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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Transformatika JAIS (Journal of Applied Intelligent System) Jurnal Ilmiah Dinamika Rekayasa (DINAREK) InComTech: Jurnal Telekomunikasi dan Komputer Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu
Chaerul Umam
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Journal : JAIS (Journal of Applied Intelligent System)

 1 
CNN for Image Identification of Hiragana Based on Pattern Recognition using CNN Chaerul Umam; Andi Danang Krismawan; Rabei Raad Ali
Journal of Applied Intelligent System Vol 6, No 2 (2021): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v6i2.4586

Abstract

Hiragana is one of the letters in Japanese. In this study, CNN (Convolutional Neural Network) method used as identication method, while he preprocessing used thresholding. Then carry out the normalization stage and the filtering stage to remove noise in the image. At the training stage use maxpooling and danse methods as a liaison in the training process, wherea in testing stage using the Adam Optimizer method. Here, we use 1000 images from 50 hiragana characters with a ratio of 950: 50, 950 as training data and 50 data as testing data. Our experiment yield accuracy in 95%.
Upload File Security on the Server Using LSB and Hill Cipher Lekso Budi Handoko; Chaerul Umam; Adelia Syifa Anindita
Journal of Applied Intelligent System Vol 4, No 1 (2019): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v4i1.2331

Abstract

The rapid development of technology not only has a positive impact, but also can have a negative impact such as the development of cyber crime that can cause messages to be unsafe. Message security can be protected using cryptography to convert messages into secret passwords. Steganography is a technique of hiding messages by inserting messages into images that are used to increase message security. In this study, it discusses a combination of hill cipher and LSB algorithms to secure messages. The message used is a 3-bit grayscale image for steganography and text messages with 32, 64 and 128 characters for cryptography. The measuring instruments used in this study are MSE, PSNR, Entropy and travel time (CPU time). Test results prove an increase in security without too damaging the image. This is evidenced by the results of the MSE trial which has a value far below the value 1, the PSNR is> 65 dB with a range of entropy values of 5 to 7, and travel times are almost the same.
Co-Authors Adelia Syifa Anindita Alzami, Farrikh Andi Danang Krismawan Christy Atika Sari Daffa Fadillah De Rosal Ignatius Moses Setiadi Eko Hari Rachmawanto Fikri Firdaus Tananto Ghulam Maulana Rizqi Hasan Aminda Syafrudin L. Budi Handoko Lucky Arif Rahman Hakim Mira Nabila Muslih Muslih Rabei Raad Ali Rama Aria Megantara Sinaga, Daurat