Analisis Perbandingan Sistem Pakar dalam Mendiagnosa Penyakit Limfoma Hodgkin Menggunakan Algoritma Teorema Bayes dan Certainty Factor
- Muklis Mahendra Universitas Labuhanbatu,Labuhanbatu, Indonesia
-
Rahmadhani Pane
*
Universitas Labuhanbatu,
Indonesia
- Rohani Rohani Universitas Labuhanbatu,Labuhanbatu, Indonesia (*) Corresponding Author
Abstract
Disease is a major challenge in the medical world. Accurate and timely diagnosis is a crucial key in disease management, including in cases of cancer. One type of cancer that affects the lymphatic system in the body is Hodgkin's lymphoma, which is also considered a rare disease. Typically, this disease occurs in adolescents and adults. Hodgkin's lymphoma requires serious treatment, although there are also cases of successful recovery. The importance of accurate and timely diagnosis in diagnosing Hodgkin's lymphoma is a critical factor in planning effective treatment and providing a favorable prognosis for patients. This study aims to perform a comparative evaluation of the Bayesian Theorem and Certainty Factor methods in diagnosing Hodgkin's lymphoma by comparing both methods. Diagnosing this disease is challenging for an expert due to the similarity of symptoms with other lymphoma diseases, which adds complexity. Therefore, this research provides an alternative to facilitate diagnosis by utilizing a system that can determine the level of certainty of a disease based on available data, including symptoms, expert values, and user values. After conducting research by comparing the two algorithms, Bayesian Theorem and Certainty Factor, various processing stages were implemented according to the established algorithm. The Bayesian Theorem algorithm yielded a result of 77.7%, while the Certainty Factor algorithm produced a higher value of 94.1%. The comparison between the Bayesian Theorem and Certainty Factor methods shows that the Certainty Factor method is more accurate in diagnosing Hodgkin's lymphoma and can be used in further research
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References
F. Octaviani, “KLASIFIKASI LIMFOMA NON-HODGKIN MENGGUNAKAN RESNET PRETRAINED MODEL.” Universitas AMIKOM Yogyakarta, 2022.
D. Maranatha and B. Bestari, “Problema Diagnostik dan Respons Kemoterapi pada Seorang Penderita Classical Limfoma Hodgkin Tipe Mixed Cellularity dengan Temporary Spontaneus Regression,” J. Respirasi, vol. 3, no. 1, p. 7, 2019, doi: 10.20473/jr.v3-i.1.2017.7-11.
N. Soetandyo, R. V. Rebecca, M. Yunti, and A. H. Reksodiputro, “Limfoma Komposit: Limfoma Hodgkin dan Limfoma Non-Hodgkin Sebuah Laporan Kasus,” J. Penyakit Dalam Indones., vol. 5, no. 3, p. 146, 2018, doi: 10.7454/jpdi.v5i3.200.
F. Bangun, “Sistem Pakar Mendiagnosa Penyakit Tbc Menggunakan Metode Teorema Bayes,” J. Tek. Dan Inform., vol. 6, no. 2, pp. 23–29, 2019.
D. Puspita, “Penerapan Metode Forward Chaining untuk Sistem Pakar Diagnosa Penyakit Rabies Pada Manusia,” Sains, Apl. Komputasi dan Teknol. Inf., vol. 3, no. 2, pp. 70–77, 2023.
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.
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, doi: 10.20884/1.jutif.2020.1.1.12.
H. Hafizah, tugiono tugiono, and azlan azlan, “Sistem Pakar Untuk Pendiagnosaan Karies Gigi Menggunakan Teorema Bayes,” J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 4, no. 1, pp. 103–111, Feb. 2021, doi: 10.53513/JSK.V4I1.2625.
J. Hutagalung, D. Nofriansyah, and M. A. Syahdian, “Penerimaan Bantuan Pangan Non Tunai ( BPNT ) Menggunakan Metode ARAS,” vol. 6, pp. 198–207, 2022, doi: 10.30865/mib.v6i1.3478.
S. Komputer, M. Busthomi, N. Nafi, and N. Q. Nawafilah, “Sistem Pakar Diagnosa Penyakit Kolesterol pada Remaja dengan Metode Certainty Factor,” vol. 15, no. 1, pp. 23–29, 2020.
A. N. Putra, R. Ishak, and J. Maulana, “Penerapan Algoritma Certainty Factor Dan Pemodelan Uml Dalam Merancang Aplikasi Diagnosis Penyakit Gastritis,” vol. VII, no. 2, pp. 63–68, 2021.
A. Wenda, K. Kraugusteeliana, A. A. Suryanto, S. N. Alam, and K. Suhada, “Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes,” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 1, pp. 82–88, 2023.
J. Perintis et al., “Sistem Pakar Diagnosa Kerusakan Mesin Sepeda Motor Matic Injeksi Berbasis Web Dengan Metode Forward Chaining,” SISITI Semin. Ilm. Sist. Inf. dan Teknol. Inf., vol. 12, no. 1, pp. 425–438, Feb. 2023, Accessed: Apr. 02, 2023. [Online]. Available: https://www.ejurnal.dipanegara.ac.id/index.php/sisiti/article/view/1204.
H. Wahyu Putra, G. Widi Nurcahyo, F. Ilmu Komputer, and U. YPTK Padang, “Sistem Pakar Diagnosis Penyakit Ginjal Dengan Metoda Forward Chaining,” vol. 5, no. 1, 2019, doi: 10.22216/jsi.v5i1.4081.
M. Ramadhan and H. Winata, “Sistem Pakar Mendiagnosa Gangguna Fungsi Kardiovaskular Dengan Metode Theorema Bayes,” Semin. Nas. Sains dan Teknol. Inf., vol. 2, no. 1, Aug. 2019, Accessed: Mar. 25, 2023. [Online]. Available: http://prosiding.seminar-id.com/index.php/sensasi/article/view/355.
H. Lawrenti, “Penghambat Immune Checkpoint untuk Terapi Kanker,” Cermin Dunia Kedokt., vol. 49, p. 24, 2022, doi: 10.55175/cdk.v49i0.1966.
P. S. Apriliana Hardika, “Sindrom Felty – Diagnosis dan Tata Laksana,” Cermin Dunia Kedokt., vol. 49, no. 1, pp. 14–18, 2022, doi: 10.55175/cdk.v49i1.181.
Mutmainnah, H. Irawiraman, and M. Pratiningrum, “Pemeriksaan Imunohistokimia Cd20 Di Laboratorium Patologi Anatomi Rsud Abdul Wahab Sjahranie,” J. Verdure, vol. 4, no. 1, pp. 228–242, 2022.
D. Wahiddin and D. Kusumaningrum, “Implementasi Algoritma Certainty Factor untuk Mendiagnosa Penyakit yang Disertai Demam,” Sci. Student J. Information, Technol. Sci., vol. 4, no. 1, pp. 129–137, 2023.
F. Ramadhan, “Perancangan Sistem Pakar Diagnosis Penyakit Tropis dengan Algoritma Certainty Factor Berbasis Web,” Sci. Student J. Information, Technol. Sci., vol. 4, no. 1, pp. 138–147, 2023.
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