PENGARUH KETERSEDIAAN FITUR, KEAMANAN DAN KEMUDAHAN TERHADAP KENYAMANAN PENGGUNAAN MOBILE BANKING

The widespread use of mobile banking in every transaction leads to high user expectations for mobile banking services. This poses a significant challenge for banks to focus on user comfort. This study aims to measure the impact of feature availability, security, and ease of use on the comfort of mobile banking users. The research sample was obtained using a random sampling technique from mobile banking users in Cirebon City, with a total of 100 respondents, and data collection was conducted through a Google Form questionnaire. This study employs quantitative analysis, including outer loading analysis, inner model analysis, discriminant validity test, reliability test, determination coefficient test (R Square), effect size test (F Square), and predictive relevance test (Q Predict).Key words:features, security, userfriendly, comfort, mobile banking.

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Publication Details

Journal
Jurnal EBI
Published
2024-09-03
DOI
https://doi.org/10.52061/ebi.v6i2.319
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

PENGARUH KETERSEDIAAN FITUR, KEAMANAN DAN KEMUDAHAN TERHADAP KENYAMANAN PENGGUNAAN MOBILE BANKING

Felicia Chandra K, Oryz Agnu Dian Wulandari
Jurnal EBI
Decision Support System Applications
article

PENGARUH KETERSEDIAAN FITUR, KEAMANAN DAN KEMUDAHAN TERHADAP KENYAMANAN PENGGUNAAN MOBILE BANKING

Felicia Chandra K, Oryz Agnu Dian Wulandari
article en

Abstract

The widespread use of mobile banking in every transaction leads to high user expectations for mobile banking services. This poses a significant challenge for banks to focus on user comfort. This study aims to measure the impact of feature availability, security, and ease of use on the comfort of mobile banking users. The research sample was obtained using a random sampling technique from mobile banking users in Cirebon City, with a total of 100 respondents, and data collection was conducted through a Google Form questionnaire. This study employs quantitative analysis, including outer loading analysis, inner model analysis, discriminant validity test, reliability test, determination coefficient test (R Square), effect size test (F Square), and predictive relevance test (Q Predict).Key words:features, security, userfriendly, comfort, mobile banking.

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