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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics
Siti Asma Che Aziz
Universiti Teknikal Malaysia Melaka
Computer Science & IT Electrical & Electronics Engineering

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Flood disaster indicator of water level monitoring system Wan Haszerila Wan Hassan; Aiman Zakwan Jidin; Siti Asma Che Aziz; Norain Rahim
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.374 KB) | DOI: 10.11591/ijece.v9i3.pp1694-1699

Abstract

The early warning systems for flood management have been developed rapidly with the growth of technologies. These system help to alert people early with the used of Short Message Service (SMS) via Global System for Mobile Communications (GSM). This paper presents a simple, portable and low cost of early warning system using Arduino board, which is used to control the whole system and GSM shields to send the data. System has been designed and implemented based on two components which is hardware and software. The model determines the water level using float switch sensors, then it analyzes the collected data and determine the type of danger present. The detected level is translated into an alert message and sent to the user. The GSM network is used to connect the overall system units via SMS.
Smart sensor integration for real-time quality monitoring in processed frozen foods Aina Hayani Amran; Nur Hazahsha Shamsudin; Siti Asma Che Aziz; Siti Amaniah Mohd Chachuli; Nur Fazira Haris
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.10480

Abstract

The demand for processed frozen food has increased due to its rich flavors, long shelf life, and convenience. This trend was noticeable during the COVID-19 pandemic as it reduced the need for frequent grocery shopping and minimized virus exposure. However, processed frozen food is still prone to spoilage over time. This study aims to monitor the quality of processed frozen food, including beef, chicken, and fish, over 24 hours using three primary sensors known as MQ4, MQ136, and MQ137. These sensors detect the main gases produced during food spoilage, which are methane (CH4), hydrogen sulphide (H2S), and ammonia (NH3), respectively, and are integrated with the ESP32 microcontroller. Each sample was analyzed using 100 g of meat placed in a sealed container, with ambient temperature and humidity levels being monitored. The pattern of gas production can be viewed on ThingSpeak, and a notification is sent via Telegram when the threshold value is reached. This study is conveniently used to identify the typical conditions under which processed frozen food is most likely to be spoiled. The result shows that the MQ137 sensor is the most sensitive in detecting early spoilage stages, which indicates the ammonia gas in high temperature and humidity levels.
Co-Authors Aiman Zakwan Jidin Aina Hayani Amran Norain Rahim Nur Fazira Haris Nur Hazahsha Shamsudin Siti Amaniah Mohd Chachuli Wan Haszerila Wan Hassan