Sorting Machine of Ecopaving Materials Based on Digital Image Processing
Keywords:
Sorting machine, Digital image processing, Ecopaving, Convolutional Neural Network, ArduinoAbstract
This final project focuses on the design and development of a prototype waste sorting machine with the goal of aiding the production of ecopaving by sorting plastic waste through digital image processing techniques. The main objective of this research is to address the environmental issues caused by household plastic waste, which has become a significant global challenge, especially in Indonesia. The proposed system uses a conveyor belt mechanism and integrates digital image processing programmed with Python, utilizing a Convolutional Neural Network (CNN) model for image classification. The prototype sorts waste into three categories: plastic, glass, and metal, using a webcam for detection and a servo motor to push the sorted materials. The automation of this system aims to improve efficiency and accuracy in the sorting process, reduce reliance on manual labor, and minimize processing time. This approach not only contributes to waste management but also promotes the recycling of plastic waste into valuable products such as ecopaving, in line with the 3R principle (Reduce, Reuse, Recycle). This final project is expected to provide an effective and efficient solution in reducing waste so that it can be more useful rather than just environmental waste
Downloads
References
[1] N. K. H. S. Yuniantari, I. K. Aryana, and I. W. Jana, “Hubungan Tingkat Pengetahuan Dan Pekerjaan Kepala Keluarga Dengan Tingkat Partisipasi Dalam Pelaksanaan Program Bank Sampah,” Repos. Poltekkes Depansar, vol. 12, no. 1, pp. 7–16, 2022.
[2] A. Zumira and H. K. Surtikanti, “Solusi pengelolaan sampah plastik: pembuatan ecobrick di kelurahan agrowisata, Kota Pekanbaru, Provinsi Riau,” EcoProfit Sustain. Environ. Bus., vol. 1, no. 1, pp. 48–58, 2023
[3] R. Alfita, K. A. Wibisono, and M. W. Anwar, “Rancang Bangun Alat Pemilah Sampah Organik dan Anorganik,” J. Zetroem, vol. 03, no. 01, pp. 01–08, 2021.
[4] S. D. Meyrena and R. Amelia, “Analisis Pendayagunaan Limbah Plastik Menjadi Ecopaving Sebagai Upaya Pengurangan Sampah,” Indones. J. Conserv., vol. 9, no. 2, pp. 96–100, 2020.
[5] M. W. Rahman, R. Islam, A. Hasan, N. I. Bithi, M. M. Hasan and M. M. Rahman, "Intelligent waste management system using deep learning with IoT", J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 5, pp. 2072-2087, 2022.
[6] M. G. Mallikarjuna, S. Yadav, A. Shanmugam, V. Hima and N. Suresh, "Waste Classification and Segregation: Machine Learning and IOT Approach", Proc. 2021 2nd Int. Conf. Intell. Eng. Manag. ICIEM 2021, pp. 233-238, 2021.
[7] S. Ratna, “Pengolahan Citra Digital Dan Histogram Dengan Phyton Dan Text Editor Phycharm,” Technol. J. Ilm., vol. 11, no. 3, p. 181, 2020.
[8] B. Mahesh, “Machine Learning Algorithms - A Review,” Int. J. Sci. Res., vol. 9, no. 1, pp. 381–386, 2020.
[9] P. Hewagamage, A. Mihiranga, D. Perera, R. Fernando, T. Thilakarathna and D. Kasthurirathna, "Computer-Vision Enabled Waste Management System for Green Environment", ICAC 2021 - 3rd Int. Conf. Adv. Comput. Proc, pp. 276-281, 2021.
[10] F. A. Azis, H. Suhaimi and E. Abas, "Waste Classification using Convolutional Neural Network", ACM Int. Conf. Proceeding, pp. 9-13, 2020.
[11] A. A. Santosa, R. Y. N. Fu’adah, and S. Rizal, “Deteksi Penyakit pada Tanaman Padi Menggunakan Pengolahan Citra Digital dengan Metode Convolutional Neural Network,” J. Electr. Syst. Control Eng., vol. 6, no. 2, pp. 98–108, 2023, doi: 10.31289/jesce.v6i2.7930.
[12] D. O. Alvira and R. M. Fajri, “Klasifikasi Lapisan Lilin pada Buah Apel Menggunakan Pengolahan Citra Digital dengan Metode Convolutional Neural Network,” J. Intell. Networks IoT Glob., vol. 1, no. 2, pp. 92–97, 2023.
[13] M. M. Hossen et al., "A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification", IEEE Access, vol. 12, no. January, pp. 13809-13821, 2024.
[14] Setyawan Ajie Sukarno, S. Bhawana Mulia, A. Salam, Yuliadi Erdani, and Kamsudin, “Perancangan Mesin Pemilah Sampah Rumah Tangga Organik dan Anorganik,” JTRM (Jurnal Teknol. dan Rekayasa Manufaktur), vol. 5, no. 2, pp. 129–138, 2023.
[15] S. Sudarno, “Pemanfaatan Limbah Plastik Untuk Pembuatan Paving block,” J. Tek. Sipil Terap., vol. 3, no. 2, p. 101, 2021.
[16] Andri Tri Setiawan, “Rancang Bangun Bel Sekolah Otomatis Menggunakan Mikrokontroler Arduino Mega Dengan Antarmuka Berbasis Web,” Prosiding, vol. 2, no., pp. 68–80, 2022.
