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All Journal Jurnal Informatika Universitas Pamulang Technologia: Jurnal Ilmiah Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Computer Science and Information Technology (CoSciTech)
Purnomo, Indu Indah
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Public Health

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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

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Klasifikasi Buah dan Sayuran Multi-Label Menggunakan CNN: Mengatasi Class Imbalance dengan Focal Loss Syafarina, Gita Ayu; Purnomo, Indu Indah; Hasbi, Muhammad
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10116

Abstract

Investigates the effectiveness of Focal Loss as a solution to the problem of class imbalance in multi-label fruit and vegetable classification tasks. Using a ResNet50-based Convolutional Neural Network (CNN) architecture, two models were trained and evaluated: one using Focal Loss and another using Binary Cross-Entropy (BCE) Loss as a baseline. To address the availability of multi-label datasets, a synthetic multi-label dataset was created by combining images from existing single-label datasets. Experimental results show that the model trained with Focal Loss achieved an accuracy of 0.9390 and an F1-score of 0.9863, outperforming the BCE Loss model which only reached an accuracy of 0.8850 and an F1-score of 0.9718. The comparative analysis indicates that Focal Loss, with its ability to focus the training process on difficult examples, effectively addresses class imbalance and produces superior performance. This study concludes that Focal Loss is an effective tool for multi-label classification tasks and highlights the existing limitations, including the synthetic nature of the dataset and the limited training duration, which underscore the need for further research
Co-Authors Achmad Rizal Agus Setiawan Andie, Andie Habibullah, Akhmad Hijriana, Nadya MUHAMMAD HASBI Rahman, Fauzi Yusa Rahman, Muhammad Wafi Ramadhani, Budi Rosyadi, M. Dedy Setiawan, Kholik Syafarina, Gita Ayu Wathani, M. Rais Zaenuddin Zaenuddin, Zaenuddin