Strengthening Environmental Education through IoT-Based Smart Trash Bins
Abstract
This community service program aimed to support environmental sustainability education by implementing a Smart Trash Bin system based on Internet of Things (IoT) technology at Sekolah Alam Indonesia, Cibinong. The initiative followed a structured Participatory Action Research (PAR) approach consisting of five stages: engagement, co-development, implementation, evaluation, and feedback. A technical team developed the system from Politeknik Negeri Jakarta. It integrated ultrasonic and load-cell sensors with ESP32 microcontrollers and wireless data transmission to enable real-time monitoring of waste volume and weight. In parallel, the Environmental and Forestry Agency (DLHK) of Depok City delivered a seminar on waste ecosystem management to improve knowledge among teachers and staff. Evaluation through pre- and post-test questionnaires showed that participants' knowledge scores enhanced from 13.78 to 15.61 (out of 17), while their environmental attitudes remained consistently high. This project demonstrates a scalable model for integrating technology and environmental education in schools
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Abidin, A. R., Irawan, Y., & Devis, Y. (2022). Smart Trash bin for management of garbage problem in society. Journal of Applied Engineering and Technological Science, 4(1), 202–208. https://doi.org/10.37385/jaets.v4i1.1015
Disalvo, C., & Jenkins, T. (2017). Fruit are heavy: A prototype public IoT system to support urban foraging. DIS 2017 - Proceedings of the 2017 ACM Conference on Designing Interactive Systems, 541–553. https://doi.org/10.1145/3064663.3064748
Fairey, T., Firchow, P., & Dixon, P. (2024). Images and indicators: mixing participatory methods to build inclusive rigour. Action Research, 22(2), 135–154. https://doi.org/10.1177/14767503221137851
Ferronato, N., & Torretta, V. (2019). Waste mismanagement in developing countries: A review of global issues. International Journal of Environmental Research and Public Health, 16(6). https://doi.org/10.3390/ijerph16061060
Lee, C. H., Ramasamy, M., Deivasigamani, S., & Ahamed Khan, M. K. A. (2022). IoT based farming system. Advances in Transdisciplinary Engineering, 30, 1059–1069. https://doi.org/10.3233/ATDE221132
Liu, A., Osewe, M., Wang, H., & Xiong, H. (2020). Rural residents’ awareness of environmental protection and waste classification behavior in Jiangsu, China: An empirical analysis. International Journal of Environmental Research and Public Health, 17(23), 1–12. https://doi.org/10.3390/ijerph17238928
Ma, Y., Koondhar, M. A., Liu, S., Wang, H., & Kong, R. (2020). Perceived value influencing the household waste sorting behaviors in rural China. International Journal of Environmental Research and Public Health, 17(17), 1–18. https://doi.org/10.3390/ijerph17176093
MacDonald, C. (2012). Understanding participatory action research: A qualitative research methodology option. The Canadian Journal of Action Research, 13(2), 34–50. https://doi.org/10.33524/cjar.v13i2.37
Magwenya, R. H., & Ross, A. (2023). Developing a CPD model for Eswatini—a participatory action research study. BMC Medical Education, 23(1), 1–14. https://doi.org/10.1186/s12909-023-04016-7
Montori, F., Bedogni, L., & Bononi, L. (2018). A collaborative internet of things architecture for smart cities and environmental monitoring. IEEE Internet of Things Journal, 5(2), 592–605.
https://doi.org/10.1109/JIOT.2017.2720855
Paul, N. K., Saha, D., Biswas, K., Akter, S., Islam, R. T., & Bhuyan, M. H. (2023). Smart trash collection system – an iot and microcontroller-based scheme. Journal of Engineering Research and Reports, 24(11), 1–13. https://doi.org/10.9734/jerr/2023/v24i11849
Rahmayanti, H., Oktaviani, V., & Syani, Y. (2018). The implementation of smart trash as smart environment concept. E3S Web of Conferences, 74, 1–5. https://doi.org/10.1051/e3sconf/20187406003
Riduan, A., Panjaitan, F., Rizal, S., Huda, N., & Purnamasari, S. D. (2024). Detection of inorganic waste using convolutional neural network method. Journal of Information Systems and Informatics, 6(1), 290–300. https://doi.org/10.51519/journalisi.v6i1.662
Sung, W. T., Devi, I. V., Hsiao, S. J., & Fadillah, F. N. (2022). Smart garbage bin based on aiot. Intelligent Automation and Soft Computing, 32(3), 1387–1401. https://doi.org/10.32604/IASC.2022.022828
Vishnu, S., Jino Ramson, S. R., Senith, S., Anagnostopoulos, T., Abu-Mahfouz, A. M., Fan, X., Srinivasan, S., & Kirubaraj, A. A. (2021). IoT-enabled solid waste management in smart cities. Smart Cities, 4(3), 1004–1017. https://doi.org/10.3390/smartcities4030053
Yamaguti, R., Ferreira, L. C. B. C., Branquinho, O. C., & Cardieri, P. (2021). Integrated Digital Learning Environment for IoT(IDLE): Teaching IoT through projects. 26–29. https://doi.org/10.14209/sbrt.2021.1570724188
DOI: https://doi.org/10.20527/btjpm.v7i4.16150
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