Comparative Analysis Method of Certainty Factor, Dempster-Shafer, and The Probability of Damages Bayes Drone

Drone unmanned aircraft. This aircraft is controlled automatically by a computer program that is designed, or by remote control from the pilot contained in the plains or in other vehicles. Technological developments make drones also began to be applied to civilian purposes, mainly in the fields of business, industry and logistics. Even so, the drones are still reaping a lot of criticism from many quarters. In addition, the results of interviews with the author of the drones in a community electronic media is kaskus.co.id, drones users still complain availability of spare parts and also the place of service drone that still can not be reached in all regions in Indonesia, even in the city was the lack of availability of service centers is still perceived audience of drones be a trigger factor for the difficulty of drones could be accepted by society. One solution to address the destruction of the drones is to implement systems that provide information. Based on the problems above, one way to minimize the damage of drones is by making expert system. This expert system is one branch of artificial intelligence (Artificial Intelligence), who learn how to adopt an expert way of thinking in solving a problem, making a decision and draw conclusions from the facts. In this study, the authors compared the results of three methods, namely expert system Dempster Shafer method, the method of Certainty Factor, Bayesian probability method. To compare the results of the third output method based on parameters Accuracy, Recall, precission and Error Rate.