Research Article Open Access

IoT-Based Waste Height and Weight Monitoring System

Tedi Gunawan1, Elis Hernawati1 and Bayu Rima Aditya1
  • 1 Telkom University, Indonesia


Over the past decade, the use of smart waste monitoring systems has become a popular way of waste management. This system generally makes it easier for scavengers and household users to monitor the status of the level of waste in the trash. This study aims to create an innovative IoT-based intelligent waste monitoring system to facilitate waste monitoring for households. The proposed system consists of the first 3 important parts, an IoT-based household trash bin monitoring system. Second, the smart trash can monitor system uses 2 sensors, namely ultrasonic sensors and load cell sensors. Third, display a full indicator on the web if it has reached the maximum height or weight limit of garbage. Meanwhile, the evaluation of the system is carried out by testing the accuracy of the weight and height values of the waste on the smart waste system and using the black-box method for testing application features. The proposed smart trash bin has been tested manually using a ruler for measuring the height of the trash compared to measurements using a height sensor resulting in an average gap error of 0.08 cm. While the results of the comparison of measuring waste weight using a scale in kg compared to measuring waste weight using a weight sensor resulted in an average gap error of 0.03 kg. The test results are close to the actual height and weight of the garbage. The main contribution of this research is a system to monitor the volume of waste in the trash that can be linked to the application of waste collection service management for residential environments. Smart trash can users can monitor the condition of the waste by looking at the high level and weight indicators of the waste on the web application when it reaches the maximum then sending an order message to the waste collection manager for waste.

Journal of Computer Science
Volume 17 No. 11, 2021, 1085-1092


Submitted On: 24 June 2021 Published On: 29 November 2021

How to Cite: Gunawan, T., Hernawati, E. & Aditya, B. R. (2021). IoT-Based Waste Height and Weight Monitoring System. Journal of Computer Science, 17(11), 1085-1092.

  • 39 Citations



  • IoT- Web
  • Height
  • Weight
  • Monitoring