Building of Informatics, Technology and Science
Vol 4 No 2 (2022): September 2022

Sistem Pakar Diagnosa Penyakit Ayam Potong dan Petelur dengan Metode Dempster Shafer

Syahdad Eka Ramadhan (STMIK ROYAL, Kisaran)
Jhonson Efendi Hutagalung (STMIK ROYAL, Kisaran)
Suparmadi Suparmadi (STMIK ROYAL, Kisaran)



Article Info

Publish Date
28 Sep 2022

Abstract

At this time, chicken diseases often occur, especially for broiler and laying hens, so that it will cause a decrease in the production of meat and eggs. Diseases that attack chickens sometimes cannot be overcome by breeders because farmers do not understand the early symptoms of chicken illness, so farmers allow these conditions to cause chicken disease to get worse. If it gets worse then the disease will spread to other chickens quickly. Farmers also rarely consult with livestock extension workers at the Livestock Service Office of Asahan Regency and the agency cannot visit the farm because the road to the farm is far away and in a damaged condition. In order to be able to conduct good consultations between farmers and the service, it is necessary to design an application based on an expert system to facilitate farmers in diagnosing chicken diseases so that they do not have to come for consultation with livestock extension workers. With this web-based system used, it makes it easier for farmers to diagnose broiler and layer chicken diseases by simply selecting the symptoms that may be experienced by chickens in the system and the system will provide decisions about what diseases the chickens are experiencing. In the expert system application designed using data analysis with the Dempster Shafer method. The results of the decision with the case studied in the form of symptoms experienced by chickens resulted in 38.44% of snot disease, besides being able to determine the disease, this application can also provide a solution for handling it

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Journal Info

Abbrev

bits

Publisher

Subject

Computer Science & IT

Description

Building of Informatics, Technology and Science (BITS) is an open access media in publishing scientific articles that contain the results of research in information technology and computers. Paper that enters this journal will be checked for plagiarism and peer-rewiew first to maintain its quality. ...