Expert System To Diagnose Digestive Diseases In Human Using Forward Chaining And Certainty Factor Method

Main Article Content

Arif Wijianto Arif Wijianto
Indah Susilawati

Abstract

Digestive disease is the most common disease and often found in health community centers. Digestive diseases attack organs in the digestive system which can interfere the functions of other systems. If ignored, it can make the person’s condition become more severe. To solve the problem, the researcher attempted to design a smart system to help people to early recognize digestive diseases such as GERD, dyspepsia, cholera, hepatitis, appendicitis, dysentery and hemorrhoids. Based on the symptoms fed by the patients into the system, the system will use the forward chaining method and certainty factor as an inference machine that will produce a disease diagnosis. Of 36 patient data tested on the system and matched with the experts’ validation, 34 of them matched. The system has an accuracy level of 94.4% of the tested data. The results are expected to provide an initial medium of consultation to help people diagnose digestive diseases.


Keywords: Certainty Factor, Forward Chaining, digestive diseases, expert system.

Article Details

Section
Articles

References

[1] I. S. Ma’rifati and C. Kesuma, “Pengembangan Sistem Pakar Mendeteksi Penyakit Pencernaan Menggunakan Metode Naive Bayes Berbasis Web,” Evolusi J. Sains dan Manaj., vol. 6, no. 1, Mar. 2018, doi: 10.31294/evolusi.v6i1.3543.
[2] N. B. Riyanto and O. Suria, “Sistem Pakar Diagnosa Penyakit Pencernaan Menggunakan Metode Teorema Bayes,” JMAI (Jurnal Multimed. Artif. Intell., vol. 2, no. 1, pp. 7–12, 2018, doi: 10.26486/jmai.v2i1.65.
[3] D. T. Yuwono, A. Fadlil, and S. Sunardi, “Penerapan Metode Forward Chaining Dan Certainty Factor Pada Sistem Pakar Diagnosa Hama Anggrek Coelogyne Pandurata,” Klik - Kumpul. J. Ilmu Komput., vol. 4, no. 2, p. 136, 2017, doi: 10.20527/klik.v4i2.89.
[4] I. Safar and A. Satria, “Jurnal Multimedia dan Teknologi Informasi Sistem Pakar Mendiagnosa Penyakit Pencernaan Dengan Metode Case Base Reasoning (Studi Kasus : RSUD Dr. H. Yuliddin Away),” Apr. 2020. doi: 10.22234/JATILIMA.V2I1.17.
[5] T. Sutojo, “Kecerdasan Buatan, Yogyakarta,” Penerbit Graha Ilmu, 2011.
[6] T. Kristiana, “Sistem pakar untuk mendiagnosa penyakit saluran pencernaan dengan metode forward chaining,” Inform. J. Ilmu Komput., vol. 14, pp. 65–80, 2018.
[7] Anita, Rodhy, R. Ningsih, and Solin, “Penerapan Metode Forward Chaining dan Certainty Factor untuk Diagnosa Penyakit pada Tanaman Bonsai,” JGK (Jurnal Guru Kita), vol. 3, no. 2, pp. 187–194, 2019.
[8] T. Sutojo, E. Mulyanto, and V. Suhartono, Kecerdasan Buatan. Yogyakarta: Andi, 2011.
[9] Y. W. N. Fitriya, N. Hidayat, and Marji, “Implementasi Metode Weighted Product – Certainty Factor untuk Diagnosa Penyakit Malaria,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. vol.2, pp. 2158–2163, 2018.
[10] E. Turban, “Decision Support Systems and Intelligent System,(Sistem Pendukung Keputusan dan Sistem Cerdas) Ed. 7. Jld. 2,” 2005.