Sistem Pengelompokan Jenis Sampah Rumah Tangga untuk Optimalisasi Pengolahan

Fauzan Ishlakhuddin; Fachrul Pralienka Bani Muhamad; Eka Ismantohadi

doi:10.30591/jpit.v10i1.8173

Sistem Pengelompokan Jenis Sampah Rumah Tangga untuk Optimalisasi Pengolahan

Fauzan Ishlakhuddin, Fachrul Pralienka Bani Muhamad, Eka Ismantohadi

Abstract

The increasing volume of household waste in Indonesia has raised the need for efficient waste management solutions. This study developed an Internet of Things (IoT)-based waste classification system aimed at optimizing waste processing. The system integrates digital scales, ESP32 microcontrollers, and cloud-based servers to collect, monitor, and manage waste data in real-time. Using the Prototype Software Development Life Cycle (SDLC) method, the system was designed, implemented, and evaluated iteratively to meet user needs effectively. The system allows users to input waste type, verifies the data with a PIN, and transmits it to a server for centralized management. Testing results demonstrated high accuracy in weight measurements, consistency between devices, and seamless data integration into the system. The IoT-based system not only reduces operational workload but also supports efficient recycling by categorizing waste with economic value. Further research is recommended to expand the system's application to larger communities and explore its integration into broader waste management platforms.

Keywords

digital scale; ESP32; IoT; waste classification; waste management

Full Text:

References

K. L. H. dan Kehutanan, “Laporan Pengelolaan Sampah Nasional 2022,” 2022.

X. Wang and others, “Household Waste Sorting: A Systematic Review,” J Environ Manage, vol. 245, pp. 56–65, 2019, doi: 10.1016/j.jenvman.2019.03.018.

A. Susilo and others, “Efisiensi Sistem Pengelompokan Sampah,” Jurnal Lingkungan Hidup, vol. 8, no. 3, pp. 101–110, 2020.

A. Zainal and others, “Partisipasi Masyarakat dalam Sistem Pengelompokan Sampah,” Jurnal Pengelolaan Lingkungan, vol. 10, no. 1, pp. 45–58, 2021.

“Peraturan Presiden No. 97 Tahun 2017 tentang Kebijakan Nasional Pengelolaan Sampah,” 2017.

J. of the Environment, “Waste Management in Japan,” 2020.

Y. Zhang and others, “IoT-Based Waste Sorting Systems: A Review,” International Journal of Advanced Technology, vol. 12, no. 2, pp. 89–102, 2021, doi: 10.1016/j.ijatech.2021.03.002.

F. Rahman and others, “Pengelolaan Sampah di Wilayah Pedesaan,” Jurnal Teknologi Hijau, vol. 7, no. 2, pp. 23–35, 2020.

A. Firman, Prototyping sebagai Model Pengembangan Software. Penerbit Andi, 2023. [Online]. Available: https://books.google.com/books/about/Prototyping_Sebagai_Model_Pengembangan_S.html?id=fWzKEAAAQBAJ

I. Lee and K. Lee, “The Internet of Things (IoT): Applications, investments, and challenges for enterprises,” Bus Horiz, vol. 58, no. 4, pp. 431–440, 2015, doi: 10.1016/j.bushor.2015.03.008.

J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, Sep. 2013, doi: 10.1016/j.future.2013.01.010.

H. Zhang, Z. Xiao, and X. Ma, “IoT-based intelligent weighing system for industrial applications,” IEEE Internet Things J, vol. 7, no. 5, pp. 4455–4465, 2020, doi: 10.1109/JIOT.2019.2945678.

I. Sosunova and J. Porras, “IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review,” IEEE Access, vol. 10, pp. 73326–73363, 2022, doi: 10.1109/ACCESS.2022.3188308.

J. John and N. N. D. Padmavathi, “IoT-enabled Smart Waste Management System for Smart Cities,” in 2020 IEEE International Conference on Advances in Computing, Communication and Control (ICAC3), 2020, pp. 1–5. doi: 10.1109/ICAC35296.2020.9217162.

Y. Gao Y. Zhou and S. Chen, “A secure IoT authentication mechanism based on PIN verification,” IEEE Trans Industr Inform, vol. 15, no. 6, pp. 3569–3577, 2019, doi: 10.1109/TII.2019.2899327.

P. M. Rad and B. Bekara, “MQTT Security: A Performance Evaluation of TLS and Security Profiles,” in 2018 IEEE Global Communications Conference (GLOBECOM), 2018, pp. 1–7. doi: 10.1109/GLOBECOM.2018.8647741.

S. Mishra and P. Nayak, “IoT-enabled real-time waste management system using cloud computing,” in 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2019, pp. 1–6. doi: 10.1109/ANTS47819.2019.9118033.

A. Gyrard, M. Serrano, and M. J. Song, “A Linked Data Model for IoT Waste Management,” in 2017 IEEE International Conference on Big Data (Big Data), 2017, pp. 3012–3021. doi: 10.1109/BigData.2017.8258276.

DOI: https://doi.org/10.30591/jpit.v10i1.8173