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Detail Article

Jurnal Ners

ISSN 1858-3598

Vol. 10 / No. 1 / Published : 2015-04

TOC : 9, and page :80 - 86

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Original Article :

The level of asthma diagnosing system by using fuzzy inference system

Author :

  1. Kholida Hanum*1
  2. Subiyanto*2
  1. Teknik Elektro, Universitas Negeri Semarang
  2. Teknik Elektro, Universitas Negeri Semarang

Abstract :

Introduction: This paper discus about fuzzy inference system for the diagnosis of asthma’s levels. The process of diagnosis was made from symptoms that occur in patients with asthma. Input process, results, and methodology in making this system was done carefully, so this system is expected valid and fit for medical diagnosis. Method: Methodology in the system  including the knowledge base, fuzzyfier, and inference engine. The symptoms used in diagnostic systems, including shortness of breath, wheezing, level of alertness/unique symptoms, respiratory rate, speech rate, pulse per minutes, and PEF after bronchodilator. And the output of asthma’s level diagnosis was mild, moderate, severe, and RAI/respiratory failure. The performance of system has been tested in Cilacap Pertamina Hospital, 20 patients with asthma were involved. The results of system and doctor’s opinion who has been treating patients with asthma were compared. Result: The result showed that the system obtained 90%, according to the doctor’s diagnosis. Discussion: This system is expected to help the medical expert or doctor in diagnosing the level of asthma.

Keyword :

Fuzzy inference system, diagnosis, level of asthma,


References :

  1. Kusumadewi Sri, Hari Purnomo, (2010). Aplikasi Logika Fuzzy untuk Pendukung Keputusan. - : -
  2. Departemen Kesehatan R.I., (2009). Pedoman Pengendalian Penyakit Asma. - : Jakarta: Departemen Kesehatan Republik Indonesia


   


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Volume : 10 / No. : 1 / Pub. : 2015-04
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