Penerapan Metode Teorema Bayes Dalam Mendiagnosa Penyakit Tubercolosis
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Gentur Wahyu Nyipto Wibowo
*
Universitas Islam Nahdlatul Ulama Jepara, Jepara,
Indonesia
- Sri Widiastuti Universitas Sains dan Teknologi Jayapura, Jayapura, Indonesia
- Muratno Muratno Universitas Sains dan Teknologi Jayapura, Jayapura, Indonesia
- Enos Lolang Universitas Kristen Indonesia Toraja, Toraja, Indonesia
- Soraya Soraya Politeknik Kesdam VI Banjarmasin, Banjarmasin, Indonesia (*) Corresponding Author
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
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References
V. K. Jain, K. P. Iyengar, D. A. Samy, and R. Vaishya, “Tuberculosis in the era of COVID-19 in India,” Diabetes Metab. Syndr. Clin. Res. Rev., vol. 14, no. 5, pp. 1439–1443, 2020.
F. Bangun, “Sistem Pakar Mendiagnosa Penyakit TBC Menggunakan Metode Teorema Bayes,” J. Tek. Dan Inform., vol. 6, no. 2, pp. 23–29, 2019.
M. R. Syahwana, “Sistem Pakar Untuk Mendiagnosis Penyakit Tubercolosis Mengunakan Metode Bayes Pada Puskesmas Petumbukan,” J. Media Inform., vol. 1, no. 2 Juni, pp. 73–82, 2020.
I. Syamsudin and E. Eko, “PENERAPAN METODE CERTAINTY FACTOR PADA SISTEM PAKAR MENDIAGNOSA PENYAKIT TUBERCULOSIS (TB) PARU BERBASIS WEB MOBILE,” JUSIM (Jurnal Sist. Inf. Musirawas), vol. 7, no. 2, pp. 127–136, 2022.
L. P. Dewi, A. Setiawan, and C. S. Suryadi, “Sistem Pendukung Keputusan Pelatihan Karyawan Dengan Metode Piprecia-Edas,” Semin. Nas. Ilmu Terap. V 2021, pp. 1–6, 2021.
N. Vendyansyah and Y. A. Pranoto, “Perancangan dan Pembuatan Aplikasi untuk Mendeteksi Kemiripan Jawaban Menggunakan Cosine Similarity,” J. Tek. (Jurnal Fak. Tek. Univ. Islam Lamongan), vol. 13, no. 1, pp. 23–28, 2021.
S. Batubara, S. Wahyuni, and E. Hariyanto, “Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Dalam,” in Seminar Nasional Royal (SENAR), 2018, vol. 1, no. 1, pp. 81–86.
K. E. Setyaputri, A. Fadlil, and S. Sunardi, “Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT,” J. Tek. Elektro, vol. 10, no. 1, pp. 30–35, 2018.
D. A. Kusuma and C. Chairani, “Rancang Bangun Sistem Pakar Pendiagnosa Penyakit Paru-Paru Menggunakan Metode Case Based Reasoning,” J. Infotel, vol. 6, no. 2, pp. 57–62, 2014.
N. Sulardi and A. Witanti, “Sistem Pakar Untuk Diagnosis Penyakit Anemia Menggunakan Teorema Bayes,” J. Tek. Inform., vol. 1, no. 1, pp. 19–24, 2020.
G. Anggara, G. Pramayu, and A. Wicaksana, “Membangun sistem pakar menggunakan teorema bayes untuk mendiagnosa penyakit paru-paru,” SEMNASTEKNOMEDIA ONLINE, vol. 4, no. 1, pp. 3–5, 2016.
L. E. Sari and W. Hadikurniawati, “Sistem Pendukung Keputusan Penentuan Skincare Untuk Kulit Wajah Menggunakan Metode Decision Tree (Studi Kasus : Kosmetik Wardah),” Proceeding SENDIU 2020, pp. 978–979, 2020.
D. Nofriansyah, R. Gunawan, and E. Elfitriani, “Sistem Pakar Untuk Mendiagnosa Penyakit Pertussis (Batuk Rejan) Dengan Menggunakan Metode Teorema Bayes,” J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 3, no. 1, pp. 41–54, 2020.
G. Surya, K. Yota, and E. Aryanto, “SPK Penentuan Lokasi ATM Menggunakan Metode AHP dan SAW,” vol. 01, pp. 49–56, 2019.
Y. Ali and Aprina, “Penerapan Metode Preference Selection Index ( PSI ) Dalam Pemberian Dana BOS Pada Siswa Kurang Mampu,” Semin. Nas. Teknol. Komput. Sains, no. 1, pp. 590–597, 2019, [Online]. Available: https://prosiding.seminar-id.com/index.php/sainteks/article/view/203/198.
S. Wardani, I. Parlina, and A. Revi, “ANALISIS PERHITUNGAN METODE MOORA DALAM PEMILIHAN SUPPLIER BAHAN BANGUNAN DI TOKO MEGAH GRACINDO JAYA InfoTekJar ( Jurnal Nasional Informatika dan Teknologi Jaringan ),” pp. 95–99.
P. Fitriani and T. S. Alasi, “Sistem Pendukung Keputusan dengan Metode WASPAS, COPRAS, dan EDAS : Menentukan Judul Skripsi,” J. Media Inform. Budidarma, vol. 4, p. 56, 2020, doi: 10.30865/mib.v4i4.2431.
M. Dwina Pri Indini, Khairunnisa, Nola Dita Puspa, Tesa Aurelia Siregar, “Penerapan Metode OCRA dalam Menentukan Media Pembelajaran Online Terbaik di Masa Pandemi Covid-19 dengan Pembobotan ROC,” J. Sist. Komput. dan Inform., vol. 3, no. 2, pp. 60–66, 2021, doi: 10.30865/json.v3i2.3576.
S. Komparatif and P. Metode, “Prodi Magister Pendidikan Islam, Universitas Muhammadiyah Surabaya,” Stud. Realigia J. Pemikir. Dan Pendidik. Islam, vol. 5, no. 2, pp. 292–305, 2021.
P. S. Ramadhan and U. F. S. S. Pane, “Analisis Perbandingan Metode (Certainty Factor, Dempster Shafer dan Teorema Bayes) untuk Mendiagnosa Penyakit Inflamasi Dermatitis Imun pada Anak,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 17, no. 2, pp. 151–157, 2018.
E. R. Ritonga and M. D. Irawan, “Sistem Pakar Diagnosa Penyakit Paru-Paru Pada Anak Dengan Metode Dempster-Shafer,” CESS (Journal Comput. Eng. Syst. Sci., vol. 2, no. 1, pp. 39–47, 2017.
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