Kombinasi Metode Certainty Factor dan Fuzzy Tsukamoto dalam Pradiagnosa Penyakit Gagal Ginjal Kronis
- Rudi Adityawan Universitas Nasional, Jakarta, Indonesia
-
Agung Triayudi
*
Universitas Nasional, Jakarta,
Indonesia
- Endah Tri Esti Handayani Universitas Nasional, Jakarta, Indonesia (*) Corresponding Author
Abstract
Expert systems aim to combine human knowledge with systems, that is, so that computers can solve problems in the same way that experts usually do. Expert systems can also be used in diagnosing disease to determine the type of disease suffered as an initial diagnosis based on the symptoms to be followed up. In this study, the method used to develop an expert system for chronic kidney failure was using the Fuzzy Tsukamoto and Certainty Factor methods. The data search process starts from the symptoms experienced by the user and lab results of anemia, creatinine and eGFR then the final results obtained from this study are an Expert System Application for pre-diagnosing Kidney Disease with the Tsukamoto Method and Certainty Factor. The results obtained from this study, namely the certainty factor method obtained a patient's disease confidence level of 99.48% where according to these results according to experts and with the Fuzzy Tsukamoto method the results obtained for the stage of chronic kidney failure were 73.9 where these results were included in the VV High Risk category.
Downloads
References
Nurudin Ahmad and Sulistyaningsih Dwi Retno, “HUBUNGAN ANTARA LAMA MENJALANI TERAPI HEMODIALISIS DENGAN KEPATUHAN ASUPAN CAIRAN PADA PASIEN PENYAKIT GINJAL KRONIK,” Jurnal Ilmu Keperawatan Medial Bedah 1 (1), Mei 2018, pp. 1–43, 2018.
H. Rustandi, H. Tranado, and T. Pransasti, “Faktor-Faktor yang Mempengaruhi Kualitas Hidup Pasien Chronic Kidney Disease yang Menjalani Hemodialisa di Ruang Hemodialisa,” Jurnal Keperawatan Silampari, vol. 1, no. 2, pp. 32–46, Feb. 2018, doi: 10.31539/jks.v1i2.8.
Mukhroji & Ismuhadi, “Perancangan Aplikasi Sistem Pakar Diagnosa Awal Penyakit Batu Ginjal Berbasis Web Dengan Menggunakan Metode Forward Chaining,” 2022.
F. Mailani and R. F. Andriani, “HUBUNGAN DUKUNGAN KELUARGA DENGAN KEPATUHAN DIET PADA PASIEN GAGAL GINJAL KRONIK YANG MENJALANI HEMODIALISIS,” Jurnal Endurance, vol. 2, no. 3, p. 416, Oct. 2017, doi: 10.22216/jen.v2i3.2379.
V. S. Stel, K. Brück, S. Fraser, C. Zoccali, Z. A. Massy, and K. J. Jager, “International differences in chronic kidney disease prevalence: A key public health and epidemiologic research issue,” Nephrology Dialysis Transplantation, vol. 32. Oxford University Press, pp. ii129–ii135, Apr. 01, 2017. doi: 10.1093/ndt/gfw420.
S. H. Nasution, S. Syarif, and S. Musyabiq, “Penyakit Gagal Ginjal Kronis Stadium 5 Berdasarkan Determinan Umur, Jenis Kelamin, dan Diagnosa Etiologi di Indonesia Tahun 2018,” 2020.
V. Kyneissia Gliselda, “Diagnosis dan Manajemen Penyakit Ginjal Kronis (PGK),” 2021. [Online]. Available: http://jurnalmedikahutama.com
T. Feraldy Ramadhani, I. Fitri, and E. Tri Esti Handayani, “Sistem Pakar Diagnosa Penyakit ISPA Berbasis Web Dengan Metode Forward Chaining,” 2018.
I. A. Wisky and D. Akhiyar, “SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT TULANG BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING,” Jurnal Sains dan Teknologi, vol. 19, no. 1, 2019.
B. P. Putra, Y. Yunus, and Sumijan, “Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining,” Jurnal Informasi dan Teknologi, pp. 128–133, Sep. 2021, doi: 10.37034/jidt.v3i3.122.
Erlangga and Y. Yanu Dharmawan, “PENENTUAN PENERIMA KINERJA DOSEN AWARD MELALUI METODE TSUKAMOTO DENGAN KONSEP LOGIKA FUZZY,” 2018.
K. M. Herdiastuti, “IMPLEMENTASI ALGORITMA FUZZY TSUKAMOTO UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI,” 2017.
Y. Ferdiansyah and N. Hidayat, “Implementasi Metode Fuzzy-Tsukamoto Untuk Diagnosis Penyakit Pada Kelamin Laki Laki,” 2018. [Online]. Available: http://j-ptiik.ub.ac.id
R. Al, D. Yunas, A. Triayudi, and I. D. Sholihati, “Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor,” Jurnal Teknologi Informasi dan Komunikasi), vol. 5, no. 3, p. 2021, 2021, doi: 10.35870/jti.
S. Arlis, “SATIN-Sains dan Teknologi Informasi Diagnosis Penyakit Radang Sendi Dengan Metode Certainty Factor,” 2017. [Online]. Available: http://jurnal.stmik-amik-riau.ac.id
Hengky, “SISTEM PAKAR MENDIAGNOSA PENYAKIT GINJAL DENGAN MENGGUNAKAN METODE FUZZY LOGIC TSUKAMOTO,” 2018.
A. I. Falatehan, N. Hidayat, and K. C. Brata, “Sistem Pakar Diagnosis Penyakit Hati Menggunakan Metode Fuzzy Tsukamoto Berbasis Android,” 2018. [Online]. Available: http://j-ptiik.ub.ac.id
B. D. Meilani and M. S. Munir, “SNESTIK Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika Sistem Pakar Diagnosa Penyakit Menyerupai COVID-19 Menggunakan Metode Certainty Factor Berbasis Website,” p. 43, 2022, doi: 10.31284/p.snestik.2022.2599.
S. Batubara, S. Wahyuni, and E. Hariyanto, “PENERAPAN METODE CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA PENYAKIT DALAM,” 2018.
A. Riadi and U. Ichsan Gorontalo, “PENERAPAN METODE CERTAINTY FACTOR UNTUK SISTEM PAKAR DIAGNOSA PENYAKIT DIABETES MELITUS PADA RSUD BUMI PANUA KABUPATEN POHUWATO,” ILKOM Jurnal Ilmiah, vol. 9, 2017.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Kombinasi Metode Certainty Factor dan Fuzzy Tsukamoto dalam Pradiagnosa Penyakit Gagal Ginjal Kronis
Pages: 269-274
Copyright (c) 2023 Rudi Adityawan, Agung Triayudi, Endah Tri Esti Handayani
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).
