CommIT Journal

Bina Nusantara University

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About the journal

CommIT Journal is an open-access journal published by Bina Nusantara University in Indonesia, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 2,000,000 IDR. Declared review time at DOAJ: 16 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Bina Nusantara University
ISSN
1979-2484 · 2460-7010
Country
Indonesia
Languages
english
Access
Open access
Declared publication charge
2,000,000 IDR
Articles in DOAJ
371
Declared review time
16 weeks
Declared peer-review model
double_blind

Index listings

  • DOAJ · 2016-12-21
Indexing
DOAJ
APC
2,000,000 IDR
Declared review time (DOAJ)
16 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

371

Most recent article

last month

Average review time (journal-declared via DOAJ)

16weeks

Works in OpenAlex

353

Last recorded publication year

2025

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

18

i10-index

47

From OpenAlex open data (CC0).

Editorial & policy9
Last DOAJ review date
2025-11-24
Added to DOAJ
2016-12-21
Declared plagiarism screening
Declared
Other fees beyond APC
No
Editorial board
Official page ↗
Open references deposited at Crossref
25%
ORCID iDs in current deposits
23%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Peer-review policy
View policy
Identity & continuity2
Alternate titles
Communication and information technology journalCommIT Journal
Source type
journal
Classification4

Subjects (DOAJ)

Technology: Electrical engineering. Electronics. Nuclear engineering: TelecommunicationTechnology: Technology (General): Industrial engineering. Management engineering: Information technology

LCC codes

TK5101-6720T58.5-58.64

Subject areas

  • Decision Support System Applications
  • Blockchain Technology in Education and Learning
  • Blockchain Technology in Education and Learning
  • Decision Support System Applications
  • Decision Support System Applications
  • Edcuational Technology Systems
  • Edcuational Technology Systems
  • Information Retrieval and Data Mining
Show all subjects (75)
  • Information Retrieval and Data Mining
  • Big Data and Business Intelligence
  • Big Data and Business Intelligence
  • Information Technology Governance and Strategy
  • Technology Adoption and User Behaviour
  • Engineering and Information Technology
  • Multimedia Learning Systems
  • Multimedia Learning Systems
  • Information Technology Governance and Strategy
  • SMEs Development and Digital Marketing
  • SMEs Development and Digital Marketing
  • Information Technology Governance and Strategy
  • Technology Adoption and User Behaviour
  • Technology Adoption and User Behaviour
  • ERP Systems Implementation and Impact
  • Web visibility and informetrics
  • Web visibility and informetrics
  • Digital Marketing and Social Media
  • Digital Marketing and Social Media
  • Advanced Neural Network Applications
  • Management and Optimization Techniques
  • Management and Optimization Techniques
  • Text and Document Classification Technologies
  • Text and Document Classification Technologies
  • Computer Science and Engineering
  • Computer Science and Engineering
  • Data Mining and Machine Learning Applications
  • Digital Marketing and Social Media
  • Data Mining and Machine Learning Applications
  • Data Mining and Machine Learning Applications
  • Big Data and Business Intelligence
  • Arduino and IoT Applications
  • Information and Cyber Security
  • SMEs Development and Digital Marketing
  • Customer Service Quality and Loyalty
  • Artificial Intelligence in Healthcare
  • Consumer Behavior and Marketing Influence
  • Consumer Behavior and Marketing Influence
  • Advanced Text Analysis Techniques
  • Advanced Text Analysis Techniques
  • Information Systems Education and Curriculum Development
  • Smart Agriculture and AI
  • Consumer Behavior and Marketing Influence
  • Sentiment Analysis and Opinion Mining
  • Health, Technology, Consumer Behavior
  • Multimedia Learning Systems
  • Marketing and Advertising Strategies
  • IoT-based Control Systems
  • Sentiment Analysis and Opinion Mining
  • Data Mining Algorithms and Applications
  • IoT-based Control Systems
  • Educational Technology and E-Learning
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Data Mining Algorithms and Applications
  • Emotion and Mood Recognition
  • E-Government and Public Services
  • ERP Systems Implementation and Impact
  • ERP Systems Implementation and Impact
  • IoT and GPS-based Vehicle Safety Systems
  • Technology-Enhanced Education Studies
  • Video Surveillance and Tracking Methods
  • Health Literacy and Information Accessibility
  • Video Surveillance and Tracking Methods
  • IoT and GPS-based Vehicle Safety Systems
  • Technology-Enhanced Education Studies
  • Health Literacy and Information Accessibility

Keywords (DOAJ)

  • computer science
  • information systems
  • computer engineering
  • information system management

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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