IMPLEMENTASI SISTEM DETEKSI BATU PERMATA MENGGUNAKAN YOLOV7 (STUDI KASUS: TOKO MAGIC CRYSTALS)

  • Nona Alya Windyani
    Universitas Singaperbangsa Karawang
DOI: https://doi.org/10.23960/jitet.v14i2.9546
Keywords YOLOv7, Deteksi Objek, Deep Learning, Batu Permata, Flutter, Roboflow API
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Abstract

Dengan tingginya minat konsumen terhadap batu permata di Toko Magic Crystals, didukung oleh katalog batu permata yang luas, mengungkapkan tantangan baru dalam layanan pelanggan. Berdasarkan survei yang dilakukan pada 161 pelanggan, terdapat 85,1% pelanggan mengalami kesulitan dalam mengingat nama batu permata yang telah dibeli, yang menunjukkan kebutuhan akan solusi teknologi untuk mempermudah identifikasi batu permata secara efisien. Hasil pelatihan menunjukkan bahwa model YOLOv7 memiliki performa tinggi dengan nilai rata-rata precision (mAP) sebesar 96,6%, precision sebesar 94,9%, dan recall sebesar 95,5%. Sistem ini diintegrasikan dengan aplikasi mobile berbasis Flutter untuk memproses deteksi secara real-time dengan latensi rendah menggunakan inferensi berbasis cloud. Penelitian ini berhasil membuktikan bahwa YOLOv7 dapat diterapkan secara efektif dalam konteks identifikasi batu permata, serta memberikan solusi praktis bagi industri perhiasan untuk mengoptimalkan efisiensi operasional.

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Published
2026-04-29
How to Cite
Windyani, N. A. (2026). IMPLEMENTASI SISTEM DETEKSI BATU PERMATA MENGGUNAKAN YOLOV7 (STUDI KASUS: TOKO MAGIC CRYSTALS). Jurnal Informatika Dan Teknik Elektro Terapan, 14(2). https://doi.org/10.23960/jitet.v14i2.9546
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