The Journal of Information Systems, Communication, and Industrial Technology (JSIKTI) Volume 6, Number 3, March Edition, features a collection of research papers that highlight advancements in machine learning, artificial intelligence (AI), and applied computing. This issue showcases the integration of intelligent algorithms in solving diverse analytical and predictive challenges across economic, agricultural, and service-oriented domains.

The featured articles in this edition include the application of the K-Nearest Neighbors algorithm for wine prediction and classification, Reinforcement Learning for developing trading strategies of Doge Coin, Gradient Boosting Machines for chili price classification, AdaBoost Classifier for evaluating restaurant service quality, and Decision Tree models for predicting USD to IDR exchange rates.

This publication represents a collaborative contribution from five prominent institutions — Okayama University (Japan), National Taiwan University (Taiwan), Institut Bisnis dan Teknologi Indonesia (Indonesia), Deakin University (Australia), and Politeknik Pertanian Negeri Samarinda (Indonesia) — reflecting the journal’s growing international engagement and interdisciplinary research spirit.

Through a combination of innovative methodologies, data-driven experimentation, and applied analysis, this issue strengthens the understanding of how computational intelligence and data science contribute to decision-making, prediction accuracy, and technological innovation. JSIKTI Volume 6, Number 3 continues to uphold its commitment to publishing high-quality research that bridges the domains of information systems, communication, and industrial technology.