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, 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. [ABSTRACT FROM AUTHOR]