Jurnal Data Mining dan Sistem Informasi

Universitas Teknokrat Indonesia

Journal websitePeer review: Peer review
Evaluation status available after sign-in

About the journal

Jurnal Data Mining dan Sistem Informasi is an open-access journal published by Universitas Teknokrat Indonesia in Indonesia, publishing in INDONESIAN and ENGLISH. 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
Universitas Teknokrat Indonesia
ISSN
2745-8458 · 2775-9660
Country
Indonesia
Languages
INDONESIAN, ENGLISH
Access
Open access
Articles in DOAJ
0
Declared review time
8 weeks
Declared peer-review model
peer_review

Index listings

  • DOAJ · 2022-06-03
Indexing
DOAJ
APC
—
Declared review time (DOAJ)
8 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2023
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)

8weeks

Works in OpenAlex

36

Last recorded publication year

2023

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

h-index

9

i10-index

9

From OpenAlex open data (CC0).

Editorial & policy8
Last DOAJ review date
2022-06-03
Added to DOAJ
2022-06-03
Declared plagiarism screening
Not 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
Classification2

Subjects (DOAJ)

Science: Mathematics: Instruments and machines: Electronic computers. Computer science

LCC codes

QA75.5-76.95

Subject areas

  • Multimedia Learning Systems
  • Multimedia Learning Systems
  • Edcuational Technology Systems
  • Edcuational Technology Systems
  • Information Retrieval and Data Mining
  • Information Retrieval and Data Mining
  • Decision Support System Applications
  • Decision Support System Applications
Show all subjects (38)
  • Data Mining and Machine Learning Applications
  • Data Mining and Machine Learning Applications
  • Blockchain Technology in Education and Learning
  • Blockchain Technology in Education and Learning
  • Educational Methods and Media Use
  • Linguistics and Language Analysis
  • Linguistics and Language Analysis
  • SMEs Development and Digital Marketing
  • Educational Methods and Media Use
  • SMEs Development and Digital Marketing
  • Halal products and consumer behavior
  • Food Security and Socioeconomic Dynamics
  • Islamic Finance and Communication
  • Big Data and Business Intelligence
  • Management and Optimization Techniques
  • Natural Language Processing Techniques
  • Sentiment Analysis and Opinion Mining
  • Computer Science and Engineering
  • Artificial Intelligence and Decision Support Systems
  • Public Health and Nutrition
  • Halal products and consumer behavior
  • Islamic Finance and Communication
  • Food Security and Socioeconomic Dynamics
  • Big Data and Business Intelligence
  • Management and Optimization Techniques
  • Artificial Intelligence and Decision Support Systems
  • Computer Science and Engineering
  • Sentiment Analysis and Opinion Mining
  • Natural Language Processing Techniques
  • Public Health and Nutrition

Keywords (DOAJ)

  • data mining
  • information systems
  • biotechnology
  • artificial intelligence
  • software engineering
  • computer science

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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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