About the Journal
ISSN Print (2964-3139) based on Decree Number 29643139/II.7.4/SK.ISSN/01/2023 dated January 18, 2023;
ISSN Online (2985-5330) based on Decree Number 29855330/II.7.4/SK.ISSN/02/2023 dated February 15, 2023 URL : https://ejurnal.jejaringppm.org/index.php/jitcsa The International Journal of Information Technology and Computer Science Applications (IJITCSA) is an information technology and computer science publication. Applications from both fields for solving real cases are also welcome. The JITCSA accepts research articles, systematic reviews, literature studies, and other relevant ones. The IJITCSA focuses on several fields of science, including information technology and the like and computer science fields such as artificial intelligence, data science, data mining, machine learning, deep learning, and the like. |
Current Issue
Editorial
Dear Readers,
Welcome to Volume 2, Number 3 of the Information Technology and Computer Science Application journal, covering the period from September to December 2024. As the editorial team, we are excited to present this ongoing issue, which is designed to provide a flexible and responsive platform for authors during the respective volume and number period.
In this issue, we aim to facilitate the rapid dissemination of cutting-edge research and technological advancements in the fields of information technology and computer science. By keeping this volume open and continuously accepting submissions, we are committed to supporting a dynamic exchange of ideas and innovations that address contemporary challenges.
We encourage authors to take advantage of this opportunity to contribute their latest findings and insights, knowing that this platform is dedicated to promoting high-quality research that drives progress in these vital areas of knowledge.
Thank you to all our contributors and readers for your continued support and participation. We look forward to the impactful research that will shape the future of IT and computer science in this evolving digital era.
New Submission
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Tacit Knowledge Mapping for Business Intelligence Analysis
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Abstract View: 25,
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