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IJIET 2016 Vol.6(11): 913-916 ISSN: 2010-3689
DOI: 10.7763/IJIET.2016.V6.816

Design and Development of Online Dog Diseases Diagnosing System

Munirah M. Y., Suriawati S., and Teresa P. P.

Abstract—There are varied common diseases that can infect dogs. If dog had been infected by certain diseases, some of the guardian will try to treat their infected dog on their own. This happen for those who are breeding dog, yet have no time to take the dog to meet veterinary when their dogs is unwell. However, sometimes this treatment was not suitable with that particular problem and can make it become worse. Thus in this paper, our objective is to develop a set rules that focus on diagnosing seven common dogs diseases which are Distemper, leptospirosis, Glaucoma, Colitis, Kennel Cough, Parvo Virus and Jaundice. In the near future, we will develop an Online Dogs Diseases Diagnosing System that used the concept of expert system to user in detecting the diseases, provide treatment and useful suggestion.

Index Terms—Expert system, forward chaining, veterinary, dogs’ diseases.

Munirah M. Y. is with the Software Engineering Department of University of Tun Hussein Onn Malaysia, Malaysia (e-mail: munirah@uthm.edu.my).
Suriawati S. is with the Multimedia Department of University of Tun Hussein Onn Malaysia, Malaysia (e-mail: suriati@uthm.edu.my).
Teresa P. P. is with the Faculty of Science Computer and Information Technology, University Tun Tun Hussein Onn Malaysia, Malaysia (e-mail: tp_teresa@hotmail.com).

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Cite: Munirah M. Y., Suriawati S., and Teresa P. P., "Design and Development of Online Dog Diseases Diagnosing System," International Journal of Information and Education Technology vol. 6, no. 11, pp. 913-916, 2016.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • 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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