分析乘客在Citilink航空公司使用Web的理解和约束程度的影响

Afifa Agustus, Fryda Fatmayati
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摘要

在大流行期间,为了减少拥挤,航空公司通过网络办理登机手续,方便了潜在的乘客,但由于航空公司缺乏社会化,乘客仍然因为缺乏对网络办理登机手续的了解而感到困惑和犹豫。许多乘客仍然手动办理登机手续。本研究的目的是确定在Adi Soemarmo国际机场,乘客的理解和约束对花旗航空公司网络值机理解的影响程度。本研究采用定量方法。从9月到10月,在阿迪苏马莫索罗国际机场的人口都是城联乘客。本研究采用的技术是有目的抽样,本数据处理采用问卷调查法,数据处理采用SPSS 21软件程序。资料分析采用效度检验、信度检验、多元线性回归、T检验、F检验和决定系数(R2)。对F的分析结果是F count > F表,在Adi Soemarmo Solo国际机场,乘客对Citilink航空公司网络值机的理解程度和所面临的障碍有影响。而决定系数(R2)的结果为51.1%,意味着对网络值机的可变理解可以通过乘客的理解水平和所面临的障碍来解释,而其他变量可以解释48.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Pengaruh Tingkat Pemahaman Dan Kendala Yang Di Hadapi Penumpang Terhadap Pemahaman Penggunaan Web Check-In Pada Maskapai Citilink
To reduce crowds during a pandemics, the airlines convenience prospective passengers to check-in via web check-in, but due to lack of socialization from the airline, passengers are still confused and hesitant to use it due to lack of knowledge about web check-in Citilink airline at Adi Soemarmo Ineternational Airport, Solo. Many passengers still do manual check-in. The purpose of this study determine how much the analysis of the influence level of understanding and constraints on passengers on understanding of web check-in Citilink Airlines at Adi Soemarmo International Airport. This  Research uses a quantitative method. The population is all Citilink passengers at the Adi Soemarmo Solo International Airport from September to October. The technique in this study is a purposive sampling, this data processing use a questionnaire, and the data processing use the SPSS 21 software program. The data analysis used validity test, reliability test, multiple linear regression, T test, F test, and coefficient of determination (R2). The results of the analysis on the F is F count > F table, there is an influence on the level of understanding and obstacles faced by passengers on understanding of web check-in on Citilink airlines at Adi Soemarmo Solo International Airport. And the result of the coefficient of determination (R2) of 51,1% means the variable understanding of web check-in can explained by the variable level of understanding and obstacles faced by passengers, while 48,9% is explained by other variables.
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