Archives

  • Desember 2025
    Vol. 2 No. 1 (2025)

    The second issue of Khatulistiwa: Journal of Artificial Intelligence (Vol. 2, No. 1, December 2025) features five research articles focusing on the application of artificial intelligence in healthcare, agriculture, and web-based intelligent systems. The studies explore hybrid optimization, CNN, transfer learning, and deep learning methods for disease classification, as well as the integration of AI models into web platforms, including intelligent e-commerce systems. This issue highlights the practical use of AI in solving real-world problems and serves as a useful reference for researchers and practitioners in applied artificial intelligence.

  • Juni 2025
    Vol. 1 No. 2 (2025)

    The second issue of Khatulistiwa: Journal of Artificial Intelligence (Vol. 1, No. 2, June 2025) presents five cutting-edge research articles that reflect the rapid development and broad application of artificial intelligence (AI) across various strategic fields. These five articles demonstrate the synergy between AI theory and practice in addressing real-world challenges in digital ethics, cybersecurity, environmental management, and biometric verification. This issue serves as a valuable source of knowledge for researchers, practitioners, educators, and policymakers interested in responsible AI innovation.

  • Desember 2024
    Vol. 1 No. 1 (2024)

    The inaugural issue of Khatulistiwa: Journal of Artificial Intelligence (Vol. 1, No. 1, December 2024) presents five cutting-edge research articles highlighting the application of AI across diverse domains. This edition covers topics such as credit card fraud detection using Random Forest and XGBoost, sentiment analysis of hate speech with SVM, a systematic literature review on plant disease identification through deep learning, sentiment analysis of movie reviews using Spark on the IMDB dataset, and corn plant disease detection employing a CNN model with ResNet50 architecture. The selected studies showcase innovative methodologies and practical AI implementations, offering valuable insights for researchers, practitioners, and AI enthusiasts.