Expert System for Diagnosing Inflammatory Bowel Disease Using Certainty Factor and Forward Chaining Methods

Abstract views: 50 , pdf downloads: 54
Keywords: Expert System, Inflamatory Bowel Disease, Certainty Factor Method, Forward Chaining Method


Identification of inflammatory bowel disease quickly and accurately is motivated by the large number of patients who come with pain in the abdomen and receive minimal treatment because they are considered to be just ordinary abdominal pain. This study aims to identify inflammatory bowel disease which is still considered by some people as a common stomach ache quickly, and precisely and to recommend therapy that can be done as an initial treatment before getting medical action by medical personnel. The method used in this expert system research is a combination of forward chaining and certainty factors. The forward chaining method traces the disease forward starting from a set of facts adjusted to a hypothesis that leads to conclusions, while the certainty factor method is used to confirm a hypothesis by measuring the amount of trust in concluding the process of detecting inflammatory bowel disease. The results of this study are a conclusion from the process of identifying inflammatory bowel disease which begins with selecting the symptoms experienced by the patient so that the diagnosis results appear using forward chaining and certainty factor in the form of a percentage along with therapy that can be given to the patient to reduce pain in the abdomen. A comparison of the diagnosis results using the system and diagnosis by experts, in this case, specialist doctors, shows an accuracy rate of 82,18%, which means that the expert system diagnosis results can be accounted for and follow the expert diagnosis.

Author Biography

Linda Perdana Wanti, Politeknik Negeri Cilacap
Department of Informatics


D. Dohos et al., “Inflammatory bowel disease does not alter the clinical features and the management of acute pancreatitis: A prospective, multicentre, exact-matched cohort analysis,” Pancreatology, vol. 22, no. 8, pp. 1071–1078, 2022, doi: 10.1016/j.pan.2022.09.241.

J. Zhang et al., “m6A modification in inflammatory bowel disease provides new insights into clinical applications,” Biomed. Pharmacother., vol. 159, no. January, p. 114298, 2023, doi: 10.1016/j.biopha.2023.114298.

Y. Chen et al., “The treatment of inflammatory bowel disease with monoclonal antibodies in Asia,” Biomed. Pharmacother., vol. 157, no. November 2022, p. 114081, 2023, doi: 10.1016/j.biopha.2022.114081.

B. N. Limketkai et al., “Dietary Interventions for the Treatment of Inflammatory Bowel Diseases: An Updated Systematic Review and Meta-analysis,” Clin. Gastroenterol. Hepatol., 2023, doi: 10.1016/j.cgh.2022.11.026.

F. S. Macaluso et al., “Reduced humoral response to two doses of COVID-19 vaccine in patients with inflammatory bowel disease: Data from ESCAPE-IBD, an IG-IBD study,” Dig. Liver Dis., vol. 55, no. 2, pp. 154–159, 2023, doi: 10.1016/j.dld.2022.08.027.

A. Armuzzi et al., “Female reproductive health and inflammatory bowel disease: A practice-based review,” Dig. Liver Dis., vol. 54, no. 1, pp. 19–29, 2022, doi: 10.1016/j.dld.2021.05.020.

D. Wang et al., “Influence of sleep disruption on inflammatory bowel disease and changes in circadian rhythm genes,” Heliyon, vol. 8, no. 10, 2022, doi: 10.1016/j.heliyon.2022.e11229.

D. Arda, H. Hartaty, and H. Hasriani, “Studi Kasus Pasien dengan Diare Rumah Sakit di Kota Makassar,” J. Ilm. Kesehat. Sandi Husada, vol. 11, no. 1, pp. 461–466, 2020, doi: 10.35816/jiskh.v11i1.324.

A. Suzuki, R. Noro, J. Omori, Y. Terasaki, and T. Tanaka, “Pulmonary manifestation of inflammatory bowel disease: Two case reports,” Respir. Med. Case Reports, p. 101914, 2023, doi: 10.1016/j.rmcr.2023.101914.

M. H. Weisman, O. Stens, H.-S. Kim, J. K. Hou, F. W. Miller, and C. F. Dillon, “Axial Pain and Arthritis in Diagnosed Inflammatory Bowel Disease: US National Health and Nutrition Examination Survey Data,” Mayo Clin. Proc. Innov. Qual. Outcomes, vol. 6, no. 5, pp. 443–449, 2022, doi: 10.1016/j.mayocpiqo.2022.04.007.

M. H. Weisman, Oleg Stens, H. Seok Kim, J. K. Hou, F. W. Miller, and C. F. Dillon, “Inflammatory Bowel Disease Prevalence: Surveillance data from the U.S. National Health and Nutrition Examination Survey,” Prev. Med. Reports, vol. 33, no. September 2022, p. 102173, 2023, doi: 10.1016/j.pmedr.2023.102173.

D. Santra, S. K. Basu, J. K. Mandal, and S. Goswami, “Rough set based lattice structure for knowledge representation in medical expert systems: Low back pain management case study,” Expert Syst. Appl., vol. 145, p. 113084, 2020, doi: 10.1016/j.eswa.2019.113084.

L. P. Wanti and Lina Puspitasari, “Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 6, no. 1, pp. 16–24, 2022, doi: 10.29207/resti.v6i1.3599.

O. Somantri, R. H. Maharrani, and L. P. Wanti, “An Optimize Weights Naïve Bayes Model for Early Detection of Diabetes,” Telematika, vol. 15, no. 1, pp. 14–22, 2022, doi: 10.35671/telematika.v15i1.1307.

L. P. Wanti and S. Romadhon, “Implementasi Forward Chaining Method Pada Sistem Pakar Untuk Deteksi Dini Penyakit Ikan,” Infotekmesin, Aug. 2020, doi: 10.35970/infotekmesin.v11i2.248.

B. Sapriatin and A. F. Sianturi, “JURNAL MEDIA INFORMATIKA [JUMIN] Penerapan Teorema Bayes Mendeteksi Stunting pada Balita,” J. Media Inform., vol. 3, pp. 24–37, 2021.

T. Lerisa, B. Sembiring, A. Alhafiz, and T. Syahputra, “Sistem Pakar Mendiagnosa Radang Usus Pada Pencernaan Manusia Dengan Metode Dempster Shafer,” J. Sist. Inf. Tgd, vol. 2, no. 3, pp. 443–451, 2023.

F. Nugroho and A. U. Bani, “Penerapan Metode Dempster Shafer Pada Sistem Pakar Diagnosa Penyakit Usus Halus,” J. Media Inform. Budidarma, vol. 6, no. 1, p. 243, 2022, doi: 10.30865/mib.v6i1.3468.

Y. P. Hastuty, M. Ramadhan, and E. F. Ginting, “Penerapan Metode Dempster Shafer Pada Penyakit Radang Usus,” J. Sist. Inf. Tgd, vol. 2, no. 1990, pp. 545–555, 2023.

I Putu Dody Suarnatha and I Made Agus Oka Gunawan, “Implementasi Metode Certainty Factor dalam Sistem Pakar Deteksi Penyakit Pencernaan pada Manusia,” J. CoSciTech (Computer Sci. Inf. Technol., vol. 3, no. 2, pp. 73–80, 2022, doi: 10.37859/coscitech.v3i2.3872.

K. Kirman, A. Saputra, and J. Sukmana, “Sistem Pakar Untuk Mendiagnosis Penyakit Lambung Dan Penanganannya Menggunakan Metode Dempster Shafer,” Pseudocode, vol. 6, no. 1, pp. 58–66, 2019, doi: 10.33369/pseudocode.6.1.58-66.

C. Nas, “Sistem Pakar Diagnosa Penyakt Tiroid Menggunakan Metode Dempster Shafer,” J. Teknol. Dan Open Source, vol. 2, no. 1, pp. 1–14, 2019, doi: 10.36378/jtos.v2i1.114.

G. Salsabila, R. Arafiyah, and F. H. Indiyah, “Sistem Pakar Diagnosa Demam Berdarah Dengue Menggunakan Metode Certainty Factor,” J-KOMA J. Ilmu …, vol. 15, no. 2, 2020, [Online]. Available:

H. Andrianof, “Sistem Pakar Stunting Pada Balita Menggunakan Metode Forward Chaining & Naïve Bayes,” J. Sains Inform. Terap., vol. 1, no. 2, pp. 115–119, 2022, [Online]. Available:

R. Ardiansyah, F. Fauziah, and A. Ningsih, “Sistem Pakar Untuk Diagnosa Awal Penyakit Lambung Menggunakan Metode Dempster-Shafer Berbasis Web,” J. Ilm. Teknol. dan Rekayasa, vol. 24, no. 3, pp. 182–196, 2019, doi: 10.35760/tr.2019.v24i3.2395.

D. Aldo, “Sistem Pakar Diagnosis Hama Dan Penyakit Bawang Merah Menggunakan Metode Dempster Shafer,” Komputika J. Sist. Komput., vol. 9, no. 2, pp. 85–93, 2020, doi: 10.34010/komputika.v9i2.2884.

F. Wajidi and D. N. Nur, “Sistem Pakar Diagnosis Penyakit Stunting pada Balita menggunakan Metode Forward Chaining,” J. Inform. Univ. Pamulang, vol. 6, no. 2, pp. 401–407, 2021, [Online]. Available:

I. Bahroni, L. P. Wanti, N. W. Rahadi, A. A. Hartono, and R. Purwanto, “Implementation of Forward Chaining for Diagnosis of Dengue Hemorrhagic Fever,” J. Innov. Inf. Technol. Appl., vol. 4, no. 1, pp. 32–42, 2022, doi: 10.35970/jinita.v4i1.1204.

A. Makarios and M. I. Prasetiyowati, “Rancang Bangun Sistem Pakar untuk Diagnosis Penyakit Mulut dan Gigi dengan Metode Fuzzy Logic,” J. Ultim., vol. 4, no. 2, pp. 1–6, 2012, doi: 10.31937/ti.v4i2.313.

R. Rizky, S. Sukisno, M. Ridwan, and Z. Hakim, “Implementasi Metode Forward Chaining Untuk Diagnosa Penyakit Covid 19 Di Rsud Berkah Pandeglang Banten,” J. Teknol. Inf., vol. 4, no. 1, pp. 69–72, 2020, doi: 10.36294/jurti.v4i1.1212.

S. Rofiqoh, D. Kurniadi, and A. Riansyah, “Sistem Pakar Diagnosa Penyakit Pada Tanaman Karet Menggunakan Metode Forward Chaining,” Ranc. Bangun e-CRM pada Pasar Murah Solo, vol. 1, no. 1, pp. 54–60, 2020.

J. Yuan, S. Zhang, S. Wang, F. Wang, and L. Zhao, “Process abnormity identification by fuzzy logic rules and expert estimated thresholds derived certainty factor,” Chemom. Intell. Lab. Syst., vol. 209, no. August 2020, p. 104232, 2021, doi: 10.1016/j.chemolab.2020.104232.

C. Jiang, W. Fan, N. Yu, and E. Liu, “Spatial modeling of gully head erosion on the Loess Plateau using a certainty factor and random forest model,” Sci. Total Environ., vol. 783, p. 147040, 2021, doi: 10.1016/j.scitotenv.2021.147040.

D. D. S. Fatimah, Y. Septiana, and G. Ramadhan, “Rancang Bangun Aplikasi Sistem Pakar Diagnosa Penyakit Stunting Berbasis Web Menggunakan Metode Certainty Factor,” J. Algoritm., vol. 19, no. 2, pp. 547–557, 2022, doi: 10.33364/algoritma/v.19-2.1144.

A. A. S. Nugraha, N. Hidayat, and L. Fanani, “Sistem Pakar Diagnosis Penyakit Kucing Menggunakan Metode Naive Bayes – Certainty Factor Berbasis Android,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 2, pp. 650–658, 2018.

N. W. A. Prasetya, L. P. Wanti, L. Sari, and L. Puspitasari, “Sistem Pakar Deteksi Dini Penyakit Preeklamsia pada Ibu Hamil Menggunakan Metode Certainty Factor,” Infotekmesin, vol. 13, no. 1, pp. 168–177, 2022, doi: 10.35970/infotekmesin.v13i1.1050.

R. M. Memmott, A. R. Wolfe, D. P. Carbone, and T. M. Williams, “Pulmonary Manifestations of Inflammatory Bowel Disease and Treatment Strategies,” J. Thorac. Oncol., p. 101890, 2023, doi: 10.1016/j.chpulm.2023.100018.

S. Aghamohammad, A. Sepehr, S. T. Miri, S. Najafi, M. R. Pourshafie, and M. Rohani, “Ameliorating inflammation in an in vitro model by screening the anti-inflammatory and immunomodulatory roles of putative probiotics in inflammatory bowel disease,” Heliyon, vol. 9, no. 9, p. e19475, 2023, doi: 10.1016/j.heliyon.2023.e19475.

Y. Yan et al., “Commensal bacteria promote azathioprine therapy failure in inflammatory bowel disease via decreasing 6-mercaptopurine bioavailability,” Cell Reports Med., vol. 4, no. 8, p. 101153, 2023, doi: 10.1016/j.xcrm.2023.101153.

S. Ahmed et al., “Intestinal tuberculosis and inflammatory bowel disease; the usual challenging differential diagnoses: A case report,” Radiol. Case Reports, vol. 18, no. 10, pp. 3680–3685, 2023, doi: 10.1016/j.radcr.2023.07.035.

PlumX Metrics