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p-Index From 2021 - 2026
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All Journal Journal of Computer Engineering: Progress, Application and Technology
Muhammad Irfan Al Rasyid
Telkom University
Computer Science & IT

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A Deep Learning for Automatic Waste Sorting System with SSD-MobileNet Algorithm Zulian Wahid; Thasya Mulia; Mohammad Rizky Ramdhan; Wening Alfina Rosunika; Muhammad Irfan Al Rasyid; Rifqi Fadhila Shandi; Meta Kallista; Prasetya Dwi Wibawa
CEPAT Journal of Computer Engineering: Progress, Application and Technology Vol 5 No 02 (2026): November 2026
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cepat.v5i02.8103

Abstract

Efficient and effective waste management in an academic environment is important to maintain cleanliness and environmental sustainability. Waste management carried out within Telkom University still has challenges, such as the lack of proper waste sorting and limited supporting facilities. The main problem of this research is how to develop an automatic waste sorting system that can overcome these obstacles. This research offers a solution by developing an automatic waste sorting system that uses sensor technology and data processing using deep learning to separate waste based on predetermined categories. With deep learning in the waste sorting system, it is expected that waste management will become more efficient and time-saving.
Co-Authors Ig. Prasetya Dwi Wibawa Meta Kallista Mohammad Rizky Ramdhan Rifqi Fadhila Shandi Thasya Mulia Wening Alfina Rosunika Zulian Wahid