Flood Annunciator Innovation Based on Artificial Intelligence Technology

DOI

10.2991/978-94-6463-678-9_26How to use a DOI?

Keywords

Flood; Artificial Intelligence; Fuzzy Logic

Abstract

Flooding is a natural disaster phenomenon that often occurs in Indonesia. It is not only caused by high rainfall that causes an increase in river water volume, but also by other factors such as obstructed river flow due to accumulation of garbage. Floods can negatively impact the surrounding environment, causing damage to river ecosystems, economic losses that disrupt economic activities, property damage, and even loss of life. This research is an innovative approach combining Artificial Intelligence with image classification technology that can recognize objects in images and overcome the urgency of flood disaster problems by applying Fuzzy Logic as a decision-maker. The innovation target of this research is to apply image processing using Convolutional Neural Network, where the system will read comparison data in the form of videos to determine whether the area is flooded or not. These analysis parameters will be combined with other sensors, including a tipping bucket rain gauge sensor to detect rainfall, a JSN-SRT04 ultrasonic sensor to measure river water level, and an FS300A sensor to measure flowing water discharge. Integrating these four input parameters uses fuzzy logic to produce consistent decision outputs. The flood detection system is also equipped with a real-time monitoring feature through the website, allowing remote monitoring of flood conditions. Thus, through several innovative steps that have been designed in this research, can contribute to efforts to reduce and even eliminate the impact of flood disasters in the form of economic losses, environmental damage, and even casualties.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sobri
AU  - Evelina
AU  - Masayu Anisah
AU  - Yeni Irdayanti
AU  - Sabilal Rasyad
AU  - Nyayu Latifah Husni
AU  - Charina Mutiara Chairunnisa
AU  - Ifroh Intan Sepulau
PY  - 2025
DA  - 2025/05/01
TI  - Flood Annunciator Innovation Based on Artificial Intelligence Technology
BT  - Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
PB  - Atlantis Press
SP  - 275
EP  - 289
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-678-9_26
DO  - 10.2991/978-94-6463-678-9_26
ID  - 2025
ER  -