syamsudin Penggunaan Logika Fuzzy untuk Diagnosa Penyakit Pernafasan

Main Author: Syamsudin, Ahmad
Format: Article info Document eJournal
Bahasa: eng
Terbitan: Universitas Nusantara PGRI Kediri , 2017
Online Access: http://ojs.unpkediri.ac.id/index.php/gj/article/view/528
http://ojs.unpkediri.ac.id/index.php/gj/article/view/528/404
Daftar Isi:
  • Abstrak–Seiringperkembanganteknologi yang sangatpesat, padabidangkedokteransaatinijugatelahmemanfaatkanteknologiuntukmembantupeningkatanpelayanan yang lebihbaikkepadamasyarakatluas. Pekerjaan yang sangatsibukdariseorangdoktermengakibatkanbidangsistempakarmulaidimanfaatkanuntukmembantuseorangpakar/ahlidalammendiagnosaberbagaimacampenyakit, sepertiginjal, stroke, kanker, gigi, kulitdanjugaparu-paru. Sistempakarpenyakitpernapasanpadamanusianmerupakansalahsatu media yang diciptakangunamenggantikemampuanseorangpakar. Sisteminidiciptakangunamempermudahmanusiauntukmengetahuianekapenyakitpernafasanpadamanusiamelaluigejalanyatanpaharusdatanglangsungkepadaseorangdokter. Dari penelitiandihasilkansebuahperangkatlunakbaru   yang   mampumendiagnosapenyakitpernafasanberdasarkangejala   yang dimasukkandandapatmemberikaninformasitentangpenyakit yang terdiagnosa. Perangkatlunak   yang   dihasilkanmampumendiagnosapenyakitdalamdenganmenggunakanmetode  Tsukamotosertamenggunakanbahasapemograman  Java NetBeans IDE 6.8 yang dapatberaksilayaknyapakarinternis.  Sisteminidapatdigunakansebagai media konsultasi.   Kata Kunci—SistemPakar, Pernafasan, Fuzzy Tsukamoto
  • Abstract – As technology develops very rapidly, in the field of medicine have also been leveraging technology to help improve better services to the public. A very busy job of a doctor resulted in the field of expert systems began to be used to help an expert / specialist in diagnosing various diseases, such as kidney disease, stroke, cancer, teeth, skin and lungs. Expert systems in manusian respiratory disease is one of the media that was created to replace the ability of an expert. This system was created in order to facilitate people to know various respiratory diseases in humans through the symptoms without having to come directly to a doctor. The research produced a new software that can diagnose respiratory diseases based on symptoms entered and can provide information about the disease diagnosed. The resulting software is able to diagnose the disease in using Tsukamoto and using the Java programming language NetBeans IDE 6.8 which can act like an expert internist. This system can be used as a media consulting.   Keywords— Expert System, Respiration, Fuzzy Tsukamoto