Algoritma Backpropagation untuk Prediksi Delay Pesawat Akibat Cuaca (Studi Kas us : Bandara Internasional Soe karno-Hatta)

Abstract

Weather has an important role in aviation activity. Weather can provide increased efficiency and effectiveness of aviation safety, but the weather also has potential to cause flight disruptions. The weather becomes difficult to predict on a flight. Artificial Neural Network (ANN) is the development of artificial intelligence theory that has been used in many applications one of which is a prediction. Algorithm which has the accuracy and effectiveness is better than the other ANN algorithm is Backpropagation. Results of analysis showed that the accuracy of the values obtained Bakcpropagation algorithm to achieve a very high accuracy rate to predict. The results of this study can be used as a reference to predict aircraft delay.