Sistem Pengenalan Buah menggunakan Metode Artificial Neural Network BackPropagation Studi Kasus: Mangga Gedong Gincu
DOI:
https://doi.org/10.26418/justin.v11i4.68234Keywords:
Pengenalan Buah, Back Propagation Neural Network, Mangga Gedong Gincu, Klasifikasi ManggaAbstract
Kebutuhan akan buah yang segar menjadi hal yang penting bagi manusia untuk mendapatkan makanan yang sehat. Seringkali kita tidak mengetahui cara membedakan buah yang sudah matang atau belum. Bahkan tidak semua penjual buah mengetahui perbedaan itu secara pasti. Berdasarkan permasalahan akan kebutuhan ini, penelitian ini dibuat untuk memudahkan seseorang untuk membedakan buah yang sudah matang dan belum, selain itu lebih lanjut penelitian ini juga membedakan buah yang ukurannya normal ataupun tidak normal (terlalu kecil atau terlalu besar). Untuk pengenalan buah ini, penelitian ini menggunakan BackPropagation Neural Network untuk machine learning nya dan menggunakan aspek RGB dan ukuran mangga sebagai data training. Hasil yang didapatkan dari metode ini adalah akurasi sebesar 83% dari 6 data set testing dengan 1 data testing mendapatkan hasil prediksi yang salah.
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