Page Header Logo
Journal Content
Browse
  • By Issue
  • By Author
Information
  • For Readers
  • For Authors
  • For Librarians
Current Issue
Atom logo
RSS2 logo
RSS1 logo
  • Submissions
  • Review Process
  • Publication Ethics
  • Author Guidelines
  • Open Access Policy
  • Licence
  • Processing Charges
  • Archiving

Template word

Similarity Checker

Cover Page

Statistik

Flag Counter

Jumlah Kunjungan
Flag Counter
  • Home
  • Current
  • Archives
  • Announcement
  • Editorial Team
  • Reviewers
  • Contact
  • Search
Home > Archives > 2021, Vol. 3, No. 2 > Articles

Sistem Pakar Menggunakan Metode Certainty Factor dalam Akurasi Identifikasi Penyakit pada Paru

  • Ayu Prima Siska
    Universitas Putra Indonesia YPTK Padang

  • Yuhandri Yunus
    Universitas Putra Indonesia YPTK Padang

  • Sumijan Sumijan
    Universitas Putra Indonesia YPTK Padang


DOI: https://doi.org/10.37034/jsisfotek.v3i2.111
Keywords: Expert System, Lung Disease, Certainty Factor, PHP, Database MySQL

Abstract

Lungs are a very importand part of the human organ, which functions as a place for oxygen  exchange. This organ that is located under the ribs has a very heavy task, as well as the pollution of the air we breathe everyday which will cause various diseases in the lungs. Lung disease is a disease that is common to everyone, and there are still many who are less concemed with lung healty, so that is causes many indications of lung diseas. Expert  system is a system that uses human knowledge recorded in a computer to solve a problem. The purpose og this study was to datermine the accuracy of disease identification in the lungs using the Certainty Factor method. The date obtained is datae about the symptoms that prove wherher a person has lung disease or not and conduct an analysis of the date, so that later conclusions can be abtained from the facts found using an expert system of the Certianty Factor method. The date obtained is date about the sympyoms thet prove whethera person has lung as a problem solving metric which is a parameter value to show the amount of trust. The result of the research from an expert system on pulmonary disease with pulmonary  tuberkolosis (TBC) with a certainty level  og 68%. Expert system on lung disease using the Certainty Factor method can make it easien for sufferes to know and handle prevention and handling.

Downloads

Download data is not yet available.

References

[1] Saputra, A. (2016). Pengembangan Sistem Pakar Identifikasi Penyakit Paru-Paru Menggunkan Metode Certainty Factor. IT Journal, 4(2).
[2] Kurniawan, B., Utami, Y. R. W., Saptomo, W. L. Y. (2017). Sistem Pakar Diagnosa Penyakit Paru Pada Anak dengan Menggunakan Metode Certainty Factor. Jurnal TIKomSiN, 5(2).
[3] Cahyadi, B. (2018). Sistem Pakar Diagnosis Penyakit Paru Menggunakan Metode Certainty Factor dengan Mesin Inferensi Forward Chaining Berbasis Android. JATI: Jurnal Mahasiswa Teknik Informatika, 2(1).
[4] Gustinaldi. (2019). Aplikasi Sistem Pakar Diagnosis Penyakit Paru-Paru dengan Menngunakan Metode Forward Chaining di RSUD Teluk Kuantan. Jurnal Perancanaan, Sains, Teknologi dan Komputer, 2(1), 58-66.
[5] Santi, I. H., & Andari, B. (2019). Sistem pakar untuk Mengidentifikasi Jenis Kulit Wajah dengan Metode Certianty Factor. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 3(2). DOI: https://doi.org/10.29407/intensif.v3i2.12792 .
[6] Kuryanti, S. J., & Septiani, M. (2018). Sistem Pakar Untuk Mendiagnosis Penyakit Saluran Pernapasan Pada Anak (Studi Kasus: RSAB Harapan Kita Jakarta). Sinkron Jurnal & Penelitian Teknik Informatika. 2(2).
[7] Aini, N., Ramadiani, R., & Hatta, H. R. (2017). Sistem Pakar Penyakit Tuberkulosis. Informatika Mulawarnan, 12(1). DOI: http://dx.doi.org/10.30872/jim.v12i1.224 .
[8] Sumiati., Badriyah, R. D. M., & Ariani, A. (2017). Sistem Pakar Untuk Diagnosis Penyakit Paru-Paru Menggunakan Metode Certainty Factor di Puskesmas Citangkil. Jurnal ProTekInfo, 4(1), 34-42.
[9] Wahyuni, S. N., & Garjita, L. (2019). Perancangan Sistem Pakar Diagnosis Penyakit Gigi Menggunakan Algiritma Bayes. IJUBI Indonesian Journal of Business Intelligance. 2(1), 9-17. DOI: http://doi.org/10.21927/ijubi.v2i1.1020 .
Download
Published
2020-06-30
Issue
2021, Vol. 3, No. 2

Section
Articles

How to Cite

Siska, A., Yunus, Y., & Sumijan, S. (2020, June 30). Sistem Pakar Menggunakan Metode Certainty Factor dalam Akurasi Identifikasi Penyakit pada Paru. Jurnal Sistim Informasi Dan Teknologi, 3(2), 64-69. https://doi.org/10.37034/jsisfotek.v3i2.111
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.



Indexed:

Index Copernicus International (ICI) Google Scholar 

Registered:

  

Power by:
             

ISSN: 2686-3154 (electronic)
DOI: 10.37034/jsisfotek
Publisher: Rektorat Universitas Putra Indonesia YPTK Padang

Kampus Universitas Putra Indonesia YPTK Padang
Jl. Raya Lubuk Begalung Padang, Sumatera Barat - 25221
Website : http://jsisfotek.upiyptk.ac.id | Email : jsisfotek@upiyptk.ac.id