About the Journal

Journal title Journal Binary Digital - Technology
Initials Bit-Tech
Abbreviation J. Bit-Tech
Frequency Three times a year (April, August, December)
DOI 10.32877/bt
Print ISSN 2622-271X
Online ISSN 2622-2728
Acceptance Rate 57%
Publisher Komunitas Dosen Indonesia 
Language English, Indonesia

Journal of Binary Digital - Technology (Bit-Tech) published by the Indonesian Lecturer Community.

We publish original research papers, review articles, and case studies focused on eBusiness, IT Governance, Datamining, IoT (Internet of Thing), Cloud Computing and Decision Support Systems (Bussiness Intelligent) and Informatics related topics. All papers are peer reviewed by at least two referees.
P-ISSN : 2622-271X E-ISSN : 2622-271X

Bit-Tech was first published in 2018. Since then, Bit-Tech strives to receive quality articles for publication. Therefore, starting in 2022 Bit-Tech is accredited by the Ministry of Research, Technology and Higher Education of the Republic of Indonesia witch is Four Grade (Sinta 4) rating from 2023 to 2027 based on Decree No. 177/E/KPT/2024.

Submission Timelines

3 Days 5 Days 30 Days 5 Days
Time to First Decision Review Time Submission to Acceptance Acceptance to Publication

Current Issue

Vol. 7 No. 3 (2025): bit-Tech
View Vol. 7 No. 3 (2025): bit-Tech

We are pleased to announce the publication of bit-Tech (Binary Digital-Technology), Volume 7, Number 3 (2025), which features a total of 48 articles contributed by over 120 authors representing 25 institutions across Indonesia, with participation from both private and public universities, polytechnics, and specialized technology institutes. This issue reflects a strong collaborative spirit across the academic and professional spectrum, with contributors in this issue come from a wide range of institutions, including Universitas Buddhi Dharma, Universitas Muria Kudus, Universitas Pamulang, Universitas Bina Nusantara, Telkom University, Institut Teknologi Sumatera, Universitas Horizon Indonesia, Universitas Putra Indonesia “YPTK” Padang, Universitas Islam Syekh Yusuf Tangerang, Universitas Indo Global Mandiri, Universitas Muhammadiyah Ponorogo, Universitas Islam Kadiri, Universitas Pelita Bangsa, Universitas Khairun, Universitas PGRI Adi Buana Surabaya, Universitas Bina Sarana Informatika, Universitas Stikubank, STMIK PGRI Tangerang, Widya Dharma University, Universitas Mikroskil, Universitas Kuningan, Universitas Media Nusantara Citra, Institut Bisnis dan Informatika Kwik Kian Gie, Institut Teknologi dan Bisnis Bina Sarana Global, and Institut Bakti Nusantara.. The diversity of institutional affiliations underscores the journal’s commitment to fostering inclusive, cross-disciplinary academic dialogue and supporting emerging scholars in the digital technology landscape.

The featured articles span a wide array of current and emerging topics in digital technology, including artificial intelligence, machine learning, data mining, decision support systems, blockchain applications, mobile and web-based systems, IoT implementations, and user-centered design approaches. Methodologically, the studies employ a variety of approaches such as Support Vector Machines, K-Means Clustering, Decision Trees, Linear and Multiple Regression, Design Thinking, Profile Matching, and ARIMA forecasting. The issue highlights not only the technical advancement of digital systems but also their application in education, healthcare, public administration, and commerce. Collectively, this edition of bit-Tech contributes valuable insights into Indonesia’s ongoing digital transformation and provides a scholarly platform for critical engagement with complex socio-technological challenges.

DISCLAIMER
The editors and publishers of the bit-Tech have made every possible information possible in the publication. Any opinions, discussions, views, and recommendations are expressed in the article are solely those of the authors and are not of bit-Tech, its editors, or its publishers. bit-Tech, its editors and its publisher will not be liable for any direct, indirect, consequential, special, exemplary, or other damages arising therefrom

DOI: https://doi.org/10.32877/bt.v7i3
Published: 2025-04-25

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Articles

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Focus and Scope:
Web Technology (Mobile), eBussiness, Datamining, Cloud Computing, and Decision Support System (Business Intelligence), Machine Learning, Artificial Intelligence.

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