The Journal of Information Systems, Communication, and Industrial Technology (JSIKTI) Volume 6, Number 4 (June 2024 Edition) presents a collection of scholarly articles focusing on the application of artificial intelligence, machine learning, and data analysis across various practical domains.

This issue features research contributions from three institutions: Institut Bisnis dan Teknologi Indonesia (INSTIKI), Politeknik Pertanian Negeri Samarinda, and Okayama University (Japan). Together, they provide interdisciplinary insights into modern information systems, data science, and predictive technology development.

The featured papers explore the implementation of advanced learning algorithms such as LightGBM, Prophet, K-Nearest Neighbors, XGBoost, and Random Forest, applied to diverse contexts — including digital market behavior analysis, currency exchange rate forecasting, customer feedback classification, and data-driven product quality assessment.

This edition highlights the importance of academic collaboration across institutions and countries, emphasizing the role of intelligent and data-driven models in supporting digital transformation, industrial innovation, and evidence-based decision-making in various sectors.