Jurnal Dialektika Informatika
Badan Penerbit Universitas Muria Kudus
About the journal
Jurnal Dialektika Informatika is an open-access journal published by Badan Penerbit Universitas Muria Kudus in Indonesia, publishing in INDONESIAN. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 8 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Badan Penerbit Universitas Muria Kudus
- ISSN
- 2746-2811 · 2774-2148
- Country
- Indonesia
- Languages
- INDONESIAN
- Access
- Open access
- Articles in DOAJ
- 36
- Declared review time
- 8 weeks
- Declared peer-review model
- double_blind
- Official website
- https://jurnal.umk.ac.id/index.php/detika/index
Index listings
- DOAJ · 2022-10-27
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 8 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2025
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
36
Most recent article
3 years ago
Average review time (journal-declared via DOAJ)
8weeks
Works in OpenAlex
82
Last recorded publication year
2025
h-index
3
i10-index
1
From OpenAlex open data (CC0).
Editorial & policy10
- Last DOAJ review date
- 2022-10-27
- Added to DOAJ
- 2022-10-27
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- Yes
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- PKP PN
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 0%
- 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
- DETIKA
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Edcuational Technology Systems
- Edcuational Technology Systems
- Multimedia Learning Systems
- Multimedia Learning Systems
- Blockchain Technology in Education and Learning
- Blockchain Technology in Education and Learning
- Decision Support System Applications
- Decision Support System Applications
Show all subjects (50)
- Information Retrieval and Data Mining
- Information Retrieval and Data Mining
- Data Mining and Machine Learning Applications
- Data Mining and Machine Learning Applications
- Educational Methods and Media Use
- Educational Methods and Media Use
- Computer Science and Engineering
- Computer Science and Engineering
- IoT-based Control Systems
- Local Governance and Development
- Local Governance and Development
- IoT-based Control Systems
- Public Health and Nutrition
- Management and Optimization Techniques
- SMEs Development and Digital Marketing
- Public Health and Nutrition
- SMEs Development and Digital Marketing
- Management and Optimization Techniques
- COVID-19 Prevention and Impact
- Web Applications and Data Management
- Educational Methods and Technology
- Impulse Buying and Technology Impacts
- COVID-19 Prevention and Impact
- Educational Methods and Technology
- Web Applications and Data Management
- Impulse Buying and Technology Impacts
- Spectroscopy and Chemometric Analyses
- Customer Service Quality and Loyalty
- Smart Agriculture and AI
- Digital Accessibility for Disabilities
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
- IoT-based Smart Home Systems
- Smart Agriculture and AI
- IoT-based Smart Home Systems
- Air Quality Monitoring and Forecasting
- Hydrological Forecasting Using AI
- AI in Service Interactions
- Spectroscopy and Chemometric Analyses
- AI in Service Interactions
- Digital Accessibility for Disabilities
- Customer Service Quality and Loyalty
Keywords (DOAJ)
- software engineering
- mobile technology and application
- database system
- computer networking
- information system development methodology
- artificial intelligence
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ