ranging from 4–10 seconds with a 100% notification success rate, and reliable data transmission across all validation trials. These findings indicate that the system can provide timely and dependable flood information for community-based disaster preparedness. The findings demonstrate that FloodSense North Caloocan can serve as an effective tool for enhancing community resilience and supporting local disaster risk reduction and management initiatives.

Keywords: Flood Monitoring, Internet of Things, FloodSense, North Caloocan, Disaster Management, Real Time Monitoring, Community Reporting

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 11, Issue 6
Pages1921–1944
Publication dateJuly 3, 2026
DOI10.51584/IJRIAS.2026.11060147
PublisherRSIS International
LicenseOpen Access

How to cite this article

Ang, Miguel Romero, Buenviaje, Janessa Marie, Jacob, Glenn Mark, Kinkito, Christian Nicole, Magtoto, Jamaica, Montaril, Bhon Andrei, Odsinada, John Roi, Ruizo, Eliza Ann, & Naturales, Jeanethjoy (2026). Floodsense North Caloocan: An IoT-Based Community Flood Monitoring and Reporting System. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(6), 1921-1944. https://doi.org/10.51584/IJRIAS.2026.11060147

BibTeX

@article{Ang2026,
  title   = {Floodsense North Caloocan: An IoT-Based Community Flood Monitoring and Reporting System},
  author  = {Ang, Miguel Romero and Buenviaje, Janessa Marie and Jacob, Glenn Mark and Kinkito, Christian Nicole and Magtoto, Jamaica and Montaril, Bhon Andrei and Odsinada, John Roi and Ruizo, Eliza Ann and Naturales, Jeanethjoy},
  journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
  volume  = {11},
  number  = {6},
  pages   = {1921--1944},
  year    = {2026},
  doi     = {10.51584/IJRIAS.2026.11060147},
  publisher = {RSIS International}
}