Sistem Pakar Diagnosa Paget's Disease dengan Menerapkan Algoritma Teorema Bayes
-
Rico Albert Saragih
*
Universitas Budi Darma, Medan,
Indonesia
- Desika Marbun Universitas Budi Darma, Medan, Indonesia
- Mesran Mesran Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
Paget's Disease, also known as Paget's Disease of the bone, is a bone disorder that typically arises in the elderly, particularly after the age of 40. The risk of this disease increases with advancing age. Aging and genetic factors are believed to play a role in the development of this condition. Symptoms include bone pain, bone fragility, abnormal bone growth, changes in bone shape, decreased hearing, as well as symptoms such as headaches, dizziness, and joint complaints. Expert systems or artificial intelligence draw inspiration from the knowledge of experts to analyze situations. With algorithms like the Bayes theorem, this system provides solutions to emerging issues. In this context, expert systems aid doctors in identifying diseases without face-to-face consultations. The Bayes theorem serves as the foundation for this mechanism, emulating expert abilities. This research applies the Bayes theorem for an efficient and objective diagnosis of Paget's Disease. The results indicate a strong likelihood of patients having Paget's Disease at 73.87%. Consequently, the use of expert systems has the potential to enhance efficiency and objectivity in handling cases, assisting doctors in formulating diagnoses based on presenting symptoms.
References
S. P. Handayani and E. A. Soeriadi, “Pencitraan Penyakit Metabolik Tulang dengan Modalitas Kedokteran Nuklir,” J. Heal. Sains, vol. 2, no. 7, pp. 966–977, 2021.
S. Ishizuki and Y. Nakamura, “Extramammary Paget’s disease: diagnosis, pathogenesis, and treatment with focus on recent developments,” Curr. Oncol., vol. 28, no. 4, pp. 2969–2986, 2021.
K. St Claire, A. Hoover, K. Ashack, and A. Khachemoune, “Extramammary paget disease,” Dermatol. Online J., vol. 25, no. 4, 2019.
C. R. Morris and E. A. Hurst, “Extramammary paget’s disease: a review of the literature Part II: treatment and prognosis,” Dermatologic Surg., vol. 46, no. 3, pp. 305–311, 2020.
I. Irmayanti, “KAJIAN SISTEMATIS HUBUNGAN OBESITAS DENGAN KANKER PAYUDARA PADA WANITA POST-MENOPAUSE.” Universitas Hasanuddin, 2020.
S. Bulan, “Osteonecrosis of The Jaw; Medication-Related Osteonecrosis of the jaw (MRONJ),” SONDE (Sound Dent., vol. 6, no. 1, pp. 19–25, 2021.
M. Y. Yushan, “Gambaran Karakteristik Pasien Tumor Tulang Yang Dirawat Di RSUP Wahidin Sudirohusodo Periode Tahun 2019-2021.” Universitas Hasanuddin, 2023.
N. Sudaryatmi, S. Masrochah, and M. Erfansyah, “Teknik Pemeriksaan Kedokteran Nuklir Bone Scan di Instalasi Radiologi RSUP Dr. Kariadi Semarang,” J. Imejing Diagnostik, vol. 7, no. 1, pp. 8–14, 2021.
H. Sastypratiwi and R. D. Nyoto, “Analisis Data Artikel Sistem Pakar Menggunakan Metode Systematic Review,” JEPIN (Jurnal Edukasi dan Penelit. Inform., vol. 6, no. 2, pp. 250–257, 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, doi: 10.20884/1.jutif.2020.1.1.12.
F. Bangun, “Sistem Pakar Mendiagnosa Penyakit Tbc Menggunakan Metode Teorema Bayes,” J. Tek. Dan Inform., vol. 6, no. 2, pp. 23–29, 2019.
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. 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.
R. Rachman, “Sistem Pakar Deteksi Penyakit Refraksi Mata Dengan Metode Teorema Bayes Berbasis Web,” J. Inform., vol. 7, no. 1, pp. 68–76, 2020, doi: 10.31311/ji.v7i1.7267.
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.
Y. B. Widodo, S. A. Anggraeini, and T. Sutabri, “Perancangan Sistem Pakar Diagnosis Penyakit Diabetes Berbasis Web Menggunakan Algoritma Naive Bayes,” J. Teknol. Inform. dan Komput., vol. 7, no. 1, pp. 112–123, 2021, doi: 10.37012/jtik.v7i1.507.
R. Manik, A. Azanuddin, and Z. Panjaitan, “Sistem Pakar Mendiagnosa Penyakit Mad Cow Disease (Sapi Gila) Menggunakan Metode Certainty Factor,” J. Cyber Tech, vol. 2, no. 9, 2019.
B. Tarigan, “Bulletin of Information Technology (BIT) Penerapan Algoritma VLBE Pada Aplikasi Kompresi File,” Bull. Inf. Technol., vol. 1, no. 2, pp. 75–82, 2020.
D. Arrohmansyah, H. Ismunandar, and R. Himayani, “Fibrous Displasia,” Med. Prof. J. Lampung, vol. 11, no. 1, pp. 135–140, 2021.
T. N. K. Hung et al., “An AI‐based prediction model for drug‐drug interactions in osteoporosis and Paget’s diseases from SMILES,” Mol. Inform., vol. 41, no. 6, p. 2100264, 2022.
D. J. Tobing and M. G. Ratna, “Diagnosis pada Benign Paroxysmal Positional Vertigo (BPPV),” Med. Prof. J. Lampung, vol. 12, no. 1, pp. 36–39, 2022.
J. A. Widians, N. Puspitasari, and A. A. M. Putri, “Penerapan Teorema Bayes dalam Sistem Pakar Anggrek Hitam,” Inform. Mulawarman J. Ilm. Ilmu Komput, vol. 15, no. 2, p. 75, 2020.
S. N. Arif, M. Syahril, S. Kusnasari, and H. Winata, “Sistem Pakar Mendiagnosa Kerusakan Handphone Oppo Dengan Menggunakan Teorema Bayes,” J. Teknol. Sist. Inf. Dan Sist. Komput. TGD, vol. 4, no. 1, pp. 112–126, 2021.
D. Nofriansyah, R. Gunawan, and E. Elfitriani, “Sistem Pakar Untuk Mendiagnosa Penyakit Pertussis (Batuk Rejan) Dengan Menggunakan Metode Teorema Bayes,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 3, no. 1, p. 41, 2020, doi: 10.53513/jsk.v3i1.194.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pakar Diagnosa Paget's Disease dengan Menerapkan Algoritma Teorema Bayes
Pages: 8-15
Copyright (c) 2024 Rico Albert Saragih, Desika Marbun, Mesran Mesran
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
