About the Journal


The Journal of Applied Informatics and Technology (JIT) is an international, peer-reviewed journal that serves as a platform for advancing knowledge and fostering the exchange of innovative research in informatics and technology. The journal is committed to bridging the gap between theory and practice by publishing high-quality articles that demonstrate significant contributions to real-world applications.

 

  • Journal title: Journal of Applied Informatics and Technology
  • Journal Abbreviation: J. Appl. Inform. Technol
  • Initial:  JIT
  • Languge: English (Start 2026)
  • Publication: 2 issues/year (No. 1: January - June, No. 2: July - December)
  • ISSN 3088-1803 (Online)
  • Digital Object Identifier (DOI): 10.14456/jait.
  • Article Processing Charges (APC): No charge
  • Editor-in-Chief: Olarik Surinta ORCID iD icon
  • Publisher: Faculty of Informatics, Mahasarakham University, Thailand
  • Citation Analysis: Google Scholar

 

Aim and Scope


Journal of Applied Informatics and Technology (JIT) aims to promote interdisciplinary exchange and collaboration among researchers, academics, and practitioners worldwide. The scope of the journal encompasses both theoretical advancements and empirical studies related to the design, development, testing, implementation, and management of informatics and technological solutions.

Areas of interest include, but are not limited to, 

  • Information Technology
  • Computer Science
  • Geo-Informatics
  • Information Science and Management
  • Digital Media
  • Communication Arts

With a broad scope, JIT aims to advance academic excellence, foster innovation, and contribute to the global progress of applied informatics and technology. Further details on subject areas and categories are available at the following link: Subject areas and categories

 

Types of Manuscripts


 

The JIT journal welcomes submissions in three academic formats: 

  • Research article: Presents original findings based on systematic investigation, including methodology, data analysis, results, and discussion that contribute new knowledge to the field.
  • Review article: Provides a comprehensive and critical summary of existing research on a specific topic, highlighting key developments, trends, gaps, and future research directions.
  • Academic article: Offers scholarly discussion, conceptual analysis, or case studies that advance theoretical understanding or practical applications without necessarily presenting new experimental data.

 

Language


Submissions are required to be written in clear, concise English with correct grammar and spelling.

 

Brief Overview of Review Process


The articles must be original and never be published in any other websites or other journals before. The articles which are considered as “plagiarism” articles are strongly prohibited to be published in the JIT journal. The JIT is dedicated to preventing accusations of dishonest publication-plagiarism, the redundant publication (self-plagiarism), author misrepresentation, and content falsification. The manuscript submitted to JIT should not have a similarity index score of more than 25% and the item in the list should have a similarity index score below or equal to 2% when using plagiarism applications, such as turnitin. The editor will immediately reject any manuscript that fails to meet the requirement of the JIT.

Authors are required to include their names and affiliations in their manuscripts, whereas reviewers are not visible to authors. All submitted manuscripts are subjected to peer-review by at least three independent reviewers and all experts come from various institutions and are not specialists from the same institution as the author. Peer reviews are done by a double-blind review method where the identity of the reviewers and the authors are not disclosed to either party.

The final decision regarding acceptance, revision, or rejection rests with the Editor-in-Chief.

For more details of the peer review process, please follow this link: Peer Review Process

 

Indexed In 


 

Editorial Board Update

2026-01-19

The Journal of Applied Informatics and Technology is pleased to announce the appointment of a new editorial team.

Editor-in-Chief
Assoc. Prof. Olarik Surinta

Associate Editors
Assoc. Prof. Gamgarn Somprasertsri
Asst. Prof. Manasawee Kaenampornpan
Assoc. Prof. Patiwat Littidej
Prof. Rapeepan Pitakaso
Assoc. Prof. Sakorn Mekruksavanich
Asst. Prof. Suwich Tirakoat
Prof. Wanida Kanarkard

We look forward to advancing the quality and impact of the journal under this new editorial leadership.

For more information, please visit:
https://ph01.tci-thaijo.org/index.php/jait/about/editorialTeam

 

Online First Publication

2025-10-29

📢 Announcement from the Journal of Applied Informatics and Technology (JIT) The Journal of Applied Informatics and Technology (JIT) is pleased to announce the implementation of the Online First Publication system, effective from October 25, 2026 🎉     From now on, all accepted manuscripts that have successfully passed the peer-review process and have been formatted according to the journal’s template will be immediately published online on the JIT website.     🔗 Visit the Online First section here: 👉 https://ph01.tci-thaijo.org/index.php/jait/issue/view/17651 Stay tuned for new research articles and updates from JIT!      

Most Viewed and Downloaded Articles from JIT (Last 30 Days)

2025-08-21

We are pleased to announce the most viewed and downloaded articles of the past 30 days from the Journal of Applied Informatics and Technology (JIT):         We congratulate the authors for the impact of their contributions and thank our readers for their continued interest in JIT publications.

Vol. 8 No. 2 (2026): July - December (In Progress)

Contents

- Ubiquitous Collaborative Learning Applications: Driving Gender-Inclusive Success in Computer Education (Article ID: 260208)
- Detection and Correction of Homophone Errors in Thai Language using Machine Learning Techniques in Courtroom Transcriptions (Article ID: 260682)
- Students' Perceptions of ChatGPT in Higher Education: A Quantitative Study on Usability and Expectations (Article ID: 260577)
- User-Centric Design Thinking Framework for Digital Transformation: Bridging the Digital Literacy Gap in Thai Manufacturing SMEs (Article ID: 260252)
- A Comparative Study of Game-Based Learning and Collaborative Learning in Computer Programming: Impact on Motivation to Learn, Programming Skills, and Learning Achievement (Article ID: 260398)
- Automated Question Answering for Thai Visa Services using GPT-4: System Architecture, Custom Dataset, and Performance Evaluation (Article ID: 262526)
- Comparative Analysis of Transformer-Based Models for Extracting Skills from Information Technology Job Posting using Named Entity Recognition (Article ID: 262521)
- Automated Prioritization for Maonitoring and Tracking Service Requests using Named Entity Recognition Technique (Article ID: 262860)
- Roady: The Application for Assessing Risk Factors in Driving Activities (Article ID: 260707)
- Optimizing Fruit Nutrition Data Presentation for Improved User Experience in the RSPG-Burapha Ecosystem (Article ID: 260586)
-
Modeling to Measure the Diffusion Distance of Particulate Matter 2.5 from Combustion of Agricultural Areas (Article ID: 260470)
- Machine Learning for Electric Vehicle Stock Price Prediction: Analyzing Artificial Neural Network and Random Forest Performance (Article ID: 260666)

Published: 2026-06-16

Students' Perceptions of ChatGPT in Higher Education: A Quantitative Study on Usability and Expectations

Yuwanuch Gulatee, Api Khamproh, Phumin Hongma, Rawiworn Hongma, Wantipa Unarat

260577

Comparative Analysis of Transformer-Based Models for Extracting Skills from Information Technology Job Posting using Named Entity Recognition

Anucha Ruangsiriwattanakul, Phanuwat Khanja, Chanida Ruangsiriwattanakul, Krit Chaiwannakoop

262521

Modeling to Measure the Diffusion Distance of Particulate Matter 2.5 from Combustion of Agricultural Areas

Ekkawit Sittiwa, Warachanan Choothong, Thiraphat Meesumrarn, Withoon Sontipak, Krisda Khankasikam, Khaninnat chotphornseema

260470

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