About the Journal

DISTANCE: Journal of Data Science, Technology, and Computer Science

DISTANCE: Journal of Data Science, Technology and Computer Science is a peer-reviewed biannual journal (June and December) published by Pustaka Timur Publisher. It is dedicated to interchange for the articles of high-quality research in the field of Data Science, Technology, and Computer Science. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review of previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the DISTANCE: Journal of Data Science, Technology and Computer Science follows the open access policy that allows the published articles freely available online without any subscription.

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Journal title : DISTANCE: Journal of Data Science, Technology, and Computer  Science
Subjects : Data Science, Information Technology, Computer Science
Language : English
ISSN : 2809-171X (Online)
Frequency : 2 issues per year (Semiannual)
DOI : -
OAI : https://e-jurnal.pustakatimur.org/index.php/distance/oai
Editor-in-chief : Arif Hamied Nababan, S.Kom., M.T.I.
Publisher : Pustaka Timur Publisher
Citation Analysis : Google Scholar


   

Current Issue

Vol. 1 No. 1 (2021): December : 2021
					View Vol. 1 No. 1 (2021): December : 2021

DISTANCE: Journal of Data Science, Technology and Computer Science is an international peer-reviewed biannual journal (June and December) published by Pustaka Timur Publisher. It is dedicated to interchange for the articles of high-quality research in the field of Data Science, Technology, and Computer Science. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review of previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the DISTANCE: Journal of Data Science, Technology and Computer Science follows the open access policy that allows the published articles freely available online without any subscription.

Published: 2021-12-01

Articles

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