International Journal of Advances in Intelligent Informatics Universitas Ahmad Dahlan Impact Factor

International Journal of Advances in Intelligent Informatics - Universitas Ahmad Dahlan | 2024 Cite Score:3.1 | Q3

International Journal of Advances in Intelligent Informatics With Cite Score

Cite Score and Journal Rank of International Journal of Advances in Intelligent Informatics

About: International Journal of Advances in Intelligent Informatics (IJAIN) is a peer-reviewed journal dedicated to the field of intelligent informatics. It focuses on advancements in the theory, design, and application of intelligent systems and informatics. The journal covers a broad range of topics including artificial intelligence, machine learning, data mining, knowledge management, intelligent systems, and cognitive computing. IJAIN aims to provide a platform for high-quality research and innovative contributions in the field of intelligent informatics.
Objective:
The primary objective of IJAIN is to advance the field of intelligent informatics through the publication of significant research findings and technological innovations. The journal seeks to offer a valuable resource for researchers, practitioners, and educators to explore new theories, methodologies, and applications in intelligent systems and informatics. IJAIN aims to support the development and application of advanced informatics solutions that address complex problems and enhance the state of knowledge in the field.
Interdisciplinary Approach:
IJAIN embraces an interdisciplinary approach, encouraging contributions from various fields such as computer science, information technology, artificial intelligence, cognitive science, and systems engineering. This approach ensures a comprehensive exploration of intelligent informatics topics, integrating different perspectives and methodologies. By promoting interdisciplinary research, the journal addresses multifaceted challenges and fosters the development of integrated solutions that advance the field of intelligent informatics.
Impact:
The journal has a notable impact on both academic research and practical applications in intelligent informatics. It is widely cited by researchers, practitioners, and industry professionals interested in the latest developments in artificial intelligence, machine learning, and related areas. The research published in IJAIN contributes to the advancement of new technologies, methodologies, and applications that improve the capabilities and effectiveness of intelligent systems. The journal serves as a valuable resource for those involved in research, development, and implementation in the field of intelligent informatics.
Significance:
IJAIN plays a crucial role in advancing the study and application of intelligent informatics by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative solutions and technologies that address current and emerging challenges in the field. The journals commitment to excellence and its interdisciplinary focus make it an essential resource for anyone involved in research, development, and application in intelligent informatics. Through its rigorous scholarship and broad coverage, IJAIN helps shape the future of intelligent systems and informatics.

Journal Home: Journal Homepage

Editor-in-Chief: Andri Pranolo

Scope: The International Journal of Advances in Intelligent Informatics focuses on advancements in the field of intelligent systems and informatics. Its scope includes, but is not limited to:
Artificial Intelligence: Research on algorithms, models, and applications of artificial intelligence, including machine learning, neural networks, natural language processing, and knowledge representation.
Intelligent Systems: Studies on the development and application of systems that exhibit intelligent behavior, including autonomous systems, expert systems, and decision support systems.
Data Science and Analytics: Exploration of methods and techniques for analyzing and interpreting large datasets, including data mining, statistical analysis, and predictive modeling.
Knowledge Management: Research on systems and methodologies for managing and utilizing knowledge within organizations, including knowledge retrieval, knowledge sharing, and organizational learning.
Human-Computer Interaction: Studies on the design and evaluation of interfaces and interactions between users and intelligent systems, including usability, user experience, and interaction design.
Intelligent Information Retrieval: Research on techniques for retrieving and organizing information from large databases and information systems, including search engines, recommendation systems, and content management.
Intelligent Data Processing: Exploration of methods for processing and interpreting complex data, including signal processing, image processing, and time-series analysis.
Smart Technologies: Studies on the development and application of smart technologies in various domains, including smart cities, smart homes, and IoT (Internet of Things) applications.
Computational Intelligence: Research on computational models and algorithms inspired by biological systems, including evolutionary algorithms, swarm intelligence, and fuzzy systems.
Distributed and Parallel Computing: Exploration of techniques for distributed and parallel processing of data and intelligent algorithms, including cloud computing, grid computing, and high-performance computing.
Robotic Systems: Studies on the design and application of intelligent robotic systems, including robotics control, perception, and autonomous operation.
Natural Language Processing: Research on methods and technologies for processing and understanding human language, including text analysis, speech recognition, and machine translation.
Adaptive Systems: Exploration of systems that can adapt to changing conditions and environments, including adaptive learning systems, adaptive control, and self-optimizing systems.
Decision Support Systems: Research on systems designed to assist in decision-making processes, including decision analysis, multi-criteria decision making, and decision support technologies.
Intelligent Computing Systems: Studies on advanced computing systems that incorporate intelligent algorithms and methodologies, including hybrid systems and computational models.
Data Security and Privacy: Research on methods for ensuring the security and privacy of data within intelligent systems, including encryption, access control, and secure data management.