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An Expert System of Chicken Disease Diagnosis by Using Dempster Shafer Method

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 14 No. 3 (2020) · pp. 265–276

DOI
10.22146/ijccs.55632
ISSN
2460-7258, 1978-1520
Published
2020-07-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Chicken is an animal that can provide many benefits for human life, meat and eggs can be used as food to fulfill the needs of human food, the excrement can be made fertilizer, and frequently its be used as a farm animal. Although it can provide many benefits, but for chicken farmers, the maintenance of chicken meet some obstacles that must be faced such as disease, poor environmental sanitation, and the production of eggs are declining. From some of the obstacles that have been mentioned, the most frequently encountered are animals infected with the disease. Based on the results of interviews that have been done to some chicken farmers, it can be said that the knowledge of chicken farmers against chicken disease and its handling is still very lacking. But the number of experts who understand and know about the type of chicken disease and the way of handling is limited, then it takes an expert system that can simulate knowledge and understanding of experts to overcome the problem. Based on the study of the libraries, the method suitable for use in the expert system is the Dempster shafer method by processing the value of belief in a disease. Dempster shafer method is a method used to calculate uncertainty due to the addition or reduction of new facts that will change the existing rules. Based on tests in 40 cases using an expert system applying the Dempster Shafer method, obtained the percentage of diagnostic compatibility result given by experts and system is 95%.

Keywords

Collaboration network of the authors

28 authors · 49 co-authorship links · 13 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • University of Brawijaya
  • National Research and Innovation Agency
  • Sumatera Institute of Technology
  • University of Ulsan
  • Universitas Negeri Surabaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad Dzulfikar FauziUniversitas Gadjah Mada2
Arief IchwaniSumatera Institute of Technology1
Chasandra PuspitasariUniversitas Gadjah Mada1
Kasliono KaslionoUniversitas Gadjah Mada1
Wahyu Sri MulyaniUniversitas Gadjah Mada1
Laksono KurnianggoroUniversity of Ulsan1
Windyaning UstyannieUniversitas Gadjah Mada1
Devi Valentino WaasUniversitas Gadjah Mada1
Muhammad Faqih DzulqarnainUniversitas Gadjah Mada1
Faizal MakhrusUniversitas Gadjah Mada1
Joko HariyonoAffiliation unknown1
Agus HarjokoUniversitas Gadjah Mada1
Abdul KholikUniversitas Gadjah Mada1
Agfianto Eko PutraUniversitas Gadjah Mada1
Nur RokhmanUniversitas Gadjah Mada1
Riska Amalia PraptiwiUniversitas Gadjah Mada1
Agung PambudiUniversitas Gadjah Mada1
Aliyyah Nur AzhariUniversitas Gadjah Mada1
Nasution NasutionUniversitas Gadjah Mada1
Yusi Tyroni MursityoUniversity of Brawijaya1
Muhammad GhiffariUniversity of Brawijaya1
Yurizka Melia SariUniversitas Negeri Surabaya1
Janu ArlinwibowoNational Research and Innovation Agency1
Gupita Nadindra FatimaAffiliation unknown1
Dwi PurwokoNational Research and Innovation Agency1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.ugm.ac.id/ijccs/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">An Expert System of Chicken Disease Diagnosis by Using Dempster Shafer Method</dc:title>
	<dc:creator>Santosa, Yaqutina Marjani</dc:creator>
	<dc:creator>Suprapto, Suprapto</dc:creator>
	<dc:creator>Wahyono, Wahyono</dc:creator>
	<dc:subject xml:lang="en-US">Computer Science</dc:subject>
	<dc:subject xml:lang="en-US">Expert System; Chicken Disease; Dempster shafer</dc:subject>
	<dc:description xml:lang="en-US"> Chicken is an animal that can provide many benefits for human life, meat and eggs can be used as food to fulfill the needs of human food, the excrement can be made fertilizer, and frequently its be used as a farm animal. Although it can provide many benefits, but for chicken farmers, the maintenance of chicken meet some obstacles that must be faced such as disease, poor environmental sanitation, and the production of eggs are declining. From some of the obstacles that have been mentioned, the most frequently encountered are animals infected with the disease. Based on the results of interviews that have been done to some chicken farmers, it can be said that the knowledge of chicken farmers against chicken disease and its handling is still very lacking. But the number of experts who understand and know about the type of chicken disease and the way of handling is limited, then it takes an expert system that can simulate knowledge and understanding of experts to overcome the problem. Based on the study of the libraries, the method suitable for use in the expert system is the Dempster shafer method by processing the value of belief in a disease. Dempster shafer method is a method used to calculate uncertainty due to the addition or reduction of new facts that will change the existing rules. Based on tests in 40 cases using an expert system applying the Dempster Shafer method, obtained the percentage of diagnostic compatibility result given by experts and system is 95%.</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US">Department of Computer Science and Electronics, FMIPA UGM, Yogyakarta</dc:contributor>
	<dc:date>2020-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/55632</dc:identifier>
	<dc:identifier>10.22146/ijccs.55632</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 14, No 3 (2020): July; 265-276</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/55632/28363</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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