Submissions
Submission Preparation Checklist
All submissions must meet the following requirements.
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Submitted articles are free from PLAGIARISM and other copyright violations.
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Articles submitted to Jurnal Komputasi Cerdas have never been published before, are in the process of being REVIEWED by another journal, or have been SUBMITTED to another journal.
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Submitted articles are in Microsoft Office format (.doc/.docx).
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Submitted articles have been written according to the Jurnal Komputasi Cerdas TEMPLATE guidelines.
Articles
Section default policyCopyright Notice
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Privacy Statement
Privacy Statement
The names, email addresses, and any other personal information entered in this journal’s website will be used exclusively for the purposes of the journal’s operational processes. This includes, but is not limited to:
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Managing manuscript submissions and peer review,
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Communicating with authors, reviewers, and editors regarding the editorial process,
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Providing publication notifications and updates to registered users,
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Maintaining accurate journal records and archives,
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Compiling non-identifiable statistical information for internal reporting and quality improvement.
The journal guarantees that this information will not be shared, sold, rented, or otherwise disclosed to any third party or used for purposes unrelated to the journal’s function, without the explicit consent of the individual concerned.
All user data is stored securely and access is restricted to authorized editorial personnel only. We are committed to protecting the privacy and confidentiality of our users in accordance with applicable data protection laws and ethical publishing practices.
Should you have any questions or concerns regarding your personal data, please contact the journal’s editorial office.