DESIGN AND DEVELOPMENT OF A PLASTIC BOTTLE AND METAL WASTE SORTER WITH REWARD EXCHANGE COINS

Muhammad Alfillah; Yussa Ananda

doi:10.58432/v3a48k49

Authors

Muhammad Alfillah Universitas Harapan Medan Author
Yussa Ananda Universitas Harapan Medan Author

DOI:

https://doi.org/10.58432/v3a48k49

Keywords:

automatic waste sorter, ESP32, Infrared sensor,, inductive proximity sensor, Digital Coupon

Abstract

Waste management is a critical issue that requares innovative solutions, particulary in the sorting of waste at its source. This study present the design and development of an automatic waste sorting device based on the ESP32 microcontroller, capable of distinguishing between metalic and non-metallic (plastic) waste. The system utilizes two main types of sensors for object detection and the inductive proximity sensor for identifying metalic materials. The MG90S servo motor is used to direct waste to the apporiate path,. In addition to its physical operation, the device in addition to its physical operation, the device is equipped with IoT-bassed connectivity, enablingreal-time data transmission of waste types and quantities to a web platfor. The system is integrated with RFID technology to allow users to earn digital coupons as a reward, which can be exchanged for prizes. This solution aims to encourage public participation in waste sorting and support systematic and integrated recycling efforts.

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References

Akbar, M., Devi, S., & Diah, K. (2021). Rancang Bangun Alat Pendeteksi Sampah Organik dan Anorganik Menggunakan Sensor Proximity dan NodeMCU ESP8266. 7(2), 290–299.

Budiman, M. J., Pongoh, D. S., & Lambonan, O. (2025). Design and Development of a Vending Machine for Plastic Bottle Waste. International Journal of Computer Applications, 186(60). https://doi.org/10.5120/ijca2024924183

Herry Syaifullah, Indra Setiawan, Albertus Aan Dian Nugroho, Dinda Lutfiah, Dwima Septiar Priambada, & Arka Baswara Bimo Sakti. (2026). Crusher machine design for plastic bottle cap waste recycling process to support sustainability. TEKNOSAINS : Jurnal Sains, Teknologi Dan Informatika, 13(1). https://doi.org/10.37373/tekno.v13i1.1860

Kombe, G. G. (2025). A sustainable approach for road pothole repair using waste plastic bottles and aggregates. Frontiers in Engineering and Built Environment, 5(1). https://doi.org/10.1108/FEBE-05-2024-0020

Meraj, M., Ku, P. X., Choo, H. L., & Aung, P. P. (2024). Design and Development of an Automated PET Plastic Bottle 3D Printer Filament Making Machine. Journal of Physics: Conference Series, 2923(1). https://doi.org/10.1088/1742-6596/2923/1/012005

Rajabi-Kafshgar, A., Seyedi, I., & Tirkolaee, E. B. (2025). Circular closed-loop supply chain network design considering 3D printing and PET bottle waste. Environment, Development and Sustainability, 27(8). https://doi.org/10.1007/s10668-024-04767-3

Rianmora, S., Punsawat, P., Yutisayanuwat, C., & Tongtan, Y. (2023). Design for an Intelligent Waste Classifying System: A Case Study of Plastic Bottles. IEEE Access, 11. https://doi.org/10.1109/ACCESS.2023.3274862

Romero, Oscar Jr. O, Deromol, James Arryl E, Dula, Jamelah A, Justoba, Gale G, Lumansoc, Kristine Jane I, Tabanao, Neil Harvey B, & Villar, Keith Icen A. (2026). Design and Development of a Plastic Bottle-Activated Fan Prototype. International Journal of Latest Technology in Engineering Management & Applied Science, 15(5). https://doi.org/10.51583/ijltemas.2026.150500163

Xie, S., Wu, H., Mao, W., Chu, X., Meng, Y., & Yang, X. (2025). Study on efficient recognition and accurate localization method of waste plastic bottles based on deep learning. Ecological Informatics, 86. https://doi.org/10.1016/j.ecoinf.2025.103020

Yasiri, J. R., Prathivi, R., & Susanto, S. (2025). Detection of Plastic Bottle Waste Using YOLO Version 5 Algorithm. Sinkron, 9(1). https://doi.org/10.33395/sinkron.v9i1.14242