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All Journal Jurnal Ilmiah Teknik (JUIT)
Antonius Angga Kurniawan
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Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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KLASIFIKASI CITRA DIGITAL TULISAN TANGAN ANGKA MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Antonius Angga Kurniawan; Rama Dian Syah; Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 1 No. 1 (2022): Januari : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v1i1.1718

Abstract

Rapid technological advances have led to the development of computer vision science in various fields. This research aims to detect handwriting using deep learning technology with the Convolutional Neural Network (CNN) method. The research stages are data sample selection, data preprocessing, data training, data testing, and evaluation of results. This research succeeded in detecting handwriting with an accuracy value of 0.9800 and a loss value of 0.0665. There are several classification errors because images with numbers are less clear and almost look like numbers that they should not be. The more training data, the more the network will learn so that the accuracy will be better.
APLIKASI ENKRIPSI CITRA DIGITAL BERBASIS CHAOS MENGGUNAKAN ALGORITMA ARNOLD’S CAT MAP Rama Dian Syah; Antonius Angga Kurniawan; Rizki Ariyani
Jurnal Ilmiah Teknik Vol. 1 No. 2 (2022): Mei : Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v1i2.1719

Abstract

The rapid development of technology can lead to vulnerabilities in data and information. Everyone can access that data and information and disseminate it easily through the internet. The data and information can be in the form of text, video, audio, and images that may be confidential. To prevent misuse and unauthorized access to this confidential data and information, a technique is needed to enhance the security of the data. One of these techniques is by encrypting data. This technique is used to encode data in such a way that the security of the information is maintained and it cannot be read without being decrypted first. The encryption technique that has been developed involves implementing chaos theory, one of which uses the Arnold’s Cat Map algorithm. This algorithm is applied in the process of encrypting and decrypting digital images with png and bmp extensions. The results of this trial show that the image files can be encrypted and decrypted properly. The time obtained is directly proportional to the size of the image.
Co-Authors Rama Dian Syah Rizki Ariyani