POSITIONING PREDICTION FOR PASSENGERS QUANTITY OF INDONESIAN DOMESTIC FLIGHTS USE ARTIFICIAL NEURAL NETWORK AND MINIMUM SPANNING TREE

• Main Author: MEYLANI (NIM: 10113058), RENY
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23896
• Institution: Institut Teknologi Bandung

The similarity of passengers quantity on an airline route is crucial to the policies adopted by airline companies, airport companies and government. The movement of domestic flight passengers can be assumed by the movement of passengers from every city in Indonesia to Jakarta, because this town has...