Research Article
Comparative Analysis Method of Certainty Factor, Dempster-Shafer, and The Probability of Damages Bayes Drone
@INPROCEEDINGS{10.4108/eai.7-11-2019.2294566, author={Victor Amrizal and Rifal Nofri Yansyah and Siti Ummi Masruroh and Dewi Khairani}, title={Comparative Analysis Method of Certainty Factor, Dempster-Shafer, and The Probability of Damages Bayes Drone}, proceedings={Proceedings of the 2nd International Colloquium on Interdisciplinary Islamic Studies (ICIIS) in Conjunction with the 3rd International Conference on Quran and Hadith Studies (ICONQUHAS)}, publisher={EAI}, proceedings_a={ICIIS}, year={2020}, month={5}, keywords={expert system certainty factor dempster shafer bayesian probability artificial intelligence certainty factor damage drones codeigniter css javascript}, doi={10.4108/eai.7-11-2019.2294566} }- Victor Amrizal
Rifal Nofri Yansyah
Siti Ummi Masruroh
Dewi Khairani
Year: 2020
Comparative Analysis Method of Certainty Factor, Dempster-Shafer, and The Probability of Damages Bayes Drone
ICIIS
EAI
DOI: 10.4108/eai.7-11-2019.2294566
Abstract
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. 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.