IoT-based Smart Garbage Monitoring
Keywords:smart garbage monitoring system, arduino, nodeMCU, ultrasonic sensor
Smart Garbage Monitoring System using Arduino and Blynk is an IoT-based project that is integrated with cloud computing service. It was developed specifically to help janitors and residential college representative committee in a public university in Malaysia in monitoring the level of garbage in the dustbin through Blynk application, which makes it easy to empty the dustbin and optimize the garbage collection time. This project uses ultrasonic sensor to measure the level of garbage in the dustbin and the data can be viewed through mobile application, Blynk. It will also notify users through email once the garbage bin capacity is full. Other than notification function, Smart Garbage Monitoring System also consists of automatic open and close lid, track dustbin location and humidity level. The objectives of this project are to design the IoT system that detects the level of the garbage displayed in Blynk and an LCD attached to the dustbin and to validate the user acceptance test for the system. The development of Smart Garbage Monitoring System used the System Development Life Cycle (SDLC) by implementing the agile model as the methodology. A User Acceptance Testing was conducted with 20 respondents including students from the student representativesâ€™ body and janitors. This testing aimed to determine the acceptance of the system by conducting an evaluation. The results of the User Acceptance Test shows that most of the participants agreed and verified that the system works for them and a suitable solution for their problems. Therefore, based on the features and functionalities offered by the Smart Garbage Monitoring System, it could be concluded that this system is beneficial to all the users, especially the janitors and students of the residential college.
Anwar, A., Sarkar, P., Dutta, R., & Mollick, S. M. (2018). IOT BASED GARBAGE MONITORING USING ARDUINO. 27.
Hambling, B., & Van Goethem, P. (2013). User acceptance testing: A step-by-step guide. BCS Learning & Development
Ismail, M. H. bin, Razak, T. R., & Abd Halim, I. H. (2019). An Implementation of Internet-connected Indoor Dust Bin Waste Level Monitoring System for Office Use. Journal of Computing Research and Innovation, 4(2), 42–48. https://doi.org/10.24191/jcrinn.v4i2.127
Ministry of Higher Education (MOHE). (2020). Statistik Pendidikan Tinggi 2019 : Kementerian Pengajian Tinggi. Retrieved from Ministry of Higher Education (MOHE): https://www.mohe.gov.my/en/download/awam/statistik/2019-1
Mohd Halim, A. R. (2020, May). Smart Garbage Monitoring System using Arduino & Blynk #Demo1—YouTube. https://www.youtube.com/watch?v=Sj3BrU01Ksc
Monika, K. A., Rao, N., Prapulla, S. B., & Shobha, G. (2016). Smart Dustbin-An Efficient Garbage Monitoring System.pdf. International Journal of Engineering Science and Computing (IJESC).
Navghane, S. S., Killedar, M. S., & Rohokale, D. V. M. (2016). IoT Based Smart Garbage and Waste Collection Bin. 5(5), 3.
Weng, F., Yang, R.-J., Ho, H.-J., & Su, H.-M. (2018). A TAM-Based Study of the Attitude towards Use Intention of Multimedia among School Teachers. Applied System Innovation, 1(3), 36. https://doi.org/10.3390/asi1030036
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