Journal of Data, Computation, and Information Systems (JDCIS) is a scientific journal publishing research and studies in data science, computation, and information systems. Published by Smart Grafika Innovation, the journal is issued four times a year and applies a fully open-access policy with article processing charges. All articles are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Journal Description

Journal title:  Journal of Data, Computation, and Information Systems
Initial:  JDCIS
Frequency:  March, June, September, and December
DOI:  
Online ISSN:  
Editor-in-Chief:  Dr. Danang Arbian Sulistyo, S.ST., M.Kom
Managing Editor:  
Publisher:  Smart Grafika Innovation

Journal of Data, Computation, and Information Systems (JDCIS) is a scientific journal dedicated to publishing research articles, theoretical studies, and practical applications in the fields of data science, computation, and information systems. The journal aims to provide a platform for academics, researchers, and practitioners to share ideas, innovations, and scientific contributions related to the development of information technology and data science.

JDCIS is managed and published by Smart Grafika Innovation, with an issue frequency of four times a year (March, June, September, and December).
All published articles are fully open access and free of publication charges (no APC).

Focus and Scope

JDCIS welcomes original research papers and review articles covering (but not limited to) the following topics:

  • Data Science and Big Data

  • Artificial Intelligence and Machine Learning

  • Distributed, Cloud, and Edge Computing

  • Information Systems and Information Technology

  • Data Analysis and Visualization

  • Internet of Things (IoT)

  • Cybersecurity and Data Management

License and Copyright Policy

All articles published in JDCIS are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Authors retain copyright and grant permission for others to distribute, remix, and build upon their work as long as proper credit is given to the original source.