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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...

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Principais autores: Rodzan Iskandar, Okta Reni Azrina Rasyid Anies, Rusydi Iskandar, Mezan el-Khaeri Kesuma, Mario Konecki
Format: Artigo
Sprog:Inglês
Udgivet: Universitas Islam Negeri Raden Intan Lampung 2023-12-01
Serier:International Journal of Electronics and Communications System
Fag:
airline services
communication system
machine learning
passenger satisfaction
Online adgang:https://ejournal.radenintan.ac.id/index.php/IJECS/article/view/19782
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