Analysis of transaction security effectiveness using face recognition on digital wallet applications in generation Z in Indonesia
As a result of the advancement of technology, Indonesia’s focus has shifted to the enhancement and simplification of everyday transactions. This is highly common in the widespread use of e-wallets as a payment method for digital transactions involving multiple verification methods, including PIN, Pa...
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| creator | Fentisia, Yeslin Rahmadiyanti, Aulia Sisca Wijaya, Irene Dominika Madyatmadja, Evaristus Didik |
| description | As a result of the advancement of technology, Indonesia’s focus has shifted to the enhancement and simplification of everyday transactions. This is highly common in the widespread use of e-wallets as a payment method for digital transactions involving multiple verification methods, including PIN, Password, Face Recognition and others. This study was conducted by distributing questionnaires to 385 respondents from generation Z in Indonesia who utilized face recognition as a security verification method for digital transactions. The purpose of this paper is to demonstrate the security and efficacy of facial recognition in digital wallet payment verification applications as experienced by users. With the use of the TAM model’s analysis, it is proved that all the variables used are significantly related, allowing one to conclude that the safety and efficacy that are possessed are adequate. This paper also supports the growth of trust factors and reasonings for the usage of face recognition in digital transaction self-verification. |
| doi_str_mv | 10.1063/5.0201487 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2024, Vol.3026 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2962176290 |
| source | AIP Journals Complete |
| subjects | Effectiveness Electronic commerce Face recognition Generation Z Security Verification |
| title | Analysis of transaction security effectiveness using face recognition on digital wallet applications in generation Z in Indonesia |
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