IJIIS: International Journal of Informatics and Information Systems
Vol 4, No 1: March 2021

Predicting Airline Passenger Satisfaction with Classification Algorithms

B.Herawan Hayadi (Informatics Program, Faculty of Engineering, Universitas Prof. Dr. Hazairin, SH., Bengkulu, Indonesia.)
Jin-Mook Kim (Division of IT Education, Sunmoon University, South Korea)
Khodijah Hulliyah (International Islamic University Malaysia, Malaysia)
Husni Teja Sukmana (Universitas Islam Negeri Syarif Hidayatullah, Indonesia)



Article Info

Publish Date
01 Mar 2021

Abstract

Airline businesses around the world have been destroyed by Covid-19 as most international air travel has been banned. Almost all airlines around the world suffer losses, due to being prohibited from carrying out aviation transportation activities which are their biggest source of income. In fact, several airlines such as Thai Airways have filed for bankruptcy. Nonetheless, after the storm ends, demand for air travel is expected to spike as people return for holidays abroad. The research is aimed at analyzing the competition in the aviation industry and what factors are the keys to its success. This study uses several classification models such as KNN, Logistic Regression, Gaussian NB, Decision Trees and Random Forest which will later be compared. The results of this study get the Random Forest Algorithm using a threshold of 0.7 to get an accuracy of 99% and an important factor in getting customer satisfaction is the Inflight Wi-Fi Service.

Copyrights © 2021






Journal Info

Abbrev

IJIIS

Publisher

Subject

Computer Science & IT

Description

The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); ...