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All Journal JFA (Jurnal Fisika dan Aplikasinya)
Andani, Putri
PS Fisika, FMIPA, Universitas Mataram, Mataram, NTB, Indonesia
Physics

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Waste Classification Model Optimization with Modified MobileNetV3 for Efficient Waste Management Andani, Putri; Illahi, Ramadian Ridho; Sudiarta, I Wayan; Marzuki, Marzuki; Budianto, Arif
Jurnal Fisika dan Aplikasinya Vol 21, No 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v21i2.20876

Abstract

The increase in population and economic activity has a significant impact on the amount of waste. Data in 2023 states that waste in Indonesia still cannot be managed properly.  One solution to overcome this problem is through recycling with waste sorting as a crucial stage. This research develops a waste classification model using modified MobileNetV3S. The classification process is performed using Convolutional Neural Network (CNN) method and parameter fine-tuning. This model is able to classify five different categories of waste, namely plastic bottles, leaves, plastic sheets, paper, and metal. The results show that the validation accuracy reaches 96.2% with a loss value of 0.049. These results can significantly contribute to better and sustainable waste management efforts.
Co-Authors Budianto, Arif Illahi, Ramadian Ridho Marzuki, Marzuki Sudiarta, I Wayan