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All Journal Building of Informatics, Technology and Science Jurnal Pengabdian Masyarakat Gemilang (JPMG) Journal of Management and Economics Research Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Journal of Economics, Management and Accounting (JEMA) Jurnal Mitra Pengabdian Farmasi
Purba, Elvitrianim
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : Building of Informatics, Technology and Science

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Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Autoimun Karim, Abdul; Esabella, Shinta; Kusmanto, Kusmanto; Suryadi, Sudi; Purba, Elvitrianim
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3407

Abstract

Autoimmune diseases are caused by the failure of the immune system to attack the body itself. According to data from the US Department of Health and Human Services, more than 23.5 million Americans have an autoimmune disease, which is difficult to diagnose because of the variety of symptoms it presents. Therefore, the development of mechanisms to identify autoimmune disorders is essential. One of the developing technologies in this field is the use of expert systems in diagnosing diseases. An expert system is a system developed by experts using science-based technology. In order to use it effectively, proper methods are needed, such as the Bayes Theorem approach, described by Thomas Bayes, a priest. The Bayes Theorem approach explains the relationship between the probability of event A and event B based on available information. This study attempts to facilitate the diagnosis of autoimmune diseases by using an expert system and Bayes' Theorem technique. With a confidence level of 0.57 or 57%, the examination results show that the patient suffers from an autoimmune disease of the type Hemolytic Anemia (HA) based on the patient's input
Co-Authors Abdul Karim Kristian Siregar Kusmanto Kusmanto Kusmanto Manalu, Mamed Rofendi Monang Juanda Tua Sihombing Riswan Limbong Saehan, A Sembiring, Abdul Sani Shinta Esabella Siagian, Edward Robinson Suryadi, Sudi Tamba, RL. Harmadi Trianovie, Sri