Waste Sorting Machine Automatic of Organic and Inorganic Using Arduino Mega as Microcontroller : Implication for Environmental Sustainability

Bernadeta Wuri Harini; Benediktus Yudha Edy; Agustinus Surya Haryanto; Martanto Martanto; Petrus Setyo Prabowo; Ignatius Adi Prabowo

doi:10.58524/ijhes.v3i2.449

Authors

Bernadeta Wuri Harini Faculty of Science and Technology, Sanata Dharma University
Benediktus Yudha Edy Faculty of Science and Technology, Sanata Dharma University
Agustinus Surya Haryanto Faculty of Science and Technology, Sanata Dharma University
Martanto Martanto Faculty of Science and Technology, Sanata Dharma University
Petrus Setyo Prabowo Faculty of Science and Technology, Sanata Dharma University
Ignatius Adi Prabowo Built Environment and Surveying, Universiti Teknologi Malaysia http://orcid.org/0000-0001-6824-9580

DOI:

https://doi.org/10.58524/ijhes.v3i2.449

Keywords:

dry waste, glass waste, metal waste, plastic waste, sorter, wet waste

Abstract

Increasing waste production worldwide has become a serious environmental and social problem. Waste thrown into traditional landfills can pollute land and water, cause public health problems, and produce greenhouse gas emissions. To overcome the issues above, in this research, a waste sorting machine will be designed that can sort organic and inorganic waste. This sorting is done automatically, a person only needs to put the waste into the machine, and then the waste will be separated according to its category. The organic and inorganic waste sorting system consists of 5 sub-systems. They are metal waste, glass waste, dry waste, plastic waste, and wet waste sorting. The results of this study can produce a success rate of 66.7% in detecting the occupancy of the trash bin, 70% in sorting metal waste, and 44.4% in sorting glass waste. The success rate in sorting wet waste is 40%, while in sorting plastic waste is 70%, and in dry waste is 90%.

References

Adu, R. O., Gyasi, S. F., Essumang, D. K., & Otabil, and K. B. (2020). Medical Waste‐Sorting and Management Practices in Five Hospitals in Ghana. Journal of Environmental and Public Health, 2020.

G. Alvianingsih, T. W. O. P. and D. A. H. (2022). Automatic Garbage Classification System using Arduino-Based Controller and Binary Tree Concept. 11th Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), 215–220.

Kumar, A., & Agrawal, A. (2020). Recent trends in solid waste management status, challenges, and potential for the future Indian cities – A review. Current Research in Environmental Sustainability, 2, 100011. https://doi.org/10.1016/j.crsust.2020.100011

Lange, J. P. (2021). Managing Plastic Waste-Sorting, Recycling, Disposal, and Product Redesign. ACS Sustainable Chemistry and Engineering, 9(47), 15722–15738. https://doi.org/10.1021/acssuschemeng.1c05013

Perdana, A., Rahman, A., & Mekatronika, T. (2023). Penerapan Sistem Pengelolaan Sampah. 16(Iii), 29–37.

Prita, L. C., Lestari, Y. S., Firdaus, F., Hilal, Quthbirrobbaani, & Ningsih, Indah MiaRahmawati, D. (2021). ALAT PEMILAH SAMPAH ORGANIK ANORGANIK DAN LOGAM SECARA OTOMATIS MENGGUNAKAN SENSOR PROXIMITY. Jurnal Indonesia Sosial Teknologi, 2(No. 10 Oktober 2021), 1815–1824.

Puadi, O., & Hambali, H. (2022). Perancangan Alat Pemilah Sampah Otomatis. JTEIN: Jurnal Teknik Elektro Indonesia, 3(1), 1–14. https://doi.org/10.24036/jtein.v3i1.195

Rozaq, A., Arifin, M. Z., & Sujono, S. (2021). Rancang Bangun Manajemen Pemilahan Sampah Logam Dan Non-Logam Otomatis. Saintekbu, 13(01), 56–61. https://doi.org/10.32764/saintekbu.v13i01.2519

Sejati, K. (2009). Pengolahan sampah terpadu. Kanisius.

Setyawan Ajie Sukarno, Bhawana Mulia, S., Salam, A., Yuliadi Erdani, & Kamsudin. (2023). Perancangan Mesin Pemilah Sampah Rumah Tangga Organik dan Anorganik. JTRM (Jurnal Teknologi Dan Rekayasa Manufaktur), 5(2), 129–138. https://doi.org/10.48182/jtrm.v5i1.124

Tonni Agustiono Kurniawan, Christia Meidiana, Mohd Hafiz Dzarfan Othman, Hui Hwang Goh, K. W. C. (2023). Strengthening waste recycling industry in Malang (Indonesia): Lessons from waste management in the era of Industry 4.0. Journal of Cleaner Production, 382(1 January 2023).