Journal of Information Science and Technology

The Journal of Information Science and Technology (JIST) is an academic journal established by the collaboration of 19 faculties that conduct courses related to Information Technology, namely, Bangkok University, Dhurakij Pundit University, King Mongkut's Institute of Technology Ladkrabang, King Mongkut's University of Technology Nort Bangkok, King Mongkut's University of Technology Thonburi, Mae Fah Luang University, Mahanakorn University of Technology, Mahasarakham University, Mahidol University, Nakhon Phanom University, North Bangkok University, Panyapiwat Institute of Management, Prince of Songkla University, Rangsit University, Siam University, Silpakorn University, Sripatum University, Thai-Nichi Institute of Technology, and Walailak University. According to the agreement of deans of all faculties, Mahanakorn University of Technology was appointed as a coordinator of the journal. The journal was established in 2010 and plans to publish 2 issues per year.



Highlight of Current issue [JULY-DECEMBER 2015]


The Development of E-Learning Courseware of Unity-Mecanim
By.เอกพงษ์ นพวงศ์


This research aims to develop E-Learning courseware for Special topic in Computer Games and Multimedia on Unity-Mecanim Application course, study the learning achievement and evaluate the satisfaction of the students after using this E-Learning courseware. The sample of this research is seven students who enrolled in CGM499: Special topic in Computer Games and Multimedia on Unity-Mecanim Application course in the first semester of 2014. This E-Learning courseware was developed using Adobe Captivate 7.0 and divided into six chapters. Each chapter consists of Pre-test, Learning Contents, and Post-Test. The results showed that the contents and the presentation of this E-Learning courseware fulfilled the needs of the students and this E-Learning courseware could be used as the teaching materials inside the classroom or self-learning materials outside the classroom. << read full paper>>

Prediction of Human Emotions toward Abstract Images by Image Features and Eye Tracking Device
By. กิติ์สุชาต พสุภา, ภาณวี ฉัตรค้ำจุนเจริญ, โชติรส วุฒิเลิศเดชา


Currently, emotion semantic search technology can support users to access data in the database. This can cover user’s desirable which focuses on emotion concept. Given an image to different users, users’ emotion stimulated by the image might be different due to different areas of interest. This paper presents a novel approach to increase the accuracy of emotion based image classification by combining eye movement data with basic image feature. The results show that combining eye movement data together with color feature can yield better classification performance than using color feature alone. <<read full paper>>



other articles in Current issue

  • Effects of Typefaces, Rotations and Sets of Characters of text-based CAPTCHA on Human Affirmative Rates
  • Apply regression analysis and fuzzy logic to forecast the students status in curriculum of Business Information
<< Read more>>




NCIT-2006 by KMUTT
NCIT-2008 by RSU
NCIT-2010 by KMITL
NCIT-2012 by MUT
NCIT-2013 by KMUTT
NCIT-2014 by DPU
NCIT-2015 by KMITL
NCIT-2016 by WU
NCIT-2017 by MU


Manuscript Preparation Guide

The template for writing the journal is available for downloading . Length of the paper should be in between 6-10 pages of A4 size. Text should be typewritten or printed with double-spaced in 11-point of A4 white paper with margins of 1.5" for top, 1.25" for left, and 1" for bottom and right sides. All pages must be numbered sequentially. Here are some guidelines.


• Abstract which length 100-200 words
• Introduction which talks about the problem and related research
• Materials and methods use for experimentation
• Results of the experiment
• Discussion and Conclusion


Submissions Please submit your paper in MS Word to or