Archives

  • JISTICS, November 2025
    Vol. 1 No. 3 (2025)

    This issue is for the regular issue of November 2025. All articles in this issue (5 original research articles) were authored/co-authored by 10 authors. This issue features a collection of research articles focusing on the application of machine learning and deep learning in various domains. Topics include sentiment annotation in education systems, skin tone classification for cosmetics, customer opinion clustering in e-commerce, thyroid disease risk classification using XGBoost, and pneumonia detection from chest X-ray images using CNN. The studies demonstrate innovative use of AI techniques in healthcare, retail, and education.

  • JISTICS, July 2025
    Vol. 1 No. 2 (2025)

    This issue is for the regular issue of July 2025. All articles in this issue (5 original research articles) were authored/co-authored by 11 authors. The topics covered include sentiment analysis using advanced techniques such as Deepseek AI and Naïve Bayes, the development of MyCare AI: a dual-AI mental health chatbot, comparative studies of CNN and Transformer architectures for Sundanese script classification, as well as deep learning applications in agriculture, including Plantix review analysis and fruit image classification with EfficientNet. This issue highlights the growing role of artificial intelligence, machine learning, and computer vision in addressing real-world challenges across health, education, language, and agriculture.

  • JISTICS, March 2025
    Vol. 1 No. 1 (2025)

    This issue is for the regular issue of March 2025. All articles in this issue (5 original research articles) were authored/co-authored by 10 authors. The topics focus on image classification using deep learning techniques, including CNN, MobileNet, ResNet, EfficientNet, and Vision Transformer. The articles cover various applications such as Indonesian sign language recognition, gender identification from facial images, grape leaf disease detection, traffic density estimation, and brain tumor classification. These studies demonstrate the growing role of AI in solving real-world problems across the health, agriculture, and transportation sectors.