Semar Journal

About the Journal

Semar Journal (Scientific Education in Machine Learning and Artificial Intelligence for Research) is a peer-reviewed, open-access international journal that publishes high-quality research articles, review papers, and case studies in the field of artificial intelligence and machine learning, with a strong emphasis on their application in scientific and educational domains.

The journal aims to serve as a platform for researchers, practitioners, and educators to disseminate innovative ideas, theoretical advancements, and practical implementations that contribute to the development of intelligent systems and data-driven approaches for solving real-world problems.

Semar Journal welcomes interdisciplinary contributions at the intersection of computer science, data science, cognitive science, and education technology, including but not limited to:

• Machine learning algorithms and optimization techniques

• Deep learning architectures and application

• Natural language processing and computer vision

• AI in education and digital learning environments

• Ethical and social implications of AI

• AI-powered systems for scientific research and discovery

• Explainable AI and model interpretability

• Data mining and pattern recognition

Published biannually, Semar Journal maintains rigorous peer-review standards and adheres to the principles of research integrity, inclusivity, and global academic collaboration.

Identitas Jurnal