The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information technology, computer science, computer engineering, information systems, software engineering and education of information technology. JITeCS publishes original research findings and high quality scientific articles that present cutting-edge approaches including methods, techniques, tools, implementations and applications.

JITeCS has been accredited by number 85/M/KPT/2020 valid from Volume 4 Number 3, 2018 to Volume 9 Number 1, 2024.


Call For Reviewer JITeCS The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal. For future improvement and development, JITeCS seeks applications for the position of reviewers. If you have interest in becoming the reviewer of JITeCS, complete the form and email at jitecs@ub.ac.id along with your curriculum vitae (CV). Form can be downloaded in here.

Reviewers are charged with providing feedback to JITeCS editors about the merits of submissions in terms of quality and contribution to the field. Reviewers are expected to write reviews in a timely, collegial, and constructive manner. Thanks to reviewers with a high level of expertise and an ability to be objective, fair, and insightful in their evaluation of manuscripts, will maintaining JITeCS journal as the best in term of scientific quality.

Benefits and Privileges:

  • Reviewer’s name and affiliation will be listed in the Journal’s website.
  • Reviewers get certificate sign by the Dean of the Faculty of Computer Science of Brawijaya University
  • Reviewers can publish papers in journal issues free of charge after getting acceptance.
  • Reviewers collaboration with the journal gives an international academic/research profile

For additional information and inquiries, please contact us at jitecs@ub.ac.id

PDF 247-254

Development of Big Data App for Classification based on Map Reduce of Naive Bayes with or without Web and Mobile Interface by RESTful API Using Hadoop and Spark

Imam Cholissodin, Diajeng Sekar Seruni, Junda Alfiah Zulqornain, Audi Nuermey Hanafi, Afwan Ghofur, Mikhael Alexander, Muhammad Ismail Hasan
PDF 302-312

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