Development of Early Warning System for flood at recreational site using web-based application

Kamaruzaman, Nurul Athirah and Abd Halim, Iman Hazwam (2023) Development of Early Warning System for flood at recreational site using web-based application. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 155-156. ISBN 978-629-97440-5-4

Abstract

The development of Early Warning System (EWS) focuses on providing information and early warning, if necessary, to the public about the condition of the river and if there is a predicted flood at the recreational area. This project is an extension from an Internet of Things (IoT) project in which a data retrieved from IoT device is stored in a real-time database to be integrated into the web application. The purpose of this project is to develop a web-based application that allows users to view updates about the intensity level of the possibility of a flood at the recreational area and to test and analyze the Early Warning System web application and its usability in displaying accurate information for users. The significance of this project is to provide convenience for recreational area visitors and most importantly, to help avoid casualties. By studying the records of the 25 respondents that has participated in the usability and functionality test, it is obvious that the majority of them are satisfied with the system and are likely to use the application, when necessary, in the future.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Kamaruzaman, Nurul Athirah
UNSPECIFIED
Abd Halim, Iman Hazwam
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application software
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 155-156
Keywords: early warning system, flood, recreational area, Internet of Things (IoT)
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138866
Edit Item
Edit Item

Download

[thumbnail of 138866.pdf] Text
138866.pdf

Download (53kB)

ID Number

138866

Indexing

Statistic

Statistic details