PERANCANGAN SISTEM PAKAR FUZZY RULE BASED UNTUK DIAGNOSA PENYAKIT ASMA
| Main Author: | Wiyono, Briansyah Setio |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
, 2011
|
| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/19136/ |
| ctrlnum |
19136 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://eprints.umm.ac.id/19136/</relation><title>PERANCANGAN SISTEM PAKAR FUZZY RULE BASED UNTUK DIAGNOSA PENYAKIT ASMA</title><creator>Wiyono, Briansyah Setio</creator><subject>TA Engineering (General). Civil engineering (General)</subject><description>One implementation of technology in medical is an expert system. Rule-based expert system represent knowledge as a set of production rules which have general form ?if A then B?. Rule based expert system has disadvantage of requiring a truly suitable match between premises and the conclusion. Fuzzy logic can be used to overcome this disadvantage.
Asthma is a serious public health problem in many countries around the world. Asthma management is emphasized on long term treatment and care of acute asthma attack or worsening symptoms by providing appropriate treatment. In this research will be discussed the determination of levels of severe acute asthma attack, and the implementation of fuzzy method to determine these levels. Test results shown that the application could generate diagnosis of severe acute asthma attack, both using 3 input variables and only 2 input variable</description><date>2011-10-18</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><identifier> Wiyono, Briansyah Setio (2011) PERANCANGAN SISTEM PAKAR FUZZY RULE BASED UNTUK DIAGNOSA PENYAKIT ASMA. Other thesis, University of Muhammadiyah Malang. </identifier><recordID>19136</recordID></dc>
|
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview |
| author |
Wiyono, Briansyah Setio |
| title |
PERANCANGAN SISTEM PAKAR FUZZY RULE BASED UNTUK DIAGNOSA PENYAKIT ASMA |
| publishDate |
2011 |
| topic |
TA Engineering (General). Civil engineering (General) |
| url |
http://eprints.umm.ac.id/19136/ |
| contents |
One implementation of technology in medical is an expert system. Rule-based expert system represent knowledge as a set of production rules which have general form ?if A then B?. Rule based expert system has disadvantage of requiring a truly suitable match between premises and the conclusion. Fuzzy logic can be used to overcome this disadvantage.
Asthma is a serious public health problem in many countries around the world. Asthma management is emphasized on long term treatment and care of acute asthma attack or worsening symptoms by providing appropriate treatment. In this research will be discussed the determination of levels of severe acute asthma attack, and the implementation of fuzzy method to determine these levels. Test results shown that the application could generate diagnosis of severe acute asthma attack, both using 3 input variables and only 2 input variable |
| id |
IOS4109.19136 |
| institution |
Universitas Muhammadiyah Malang |
| institution_id |
136 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Muhammadiyah Malang |
| library_id |
546 |
| collection |
UMM Institutional Repository |
| repository_id |
4109 |
| city |
MALANG |
| province |
JAWA TIMUR |
| repoId |
IOS4109 |
| first_indexed |
2017-03-21T02:44:27Z |
| last_indexed |
2017-03-21T02:44:27Z |
| recordtype |
dc |
| _version_ |
1675924233998303232 |
| score |
17.538404 |