SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA TERNAK BABI MENGGUNAKAN METODE K-NEAREST NEIGHBOUR (K-NN)

Abstract

Pigs are a kind of ungulate, long-nosed, lemper-nosed animal originating from Eurasia. If all this time people only think that the disease of pigs is caused by viruses or bacteria, that is wrong. Pigs are very sensitive and susceptible to disease. Disease causes economic losses in terms of mortality and morbidity of growth rates, poor food conversion, increased medical costs and disruption of production continuity. Research with the title "Expert System to Diagnose Disease in Pigs Using the K-Nearest Neighbor (K-NN) Method", has the formulation of the problem of how to build an expert system to diagnose diseases in pigs based on the symptoms inputted. The purpose of this study is to build an expert system that functions to identify diseases in pigs that can be used to identify or provide information about diseases in pigs using the KNN method. This research uses literary learning methods from various fields of science related to the identification of diseases in pigs, including the KNearest Neighbor (K-NN) algorithm, identification of diseases and symptoms in pigs and prevention of pig diseases. Based on the results and previous discussions, the writer can draw some conclusions, namely the K-Nearest Neighbor Method can determine the type of disease precisely by getting the best K value. K value used in this study is 3 with an average percentage of accuracy of 88,75% and error 11,25%.