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DataCiteX Indexed Journal

Indonesian Journal of Artificial Intelligence and Data Mining

eISSN: 2614-6150 Indonesian Journal of Artificial Intelligence and Data Mining 2 issues per year

Explore the Indonesian Journal of Artificial Intelligence and Data Mining journal profile, Artificial Intelligence research coverage, citation metrics and scholarly impact.

DataCiteX Citation Score Three-year citation performance metric
Latest DCS 75.43 2026
528 Citations 2024 – 2026
÷
7 Documents 2024 – 2026
Journal Profile

Journal Information

Core publishing, identification and journal profile details.

Journal Title Indonesian Journal of Artificial Intelligence and Data Mining
eISSN 2614-6150
Publisher Indonesian Journal of Artificial Intelligence and Data Mining
Frequency 2 issues per year
Start Year 2018
Editor in Chief Mustakim
Research Performance

Journal Metrics

Citation performance, DataCiteX Citation Score, ranking and research impact indicators.

Live Metrics
Top Performing Year
2025
Avg Citations / Year
118.38
Citations / Article
7.48
Latest DCS
75.43
Zone Ranking
Z1
Impact Factor
19.455
Performance Summary

Smart Insight

Auto Summary

Top citation year was 2025 with 214 citations. Average citations per year stand at 118.38. Each indexed article contributes around 7.48 citations on average. Latest CiteScore for 2026 is 75.43, indicating a Upward trend. Based on 2025 CiteScore comparison across active journals, this journal falls in Z1. Most cited article currently has 162 citations.

DataCiteX Citation Score

DCS Trend

6 Years
Article Performance

Most Cited Article

162 Cites
2018

Random Forest Algorithm for Prediction of Precipitation

A Primajaya, BN Sari
Indonesian Journal of Artificial Intelligence and Data Mining 1 (1), 27-31, 2018
Citation Intelligence

Citation Snapshot

Current citation and indexing performance of this journal.

Last Updated 11 Aug 2026
Total Citations 973 All-time citation count
H-Index 15 Citation impact indicator
I10-Index 26 Articles with 10+ citations
Indexed Articles 131 Articles currently indexed
Citation History

Yearly Citation Performance

Review annual citation counts and citation growth trends over time.

Annual Data

Yearly Citations

Year Citations
2026
110
2025
214
2024
204
2023
150
2022
122
2021
94
2020
43
2019
10
Trend Analysis

Citation Trend

Journal Overview

About This Journal

Learn more about the journal, its editorial focus and research coverage.

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech), Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides an online platform for publishing scientific articles from research in the field of Artificial Intelligence and Data Mining. IJAIDM will be published 3 (three) times a year, in March, July, and November. Articles may be written in English with 20% Similarity. Articles submitted to IJAIDM will be reviewed by at least 2 (two) reviewers. The submitted article must meet the assessment criteria and in accordance with the instructions and templates provided by IJAIDM. The author should upload the Statement of Intellectual/ Copyright Rights when submitting the manuscript. The paper must be submitted to the Open Journal Systems (OJS) in .doc or .docx format. IJAIDM is registered in the National Library with the International Standard Serial Number (ISSN) Printed: 2614-3372 and Online 2614-6150. IJAIDM uses Turnitin for plagiarism checks, Mendeley for reference management, and Crossref (DOI) for identifying scientific papers.
The Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) publishes high-quality original research, review articles, and applied studies in the fields of Artificial Intelligence (AI), Data Mining, and Intelligent Data Analytics. The journal welcomes contributions covering machine learning, deep learning, neural networks, computational intelligence, explainable artificial intelligence (XAI), knowledge discovery, pattern recognition, computer vision, natural language processing, text and web mining, predictive analytics, recommender systems, decision support systems, optimization algorithms, evolutionary computation, fuzzy systems, cloud computing, parallel and distributed computing, embedded systems, computer simulation, and data-driven applications in healthcare, education, business, finance, agriculture, manufacturing, environmental sciences, and other interdisciplinary domains. IJAIDM particularly encourages innovative methodologies, intelligent computational models, and practical AI solutions that address complex real-world problems and contribute to the advancement of intelligent computing and data-driven decision-making.
Research Output

Indexed Articles

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130 Articles Page 1 of 7
Showing 1 to 20 of 130 articles
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