Smart Garbage Bin Monitoring System

Roslan, Muhammad Ruzaini and Muhd Zain, Nurzaid and Mohd Radzi, Nor Azira (2023) Smart Garbage Bin Monitoring System. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 87-88. ISBN 978-629-97440-5-4

Abstract

The increasing student population in our country has given rise to a corresponding increase in waste generation within educational institutions, including UiTM Perlis. This surge in waste poses a significant challenge, as inadequate waste management can lead to detrimental consequences, such as the emission of air pollutants that pose health risks. Additionally, the accumulation of overflowing garbage serves as a breeding ground for flies, which can transmit various diseases, including food poisoning, dysentery, and cholera. To address these waste management challenges in UiTM Perlis, this research proposes the implementation of a Smart Garbage Bin Monitoring System. The primary objective is to develop a sophisticated prototype system that incorporates humidity, ultrasonic, and GPS sensors to effectively monitor and locate garbage bins. With the aid of a mobile application called Blynk, users will have access to comprehensive data on garbage levels and bin locations. The functionality test, prototype system test, usability test, and network performance test conducted for this project have yielded positive results, indicating the system's efficacy. However, there is still potential for further enhancement and refinement. Future researchers are recommended to consider incorporating additional sensors and implementing mechanisms to gather user feedback, thereby optimizing the system's performance and addressing any potential shortcomings.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Roslan, Muhammad Ruzaini
UNSPECIFIED
Muhd Zain, Nurzaid
UNSPECIFIED
Mohd Radzi, Nor Azira
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 87-88
Keywords: Internet of Things, Arduino, Ultrasonic Sensor, Humidity Sensor, Blynk
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138519
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