Decision support system for diagnosing diseases in dogs from behavior with text mining techniques

Abstract

This research aims to develop a decision system for diagnosing diseases in dogs from behavior with text mining techniques. To help dog owners to diagnose the disease from the behavior of the pet dog in order to be able to recognize the disease that may occur or already occur of the pet dog Measure the accuracy of the data and satisfaction in using the system by using questionnaires as tools Evaluation of accuracy of data with 80 percent accuracy and accuracy in diagnosis is 80 percent accurate

The results of evaluating the satisfaction of using the system from the sample group were 50 dog owners. The results of the satisfaction assessment on the use of dog diagnostics systems from behavior with text mining techniques Found that the satisfaction of using the system Very good with an average of 4.43 and overall satisfaction Very good the average value is 4.46. Overall, the system users are satisfied at a very good level. The average value is 4.44.