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Journal : Building of Informatics, Technology and Science

Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Tubercolosis Nyipto Wibowo, Gentur Wahyu; Widiastuti, Sri; Muratno, Muratno; Lolang, Enos; Soraya, Soraya
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3035

Abstract

In human life, health is the most valuable asset. a healthy body and soul gives happiness to everyone. But sometimes circumstances make human health decline. One of the causes of declining human health is due to viruses or bacteria that spread without people knowing it. One of the infectious diseases is tuberculosis (TB). Tuberculosis is a disease that occurs due to an infection caused by a bacterium called Mycobacterium tuberculosis. TB is a disease that spreads very easily, namely by air. The patient will spread germs through the air if the patient coughs or sneezes. Death is not uncommon because those with symptoms are afraid to go to the hospital for medical check-ups because they are hampered by a lack of funds. This situation is very concerning. Because of these circumstances, technological developments can be used as an alternative solution in replacing or assisting in diagnosing diseases experienced by people based on their symptoms. One of the technologies that develop about diagnosing disease is by using an expert system. An expert system is a system created by experts by developing technology based on science. In expert systems, their use must be combined with a method so that they can work properly and optimally. In this study the method used is the Bayes Theorem method. The Bayes Theorem method was developed by a priest named Thomas Bayes. The pastor comes from England who is a Presbyterian pastor. The Rev. Thomas Bayes developed Bayes' Theorem in 1763 and was perfected and redeveloped by an expert named Laplace. Based on the results of the above process, information was obtained that 87% of patients who consulted had pulmonary tuberculosis
Co-Authors A. Octamaya Tenri Awaru Adhe S, Maulidya Agus Widodo Agustin, Noor Isti Agustina, Utari Ahmad Mustofa Aisyah, Noor Akbar Putra, Fajir Al Farizi, Zulham Ali Imran Arfianti Arfianti Arianto Arianto Asih, Hastin Atas Auliani, Firda Ayu, Welinda Dyah Azizah, Safira B2092151009, PERDHIANSYAH Cahyowati, Anik Darmawi Darmawi Darwis, M Eka Kumalasari Ekawaty, Dian Enos Lolang Fitri Wahyuni Hamidy, Muhammad Y. Hidayat, Nurohmat Ika Kurnia Indriani Ika Niswatin Budiarti Illahi, Fitrah Shafran Imsar Gunawan Indrayadi Indrayadi Indriani, Ika Kurnia Irham, Lalu M. Khairunnisa Khairunnisa Kurnia, Ika Kurniasih, Ninik Kusuma Agdhi Rahwana Linda Suherma Mahyus, Mahyus Manik Sunuantari Marhaeni Widiastuti, Tri Masithah, St. Mawan, M. Syafiudin Aris Mualimin Mualimin Muratno, Muratno Murti Puspita Rukmi Najah, Lulu Ah Natasari, Peni Sriwahyu Natasya, Cindy Nawangwulan, Kurniati Nindy Oktoriani, Ervita Nur Azizah Nur Istiqamah, Nur Nur, Uray M. Nurfatun, Nurfatun Nurul Sasmita, Nurul Nurus Soimah Nyipto Wibowo, Gentur Wahyu Oktoriani, Ervita Nindy Palupi, Nurul Azizah Putri Prasetyo, Henri Putri Lestari, Putri Rachmawati Rachmawati Rakhmat, Cece Ramadhan, Algi Rifalgi Rangkuti, Ina F. Ratna Sari Renata S, Adisty Radika Rianto, Leonov Riski, Akhmad Risti Rahmaniar Riza Alfian Safira Hasna Santi, Kussusanti Saswati, Risna Sawitri, Sari Sepang, Nurul Robbi Siti Uswatun Hasanah Siwi, Theresia Sri Widiastuti, Sri Suandi, Ipan Syafruddin Syafruddin Tashadi Tarmizi Wahyudi Wahyudi Wahyuni, Amaliyah Winarto Winarto Wirawan Adikusuma Yanti, Inda Hadi Yohanes Adi Nugroho Yuliana, Elsa Sari Yumassik, Abdul Mahmud Yusfik, Yusnita