Journal of Information Technology Literacy

This issue presents five research articles that highlight recent developments in artificial intelligence, machine learning, computer vision, and information systems to address various practical challenges in digital technology and smart systems.

The first article analyzes the comparative performance of Gemini AI and Blackbox AI responses using the blackbox testing method, providing insights into the reliability and behavior of modern AI-based systems in responding to user queries. The second paper proposes an Android-based application for detecting the authenticity of Indonesian Rupiah banknotes using the YOLOv11 object detection model, demonstrating the potential of computer vision in financial security applications.

The third article explores investment portfolio management by applying the Long Short-Term Memory (LSTM) model to analyze stock performance in Indonesia’s strategic sectors, with portfolio performance evaluated using the Sharpe Ratio and Mean-Variance approach. The fourth study focuses on the classification of meme polarity using deep learning and clustering techniques combined with sarcasm text detection to better understand sentiment patterns in social media content.

The final article presents the development of a water meter reading information system using ESP32-CAM integrated with Optical Character Recognition (OCR) technology to automate the process of reading and recording water consumption data.

Overall, the articles in this issue reflect interdisciplinary research contributions in artificial intelligence, financial technology, computer vision, natural language processing, and Internet of Things (IoT), emphasizing the growing role of intelligent systems in solving real-world problems and supporting digital transformation across various sectors.