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Software Engineering
Nur Nasuha Binti Mohd Daud
Computer System & Network
Noorzaily Mohamed Nor
Artificial Intelligence
Zati Hakim Azizul Hasan
Information System
Kasturi Dewi A/p Varathan
Multimedia
Hannyzzura Pal@affal
Islamic Studies
Hannyzzura Pal@affal

Project Details

Details
Supervisor Raja Jamilah Raja Yusof Department Software Engineering
Semester Semester 2 Session 2025/2026
Mode CONVENTIONAL No of Student 2 of 2 students Full
Project Details
Project Title Arus-SAMS : School Asset Management and Flood Mitigation System with Geospatial iHYDRO Integration and QR-Based Auditing
Subtitle
  • Web Platform
  • Mobile Platform
  • Description

    Arus-SAMS: School Asset Management and Flood Mitigation System with Geospatial iHYDRO Integration and QR-Based Auditing is a specialized Software-as-a-Service (SaaS) platform designed to digitize school asset management while enhancing disaster preparedness, particularly for flood-prone regions in Sarawak. The system replaces traditional paper-based inventory practices (e.g., KEW.PA forms) with a QR-code-driven digital ecosystem, enabling efficient tracking, auditing, and management of school assets. Through a structured hierarchical location model, assets are mapped according to spatial coordinates and physical elevation, allowing administrators to maintain accurate, real-time visibility of asset distribution within school environments.

    Beyond inventory management, Arus-SAMS functions as an intelligent Decision Support System (DSS) by integrating real-time hydrological data from the iHYDRO Sarawak network, particularly from monitoring stations such as Batu Kawa Bridge. The system analyzes flood risk by combining environmental data with asset-specific attributes, including cost, criticality, and elevation. Leveraging a Multi-Criteria Decision Analysis (MCDA) approach, it generates an automated and prioritized evacuation plan during flood events. This prioritization reflects principles of optimal resource allocation, where limited time, manpower, and logistical capacity are directed towards safeguarding the most critical and high-value assets first. As a result, the system supports informed decision-making, minimizes potential financial losses, and enhances overall disaster response efficiency and recovery readiness in educational institutions.

    The system will be developed as a web-based platform for administrators to manage assets, monitor flood risks, and generate evacuation plans through an interactive dashboard. In addition, a mobile application will support on-site operations such as QR code scanning, real-time asset updates, and rapid access to prioritized evacuation checklists during emergency situations.


    This project contributes to SDG 11 by enhancing community resilience and disaster preparedness through a digital system that helps schools respond effectively to flood risks. By enabling structured asset management and data-driven evacuation planning, it supports safer and more sustainable infrastructure in flood-prone areas.

    Possible Tools and Technologies for Development

    1. Frontend (User Interface)

    • React (web dashboard)
    • Flutter or React Native (mobile app for scanning QR and asset updates)

    2. Backend (System Logic & API)

    • Node.js (with Express.js for API services)
    • Django (alternative Python-based backend)

    3. Database & Storage

    • PostgreSQL (structured asset and location data)
    • MongoDB (flexible data for logs and telemetry)

    4. Geospatial & Mapping Integration

    • Leaflet or Google Maps Platform
    • Integration with iHYDRO API (if accessible)

    5. QR Code System

    • ZXing (generation and scanning)
    • Mobile camera integration for real-time scanning

    6. Decision Support & Optimization

    • Python libraries such as:
      • NumPy
      • scikit-learn (optional predictive models)
    • Custom Multi-Criteria Decision Analysis (MCDA) algorithm

    7. Cloud & Deployment (SaaS Model)

    • Amazon Web Services (EC2, RDS, S3)
    • Google Cloud Platform
    • Microsoft Azure

    8. Real-Time Data Handling

    • Firebase (optional for live updates)
    • REST API integration with hydrological sensors


    Potential Collaborators

    Stakeholder: Othman Bin Unek (Headmaster, SK Rantau Panjang), providing domain

    expertise and user requirements.

    External Data Provider: JPS Sarawak (Source of hydrological telemetry)i-Hydro.

    Tools As described above
    Assigned Students
  • MUHAMMAD SYUKRI BIN OTHMAN (Subtitle: Web Platform)
  • KHAIRUL ANAM BIN AMAT SIDIQ (Subtitle: Mobile Platform)