| SINTA Accreditation |
| E-ISSN |
| MAIN MENU |
| Editorial Team |
| Call For Reviewer |
| Reviewer |
| Peer Review Process |
| Focus and Scope |
| Publication Frequency |
| Author Guidelines |
| Publishing Code of Ethics |
| Copyright Notice |
| Open Access Policy |
| Plagiarism Policy |
| Licence Policy |
| Repository Policy |
| Author Fee |
| DOWNLOAD TEMPLATE |
| STATISTICS |
| HOTLINE CHAT |
| INDEXING |
| PLAGIARISME CHECK |
| TOOLS |
| SUPPORT BY |
Journal of Dinda : Data Science, Information Technology, and Data Analytics as a publication media for research results in the fields of Data Science, Information Technology, and Data Analytics, but not implicitly limited. Published 2 times a year in February and August. The journal is managed by the Data Engineering Research Group, Faculty of Informatics, Telkom Purwokerto Institute of Technology.
Journal of Dinda is a medium for scientific studies resulting from research, thinking, and critical-analytic studies regarding Data Science, Informatics, and Information Technology. This journal is expected to be a place to foster enthusiasm in education, research, and community service which continues to develop into supporting references for academics.
FOCUS AND SCOPE
Journal of Dinda : Data Science, Information Technology, and Data Analytics receive scientific articles with the scope of research on:
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Databases
- Statistics
- Optimization
- Natural Language Processing
- Big Data and Cloud Computing
- Bioinformatics
- Computer Vision
- Information Theory and Models
- Data Mining
- Mathematical, Probabilistic and Statical Theories
- Machine Learning Theories, Models and Systems
- Social Science
- Information Technology
Best Regards,
Editor in Chief










