Published: 2025-01-01

Aplikasi Android untuk Rekomendasi Pemilihan Buah Anggur Hijau Menggunakan VGG16

DOI: 10.35870/jtik.v9i1.3152

Nathanael Ferdian Putra Setyawan, Fauzan Nusyura, Ardian Yusuf Wicaksono, Farah Zakiyah Rahmanti
  • Nathanael Ferdian Putra Setyawan: Affiliation name not available , Universitas Telkom , Indonesia
  • Fauzan Nusyura: Airlangga University , Indonesia . image/svg+xml
  • Ardian Yusuf Wicaksono: Affiliation name not available , Universitas Telkom , Indonesia
  • Farah Zakiyah Rahmanti: Affiliation name not available , Universitas Telkom , Indonesia
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Abstract

This study focuses on developing an Android-based recommender system using convolutional neural networks (CNNs) to select high-quality grapes. The main objective of this study is to compare the performance of two popular CNN architectures, VGG16 and ResNet18, in classifying the quality of sour grapes. The subjective and time-consuming nature of conventional methods prompted us to search for a more efficient solution.The dataset used consists of 282 images of green grapes. The evaluation results show that the VGG16 model achieves 93% accuracy in classifying grape quality, outperforming the ResNet18 model with only 82% accuracy. These results indicate that the VGG16 architecture is more suitable for this classification task. The development of this system is expected to contribute to smart agricultural automation to improve efficiency and support the food industry.

Keywords

Deep Learning ; Convolutional Neural Network ; VGG16 ; ResNet ; Android

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How to Cite

Setyawan, N. F. P., Nusyura, F., Wicaksono, A. Y., & Rahmanti, F. Z. (2025). Aplikasi Android untuk Rekomendasi Pemilihan Buah Anggur Hijau Menggunakan VGG16. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(1), 263-269. https://doi.org/10.35870/jtik.v9i1.3152
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 1 (2025)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2025

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Author Biographies
Nathanael Ferdian Putra Setyawan
Google Scholar ResearchGate ORCID

Program Studi Teknologi Informasi, Fakultas Informatika, Universitas Telkom, Kota Bandung, Provinsi Jawa Barat, Indonesia.

Fauzan Nusyura
Google Scholar ResearchGate ORCID

Program Studi Teknik Robotika dan Kecerdasan Buatan, Fakultas Teknologi Maju dan Multidisiplin, Universitas Airlangga, Kota Surabaya, Provinsi Jawa Timur, Indonesia.

Ardian Yusuf Wicaksono
Google Scholar ResearchGate ORCID

Program Studi Informatika, Fakultas Informatika, Universitas Telkom, Kota Bandung, Provinsi Jawa Barat, Indonesia.

Farah Zakiyah Rahmanti
Google Scholar ResearchGate ORCID

Program Studi Teknologi Informasi, Fakultas Informatika, Universitas Telkom, Kota Bandung, Provinsi Jawa Barat, Indonesia.

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