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9 results for “Rojali”
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Research ArticleOpen accessIn the author namesAnalysis Quantum Implementation of Double AES Cryptography for Secure QR Code GenerationJimmy Wijaya, RojaliData security faces unprecedented challenges due to the rapid advancement of quantum computing technologies, which threaten to compromise foundational classical cryptographic algorithms. This study investigates the quantum implementation of a Double Advanced Encryption Standard (Double AES) scheme for generating secure, tamper-resistant Quick Response (QR) codes. The research encompasses architectural design, quantum circuit construction, and empirical performance evaluation across encryption/decryption execution … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 571 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers ModelAndika Dwi Asmoro Wicaksono, RojaliThe increasing use of social media has enabled large-scale analysis of user-generated content to monitor mental health trends. This study focuses on sentiment prediction of mental health-related posts on platform X using transformer-based models, specifically IndoBERT, DistilBERT, and IndoRoBERTa. The goal is to evaluate the effectiveness of these models in classifying social media posts into positive, negative, and neutral sentiment … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,851 accessesView PDFCite
Research ArticleOpen accessIn the author namesUnveiling the Performance: A Comparative Study of HMAC and RSA Encryption on SHA-512Louis Leonardo, RojaliThe study evaluates critical operations including token signing, verification, and decoding, as well as data transfer efficiency, utilizing the jsonwebtoken library. By benchmarking these operations, we provide insights into the trade-offs between symmetric (HMAC) and asymmetric (RSA) encryption methods, highlighting their impact on performance and security. The results serve as a guideline for developers to make informed decisions when choosing … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessIn the author namesEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDFCite
Research ArticleOpen accessIn the author namesA High Quality Steganography Method with Twenty Five-Pixel Value DifferencingRojali, Ford Lumban Gaol, Edi Abdurahman, Benfano SoewitoThe fundamental objectives of image steganography algorithm are to simultaneously achieve high payload or embedding capacity, good visual imperceptibility and security. This paper presents a new approach to improve the embedding capacity and provide an imperceptible visual quality, a novel steganography method based on algorithm twenty five pixel value differencing and modified interval table (TFPVD). The cover image is made … …Journal of Computer Science, Vol. 15, Issue 10 · 29 Oct 2019 · 7,344 accessesView PDFCite
Research ArticleOpen accessIn the author namesSTEGANOGRAPHY APPLICATION PROGRAM USING THE ID3V2 IN THE MP3 AUDIO FILE ON MOBILE PHONEAfan Galih Salman, Rojali, Bayu Kanigoro, NayokoThe MPEG Layer-III File or MP3 can contain the ID3v2 tag which able to store information not only the song and singer’s name but also song lyric and alblum cover figure. The steganography technique on audio generally only make use of the main body of the audio file, but has not ever use the part of the ID3v2 to hide … …Journal of Computer Science, Vol. 10, Issue 7 · 21 Feb 2014 · 7,531 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassification of X-Ray Images Using Convolutional Neural Network and Automatic Hyper-Parameter Selection to Detect Tuberculosis (TB)Biswaranjan Debata, Rojalina Priyadarshini, Sudhir Kumar Mohapatra, Tarikwa Tesfa BedaneTuberculosis (TB) is a major public health issue in India, contributing significantly to the global burden of respiratory diseases. This study introduces a Convolutional Neural Network (CNN)--based model for the early and cost-effective detection of TB using chest X-ray images. The proposed model, featuring 13 layers and automated hyperparameter selection, classifies images as infected or not infected. It is evaluated … …Journal of Computer Science, Vol. 21, Issue 2 · 21 Jan 2025 · 6,983 accessesView PDFCite