Abstracting & Indexing
Abstracting
The Journal of Educational Technology & Society is a source of knowledge that focuses on the fields of education, technology, and their applications in various scientific disciplines. This journal presents the latest research, data analysis methodologies, statistical modeling, machine learning techniques, and innovative information technology applications.
The articles published in this journal cover various topics, such as big data processing, predictive analysis, data exploration, information visualization, artificial intelligence (AI), textual analysis, as well as information technology applications in various contexts such as health, economics , social science and more. This journal aims to facilitate the exchange of knowledge and innovative ideas among researchers, professionals and practitioners in the fields of data science and informatics. We invite authors from a variety of academic and industrial backgrounds to contribute to advancing our understanding of the enormous potential that data science and informatics have in addressing the complex challenges of the digital era. Journal of Data Science and Informatics is committed to disseminating high-quality research and providing valuable insights to readers interested in understanding, developing, and applying knowledge in data science and informatics.
Indexing:
- Google Scholar
- Garuda: Garba Rujukan Digital
- ROAD - the Directory of Open Access scholarly Resources
- Scilit
- Indonesia One Search
- BASE - Bielefeld Academic Search Engine
- ResearchBib - Academic Research Index
- Moraref - Kemenag RI
- OpenAIRE | Explore
- Semantic Scholar | AI-Powered Research Tool
- EuroPub: Academic and Scholarly Research Publication Center
- Web of Science ResearcherID
- ICI World of Journals
- DRJI
- Citefactor
