Perbandingan Penggunaan Certainty Factor dan Pendekatan Dempster-Shafer dalam Sistem Expert untuk Mendiagnosis Kasus Cacar
- M. Mustaqim Universitas Nasional, Jakarta, Indonesia
-
Agus Iskandar
*
Universitas Nasional, Jakarta,
Indonesia
(*) Corresponding Author
Abstract
Varicella, another name for smallpox, is a viral infection that primarily affects children and can cause an itchy rash on the skin and fever. Smallpox should be diagnosed as soon as possible to stop the spread of the disease and provide appropriate treatment. The aim of this study was to compare the Dempster-Shafer and Certainty Factor (CF) approaches for diagnosing smallpox. The main aim of this study was to evaluate the effectiveness of both methods in detecting smallpox and to determine which is more accurate and reliable in the diagnosis process. The CF method is an approach in artificial intelligence that uses confidence factor values to describe an expert's level of confidence in an event or statement. Meanwhile, Dempster Shafer is a combined theory that can overcome uncertainty in decision making by modeling the level of confidence in various aspects. This research will outline the basic concepts of the Certainty Factor method and Dempster-Shafer Theory, as well as analyze their application when making a diagnosis of smallpox. The level of precision, dependability, and effectiveness of each technique will be compared. It is hoped that health professionals can improve smallpox diagnosis and make better clinical judgments with the help of the results of this study. The results of this research will help medical personnel and health practitioners make better decisions in diagnosing smallpox. Apart from that, this research can also help reduce diagnostic errors and speed up the treatment process. The calculation results from this research show that for Shingles, the Dempster Shafer approach produces a success rate of 86%, while the Certainty Factor method offers a success rate of 99%.
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References
I. S. Sa’adah, P. Sopiah, and H. Ridwan, “LITERATUR REVIEW: HERPES ZOSTER (INFEKSI LANJUTAN DARI VIRUS VARICELLA ZOSTER): A Literature Review: Herpes Zoster (Advanced Infection of The Varicella-zoster Virus),” J. Ilm. Keperawatan (Scientific J. Nursing), vol. 9, no. 2, pp. 323–324, 2023.
N. P. T. M. Margha and M. Wardhana, “Karakteristik Penderita Cacar Air (Varicella) Di Rumah Sakit Umum Pusat Sanglah, Denpasar Periode April 2015-April 2016,” J. Med. Udayana, vol. 9, no. 8, pp. 93–96, 2020.
D. U. Rosyidah and Z. H. F. Anam, “Laporan Kasus: Cacar Air Pada Remaja Muda Usia 14 Tahun Di Pondok Pesantren,” 2020.
A. R. Davis and J. Sheppard, “Herpes zoster ophthalmicus review and prevention,” Eye Contact Lens, vol. 45, no. 5, pp. 286–291, 2019.
R. S. Suraya, “TRADISI PENGOBATAN SAPULEI PADA MASYARAKAT DESA GUNUNG SEJUK: KAJIAN BENTUK, FUNGSI, DAN EKSISTENSI PENGOBATAN,” LISANI J. Kelisanan, Sastra, dan Budaya, vol. 5, no. 1, pp. 17–26, 2022.
D. D. Luthfiani, P. Sianturi, A. Kusnanto, and H. Sumarno, “Pengaruh Laju Penularan Penyakit Dan Rata-Rata Kontak Individu Pada Model Ko-Infeksi Hiv/Aids Dan Cacar Monyet (Monkeypox),” MILANG J. Math. Its Appl., vol. 18, no. 1, pp. 29–39, 2022.
M. Marisah, I. L. Hilmi, and S. Salman, “Studi dan tatalaksana terkait penyakit cacar monyet (monkeypox) yang menginfeksi manusia,” J. Farmasetis, vol. 11, no. 3, pp. 201–208, 2022.
B. H. Hayadi, Sistem pakar. Deepublish, 2018.
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.
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.
S. Wahyuni and P. M. Hasugian, “Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Menggunakan Metode Certainty Factor,” J. Sains dan Teknol., vol. 3, no. 2, pp. 60–65, 2022.
R. S. Putra and Y. Yuhandri, “Sistem Pakar dalam Menganalisis Gangguan Jiwa Menggunakan Metode Certainty Factor,” J. Sistim Inf. dan Teknol., pp. 227–232, 2021.
I. Istiadi, E. B. Sulistiarini, R. Joegijantoro, and A. N. Suksmawati, “Perbandingan Metode CBR dan Dempster-Shafer pada Sistem Pakar Terintegrasi Layanan Kesehatan,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 5, no. 6, pp. 1143–1152, 2021.
A. Silpiah, D. Arisandi, and W. Yulianti, “Perancangan Sistem Pakar dalam Mendiagnosa Penyakit Skizofrenia dengan Metode Dempster-Shafer,” Explorer (Hayward)., vol. 1, no. 1, pp. 14–20, 2021.
S. Rijal, M. Sarjan, and S. Syarli, “Sistem Pakar Mendiagnosa Penyakit Tbc,” J. Peqguruang Conf. Ser., vol. 3, no. 1, p. 134, 2021, doi: 10.35329/jp.v3i1.1232.
S. Batubara, S. Wahyuni, and E. Hariyanto, “Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Dalam,” in Seminar Nasional Royal (SENAR), 2018, pp. 81–86.
D. Maulina, “Metode Certainty Factor Dalam Penerapan Sistem Pakar Diagnosa Penyakit Anak,” J. Inf. Syst. Manag., vol. 2, no. 1, pp. 23–32, 2020, doi: 10.24076/joism.2020v2i1.171.
E. Rahmanita, W. Agustiono, and R. Juliyanti, “Sistem Pakar Diagnosa Penyakit Saluran Pencernaan Dengan Perbandingan Metode Forward Chaining Dan Dempster Shafer,” J. Simantec, vol. 7, no. 2, pp. 82–89, 2019, doi: 10.21107/simantec.v7i2.6743.
R. Hardianto and C. Kusuma, “Rancang Bangun Sistem Pakar Penentuan Kepribadian,” J. Sist. Komput. dan Inform., vol. 1, no. 1, pp. 45–51, 2019.
A. Supiandi and D. B. Chandradimuka, “Sistem Pakar Diagnosa Depresi Mahasiswa Akhir Dengan Metode Certainty Factor Berbasis Mobile,” J. Inform., vol. 5, no. 1, pp. 102–111, 2018.
M. A. Pratama et al., “Expert System Mendiagnosa Kerusakan Pada Sepeda Motor Vespa Jenis Kongo 1965 Menggunakan Metode Dempster Shafer Pada Bengkel Scooter Bongkar Servizio,” J. Cyber Tech, vol. 1, no. 3, 2021.
I. H. Santi and B. Andari, “Sistem pakar untuk mengidentifikasi jenis kulit wajah dengan metode certainty factor,” INTENSIF J. Ilm. Penelit. dan Penerapan Teknol. Sist. Inf., vol. 3, no. 2, pp. 159–177, 2019.
A. O. Pasaribu, M. Mesran, and Y. Hasan, “SISTEM PAKAR MENDIAGNOSA PENYAKIT LEPTOSPIROSIS MENGGUNAKAN METODE CERTAINTY FACTOR,” Pelita Inform. Inf. dan Inform., vol. 7, no. 2, pp. 138–144, 2018.
D. Aldo, “Sistem Pakar Diagnosis Hama Dan Penyakit Bawang Merah Menggunakan Metode Dempster Shafer,” Komputika J. Sist. Komput., vol. 9, no. 2, pp. 85–93, 2020, doi: 10.34010/komputika.v9i2.2884.
K. Kirman, A. Saputra, and J. Sukmana, “Sistem Pakar Untuk Mendiagnosis Penyakit Lambung Dan Penanganannya Menggunakan Metode Dempster Shafer,” Pseudocode, vol. 6, no. 1, pp. 58–66, 2019, doi: 10.33369/pseudocode.6.1.58-66.
C. Nas, “Sistem Pakar Diagnosa Penyakt Tiroid Menggunakan Metode Dempster Shafer,” J. Teknol. Dan Open Source, vol. 2, no. 1, pp. 1–14, 2019.
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