Analyzing Airline Services and Communication Systems by Designing Machine Learning Model to Predict Passenger Satisfaction

This research explores the methods of assessing airline passenger satisfaction through surveys and analyzing factors that are strongly linked to whether a passenger is satisfied or dissatisfied. The aim is also to investigate if it is possible to predict passenger satisfaction levels. The dataset us...

詳細記述

書誌詳細

主要な著者:	Rodzan Iskandar, Okta Reni Azrina Rasyid Anies, Rusydi Iskandar, Mezan el-Khaeri Kesuma, Mario Konecki
フォーマット:	Artigo
言語:	Inglês
出版事項:	Universitas Islam Negeri Raden Intan Lampung 2023-12-01
シリーズ:	International Journal of Electronics and Communications System
主題:	airline services communication system machine learning passenger satisfaction
オンライン･アクセス:	https://ejournal.radenintan.ac.id/index.php/IJECS/article/view/19782
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