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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah KOMPUTASI Jurnal Mantik Jurnal Info Sains : Informatika dan Sains Jurnal Ilmiah Teknik (JUIT) Jurnal Teknik dan Science (JTS) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Fauziah
Fakultas Ilmu Komputer Dan Teknologi Informasi,Universitas Gunadarma
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : Jurnal Mantik

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Identification of Pepper Image Using Convolutional Neural Network (CNN) Deep Learning Method Fauziah Fauziah
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The Convolutional Neural Network (CNN) method is one of the Deep Learning methods that is currently being developed. The Convolutional Neural Network (CNN) method is one of the Deep Learning methods that is currently being developed. The purpose of this study is to identify the pepper image by applying the Convolutional Neural Network (CNN) Deep Learning method. There are several stages in this technique, the first stage is to prepare the required pepper image data set. The next stage is the preprocessing and sorting of pepper images. Then, the formation of models and system training, the last is to do for system testing. This research uses CNN to recognize pepper images and determine the accuracy value. In this study, 19 pepper images were used as testing data from 76 pepper images used in the training dataset. Pepper testing produces an average value of data testing accuracy of 0, 97756064.
Co-Authors Anis Humanisa Ariyanto Ariyanto Ary Bima Kurniawan Bayu Kumoro Yakti Bayu Yakti Dina Agusten Meta Meysawati Muhammad Subali Nur Sultan Salahuddin Raden Roro Sri Poernomo Sari Ragiel Hadi Prayitno Supriyono