Prediksi Tingkat Kepenuhan Penumpang Pesawat dari Bandara Hang Nadim Batam

Abstract

Batam is a very strategic area located in the Indonesia Malaysia Singapore Growth Triangle region. Transportation is an important factor in the economic growth of Batam City, especially air transportation. Various types of data are collected, but only a few are analyzed so that they can generate new knowledge. This research will analyze flight data from Hang Nadim Batam airport to predict the fullness of aircraft from Batam to various destinations. The results showed that the support vector machine (SVM) model showed a higher level of accuracy than decision tree in predicting the fullness of the aircraft