About the Journal
Journal of Systems Engineering and Intelligent Applications (SYSIA) is an international, peer-reviewed, open-access scientific journal published by Sabdatama Academy. The journal serves as a scholarly platform for researchers, academics, engineers, and industry practitioners to disseminate high-quality original research articles, review papers, and industrial case studies in the fields of systems engineering, artificial intelligence, intelligent systems, and digital transformation. All submitted manuscripts undergo a rigorous double-blind peer-review process to ensure scientific quality, originality, and academic integrity.
SYSIA aims to advance scientific knowledge and technological innovation by encouraging interdisciplinary research that integrates systems engineering, artificial intelligence, data analytics, intelligent automation, industrial informatics, and digital engineering. The journal welcomes theoretical, methodological, and applied research that addresses intelligent computational methods, cyber-physical integration, advanced decision-making technologies, and smart industrial systems. Particular emphasis is placed on emerging technologies such as Digital Twins, Cyber-Physical Systems, Industrial Internet of Things (IIoT), and intelligent manufacturing, which are recognized as key enablers of sustainable and resilient industrial transformation.
The journal publishes original contributions in, but is not limited to, the following areas:
- Systems Engineering
- Artificial Intelligence
- Intelligent Systems
- Machine Learning
- Deep Learning
- Intelligent Decision Support Systems
- Decision Intelligence
- Digital Twin
- Cyber-Physical Systems
- Smart Manufacturing
- Industrial Internet of Things (IIoT)
- Industrial Informatics
- Intelligent Automation
- Robotics and Autonomous Systems
- Predictive Analytics
- Big Data Analytics
- Intelligent Control Systems
- Edge Computing and Cloud Manufacturing
- Digital Transformation
- Industry 4.0 and Industry 5.0
SYSIA is committed to publishing high-quality scientific research that contributes to the advancement of intelligent technologies, digital innovation, systems integration, and sustainable engineering solutions for modern industrial and societal applications.