About the Journal

 

Welcome to the International Journal of Data Science (IJoDS), a peer-reviewed, open-access journal published by the Indonesian Society for Knowledge and Human Development (INSIGHT). IJoDS is dedicated to advancing the dynamic field of data science by disseminating high-quality research that spans the entire data lifecycle, effectively bridging theoretical foundations with impactful, real-world applications. We feature innovative work on cutting-edge methodologies such as machine learning, artificial intelligence, and big data analytics, applied across diverse interdisciplinary domains, and collaborate with EBSCO Information Services to enhance global visibility.

Explore our latest articles, or consider submitting your research to contribute to the global exchange of knowledge in data science!

ISSN: 2722-2039


Since its inception, the International Journal of Data Science (IJoDS) has grown into a dynamic platform for sharing valuable research and insights in the evolving field of data science. Through the journal's commitment to quality and collaboration, it has attracted contributions that highlight the interdisciplinary and global nature of data science. In this post, we celebrate some of the journal's key achievements and milestones.

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The International Journal of Data Science (IJoDS) is a peer-reviewed, open-access journal dedicated to publishing research that explores the diverse aspects of data science. By focusing on data collection, maintenance, processing, analysis, and communication, the journal provides a space for sharing valuable insights and advancing knowledge in this rapidly evolving field.

Read more ...
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Vol. 5 No. 2 (2024)

This issue will available online 31th December 2024 for the regular issue of December 2024. All articles in this issue (5 original research articles) were authored/co-authored by 18 authors from 4 countries (Indonesia, Iraq, Malaysia and United States).

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Articles

Visualizing Type 2 Diabetes Prevalence: Localizing Model Feature Impacts

Youssef Sultan, Mohammad Hammad, Kelly Lester
Abstract View : 107     PDF downloads: 75

PDF

64-74

The Accuracy Analysis of Loan Interest Rate Forecasting Using Double Exponential Smoothing Methods

Ansari Saleh Ahmar, Sitti Masyitah Meliyana, Abdul Rahman, Rusli
Abstract View : 43     PDF downloads: 21

PDF

75-79

A Proposed System of Smart Diagnosis based on AI for Early Disease Detection Aligned with Islamic Healthcare Values

Nur Ilyana Ismarau Tajuddin , Rozi Nor Haizan Nor , Muhammad Faizeen Hasan , Nur Amlya Abd Majid, Nur Idayu Ah Khaliludin , Nor Aziyatul Izni , Muhammad Nuruddin Sudin
Abstract View : 36     PDF downloads: 29

PDF

88-97