1. Home
  2. Vol 2, No 3 (2022)
  3. Fajarwati

EXPERT SYSTEM FOR HEPATITIS DISEASE DIAGNOSIS USING FUZZY TSUKAMOTO METHOD BASED ON WEBSITE IN RSUD PRINGSEWU

Elvia Fajarwati(1), Niva Kurnia Sari(2),


(1) Departement of Informatics Engineering, STMIK Surya Intan, Lampung
(2) Departement of Information Systems, Faculty of Technology and Computer Science, Bakti Nusantara Institute, Lampung
Corresponding Author

Abstract


The liver is a vital organ in humans, which functions as the formation and secretion of bile, and as a detoxification of poisons. Hepatitis is difficult to detect at an early stage but handling hepatitis at an early stage will greatly help the recovery of patients. With the increase in the number of Hepatitis sufferers besides being caused by an unhealthy lifestyle, it is also caused by the delay in handling when experiencing initial symptoms. So, this study aims to design an Expert System to diagnose hepatitis with a website-based Fuzzy Tsukamoto method so that it can facilitate access to information for people who need information about hepatitis. Website-based system design using the Fuzzy Tsukamoto method because it is considered flexible enough and has a tolerance to data that is not appropriate and based on natural language. Expert system as a tool in determining whether the patient is suffering from hepatitis or not with the Tsukamoto fuzzy method. The results of the discussion can be concluded that this system is designed with a simple model so that it can be used by the community.

Keywords


Expert systems, Fuzzy Tsukamoto, Hepatitis

References


Sulaiman 1995, http://www2.kompas.com/ ver1/ Health/0710/19/o32215.htm/)

http://www2.kompas.com/ver1/Kesehatan/071 0 /19/o32215.htm/

D. Permadi, "Expert System for Diagnosing Liver Disease," J. PROSISKO Vol., Vol. 5, no. 1, pp. 17–26, 2018.

Hartati, Sri. Iswanti, S. 2008. Its Expert and Development System. Yogyakarta: Graha Ilmu.

Kusumadewi. 2010. Liver Disease Diagnosis Expert System Using Android-Based Fuzzy Tsukamoto Method. Brawijaya University

Sutojo. 2011. Liver Disease Expert System Using Website-Based K-Nearest Neighbors Algorithm. Gorontalo: Ichsan University

Pujiyanta. 2012. Expert System for Diagnosing Hepatitis with the Fuzzy Tsukamoto Method. Yogyakarta: Ahmad Dahlan University

P. Amanda and H. Mustafidah, "Expert System for Diagnosing Liver Disease Using the Forward Chaining Method (Expert System for Diagnosing Liver Disease Using Forward Chaining)," Tek. Inform. Univ. Muhammadiyah Purwokerto, vol. I No. 4, pp. 143–155, 2011.

P. Widodo, "Rule-Based Classifier for Detecting Liver Disease," Bianglala Inform., Vol. II, no.1, pp. 71–80, 2014.


Full Text: PDF

Article Metrics

Abstract View : 183 times
PDF Download : 23 times

DOI: 10.56327/ijairtec.v2i3.49

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 International Journal of Artificial Intelligence and Robotic Technology