Utilization and Management of Technology in Making Decisions to Assist Owners in First Aid for Dogs

Abstract

Dogs are one of the pets that have a close relationship with humans, due to various factors including following the word, easy to be a human playmate, and even being docile to live with humans. However, in dog keeping, disease-related problems for dogs are harmful, not only to them but also to their owners. Difficult situations in obtaining treatment also often occur, where due to the distance of the veterinary clinic, the limited number of animal specialist clinics and the owner's desire to carry out the treatment on his own. Therefore, advanced technology needs to be introduced in diagnosing and giving recommendations to dog owners for first aid in providing fast and appropriate treatment to dogs. Therefore, here an expert mobile system-based application is introduced, that uses a decision tree classification method and a forward chaining algorithm. The application was tested for user acceptance using a Likert scale that yielded 94.4% for the ease of understanding the application, 92% for the ease of use of the application, 88% for the accuracy of providing information about symptoms and diseases, 93.6% for the attractiveness of the application display and 92.8% for the benefits for application users.