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In Indonesia, beef meat usually sells with expensive price. It because of long distribution from the cattle rancher to the end customer. This causing a high-cost on the production and distribution. This condition made some people trying to be tricky by mixing beef meat with another meat, such as pork. It occurs the financial loss for customers. Currently, the meat identification done manually using visual identification of human vision. This method has a lot of weaknesses to differ beef and pork meat due because it need expert to identify the difference. The improvement of science and technology in computer vision helps the customer to identify beef and pork meat automatically using its images. This research classification of beef meat and pork using back-propagation method for its classifier. The purpose of this study is identifying differences in beef and pork based on digital image. Color feature using first order statistic …