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All Journal Riau Journal of Computer Science JURNAL MEDIA INFORMATIKA BUDIDARMA Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD J-Com (Journal of Computer) SATIN - Sains dan Teknologi Informasi Gudang Jurnal Multidisiplin Ilmu
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Journal : Jurnal%20Teknik%20Informatika%20(JUTIF)

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EXPERT SYSTEM DIAGNOSE DISEASES IN GOATS USING THE APPLICATION OF CERTAINTY FACTOR AT THE ASAHAN DISTRICK LIVESTOCK SERVICE Lizza Nattasya Marpaung; Dahriansah; Cecep Maulana
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.153

Abstract

Goats are livestock that provides many benefits for humans such as meat, milk, and skin. Goat meat is now also one of the important foodstuffs in meeting people's nutrition and is widely marketed. Livestock health is the most important factor in the cultivation of goats, therefore the presence of diseases in goats can result in economic losses because it can reduce livestock productivity and can even cause death in goats. However, most of the goat breeders still lack knowledge of disease control in goats plus the ratio of the number of experts is not balanced with the number of breeders which causes limited service facilities for a consultation so that it is increasingly difficult for breeders to identify the type of disease early on and the solutions that will be carried out next. To overcome this problem, an expert system was built that can assist farmers in diagnosing diseases in goats. This study uses the certainty factor method in solving problems that exist in goats. The data used in this study consisted of 8 disease data and 30 symptom data caused by bacteria, viruses and parasites. Each symptom has a CF value given by experts, namely veterinarians. So that a 90% percentage of the level of conformity for the system's accuracy level is obtained based on the results of expert and system validation.
Co-Authors Andri Nata Cecep Maulana Dwi Kurniawati Harahap, Indra Ramadona Irianto Irianto Jhonson Efendi Hutagalung Lizza Nattasya Marpaung Nasution, Akmal Nofriadi Nofriadi Nur Afni Syahpitri Damanik Ricki Ananda William Ramdhan