Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor

Authors

  • Betti Mastaria Br Sembiring STMIK Pelita Nusantara, Medan
  • Paska Marto Hasugian Lecturer Teknik Informatika, STMIK Pelita Nusantara, Medan

DOI:

https://doi.org/10.47709/cnapc.v2i1.373

Dimension:

Keywords:

Applications, Disease, Diagnosis, Certainty Factor

Abstract

Nowadays computers are widely used in the medical world to aid in the diagnosis of a disease. The most frequently encountered Penyakityang adalahpenyakitTuberculosis. Therefore, prevention of tuberculosis disease begins with diagnosing dini.Salah a technique in diagnosing tuberculosis disease is an expert system. Therefore research inibertujuan construct an expert system that is used for early diagnosis of Tuberculosis disease by gejalayang in anguish. The system displays the amount of credence to the possibility of disease symptoms yangdiderita users. The value of these beliefs using Certainty Factor, because the CF is able to determine the value of trust in a greater uncertainty and be able to demonstrate absolute confidence.

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References

[1] Sinaga, B., Hasugian, PM, & Manurung, AM (2018). Diagnosing Expert System Damage Smartphone. 3 (1).
[2] Sujadi, H., & Suhaeni, E. (2016). Expert System Using Disease With Symptoms Fever. 2016 (Sentika), 18-19.
[3] Surya, R., & Gunawan, D. (2018). Situsparu: Expert System to Detect Tuberculosis Disease. Ultimatics Journal, 10 (1), 41-47. https://doi.org/10.31937/ti.v10i1.781
[4] Aini, N., Ramadiani, R. and Hatta, HR (2017) 'Expert Systems Pendiagnosa Tuberculosis', Informatics Mulawarman: Scientific Journal of Computer Science. doi: 10.30872 / jim.v12i1.224.
[5] Dahria, M. (2011) 'Development of Expert System In Building An App', Journal Saintikom.
[6] Hendrianto, DE (2014) 'Making Website Library Information System Based On First middle school Donorojo Negeri 1 Pacitan', Indonesia Journal on Networking and Security.
[7] Listiyono, H. (2008) 'Designing and Making Expert System', Journal of Dynamic Information Technology.
[8] Miranda, R. et al. (2016) 'Diagnose Disease Expert System Root Fungus White (Riqidoporus lignosus) On Rubber Plant (Havea brasiliensis) With Certainty Factor Method', Journal of Computer Research (Jurikom).

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Published

2020-01-01

How to Cite

Br Sembiring, B. M., & Hasugian, P. M. (2020). Tuberculosis Disease Diagnosis Expert System Method of Certainty Factor. Journal of Computer Networks, Architecture and High Performance Computing, 2(1), 129–134. https://doi.org/10.47709/cnapc.v2i1.373

Issue

Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing

Section

Articles

License

Copyright (c) 2019 Journal Of Computer Networks, Architecture and High Performance Computing

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Citation Tracker

Cited by: 2 documents

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Source: OpenAlex  · Updated 2026-11-08 05:00 UTC