The Journal of Information Systems, Communication, and Industrial Technology (JSIKTI) Volume 7, Number 4, June Edition, presents a diverse selection of research articles that focus on the application of data science, artificial intelligence (AI), and computational modeling across various real-world domains. This issue emphasizes the role of intelligent algorithms and data-driven analysis in addressing complex challenges in tourism forecasting, restaurant service prediction, and agricultural product classification.

The featured papers in this volume explore topics such as time series analysis for predicting tourist arrivals, neural network modeling for dining experience prediction, and comparative studies between ResNet CNN and Vision Transformer (ViT) models for image-based quality classification of dried Moringa leaves. Additionally, this edition includes studies on binary classification models for financial trend analysis, demonstrating the wide-ranging applicability of AI and machine learning in both economic and industrial contexts.

Through a combination of methodological rigor, innovative experimentation, and applied research, this edition contributes to advancing the understanding of how computational intelligence supports decision-making, optimization, and predictive accuracy across multiple sectors. JSIKTI Volume 7 Number 4 reaffirms the journal’s commitment to disseminating high-quality research that bridges the gap between information systems, data communication, and industrial technology innovation.