Flood Disaster Preparedness and Response Using a Web-Based Integrated Flood Management System (IFMS)

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorological Department (MET) Malaysia, have disjointed data pools, late updates, and inadequate public access. In this paper, we present an IFMS, which is a contemporary web platform developed to integrate national flood management systems through data collection, automatic processing, dynamic visualization tools, and others. The system architecture consists of three main layers: IoT-enabled flood sensors, centralized web server, and responsive user interfaces. Backend processing is performed using Laravel, and front-end design uses Bootstrap and Chart.js for live data visualization. The IFMS algorithm classifies severity using a predefined standard for water levels and rainfall, modelled by a pseudocode for reproducibility and scalability. The real-time data are centralized in various APIs, such as data.gov.my and Google Maps, to ensure real-time updates occur throughout the time, and interactive monitoring by map. According to the experimental assessment, the IFMS achieves a less than one minute data refresh speed which outstrips the 15–30 min delay compared with the one observed by InfoBanjir. After user acceptance testing (UAT) (194 respondents) user satisfaction rate 94.9% for the system and technical stability 89.7% were achieved so that the new solution to be acceptable and operational. The first solution is evidenced by an evaluation comparison with other systems implemented globally, such as the Iowa Flood Information System (IFIS), Tokyo Metropolitan Flood Control System, and European Flood Awareness System (EFAS) which showed innovation in adopting real-time API integration, hydrograph and hyetograph visualization, and mobile responsiveness. Consequently, the IFMS represents an important advancement in the flood management landscape in Malaysia, harmonizing global standards with local deployment to contribute to greater situational awareness, decision-making, and community resilience.

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Publication Details

Journal
Journal of Informatics and Web Engineering
Published
2026-02-14
DOI
https://doi.org/10.33093/jiwe.2026.5.1.20
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Flood Disaster Preparedness and Response Using a Web-Based Integrated Flood Management System (IFMS)

Rizwan Ahmad, Malik Bader Alazzam, Muhammad Shukri Che Lah, Abd Samad Hasan Basari et al.
Journal of Informatics and Web Engineering
Flood Risk Assessment and Management
article

Flood Disaster Preparedness and Response Using a Web-Based Integrated Flood Management System (IFMS)

Rizwan Ahmad, Malik Bader Alazzam, Muhammad Shukri Che Lah, Abd Samad Hasan Basari, Aida Mustapha, Mohamed Abdiraman Abdirahim
article en

Abstract

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorological Department (MET) Malaysia, have disjointed data pools, late updates, and inadequate public access. In this paper, we present an IFMS, which is a contemporary web platform developed to integrate national flood management systems through data collection, automatic processing, dynamic visualization tools, and others. The system architecture consists of three main layers: IoT-enabled flood sensors, centralized web server, and responsive user interfaces. Backend processing is performed using Laravel, and front-end design uses Bootstrap and Chart.js for live data visualization. The IFMS algorithm classifies severity using a predefined standard for water levels and rainfall, modelled by a pseudocode for reproducibility and scalability. The real-time data are centralized in various APIs, such as data.gov.my and Google Maps, to ensure real-time updates occur throughout the time, and interactive monitoring by map. According to the experimental assessment, the IFMS achieves a less than one minute data refresh speed which outstrips the 15–30 min delay compared with the one observed by InfoBanjir. After user acceptance testing (UAT) (194 respondents) user satisfaction rate 94.9% for the system and technical stability 89.7% were achieved so that the new solution to be acceptable and operational. The first solution is evidenced by an evaluation comparison with other systems implemented globally, such as the Iowa Flood Information System (IFIS), Tokyo Metropolitan Flood Control System, and European Flood Awareness System (EFAS) which showed innovation in adopting real-time API integration, hydrograph and hyetograph visualization, and mobile responsiveness. Consequently, the IFMS represents an important advancement in the flood management landscape in Malaysia, harmonizing global standards with local deployment to contribute to greater situational awareness, decision-making, and community resilience.

Journal of Informatics and Web EngineeringVol. 1(5)
Jadara University (JO), Tun Hussein Onn University of Malaysia (MY)
Universiti Tun Hussein Onn Malaysia
Climate action
Openalex Percentile: Top 62%
Flood Risk Assessment and Management
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