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All Journal KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Hizkia Natanael Rusli
Institut Teknologi dan Bisnis Kalbis
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Journal : KALBISIANA Jurnal Sains, Bisnis dan Teknologi

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Pengembangan Aplikasi Klasifikasi Tingkat Kematangan Buah Apel Berdasarkan Warna Kulit Buah Apel dengan Metode Convolutional Neural Network Hizkia Natanael Rusli
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 2 (2024): Kalbisiana
Publisher : UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbisiana.v10i2.652

Abstract

This study aims to develop an image classification application for the ripeness level of apples using the Convolutional Neural Network method to group image data so that it can assist in determining the ripeness of apples. The dataset used is an image of unripe, ripe, and rotten apples. The data will be trained to obtain accuracy to determine the level of ripeness of apples. In this study, the accuracy was 96% for 20 epochs and 98% for 40 epochs.
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