Journal of Enviromental Engineering and Sustainable Technology
Vol 2, No 1 (2015)

PENGEMBANGAN SISTEM PAKAR DIAGNOSA PENYAKIT SAPI POTONG DENGAN METODE FUZZY K-NEAREST NEIGHBOUR

Restia Dwi Oktavianing Tyas (Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya)
Arief Andy Soebroto (Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya)
Muhammad Tanzil Furqon (Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya)

Article Info

Publish Date
16 Jul 2015

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%.

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Journal Info
Journal of Enviromental Engineering and Sustainable Technology
Website

Abbrev

JEEST

Publisher

Universitas Brawijaya

Subject

Environmental Science

Description

JEEST is an interdisciplinary and refereed journal, addresses matters related to environmental engineering and sustainable technology. Its range of themes encompasses ecological studies, field research, empirical work and descriptive analyses on topics such as environmental systems, environmental ...