1_-_Copy.png1_.png)
Email this article 
Impelementasi Metode Forward Chaining Dan Certainty Factor Pada Studi Kasus Diagnosa Penyakit Ginjal
Abstract
Kidneys have a very large function for the body. The kidneys function as a filtering place for metabolic waste substances in the body so that if there is even a slight problem with the kidneys, the kidneys will not function properly, so that metabolic waste substances accumulate in the body and can become toxic in the body, causing various diseases. . There are many types of kidney disorders, in this study only 7 (seven) types of kidney disorders are discussed, namely N17 (Acute Renal Failure), N04 (Nephrotcyc Syndrome), C64 (malignant neoplasm), N39 (Disorder of Urinary System), N20 (calculus of kidney), and N18 (Chronic Kidney Disease). One way to find out kidney disease is to look at the symptoms. This study aims to determine kidney disease early on based on the symptoms experienced using the forward chaining method and then determine the level of certainty in the form of a percentage using the certainty factor method. The results of this study are patients with ID 125437 indicated to suffer from the type of disease with the largest percentage, namely malignant neoplasm with a percentage of 47%. The treatment methods are radiation therapy, chemotherapy, surgery, immunotherapy, cyroablation, arterialembolization and targeted therapy.
Keywords
Full Text:
PDF INDONESIAReferences
T. Damawati, “Perancangan Sistem Pakar Untuk Mendiagnosa Penyakit Kulit Dengan Metode Forward Chaining Berbasis Android,” … Karya Ilmiah Mahasiswa Fakultas sains dan …. 2021.
M. A. Hamzani, “Sistem Pakar Diagnosa Penyakit Tanaman Jeruk Menggunakan Metode Forward Chainning,” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 1, no. 1. 2017.
A. Wijianto, “Sistem Pakar Mendiagnosa Penyakit Pencernaan Pada Manusia Menggunakan Metode Forward Chaining dan Certainty Factor,” J. Tek. Juara Aktif Glob. Optimis, vol. 1, no. 2, pp. 1–10, 2021, doi: 10.53620/jtg.v1i2.26.
L. Wahyuni and S. Darma, “Sistem pakar mendiagnosa penyakit tanaman kelapa sawit dengan metode certainty factor,” Informatika, pp. 122–127, 2014.
J. P. Sembiring and J. Manurung, “Sistem Pakar Mendiagnosa Penyakit Bawang Merah Dengan Metode Depthfirst Search Backward Chaining,” J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 5, pp. 356–362, 2021, doi: 10.32672/jnkti.v4i5.3420.
M. D. Irawan, H. F. Siregar, M. Y. Simargolang, and T. Liana, “Expert System for Areca Plant Disease Detection Using Forward Chaining Method,” PIKSEL Penelit. Ilmu Komput. Sist. Embed. Log., vol. 8, no. 2, pp. 115–122, 2020, doi: 10.33558/piksel.v8i2.2291.
M. D. Irawan, A. Widarma, Y. H. Siregar, and R. Rudi, “Penerapan Metode Forward-Backward Chaining pada Sistem Pakar Pencegahan dan Pengobatan Penyakit Sapi,” Jurnal Teknologi dan Informasi, vol. 11, no. 1. pp. 14–25, 2021, doi: 10.34010/jati.v11i1.3286.
A. M. Novita Andriyani, Doni Irawan, “The Implementation of Web-Based Forward Chaining as An Expert System for Diagnosis of Cattle Disease In Central Lampung (Case Study: Cattle Farm in Banjar Sari),” Int. J. Artif. Intell. Robot. Technol., vol. 1, no. 2, pp. 45–58, 2021.
P. H. and J. Tremblay, “Artificial intelligence in medicine - ScienceDirect,” Elsevier. 2017.
C. Jacob, “Introduction to Artificial Intelligence What is Artificial Intelligence,” Medium, pp. 1–15, 2019.
S. Kurniawan and N. Merlina, “Sistem Pakar Berbasis Web Dengan Menggunakan Metode Forward Chaining Untuk Mendiagnosa Kerusakan Mobil Daihatsu Ayla,” Pilar Nusa Mandiri, vol. XI, no. 2. pp. 197–202, 2015.
H. Pratiwi, “Buku Ajar: Sistem Pakar - Google Buku.” Goresan Pena Publishing, Bandung, 2018.
I. Akil, “Analisa Efektifitas Metode Forward Chaining Dan Backward Chaining Pada Sistem Pakar,” Jurnal Pilar Nusa Mandiri, vol. 13, no. 1. pp. 35–42, 2017.
W. D. Prasetyo and R. Wahyudi, “Sistem pakar diagnosis penyakit ternak sapi menggunakan metode forward chaining berbasis website responsif,” Jurnal Teknologi dan Terapan Bisnis (JTTB), vol. 2, no. 1. pp. 13–21, 2019.
F. R. B. Putra, A. Fadlil, and R. Umar, “Analisis Metode Forward Chaining Pada Sistem Pakar Diagnosa Penyakit Hewan Sapi Berbasis Android,” Jurnal Sains Komputer & Informatika (J-SAKTI, vol. 5, no. 2. pp. 1034–1044, 2021.
D. T. Satya and N. Hidayat, “Sistem Pakar Diagnosis Penyakit Sapi Ternak Potong Menggunakan Metode Naïve Bayes - Certainty Factor,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 10, pp. 3406–3410, 2018.
DOI: https://doi.org/10.46964/jtmp.v14i1.1502
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 MEDIA PERSPEKTIF : Journal of Technology
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
----------------------------------------------
MEDIA PERSPEKTIF Indexed by :
---------------------------------------------------------
Published by:
PUSAT PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT
POLITEKNIK NEGERI SAMARINDA
Jl. Dr. Ciptomangkusumo Kampus Gunung Lipan, Samarinda - Kalimantan Timur 75131
Telephone: (0541) 260588, Fax: (0541) 260355
Email: jurnalmediaperspektif@polnes.ac.id
Website: http://e-journal.polnes.ac.id/index.php/mediaperspektif
e-ISSN : 2723-6099 p-ISSN: 1412-3819
=============================================================================================
This MEDIA PERSPEKTIF is licensed under a Creative Commons Attribution 4.0 International License
=================================================================