Tropical diseases web-based expert system using certainty factor

Novi Yanti, Rahmad Kurniawan, Siti Norul Huda Sheikh Abdullah, Mohd Zakree Ahmad Nazri, Wilda Hunafa, Mardhiyah Kharismayanda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Indonesia is in the area of equatorial latitude which is known as a tropical climate country. On the other hand, many Indonesian people are prone to suffering typical tropical disease such as typhoid, dengue and malaria. With the motivation to curb disease, they should be informed about awareness, treatment and knowledge regarding to tropical diseases such as the symptoms, causes and early prevention. Web-based expert system is one well-known solution, which can access online via internet. Usually, traditional inference engine is possible to make misdiagnosis in medical domain. In addition, modern inference e.g. Bayes theory are complicated plus insufficient to substitute complete human brain reasoning activities. Therefore, this study aims to hybridize Forward Chaining and Certainty Factor method for diagnosing common tropical diseases suffered by Indonesian people. We have used ten types of tropical disease namely typhoid, dengue, chingkungunya fever, malaria, chicken pox, tuberculosis, diphtheria, pertussis, SARS and elephantiasis along with 38 symptoms for representing every disease into a knowledge base. We compare the results between expert's diagnosis and our proposed web-based expert system after running ten times consecutively. We can conclude that hybridization of Forward Chaining and Certainty Factor methods during developing the web-based expert system, can significantly diagnose tropical diseases properly.

Original languageEnglish
Title of host publicationProceedings - 2018 2nd International Conference on Electrical Engineering and Informatics
Subtitle of host publicationToward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages62-66
Number of pages5
ISBN (Electronic)9781538660003
DOIs
Publication statusPublished - 1 Oct 2018
Event2nd International Conference on Electrical Engineering and Informatics, ICon EEI 2018 - Batam, Indonesia
Duration: 16 Oct 201817 Oct 2018

Publication series

NameProceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018

Conference

Conference2nd International Conference on Electrical Engineering and Informatics, ICon EEI 2018
CountryIndonesia
CityBatam
Period16/10/1817/10/18

Fingerprint

Expert systems
Curbs
Inference engines
Factors
Tropical diseases
Web-based
Expert system
Brain
Internet
Malaria
Inference

Keywords

  • Certainty factor
  • Expert system
  • Tropical diseases

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Yanti, N., Kurniawan, R., Sheikh Abdullah, S. N. H., Ahmad Nazri, M. Z., Hunafa, W., & Kharismayanda, M. (2018). Tropical diseases web-based expert system using certainty factor. In Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018 (pp. 62-66). [8784331] (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICon-EEI.2018.8784331

Tropical diseases web-based expert system using certainty factor. / Yanti, Novi; Kurniawan, Rahmad; Sheikh Abdullah, Siti Norul Huda; Ahmad Nazri, Mohd Zakree; Hunafa, Wilda; Kharismayanda, Mardhiyah.

Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 62-66 8784331 (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yanti, N, Kurniawan, R, Sheikh Abdullah, SNH, Ahmad Nazri, MZ, Hunafa, W & Kharismayanda, M 2018, Tropical diseases web-based expert system using certainty factor. in Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018., 8784331, Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 62-66, 2nd International Conference on Electrical Engineering and Informatics, ICon EEI 2018, Batam, Indonesia, 16/10/18. https://doi.org/10.1109/ICon-EEI.2018.8784331
Yanti N, Kurniawan R, Sheikh Abdullah SNH, Ahmad Nazri MZ, Hunafa W, Kharismayanda M. Tropical diseases web-based expert system using certainty factor. In Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 62-66. 8784331. (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018). https://doi.org/10.1109/ICon-EEI.2018.8784331
Yanti, Novi ; Kurniawan, Rahmad ; Sheikh Abdullah, Siti Norul Huda ; Ahmad Nazri, Mohd Zakree ; Hunafa, Wilda ; Kharismayanda, Mardhiyah. / Tropical diseases web-based expert system using certainty factor. Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 62-66 (Proceedings - 2018 2nd International Conference on Electrical Engineering and Informatics: Toward the Most Efficient Way of Making and Dealing with Future Electrical Power System and Big Data Analysis, ICon EEI 2018).
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