Sistem Pakar Diagnosa Penyakit Tanaman Bawang Merah Menggunakan Metode Certainty Factor

Main Authors: Rosi, Mohammad Fathor, Prakoso, Bakhtiyar Hadi
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Puslitbang Sinergis Asa Professional , 2020
Subjects:
Online Access: http://bios.sinergis.org/index.php/bios/article/view/5
http://bios.sinergis.org/index.php/bios/article/view/5/3
ctrlnum article-5
fullrecord <?xml version="1.0"?> <dc schemaLocation="https://www.openarchives.org/OAI/2.0/oai_dc/ https://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Sistem Pakar Diagnosa Penyakit Tanaman Bawang Merah Menggunakan Metode Certainty Factor</title><creator>Rosi, Mohammad Fathor</creator><creator>Prakoso, Bakhtiyar Hadi</creator><subject lang="en-US">Expert System</subject><subject lang="en-US">Certainty Factor</subject><subject lang="en-US">Third Keyword</subject><description lang="en-US">The lack of knowledge of farmers and the unequal counseling about onion diseasefrom experts is a strong reason for the difficulty of overcoming or immediately treateddiseases of onions, for this requires early diagnosis of disease onion plants. Thisresearch uses the Certainty Factor method. This method uses the certainty of an experton the symptoms of each disease. By determining the value of MB (Measure ofBelieve) as the level of confidence in the hypothesis and MD (Measure of Disbelieve)the level of distrust of the hypothesis. After using the Certainty Factor formula, thevalue of each disease will be generated from the new symptoms owned by using thehighest value of each disease, so that is the result of disease diagnosis in shallots. Thisstudy uses as many as 35 data as testing and from these data obtained an accuracyvalue of 85.71%</description><publisher lang="en-US">Puslitbang Sinergis Asa Professional</publisher><date>2020-03-30</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://bios.sinergis.org/index.php/bios/article/view/5</identifier><identifier>10.37148/bios.v1i1.5</identifier><source lang="en-US">BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer; Vol 1 No 1 (2020); 20-27</source><source>2722-0850</source><language>eng</language><relation>http://bios.sinergis.org/index.php/bios/article/view/5/3</relation><recordID>article-5</recordID></dc>
language eng
format Journal:Article
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author Rosi, Mohammad Fathor
Prakoso, Bakhtiyar Hadi
title Sistem Pakar Diagnosa Penyakit Tanaman Bawang Merah Menggunakan Metode Certainty Factor
publisher Puslitbang Sinergis Asa Professional
publishDate 2020
topic Expert System
Certainty Factor
Third Keyword
url http://bios.sinergis.org/index.php/bios/article/view/5
http://bios.sinergis.org/index.php/bios/article/view/5/3
contents The lack of knowledge of farmers and the unequal counseling about onion diseasefrom experts is a strong reason for the difficulty of overcoming or immediately treateddiseases of onions, for this requires early diagnosis of disease onion plants. Thisresearch uses the Certainty Factor method. This method uses the certainty of an experton the symptoms of each disease. By determining the value of MB (Measure ofBelieve) as the level of confidence in the hypothesis and MD (Measure of Disbelieve)the level of distrust of the hypothesis. After using the Certainty Factor formula, thevalue of each disease will be generated from the new symptoms owned by using thehighest value of each disease, so that is the result of disease diagnosis in shallots. Thisstudy uses as many as 35 data as testing and from these data obtained an accuracyvalue of 85.71%
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