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THE DETERMINANTS OF A SUCCESSFUL IMPLEMENTATION OF E-RETRIBUTION PAYMENT SYSTEM: EVIDENCE FROM SLIPI MARKET OF JAKARTA Prabowo, Ilham Condro; Marwah, Syafa Kamilla
Journal of Applied Finance and Accounting Vol. 10 No. 2 (2023): Publish on December 2023
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jafa.v10i2.9964

Abstract

Payment of market retribution using E-Retribution makes it easier for traders in the market to settle their obligations. This study aims to determine the factors that influence the success of implementing E-Retribution using the Delone & Mclean IS Success Model. The present study used primary data using a questionnaire. Respondents to this study were 96 traders who used E-Retribution at Slipi Market, West Jakarta, by selecting using a purposive sampling method. The data analysis method used is PLS-SEM. The findings demonstrated that system, information, and service quality substantially impacted user satisfaction. However, system quality did not impact use, but the information and service quality significantly impacted use. After then, net benefits were significantly impacted by both use and user satisfaction.
Analyzing factors behind the successful adoption of the Samsat Digital National (SIGNAL) application for motor vehicle tax payment Prabowo, Ilham Condro; Ramadhia, Muhammad Alifian
Educoretax Vol 4 No 7 (2024)
Publisher : WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/educoretax.v4i7.938

Abstract

Officially launched by the Indonesian National Police in early 2023, the Samsat Digital Nasional (SIGNAL) application is a digital platform for motor vehicle tax payments, allowing taxpayers to pay via smartphones. This research aims to identify critical factors influencing the successful adoption of the SIGNAL application, such as perceived ease of use, perceived usefulness, enjoyment, and intention to use on actual use of the application, particularly in South Tangerang, Banten, Indonesia, using the Extended Technology Acceptance Model (TAM). Primary data for this study were collected through a questionnaire distributed to 98 respondents. It was found that 91 respondents met the criteria for taxpayers who had made tax payments using the SIGNAL application. The Data analysis method uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to explore the relationships between the variables. The results indicate that perceived ease of use and enjoyment positively influence users' intention to use, while perceived usefulness does not significantly affect intention to use. However, the intention to use positively significantly affects actual usage. These findings underscore the factors driving e-government service adoption and highlight the importance of user experience in application design. The study contributes to understanding digital service adoption in the public sector, suggesting that future strategies of Indonesian National Police should prioritize ease of use and enjoyment to enhance application usage.