Smart Waste Management Design for Higher Education: Case Study of Al-Azhar University of Indonesia

Authors

DOI:

https://doi.org/10.46984/sebatik.v29i2.2622

Keywords:

Smart Waste Management, Al-Azhar University of Indonesia, UI Greenmetric, IoT, Machine Learning

Abstract

Al-Azhar University of Indonesia (UAI) has faced significant challenges in waste management. This has caused the UI GreenMetric ranking to be lower. After conducting observations and interviews with the Technical Implementation Unit for Facilities and Infrastructure (SarPras), several major problems found included the absence of waste sorting, excessive waste accumulation, and large waste generation at temporary disposal sites. To improve UAI's ranking in UI Greenmetric and achieve the Sustainable Development Goals target, this study produced a smart waste management system based on the Internet of Things (IoT), Embedded Systems, and Machine Learning (ML). Some of the main components of the design results include a smart bin that uses ultrasonic sensors to reduce accumulation; a web application for monitoring and reward systems; and automatic waste sorting for recycling using Raspberry Pi, infrared sensors, and the ML FOMO (Faster Objects, More Objects) algorithm secured through a CCTV system. In addition, this system is supported by digital education for waste reuse and collection route optimization using ML predictions of the Linear Regression model. With the cooperation of third party sorted waste transportation, this design improves waste management and UAI GreenMetric UI ranking with validation and approval by SarPras and Information Technology Center (PTI).

References

Adhy, D. R., Anwar, N., Maesaroh, S., & Hermawan, R. (2025). Machine Learning Dan Internet Of Things (Iot): Implementasi Machine Learning Dalam Internet of Things. PT. Star Digital Publishing, Yogyakarta-Indonesia.

Afolalu, S. A., Ogedengbe, T. S., Ikumapayi, O. M., Adediran, A. A., & Yussouff, A. A. (2024). Wastewater And Its Management–A Review. 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), 1–7.

Arifandi, M. W. (2020). Pengembangan Sistem Tempat Sampah Pintar Berbasis Internet of Things (IoT). Politeknik Negeri Ujung Pandang.

Atici, K. B., Yasayacak, G., Yildiz, Y., & Ulucan, A. (2021). Green University and academic performance: An empirical study on UI GreenMetric and World University Rankings. Journal of Cleaner Production, 291, 125289.

Catacutan, I. N. T., Lee, S. S., Legarda, M. G. P., Abando, D. S., Agustin, V. A., & Sison, A. A. R. C. (2024). BINSIGHT: Waste Sorting Enhanced with Machine Learning and Reward System. 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS), 1–6.

Iliev, D. I., & Marinov, M. B. (2024). Optimizing an Embedded System for e-Waste Object Detection. 2024 XXXIII International Scientific Conference Electronics (ET), 1–6.

Iswanto, R., Sofiyawati, N., Wibowo, Y. R. P., Wirawan, J., Indriati, L., Utomo, P. R., Pratomo, E. R., Saniscara, P., Wardaya, M., & Anggrianto, C. (2025). Desain Berdampak: Strategi Human-Centered Untuk Mewujudkan SDGs. Penerbit Universitas Ciputra.

Kannan, D., Khademolqorani, S., Janatyan, N., & Alavi, S. (2024). Smart Waste Management 4.0: The Transition From A Systematic Review To An Integrated Framework. Waste Management, 174, 1–14.

Masjhoer, J. M. (2025). Konsep Dan Teori: Partisipasi Masyarakat Perdesaan Dalam Pengurangan Sampah. Jussac M Masjhoer.

Moni, J., Jacob, P. M., Pawar, S., Varghese, R. R., Mani, P., & KK, G. (2022). An Intelligent Smart Bin System For Solid Waste Management In Smart Cities. 2022 International Conference on Decision Aid Sciences and Applications (DASA), 1083–1087.

Munawar, Z., Soerjono, H., Komalasari, R., Putri, N. I., Assegaf, M. M., & Fudsyi, M. I. (2025). Pemanfaatan Pengelolaan Sampah Padat Berbasis IoT Untuk Kemandirian Desa. Darma Abdi Karya, 4(1), 39–53.

Nurikah, N., Jazuli, E. R., & Furqon, E. (2022). Tata Kelola Pengelolan Sampah Berdasarkan Undang-Undang Nomor 18 Tahun 2008 Tentang Pengelolaan Sampah Terhadap Pengelolaan Sampah Berbasis Partisipasi Masyarakat Di Kota Serang. Gorontalo Law Review, 5(2), 434–442.

Olawade, D. B., Fapohunda, O., Wada, O. Z., Usman, S. O., Ige, A. O., Ajisafe, O., & Oladapo, B. I. (2024). Smart waste management: A paradigm shift enabled by artificial intelligence. Waste Management Bulletin, 2(2), 244–263.

Puertas, R., Guaita-Martinez, J. M., & Marti, L. (2023). Analysis of the impact of university policies on society’s environmental perception. Socio-Economic Planning Sciences, 88, 101672.

Ramasawmy, K., & Nagowah, S. D. (2023). Smart waste monitoring system using machine learning for IoT-enabled smart green campus. 2023 11th International Conference on Information and Communication Technology (ICoICT), 505–510.

Sirawattananon, C., Muangnak, N., & Pukdee, W. (2021). Designing of IoT-based Smart Waste Sorting System With Image-Based Deep Learning Applications. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 383–387.

Tsonkov, N., & Petrov, K. (2023). Opportunities For IoT-Based Smart Platforms For Intelligent Management Of Waste Systems In Bulgarian Municipalities. 2023 International Conference on Information Technologies (InfoTech), 1–4.

UAI, T. R. (2021). Rencana strategis Universitas Al Azhar Indonesia 2021-2025.

Wirani, Y., Eitiveni, I., & Sucahyo, Y. G. (2024). Framework Of Smart And Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA. Sustainability, 16(12), 4898.

Yusuf, I. O., Ariba, F., Onyemenam, J., Adebanji, B., Adedayo, B., Ijagbemi, A., & Samuel, I. O. (2024). A Smart and Automated Waste Management System. 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), 1–6.

Downloads

Published

2025-12-26

How to Cite

Ananta, A., Wirani, Y. and Sucahyo, Y. G. (2025) “Smart Waste Management Design for Higher Education: Case Study of Al-Azhar University of Indonesia ”, Sebatik, 29(2), pp. 495–504. doi: 10.46984/sebatik.v29i2.2622.

Issue

Vol. 29 No. 2 (2025): December 2025

Section

Articles

License

Copyright (c) 2025 Aditya Ananta, Yekti Wirani, Yudho Giri Sucahyo

Creative Commons License

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

 

Authors retain all their rights to the published works, such as (but not limited to) the following rights; Copyright and other proprietary rights relating to the article, such as patent rights, The right to use the substance of the article in own future works, including lectures and books, The right to reproduce the article for own purposes, The right to self-archive the article