Focus and Scope

International Journal of Advances in Data and Information Systems (IJADIS) (e-ISSN: 2721-3056) is a peer-reviewed journal in the field of data science and information system that is published twice a year, scheduled in April and October.

The IJADIS brings together thought leaders, researchers, industry practitioners, and potential data science and information system users to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote cross-disciplinary and cross-domain collaboration.

The IJADIS aims to integrate all disciplines, such as statistics, computational science, and intelligence science, and practical transformation in domains such as science, engineering, business management, natural and social sciences, data analysis, database management, decision science, information systems, operations research, management science, production/operations management, statistics, as well as education. The journal is published by Indonesian Scientific Journal (Jurnal Ilmiah Indonesia). Accepted papers will be made available online (free open access).

Topics of relevance include all aspects of trends, scientific foundations, techniques, and applications of data science, data analytics, and information systems. The listed topics of interest are as follows: 

Data clustering and classifications
Statistical model in data science
Artificial intelligence and machine learning in data science
Data visualization
Data mining
Educational data mining
Data intelligence
Business intelligence and data warehousing
Cloud computing for Big Data
Data processing and analytics in IoT
Tools and applications in data science
Vision and future directions of data science
Computational Linguistics
Text Classification
Language resources
Information retrieval
Information extraction
Information security
Machine translation
Sentiment analysis
Speech processing
Mathematical linguistics
NLP applications
Information Science
Cryptography and steganography
Digital Forensic
Social media and social network
Computational intelligence
Collective intelligence
Graph theory and computation
Network science
Modeling and simulation
Parallel and distributed computing
High-performance computing
Information architecture