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Indonesian Journal of Intelligence Data Science

The Indonesian Journal of Intelligence Data Science (IJIDS) is a peer-reviewed scientific Open Access journal that published by Faculty of Mathematics and Natural Sciences, Sam Ratulangi University. This Journal is built with the aim to expand and create innovation concepts, theories, paradigms, perspectives and methodologies in the sciences of Informatics Engineering. The articles published in this journal can be the result of conceptual thinking, ideas, innovation, creativity, best practices, book review and research results that have been done. The Indonesian Journal of Intelligence Data Science (IJIDS) publishes scientific articles twice a year in  May and November.

Previously, The Indonesian Journal of Intelligence Data Science (IJIDS) had published two issues 
a year starting in June 2022. The first issue, namely Volume 1 No. 1, June 2022 | 
and the second issue, namely Volume 1 No. 2, December 2022. The Jurnal IJIDS already has E-ISSN: 2988-0416.

This journal accepts scientific writings that are based on the theme of Data Science, with the scope of research covering the use or development of several methods such as statistical learning (relationships between variables to gain insight) and machine learning (models capable of making predictions) which are applied to various data from sampling results structured or unstructured which arise from various problems in the field of scientific research such as the environment, etc. The study of other sciences that examine topics related to Informatics Engineering is not limited to: Mobile Application, Technopreneur, Cloud Computing, Customer Relationship Management, Database Management, Web Application, Semantic, E-Learning, Game Development, Multimedia Application, Industrial Engineering, Cluster Computing, Intelligent System, Data Mining, Expert System, Software Engineering, Operating System, Data Center, Bioinformatics, Network and Security, Computer Network, Human Computer Interaction, Computer Vision, Decision Support System, Neural Network, Paralel Processing, Animation, Computer Graphic, Information Security.

The submitted paper will be reviewed by reviewers. Review process employs Double-Blind Peer Review. In this system authors do not know who the reviewer is, and the reviewers do not know whose work they are evaluating.
 
Before submission, please  make sure that your paper is prepared using the journal Paper Template.