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All Journal Journal of Environmental Engineering and Sustainable Technology
Restia Dwi Oktavianing Tyas
Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya
Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Environmental Science Mechanical Engineering

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PENGEMBANGAN SISTEM PAKAR DIAGNOSA PENYAKIT SAPI POTONG DENGAN METODE FUZZY K-NEAREST NEIGHBOUR Restia Dwi Oktavianing Tyas; Arief Andy Soebroto; Muhammad Tanzil Furqon
Journal of Environmental Engineering and Sustainable Technology Vol 2, No 1 (2015)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (104.109 KB) | DOI: 10.21776/ub.jeest.2015.002.01.8

Abstract

Early detection and treatment of cow disease is an important thing for increasing productivity of beef. The dependence of the existence of an expert or veterinarian is too high. It is caused by a lack of knowledge of the breeder about cow disease. This is a condition in which an expert is needed. However, An expert or veterinarian is not always there every encountered, especially in country areas. Those problems can be solved by expert systems. This expert system using fuzzy K-Nearest Neighbour method to process the diagnosis. The results show the functional validation testing and system expertise by 100% and accuracy test variation k, variations training data and m by 97.56%.
Co-Authors Arief Andy Soebroto Muhammad Tanzil Furqon