AN ONLINE EXPERT SYSTEM FOR CONSULTATION SERVICES USING A MOBILE APPLICATION INTERFACE

Authors

  • Istiadi Istiadi Department of Electrical Engineering, Widyagama University of Malang, Indonesia
  • Faqih Rofii Department of Electrical Engineering, Widyagama University of Malang, Indonesia
  • Anis Qustoniah Department of Electrical Engineering, Widyagama University of Malang, Indonesia
  • Fitri Marisa Department of Informatics Engineering, Widyagama University of Malang, Indonesia
  • Guntur Dharma Putra Department of Computer Science, University of Groningen, the Netherlands

DOI:

https://doi.org/10.11113/jt.v78.8926

Keywords:

Expert system, android, decision tree, web service

Abstract

An expert system service that deals with public problems or wide ranges of users basically requires an alternative medium, which is accessible. This paper proposes interface expansion for Web and WAP based expert system consulting application using an Android application interface. An open and accessible web service is developed to provide an access to the Android application to reach the knowledge base in the form of a decision tree stored in a particular database. The Android application employs HTTP for accessing data in a JSON format through web service. Then, the consultation mechanism would run interactively following an available path in the decision tree model from initial symptom identification to reach a conclusion. 

References

Turban, E., and Aronson, JE. 1998. Decision Support System and Intelligent Systems, Prentice-Hall International Inc., New Jersey

Cole-Lewis, H., and Kershaw, T. 2010. Text Messaging As A Tool For Behavior Change In Disease Prevention And Management. Epidemiologic Reviews. 32(1): 56-69.

Déglise, C., Suggs, L. S., and Odermatt, P. 2012. Short Message Service (SMS) Applications For Disease Prevention In Developing Countries. Journal Of Medical Internet Research. 14(1): e3

Istiadi and Sulistiarini, E. B. 2013. Representing Knowledge Base into Database for WAP and Web-based Expert System, International Conference on Information Systems for Business Competitiveness (ICISBC 2013) , Semarang, Indonesia, December 5, 2013

Istiadi, Sulistiarini, E. B., and Putra, G.D. 2013. Enhancing Online Expert System Consultation Service with Short Message Service Interface. The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014), November 8, 2014, Semarang

Butler, M. 2011. Android: Changing the Mobile Landscape. IEEE Pervasive Computing. 10(1): 4–7. doi:10.1109/MPRV.2011.1.

Anacleto, R., Figueiredo, L., Almeida, A., and Novais, P. 2013. Transfering Data From A Server To An Android Mobile Application: A Case Study. Jurnal Teknologi. 63(3): 85-91.

Singh, M., and Dhindsa, K. S. 2013. Enhancing Interaction between Smartphones and Web services on Cloud for improved Bandwidth and latency. International Journal of Computer Science and Mobile Computing (IJCSMC). 2(4): 177-185.

Koufi, V., Malamateniou, F., Vassilacopoulos, G., and Prentza, A. 2012. An Android-Enabled Mobile Framework for Ubiquitous Access to Cloud Emergency Medical Services. 2012 Second Symposium on Network Cloud Computing and Applications (NCCA). 95–101. doi:10.1109/NCCA.2012.30

Darcey, L., and Conder, S. 2012. Android Wireless Application Development Volume I: Android Essentials. 1. Addison-Wesley Professional.

Escribano, J.J, Murciano, R., and Gervas, P. 2001. From Client’s Dreams to Achievable Projects: An Expert System For Determining Web Site Feasibility. Proceeding ICEIS 2001

Al-Taee, M., Zayed, A. Z., Abood, S. N., Al-Ani, M. A., Al-Taee, A. M., and Hassani, H. A. 2013. Mobile-based Interpreter Of Arterial Blood Gases Using Knowledge-Based Expert System. International Journal of Pervasive Computing and Communications. 9(3): 270-288.

Bodhe, M. K. D., Sawant, R. R., and Kazi, M. A. 2014. A Proposed Mobile Based Health Care System for Patient Diagnosis using Android OS. International Journal of Computer Science and Mobile Computing. 3(5): 422-427

Quesada-López, C., and Jenkins, M. 2013. A Prototype Mobile Expert System for Nutritional Diagnosis. The Twenty-Sixth International FLAIRS Conference 2013

Pradhan, B. 2013. A Comparative Study On The Predictive Ability Of The Decision Tree, Support Vector Machine And Neuro-Fuzzy Models In Landslide Susceptibility Mapping Using GIS. Computers & Geosciences. 51: 350-365.

Myles, A.J., Feudale, R.N. , Liu, Y., Woody, N.A., Brown, S.D. 2004. An Introduction To Decision Tree Modeling, Journal of Chemometrics. 18 (6): 275–285

W. H. O., 2009, Dengue Guidelines for Diagnosis, Treatment, Prevention And Control, Geneva: World Health Organization

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Published

2016-06-08

Issue

Vol. 78 No. 6-3: Advancement on Mechanical and Manufacturing Engineering Technology Part II

Section

Science and Engineering

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Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

AN ONLINE EXPERT SYSTEM FOR CONSULTATION SERVICES USING A MOBILE APPLICATION INTERFACE. (2016). Jurnal Teknologi, 78(6-3). https://doi.org/10.11113/jt.v78.8926