InfoData

Journal of Informatics and Data Science

An international peer-reviewed journal publishing high-quality research in informatics, data science, artificial intelligence, machine learning, data analytics, information systems, and computational methods.

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Open Access Peer Reviewed OJS 3.5 Biannual
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About the Journal

InfoData – Journal of Informatics and Data Science is a peer-reviewed, open access journal that publishes original research articles, review articles, and short communications in all areas of informatics and data science. The journal aims to disseminate high-quality scholarly work that contributes to the advancement of theory, methodology, and applications in computing, data science, and related disciplines.

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Focus and Scope

  • Informatics
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Data Analytics
  • Information Systems
  • Computational Methods
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Current Issue

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Articles Most Read Most Cited

Volume 1, Issue 1, January 2026

  • e-ISSN: XXXX-XXXX
  • DOI Prefix: 10.XXXX/INFODATA
  • Published: January 2026
  • Frequency: 2 issues per year

A Hybrid Deep Learning Model for Predictive Analytics in Smart Cities

D. A. Pratama, S. H. Putri, R. Kurniawan

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Explainable AI for Healthcare Diagnosis: A Systematic Review

M. Y. Rahman, L. O. Widodo, A. N. Lestari

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Big Data Pipeline Optimization Using Apache Spark and Kafka

B. Santoso, H. Wijaya, P. N. Hakim

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Publication Ethics

InfoData follows COPE (Committee on Publication Ethics) guidelines and upholds the highest standards of publication ethics.

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Author Guidelines

Please read the author guidelines carefully before submitting your manuscript to ensure a smooth review and publication process.

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