Editorial Policies

Focus and Scope

JURNAL TEKNISIĀ is a scientific journal that serves as a publication medium for research findings in the fields of Computer Science, Science, and Technology, including:

[1] Data Mining

[2] Machine Learning

[3] Deep Learning

[4] Computer Engineering

[5] Information Engineering

[6] Information System

[7] Computer System

[8] Software Engineering

It is published twice a year, in February and August, with a maximum allowed plagiarism rate of 25%.

 

Section Policies

Articles

Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

Each article submitted to the editorial team undergoes a Preliminary Review process. The article will then be sent to a Reviewer and proceed to the next selection stage, which involves a Double-blind peer review process. Afterward, the article will be returned to the author for revisions. This process typically takes around one month (a maximum of four weeks). Reviewers will evaluate the manuscript from both a substantive and technical perspective. The Reviewers collaborating with Jurnal Teknisi are experts in the field of computer science and have extensive experience in journal management. Once the manuscript is ready for publication and accepted by the editor, the editor will assign the volume and issue number for its release.

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

 

Author Fee

This journal charges the following author fees.

Article Publication: Rp. 250,000 (IDR)
If this article is accepted for publication, you will be asked to pay the Article Publication Fee as stated. Payment of the Article Publication Fee is made via Transfer to the Destination Account, namely Bank Muamalat

*) Payment Invoice Will Be Sent to the Author via WhatsApp and Email by the Editor.

 

Plagiarism

Plagiarism

The Editor may make use of Turnitin for checking the originality of submissions received with the policy at least 25 %.