Rule-Based Expert System for Diagnosing Breast Cancer Using Certainty Factor

Authors

  • Chiva Olivia Bilah Departemen Teknik Elektro dan Teknologi Informasi, Universitas Gadjah Mada, Yogyakarta
  • Ardian Infantono Prodi Teknik Aeronautika Pertahanan, Akademi Angkatan Udara, Yogyakarta, Indonesia

DOI:

https://doi.org/10.54706/senastindo.v3.2021.137

Keywords:

Expert System, Breast Cancer, forward chaining

Abstract

As we know that cancer has various types such as lung, cervical, breast, colon and so on.
Breast Cancer (BC) is a very serious health problem in Indonesia. Breast cancer ranks first as the most dangerous and is considered a 'killer'. Therefore, a strategy for early diagnosis of BC is needed to reduce the risk of death from breast cancer. This study uses an expert system using the forward chaining method and certainty factor to diagnose BC early based on the type of symptoms that exist. The development of the expert system in this study uses the CLIPS programming la

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References

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Admin, Kanker Payudara, Yayasan Kanker Payudara Indonesia, [Online]. Tersedia: https://pitapink-ykpi.or.id/tentang-kanker payudara [Diakses 24 Oktober 2020].
Giarratano, J. C., CLIPS User Guide, http:// www.ghg.net/clips/download/documentation/.

Achmad,Balza, Diktat Mata Kuliah Kecerdasan Buatan, Jurusan Teknik Fisika UGM, Yogyakarta, 2006.

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Halim, S., & Hansun, S. (2015). Penerapan Metode Certainty Factor dalam Sistem Pakar Pendeteksi Resiko Osteoporosis dan Osteoarthritis. ULTIMA Computing, VII(2).

Turban, E., Aronson, J.E. (2005). Decision support systems and intelligent systems, 6th. Edition; Prentice Hall International Edition, New Jersey.

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Published

2021-12-21

How to Cite

Bilah, C. O., & Infantono, A. (2021). Rule-Based Expert System for Diagnosing Breast Cancer Using Certainty Factor. Prosiding Seminar Nasional Sains Teknologi Dan Inovasi Indonesia (SENASTINDO), 3, 103–110. https://doi.org/10.54706/senastindo.v3.2021.137

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