Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes
DOI:
https://doi.org/10.30865/mib.v7i1.5394Keywords:
Lung Disease, Expert System, Bayes Theorem MethodAbstract
Health is one of the most expensive assets that no one can buy. So that health is the most important thing for every human being, which is priceless. One of the important organs in the human body that greatly affects health is the lungs. The lungs are a part of the human body that plays a role in the respiratory system. Where the respiratory system holds the main control in human life after the heart. at the time of examination of the lungs, the costs required are relatively expensive. So because of the high cost of inspection and the lack of funds owned by the community, so that in the end the community becomes hesitant to carry out an examination. To help the community in dealing with these problems, a system is needed that can help the community diagnose or find out the disease that is being experienced by the community. The system is an expert system. An expert system is a system developed by experts using technology. Expert systems need methods. The method used in this study is the Bayes Theorem. The main function of this Bayes Theorem is to calculate the probability of an event or event occurring through the basis of the effect resulting from an observation or observation. After carrying out calculations based on this method, information was obtained that 90% of patients who consulted had Lung Cancer.
References
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.
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.
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.
I. M. D. Maysanjaya, “Klasifikasi Pneumonia pada Citra X-rays Paru-paru dengan Convolutional neural network,†J. Nas. Tek. Elektro dan Teknol. Inf, vol. 9, no. 2, pp. 190–195, 2020.
M. R. Handoko and N. Neneng, “Sistem Pakar Diagnosa Penyakit Selama Kehamilan Menggunakan Metode Naive Bayes Berbasis Web,†J. Teknol. Dan Sist. Inf., vol. 2, no. 1, pp. 50–58, 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.
R. I. Borman, R. Napianto, P. Nurlandari, and Z. Abidin, “Implementasi Certainty Factor Dalam Mengatasi Ketidakpastian Pada Sistem Pakar Diagnosa Penyakit Kuda Laut,†Jurteksi (Jurnal Teknol. Dan Sist. Informasi), vol. 7, no. 1, pp. 1–8, 2020.
W. M. Kifti and I. Hasian, “Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI ( Preference Selection Index ),†J. Media Inform. Budidarma, vol. 5, no. 1, pp. 762–768, 2021.
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.
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.
S. Alim, P. P. Lestari, and R. Rusliyawati, “Sistem Pakar Diagnosa Penyakit Tanaman Kakao Menggunakan Metode Certainty Factor Pada Kelompok Tani Pt Olam Indonesia (Cocoa) Cabang Lampung,†J. Data Min. Dan Sist. Inf., vol. 1, no. 1, pp. 26–31, 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.
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.
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.
M. Arhami, Konsep Dasar Sistem Pakar. Yogyakarta, 2005.
R. Rosnelly and U. P. Utama, Sistem Pakar: Konsep dan Teori. .
K. Kusrini, Sistem Pakar Teori dan Aplikasi, 1st ed. Yogyakarta: ANDI, 2006.
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.
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