Sistem Pakar Diagnosa Penyakit THT Menggunakan Inferensi Forward Chaining dan Metode Certainty Factor

  • Bhintang Dirgantara Universitas Bumigora
  • Hairani Hairani Universitas Bumigora
Keywords: ENT Desease, Certainty Factor, Expert System, Forward Chaining

Abstract

Currently, Ear, Nose, and Throat (ENT) has become a disease that is quite common in the world. In Indonesia, people with ENT disease are around 190-230 per 1000 population. The types of diseases studied in this study were Serous Orthitis Media, Nasal Polyps, Acute Pharyngitis, Retrofaryngeal Abscess, and Nafosaryngeal Carcinoma. The purpose of this study was to make an application of an expert system for the diagnosis of ENT diseases using forward chaining inference and certainty factors that can facilitate medical personnel to diagnose types of ENT diseases. The stages of developing an expert system in this study consisted of problem identification for problem domain, knowledge acquisition was used to obtain the MB and MD value of each symptom in ENT disease with the interview method, the design was used to design knowledge representations such as decision tables and inference engine. With the expert system of ENT disease diagnosis, it can make it easier for doctors to make decisions, or the right diagnosis of a symptom that arises in ENT, so that proper treatment is obtained and minimizes the occurrence of misdiagnoses

References

[1] W. Verina, “Penerapan Metode Forward Chaining untuk Mendeteksi Penyakit THT,” J. Tek. Inform. Dan Sist. Inf., vol. 1, no. 2, pp. 123–138, 2015.
[2] M. Dahria, “Pengembangan Sistem Pakar Dalam Membangun Suatu Aplikasi,” J. SAINTIKOM, vol. 10, no. 3, pp. 199–205, 2011.
[3] F. S. Fachir, N. Qamariah, D. Marisa, P. Studi, P. Dokter, and F. Kedokteran, “Hubungan Tonsilitis Kronis dan Otitis Media Efusi di Bagian THT RSUD Ulin Banjarmasin Tahun 2014,” Berk. Kedokt., vol. 12, no. 1, pp. 27–32, 2014.
[4] F. Abdi, E. Hakim, N. Hidayat, and R. K. Dewi, “Sistem Pakar Diagnosis Penyakit Telinga Hidung Tenggorokan (THT) Menggunakan Metode Naive Bayes Berbasis Android,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 4, pp. 1492–1500, 2018.
[5] A. Djulya, I. Pratiwi, D. E. Ratnawati, and A. W. Widodo, “Diagnosis Penyakit THT Menggunakan Metode Fuzzy K-NN,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 10, pp. 4238–4245, 2018.
[6] H. Hairani, M. N. Abdillah, and M. Innuddin, “An Expert System for Diagnosis of Rheumatic Disease Types Using Forward Chaining Inference and Certainty Factor Method,” in 2019 International Conference on Sustainable Information Engineering and Technology (SIET), 2019, pp. 104–109.
[7] L. A. Latumakulita, “Sistem Pakar Pendiagnosa Penyakit Anak Menggunakan Certainty Factor (CF),” J. Ilm. SAINS, vol. 12, no. 2, pp. 120–126, Dec. 2012, doi: 10.35799/jis.12.2.2012.705.
[8] H. Rudi and S. Kalimatus, “Sistem Pakar Diagnosis Penyakit dan Hama Pada Tanaman Tebu Menggunakan Metode Certainty Factor,” JOINTECS) J. Inf. Technol. Comput. Sci., vol. 4, no. 1, pp. 2541–3619, 2019, doi: 10.31328/jo.
[9] M. Arifin, S. Slamin, and W. E. Y. Retnani, “Penerapan Metode Certainty Factor Untuk Sistem Pakar Diagnosis Hama Dan Penyakit Pada Tanaman Tembakau,” Berk. SAINSTEK, vol. 5, no. 1, p. 21, Sep. 2017, doi: 10.19184/bst.v5i1.5370.
[10] H. Hairani, K. Kurniawan, K. A. Latif, and M. Innuddin, “Metode Dempster-Shafer untuk Diagnosis Dini Jenis Penyakit Gangguan Jiwa Skizofrenia Berbasis Sistem Pakar,” Sist. J. Sist. Inf., vol. 10, no. 2, pp. 280–289, 2021, doi: 10.32520/stmsi.v10i2.1195.
[11] H. Hairani, M. N. Abdillah, and M. Innuddin, “Perancangan Sistem Pakar Diagnosis Penyakit Rematik Menggunakan Inferensi Forward Chaining Berbasis Prolog,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 4, no. 1, pp. 8–11, 2019, doi: 10.30743/infotekjar.v4i1.1377.
[12] S. Halim and S. Hansun, “Penerapan Metode Certainty Factor dalam Sistem Pakar Pendeteksi Resiko Osteoporosis dan Osteoarthritis,” J. Ultim. Comput., vol. 7, no. 2, pp. 59–69, Aug. 2016, doi: 10.31937/sk.v7i2.233.
Published
2021-07-10
Section
Articles