Journal Industrial Servicess
Vol 10, No 2 (2024): October 2024

Analysis of factors influencing the use of digital payments on student purchase levels using Structural Equation Modeling (SEM)

Azahra, Nathania Nabilla (Universitas Negeri Malang)
Larasati, Aisyah (Universitas Negeri Malang)
Kuswardani, Chintia Dwi Wangsa (Universitas Negeri Malang)



Article Info

Publish Date
13 Mar 2025

Abstract

Technological advancements have driven the growth of digital payments, making them increasingly essential in everyday transactions. In Indonesia, Generation Z dominates its usage; however, the system is still evolving and continuously adapting to technological changes and user needs. This study aims to analyze the factors influencing students' interest in adopting digital payment services in Malang City and their impact on purchasing levels. Adapting the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this research examines Perceived Benefits (PB), Perceived Ease of Use (PEU), Attitude (A), Subjective Norm (SN), and Behavioral Control (BC). Data was collected through a questionnaire distributed to 225 students and analyzed using Structural Equation Modeling (SEM). The results show that Perceived Benefits (PB) and Attitude (A) have a direct influence on students' interest in using digital payments. Additionally, PB and PEU positively and significantly affect Attitude (A). Another key finding reveals that Student Interest has a negative and significant effect on Purchase Level, indicating that students with a high interest in digital payments tend to be more selective in making purchases.

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Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...