About the journal
Media Statistika is an open-access journal published by Universitas Diponegoro in Indonesia, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 750,000 IDR. Declared review time at DOAJ: 24 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Universitas Diponegoro
- ISSN
- 1979-3693 · 2477-0647
- Country
- Indonesia
- Languages
- english
- Access
- Open access
- Declared publication charge
- 750,000 IDR
- Articles in DOAJ
- 272
- Declared review time
- 24 weeks
- Declared peer-review model
- peer_review
- Official website
- https://ejournal.undip.ac.id/index.php/media_statistika/index
Index listings
- DOAJ · 2020-09-29
- Indexing
- DOAJ
- APC
- 750,000 IDR
- Declared review time (DOAJ)
- 24 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
272
Most recent article
12 months ago
Average review time (journal-declared via DOAJ)
24weeks
Works in OpenAlex
262
Last recorded publication year
2025
h-index
12
i10-index
22
From OpenAlex open data (CC0).
Editorial & policy8
- Last DOAJ review date
- 2026-01-03
- Added to DOAJ
- 2020-09-29
- Declared plagiarism screening
- Not declared
- Other fees beyond APC
- No
- Declared digital preservation
- Portico
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- PKP PNPortico
- Editorial board
- Official page ↗
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Data Mining and Machine Learning Applications
- Data Mining and Machine Learning Applications
- Management and Optimization Techniques
- Management and Optimization Techniques
- Economic Growth and Fiscal Policies
- Economic Growth and Fiscal Policies
- Computer Science and Engineering
- Computer Science and Engineering
Show all subjects (50)
- Forecasting Techniques and Applications
- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- Stock Market Forecasting Methods
- Edcuational Technology Systems
- Edcuational Technology Systems
- Financial Analysis and Corporate Governance
- Financial Analysis and Corporate Governance
- Decision Support System Applications
- Decision Support System Applications
- Spatial and Panel Data Analysis
- Spatial and Panel Data Analysis
- Statistical Methods and Applications
- Statistical Methods and Applications
- Urban Transport Systems Analysis
- Urban Transport Systems Analysis
- Insurance, Mortality, Demography, Risk Management
- Regional Economic and Spatial Analysis
- Insurance, Mortality, Demography, Risk Management
- Regional Economic and Spatial Analysis
- Multimedia Learning Systems
- Multimedia Learning Systems
- Statistical Methods and Bayesian Inference
- Financial Distress and Bankruptcy Prediction
- Imbalanced Data Classification Techniques
- Statistical Methods and Bayesian Inference
- Imbalanced Data Classification Techniques
- Financial Distress and Bankruptcy Prediction
- Livestock Farming and Management
- Livestock Farming and Management
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- COVID-19 epidemiological studies
- Optimal Experimental Design Methods
- Energy Load and Power Forecasting
- Optimal Experimental Design Methods
- Energy Load and Power Forecasting
- COVID-19 epidemiological studies
- Monetary Policy and Economic Impact
- Monetary Policy and Economic Impact
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
Keywords (DOAJ)
- time series
- categorical analysis
- data mining
- bayesian analysis
- statistics
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