Klasifikasi Pisang Berbasis Algoritma VGG16 Melalui Metode CNN Deep Learning
نویسندگان
چکیده
Pisang cavendish banyak dikonsumsi di Indonesia dan berpotensi menjadi komoditas utama Indonesia. Namun, proses pemilihan kualitas pisang masih yang dilakukan secara tradisional. Hal ini penghambat dalam utama. Klasifikasi mutu modern dapat untuk memperbaiki seleksi meningkatkan penjualan sektor pertanian. Peningkatan sector pertanian akan menjadikan sebagai ekonomi Metode deep learning yaitu CNN dengan model VGG16 diimplementasikan solusi dari permasalahan tersebut. Peneliti mencoba menggunakan berbagai jumlah epoch mendapatkan hasil evaluasi terbaik. Variabel dibagi 5 total kumpulan data gambar adalah 550. Kumpulan juga latihan tes persentase 70%: 30%. Hasil eksperimen menunjukkan performa terbaik pada 50 akurasi train 98.96% test 83.53%. Model disimpan digunakan oleh para pelaku industri
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ژورنال
عنوان ژورنال: INFORMASI
سال: 2023
ISSN: ['0126-0650', '2502-3837']
DOI: https://doi.org/10.37424/informasi.v15i1.190