Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi

Yazid Fauzan Nur Ashfani ; Yovi Litanianda ; Rizqy Amalia Putri
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan In... 📅 2024 Vol 2, No 2 🔗 DOI: 10.61132/uranus.v2i2.129
Abstract
This study analyzes the use of deep learning, primarily Convolutional Neural Networks (CNN), to categorize various types of citrus fruits. The study attempts to create an automated system that can accurately categorize citrus fruit kinds using image processing techniques. The collection contains 40 photos of four different citrus fruit types: pomelo, mandarin orange, kaffir lime, and lime. The methodology entails gathering photos, preprocessing them to improve quality, and then training a CNN model to classify the fruit varieties. The results show a high accuracy rate of 95% in classifying fruit types, demonstrating that the CNN model is effective for this task. The findings indicate that increasing the dataset and including other fruit species could significantly boost the system's accuracy.
Keywords
Citrus fruit classification; Convolutional Neural. Networks; image processing deep learning; automated system
How to Cite

Yazid Fauzan Nur Ashfani, et al. (2024). Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi. Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika, 2(2). https://doi.org/10.61132/uranus.v2i2.129

Yazid Fauzan Nur Ashfani; Yovi Litanianda; Rizqy Amalia Putri, "Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi," Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika, vol. 2, no. 2, 2024.

Yazid Fauzan Nur Ashfani; Yovi Litanianda; Rizqy Amalia Putri. "Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi." Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika, vol. 2, no. 2, 2024.

Yazid Fauzan Nur Ashfani; Yovi Litanianda; Rizqy Amalia Putri. "Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi." Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika 2, no. 2 (2024).

Yazid Fauzan Nur Ashfani, et al. (2024) 'Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi', Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika, 2(2). doi: 10.61132/uranus.v2i2.129.

Yazid Fauzan Nur Ashfani; Yovi Litanianda; Rizqy Amalia Putri. Klasifikasi Jenis Buah Jeruk Menggunakan Metode Convolutional Neural Network: Deep Learning Studi. Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika. 2024;2(2).

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