Effectiveness of the Innovation of the Waste Segregation System (WSS) at the Student Centre at Polytechnic Melaka

Authors

  • Munirah Abdul Rahim Politeknik Melaka
  • Suzana Wati Binti Adnan Politeknik Melaka

Keywords:

Green Innovations, Renewable Energy, Biogas, Waste-to-Energy, Circular Economy

Abstract

Introduction/Main Objectives: Waste segregation plays a crucial role in supporting sustainability, particularly in busy environments like educational institutions, where waste is generated daily. This study aims to evaluate the effectiveness of the Waste Segregation System (WSS) developed for the Student Centre at Polytechnic Melaka.

Background Problems: The need for efficient waste segregation in high-traffic areas, such as student centers, is critical. Common mistakes in waste separation often occur with traditional recycling bins, leading to contamination of recyclable materials.

Research Methods: The WSS allows users to select the correct waste category by pressing a button, triggering an automatic rotation of the bin to the proper compartment. The system's performance was evaluated based on ease of use, improvement in segregation accuracy, and student response.

Finding/Results: Initial observations indicate that students are more likely to separate waste properly when using the system. This leads to reduced contamination between wet and dry waste, making recyclable materials cleaner and easier to process.

Conclusion: The WSS proves to be a practical and effective solution for improving recycling habits. It has the potential for wider adoption in institutions and public spaces aiming to enhance waste management and sustainability.

References

Bakar, M. A., Md Yusof, Y., Mohd Sam, S., Azizan, A., Ahmad, N. A., Abas, H., & Shafie, N. (2023). Garbage segregation and monitoring using low-cost IoT system for smart waste management. Open International Journal of Informatics, 11(1), 23–40. https://doi.org/10.11113/oiji2023.11n1.249

Die, T. H., & Shabani, H. (2023). Smart dustbin with segregation system and GSM module. Progress in Engineering Application and Technology, 4(1), 230–237. UTHM Publisher

Farhan, A., & Amerrudin, A. S. (2024). Development of smart waste bin with segregation system prototype. Enhanced Knowledge in Sciences and Technology, 4(2), 359–367. UTHM Publisher

Gagnao, M., De Isidro, M. L., Galaura, R., Segobre, J., Gamala, J. M., & Alminaza, R. J. (2025). Smart waste management system using computer vision. Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika, 22(2), 99–107.

Guimaras State University Authors. (2025). Smart waste management system using computer vision. Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika, 22(2), 99–107.

NurFakhira, & Norfaiza Fuad. (2024). Smart recycling bins segregation automatically. Evolution in Electrical and Electronic Engineering, 5(1), 130–138. UTHM Publisher

Norhafiza, S., Masiri, K., Nor Faezah, A., Nurul Nadiah, A. L., & Aslila, A. K. (n.d.). The effectiveness of segregation recyclable materials by automated motorized bin. Journal of Advanced Manufacturing Technology (JAMT).

Patel, N., Mugdum, O., Pawar, T. S., Chaturvedi, D., & Radke, S. S. (2020). Smart garbage bin – A waste management system. Asian Journal for Convergence in Technology (AJCT), 6(3). https://doi.org/10.33130/AJCT.2020v06i03.016

Sim, D., Arshad, H., Tan, S. Y., & Elias, N. F. (2021). The smart waste management system of solid waste management in university campus. Journal of Information System and Technology Management, 6(22), 71–87.

Sigongan, J. B., Sinodlay, H. P., Cuizon, S. X. P., Redondo, J. S., Macapulay, M. G., Bulahan-Undag, C. O., Gumonan, K. M. V. C. (2023). Solar-powered smart garbage segregation bins with SMS notification and machine learning image processing. arXiv preprint.

White, G., Cabrera, C., Palade, A., Li, F., & Clarke, S. (2020). WasteNet: Waste classification at the edge for smart bins. arXiv preprint.

Kure, H. I., Retnakumari, J., Nwajana, A. O., Ismail, U. M., Romo, B. A., & Egho-Promise, E. (2025). Integrating trustworthy artificial intelligence with energy-efficient robotic arms for waste sorting. arXiv preprint.

Ginting, G., & Apnena, R. D. (Year). Smart waste management and recycling based on IoT using machine learning algorithm. Journal of Applied Intelligent System (JAIS). https://doi.org/10.62411/jais.v9i2.10766

Mamat, M. S., & Najib, S. A. M. (2020). Pendidikan amalan kitar semula sisa pepejal kepada masyarakat: Recycling solid waste practices and education to community. GEOGRAFI, 8(1), 3. https://doi.org/10.37134/geografi.vol8.1.3.2020

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Published

21-01-2026

How to Cite

Rahim, M. A., & Adnan, S. W. B. (2026). Effectiveness of the Innovation of the Waste Segregation System (WSS) at the Student Centre at Polytechnic Melaka. Proceeding Economy of Asia International Conference, 2025(1), 27–34. Retrieved from https://conference.asia.ac.id/index.php/ecosia/article/view/181

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