JECDS: Journal of Electrical, Control, and Data Science publishes high-quality scholarly works in either Indonesian or English, including original empirical research, theoretical and methodological studies, applied engineering research, and systematic reviews. The journal focuses on the advancement of knowledge at the intersection of electrical engineering, control systems, and data science, fostering integrative approaches to complex engineering and industrial problems.

JECDS emphasizes rigorous, systems-oriented, and data-driven research that bridges classical engineering principles with modern computational and analytical techniques. The journal aims to support innovation in intelligent systems, automation, and data-informed decision-making across academic, industrial, and societal applications.

Topic Areas

The scope of JECDS includes, but is not limited to, the following thematic areas:

1. Electrical and Power Systems: Power generation, transmission and distribution, renewable energy systems, smart grids, power electronics, and energy management.
2. Control Systems and Automation: Classical and modern control theory, robust and adaptive control, nonlinear systems, robotics, mechatronics, and industrial automation.
3. Signal Processing and Communication Systems: Signal analysis, filtering, sensing technologies, communication networks, and embedded systems.
4. Data Science and Intelligent Systems: Machine learning, data analytics, artificial intelligence, optimization, and computational intelligence for engineering applications.
5. Cyber-Physical and IoT Systems: Integration of control, computation, and communication in cyber-physical systems, IoT architectures, and smart infrastructure.
6. Modeling, Simulation, and Optimization: System modeling, numerical simulation, digital twins, and optimization techniques for complex engineering systems.
7. Reliability, Safety, and Security: Fault detection and diagnosis, system reliability, safety-critical systems, and cybersecurity in electrical and control systems.
8. Applied and Industrial Case Studies: Real-world implementations, experimental validations, and technology transfer in electrical, control, and data-driven systems.

Types of Contributions

• Original research articles presenting theoretical, computational, or experimental advances in electrical, control, and data science domains.
• Applied studies demonstrating the deployment and evaluation of engineering solutions in industrial or societal contexts.
• Theoretical or methodological papers advancing models, algorithms, and analytical frameworks.
• Systematic reviews, scoping reviews, or meta-analyses synthesizing developments across relevant engineering fields.
• Technical notes or case studies highlighting innovative practices, prototypes, or system implementations.

The journal serves researchers, engineers, practitioners, and policy stakeholders interested in the development and application of electrical, control, and data-driven systems in local, national, and global contexts.