Abstract :
The application of the Matplotlib Library for Visualization of Flight
Historical Statistics on Garuda Indonesia aircraft is one of the solutions to make it
easier to understand flight data. In this thesis we show how to use the matplotlib
library to visualize flight statistics data such as number of flights, number of fleets
and passenger capacity. We collect data from the official Garuda Indonesia website
and analyze it using python. After the data is processed, we create a visualization by
utilizing the matlotlib library to display the data in graphical form such as bar
charts. The result of this thesis is a sistem that facilitates the understanding of flight
data and allows more informed decision making, this also helps Garuda Indonesia in
improving flight planning and management so as to increase efficiency and satisfy
customers. The results of testing the System Usability Scale to users get a score of
72.4 from general respondents and 85 from airline respondents.