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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Building of Informatics, Technology and Science International Journal Software Engineering and Computer Science (IJSECS)
Lubis, Ahmadi Irmansyah
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Computer Science & IT

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Journal : Building of Informatics, Technology and Science

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Penerapan Neural Network Dalam Klasifikasi Citra Permainan Batu Kertas Gunting dengan Probabilistic Neural Network Siregar, Siti Julianita; Lubis, Ahmadi Irmansyah; Ginting, Erika Fahmi
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.519 KB) | DOI: 10.47065/bits.v3i3.1143

Abstract

In this research, an image classification model was developed to distinguish hand objects pointing at rock, paper, and scissors using one of the popular image classification methods, namely the Probabilistic Neural Network. Probabilistic Neural Network is a method in an artificial neural network that is used to classify a category based on the results of calculating the distance between the density function and the probability. PNN has 4 stages of processing, namely Input Layer, Pattern Layer, Summation Layer, and Output Layer. Tests in the study were carried out with a total of 60 testing data from three object classes from the dataset. Then the results of the classification of Batu, Scissors, and Paper hand images using the application of the PNN algorithm in this research test obtained an average accuracy value of 90%
Co-Authors Ardi, Noper Dzulfiqar, Mohamad Alif Ginting, Erika Fahmi Ikhwan Ash Shafa Arrafi Judijanto, Loso Legito Lumban Gaol, Nur Yanti Mulyadi Mulyadi Nova, Muhammad Andi Rini Nuraini, Rini Rudy Chandra Siregar, Siti Julianita SUSI LESTARI Zaimah, Zaimah