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Open access Jurnal SINTA 3

SISTEM PAKAR DIAGNOSIS PENYAKIT HEWAN SAPI DENGAN METODE FORWARD CHAINING

SemanTIK: Teknik Informasi · Vol. 4 No. 2 (2018) · pp. 111–120

DOI
10.55679/semantik.v4i2.4728
ISSN
2502-8928, 2460-1446
Published
2018-11-29
Publisher
Informatics Engineering Department of Halu Oleo University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The cow is a livestock that has a lot of economic potentials is quite promising. Diseases in cattle can be transmitted quickly and can result in death. The disease can be caused by bacteria, viruses, fungi, and parasite. To prevent cattle disease is not contagious, then the owner of the cow must know first about the diseases in cattle, so it can be done prevention and treatment of cattle as early as possible.The expert system is a system designed to imitate an expert’s expertise in solving an existing problem. Knowledge of veterinary diseases is drawn up about literature and interviews with veterinarians about veterinary disease used to diagnose disease-disease illness and how to treat it.Determination of disease in this expert system is done through a consultation process between users with the system and also use Forward Chaining method. The system will display symptoms of the disease, then the user selected symptoms experienced. User-selected symptoms will be adjusted to the existing rule so that users will get the diagnosis of symptoms, types of disease and treatment solutions. It is expected that this expert system can provide information and treatment early if the cattle are detected to experience pain. Keywords: Cow Disease, Expert System, Forward Chaining.DOI:10.5281/zenodo.1673278

Collaboration network of the authors

40 authors · 96 co-authorship links · 22 across different organisations · showing the 40 most connected

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

  • Universitas Halu Oleo
  • Institut Teknologi Sepuluh Nopember
  • Hasanuddin University
  • Universitas Sembilanbelas November Kolaka
  • Universitas Cokroaminoto Palopo
  • Universitas Gadjah Mada
  • Indonesia Open University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Adha Mashur SajiahUniversitas Halu Oleo5
Suharsono BantunUniversitas Sembilanbelas November Kolaka4
Statiswaty StatiswatyUniversitas Halu Oleo4
Bambang PramonoUniversitas Halu Oleo4
Muh. Ihsan SaritaUniversitas Halu Oleo3
Muh YaminUniversitas Halu Oleo3
Sutardi SutardiUniversitas Halu Oleo3
Nirsal NirsalUniversitas Cokroaminoto Palopo2
Rahmat RamadhanUniversitas Halu Oleo2
Rabiuldien AmatUniversitas Halu Oleo2
Agfianto Eko PutraUniversitas Gadjah Mada1
Dian NursantikaIndonesia Open University1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Agus Zainal ArifinInstitut Teknologi Sepuluh Nopember1
Mohammad ZarkasiInstitut Teknologi Sepuluh Nopember1
Chastine FatichahInstitut Teknologi Sepuluh Nopember1
Nanik SuciatiInstitut Teknologi Sepuluh Nopember1
Fransisca Joanet PontohHasanuddin University1
Amil Ahmad IlhamHasanuddin University1
Ingrid NurtanioHasanuddin University1
Linda Purnama MuriUniversitas Halu Oleo1
Irmaya Citra HarwendhaniAffiliation unknown1
Azim RamadhanAffiliation unknown1
Abdul MalikUniversitas Mega Buana Palopo1
Ayu Sabrina SyairUniversitas Halu Oleo1
La Ode ApriadiAffiliation unknown1
Muhammad FajarUniversity of Indonesia1
Andi Nur Melly AulianiAffiliation unknown1
Muhammad SyaifulAffiliation unknown1
Wa Ode Wahyuni MakmunUniversitas Halu Oleo1
Muhammad Ihsan SaritaUniversitas Halu Oleo1
Rifa’atus ShalihahUniversitas Halu Oleo1
Christine Florence KiswantoAffiliation unknown1
Iqbal TawaqqalAffiliation unknown1
Anita Puspita DewiAffiliation unknown1
Agtria Prilika HerniatyAffiliation unknown1
Muh Farid FachroniUniversitas Halu Oleo1

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://ojs.uho.ac.id/index.php/semantik/oai, first harvested 29 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">SISTEM PAKAR DIAGNOSIS PENYAKIT HEWAN SAPI DENGAN METODE FORWARD CHAINING</dc:title>
	<dc:creator>Fahmi, Muh. Abdi</dc:creator>
	<dc:creator>Ningrum, Ika Purwanti</dc:creator>
	<dc:creator>Sari, Jayanti Yusmah</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">The cow is a livestock that has a lot of economic potentials is quite promising. Diseases in cattle can be transmitted quickly and can result in death. The disease can be caused by bacteria, viruses, fungi, and parasite. To prevent cattle disease is not contagious, then the owner of the cow must know first about the diseases in cattle, so it can be done prevention and treatment of cattle as early as possible.The expert system is a system designed to imitate an expert’s expertise in solving an existing problem. Knowledge of veterinary diseases is drawn up about literature and interviews with veterinarians about veterinary disease used to diagnose disease-disease illness and how to treat it.Determination of disease in this expert system is done through a consultation process between users with the system and also use Forward Chaining method. The system will display symptoms of the disease, then the user selected symptoms experienced. User-selected symptoms will be adjusted to the existing rule so that users will get the diagnosis of symptoms, types of disease and treatment solutions. It is expected that this expert system can provide information and treatment early if the cattle are detected to experience pain. Keywords: Cow Disease, Expert System, Forward Chaining.DOI :10.5281/zenodo.1673278</dc:description>
	<dc:publisher xml:lang="en-US">Informatics Engineering Department of Halu Oleo University</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2018-11-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
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	<dc:identifier>https://ojs.uho.ac.id/index.php/semantik/article/view/4728</dc:identifier>
	<dc:identifier>10.55679/semantik.v4i2.4728</dc:identifier>
	<dc:source xml:lang="en-US">SemanTIK : Teknik Informasi; Vol 4, No 2 (2018): semanTIK; 111-120</dc:source>
	<dc:source>2502-8928</dc:source>
	<dc:source>2460-1446</dc:source>
	<dc:source>10.55679/semantik.v4i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/semantik/article/view/4728/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 semanTIK</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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