JADE: Journal of AI, Data & Engineering is a peer-reviewed scientific journal publishing original research, review articles, and case studies in the fields of artificial intelligence, data science, and computing engineering. The journal emphasizes verifiable scientific contributions, clear and reproducible methodologies, and relevance to technological advancement and real-world problem solving. JADE accepts manuscripts in both Indonesian and English, and welcomes academics, researchers, and practitioners from Indonesia and across the globe.

The scope of JADE: Journal of AI, Data & Engineering is organized into three core pillars that reflect the journal's identity:

Pillar 1 — Artificial Intelligence

• Machine Learning and Deep Learning
• Explainable Artificial Intelligence (XAI) and Intelligent Systems
• Natural Language Processing (NLP) and Text Mining
• Computer Vision and Image Processing
• Intelligent Decision Support Systems and Optimization
• Pattern Recognition and Predictive Systems

Pillar 2 — Data

• Data Science and Data Mining
• Big Data Analytics and Business Intelligence
• Knowledge Discovery and Predictive Analytics
• Data Engineering and Data Governance
• Data Visualization and Applied Analytics

Pillar 3 — Engineering

• Software Engineering and Development, including methodologies, software quality, and testing
• Information Systems, IT Governance, Enterprise Resource Planning (ERP), and E-Government
• Information Technology Risk Audit and Governance
• Computer Networks, Infrastructure, and Cybersecurity
• Human–Computer Interaction (HCI), Digital Media Design, and Immersive Technologies (UI/UX, AR/VR/XR)
• Web and Mobile Application Engineering