JMAI (Jurnal Multimedia dan Artificial Intelligence)

Universitas Mercu Buana Yogyakarta

Journal websitePeer review: Double-blind review
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About the journal

JMAI (Jurnal Multimedia dan Artificial Intelligence) is an open-access journal published by Universitas Mercu Buana Yogyakarta in Indonesia, publishing in INDONESIAN. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 4 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Universitas Mercu Buana Yogyakarta
ISSN
2580-2593
Country
Indonesia
Languages
INDONESIAN
Access
Open access
Articles in DOAJ
0
Declared review time
4 weeks
Declared peer-review model
double_blind

Index listings

  • DOAJ · 2020-02-18
Indexing
DOAJ
APC
—
Declared review time (DOAJ)
4 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Dormant — no works recorded since 2020
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

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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

0

Average review time (journal-declared via DOAJ)

4weeks

Works in OpenAlex

35

Last recorded publication year

2020

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

h-index

5

i10-index

1

From OpenAlex open data (CC0).

Editorial & policy8
Last DOAJ review date
2020-02-18
Added to DOAJ
2020-02-18
Declared plagiarism screening
Declared
Other fees beyond APC
No
Editorial board
Official page ↗
Open references deposited at Crossref
0%
ORCID iDs in current deposits
0%
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification4

Subjects (DOAJ)

Technology: Technology (General): Industrial engineering. Management engineering: Information technologyScience: Mathematics: Instruments and machines: Electronic computers. Computer science

LCC codes

T58.5-58.64QA75.5-76.95

Subject areas

  • Edcuational Technology Systems
  • Edcuational Technology Systems
  • Data Mining and Machine Learning Applications
  • Data Mining and Machine Learning Applications
  • Computer Science and Engineering
  • Computer Science and Engineering
  • Multimedia Learning Systems
  • Multimedia Learning Systems
Show all subjects (46)
  • Blockchain Technology in Education and Learning
  • Blockchain Technology in Education and Learning
  • Decision Support System Applications
  • Decision Support System Applications
  • Information Retrieval and Data Mining
  • Information Retrieval and Data Mining
  • Food and Agricultural Sciences
  • Food and Agricultural Sciences
  • Livestock Farming and Management
  • Livestock Farming and Management
  • Varied Academic Research Topics
  • Varied Academic Research Topics
  • Agricultural and Environmental Management
  • Digital Marketing and Social Media
  • STEM Education
  • SMEs Development and Digital Marketing
  • Retinal Imaging and Analysis
  • Local Governance and Development
  • Public Health and Nutrition
  • Blood donation and transfusion practices
  • Environmental Engineering and Cultural Studies
  • Environmental Engineering and Cultural Studies
  • Educational Methods and Media Use
  • IoT-based Control Systems
  • Digital Imaging for Blood Diseases
  • Data Mining Algorithms and Applications
  • Educational Methods and Media Use
  • IoT-based Control Systems
  • Digital Imaging for Blood Diseases
  • Data Mining Algorithms and Applications
  • Blood donation and transfusion practices
  • Public Health and Nutrition
  • Retinal Imaging and Analysis
  • Digital Marketing and Social Media
  • Agricultural and Environmental Management
  • STEM Education
  • SMEs Development and Digital Marketing
  • Local Governance and Development

Keywords (DOAJ)

  • virtual reality
  • information technology
  • artificial intelligence
  • expert systems
  • multimedia

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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

Last automated source read: