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IJIET 2017 Vol.7(10): 712-715 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.10.959

The Automatic Consulting System in Higher Education Institution

Jarumon Nookhong and Nutthapat Kaewrattanapat

Abstract—This research was a research and development project that aimed to develop an automatic system to assist and support consultation about University information. These can be categorized into four groups: 1). Education; 2). Expenses; 3). Privacy issues and 4). other issues, and to assess the efficiency of the automatic consulting system. The system was developed in the form of mobile web access applications based on mobile queries, whereas THSplitlib was used for Thai word wrapping which was operated using Dictionary-Based Approach which compared input with the words stored in the dictionary. A review of the results of the assessment by experts found that the average total was at 4.25 with a standard deviation of 0.71. This showed that the system's performance was good and that the assessment on the part of the experts tended in the same direction. It was concluded from the research that the counseling is effective in terms of improving automation levels.

Index Terms—Automatic consulting system, Thai-text classification, recommended system.

The authors are with Faculty of Humanities and Social Sciences, Suan Sunandha Rajabhat University, Bangkok (SSRU), Thailand (e-mail: jarumon.no@ssru.ac.th, nutthapat.ke@ssru.ac.th).


Cite: Jarumon Nookhong and Nutthapat Kaewrattanapat, "The Automatic Consulting System in Higher Education Institution," International Journal of Information and Education Technology vol. 7, no. 10, pp. 712-715, 2017.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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