Utilization of IoT for Waste Transportation Optimization Through a Web-Based Monitoring System
DOI:
https://doi.org/10.59934/jaiea.v5i1.1270Keywords:
Waste management, Internet of Things (IoT), ultrasonic sensor, operational efficiencyAbstract
Ineffective waste management can lead to waste of resources, accumulation of waste, and inefficient mobility of cleaning staff. The current waste transportation system is still carried out routinely without considering the fullness of the bins, causing a waste of fuel and labor. This research aims to develop an Internet of Things (IoT)-based trash bin monitoring system and Web application to improve the efficiency of waste management. The system uses ultrasonic sensors to detect the fullness level of bins and sends real-time data to a Web-based monitoring platform. The system is also equipped with an automatic notification function to notify the janitor when the bin is full. This research uses the Research and Development (R&D) method for IoT system development and the Extreme Programming (XP) method for Web application development. The eXPected result is a system that can reduce the number of unnecessary trips, reduce operational costs, and improve overall environmental cleanliness. With this system, waste management is eXPected to be more efficient, sustainable, and environmentally friendly.
Downloads
References
L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, 2010.
M. F. Goodchild, “Citizens as sensors: The world of volunteered geography,” GeoJournal, vol. 69, no. 4, pp. 211–221, 2007.
H. Gusdevi, A. Hadhiwibowo, N. Agustina, A. Fatah, and M. Naseer, “IoT-based weighing device for monitoring and managing organic waste in smart waste management in Manyingsal Village,” Jurnal Ilmiah Nasional Riset Aplikasi dan Teknik Informatika, vol. 5, no. 2, pp. 162–166, 2023.
A. Hanafie, K. Sukirman, and M. E. Putri, “Development of smart trash bins based on the Internet of Things (IoT): A case study at the Faculty of Engineering, UIM,” ILTEK: Jurnal Teknologi, vol. 16, no. 1, pp. 34–37, 2021.
R. A. Hapsari and A. Adiwijaya, “Smart Trash Monitoring System using NodeMCU and Ultrasonic Sensors,” Jurnal Teknik ITS, vol. 7, no. 2, pp. A123–A127, 2018.
T. K. Priyambodo and A. S. Nugroho, “ESP32 implementation for IoT-based smart waste monitoring system,” Jurnal Teknologi dan Sistem Komputer, vol. 8, no. 2, pp. 87–94, 2020.
K. Beck, Extreme Programming eXPlained: Embrace Change. Boston: Addison-Wesley Longman Publishing Co., Inc., 2000.
] M. Margolis and B. Hunter, Arduino Cookbook. Sebastopol, CA: O’Reilly Media, 2011.
Sugiyono, Mixed Methods Research Methodology. Bandung: Alfabeta, 2016.
L. Welling and L. Thomson, PHP and MySQL Web Development, 4th ed. Boston: Addison-Wesley, 2009.
T. A. Putra, M. Assidiq, and Basri, “IoT-based trash bin monitoring system,” Journal Peqguruang: Conference Series, vol. 4, no. 1, 2022.
R. Inggi and Rizal, “Design of automatic water level controller and irrigation system for hydroponic planting media using Arduino,” Simkom, vol. 5, no. 2, pp. 28–34, 2020.
A. R. Belair, Shopping for Your Self: When Marketing Becomes a Social Problem. Dissertation. Concordia University, Montreal, Quebec, Canada, 2003.
Espressif Systems, ESP32 Datasheet. Espressif Documentation, 2020.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Artificial Intelligence and Engineering Applications (JAIEA)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.







