Digital transformation in public service: Evaluating e-government implementation and fiscal performance at Samsat Pajajaran Bandung

Inkha Hedian Dena Fritiar ()
Additional contact information
Inkha Hedian Dena Fritiar: Nurtanio University (Unnur) Bandung

Priviet Social Sciences Journal, 2026, vol. 6, issue 3, 25-33

Abstract: This study evaluates the implementation of e-government policies at Samsat Pajajaran, Bandung, focusing on fiscal performance and operational efficiency. Employing a qualitative case study design, data were gathered through in-depth interviews with purposively selected informants, including operational officers and taxpayers, as well as field observations and fiscal report analysis. The findings demonstrate that digitalization via the SIGNAL and e-Samsat platforms has successfully catalyzed local genuine revenue (PAD) growth, with a projected increase of IDR 250 billion by 2025. Operationally, service efficiency improved by 66.7%, reducing processing time from 45 to 15 minutes. However, the study identifies a significant digital divide affecting elderly taxpayers and technical latencies during peak hours. This research recommends a 50% increase in API server capacity to ensure socially inclusive governance.

Keywords: e-government; fiscal performance; SIGNAL; digital divide; public service efficiency (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.privietlab.org/download.php?id=12788 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prv:pssjpv:1487

Ordering information: This journal article can be ordered from
https://journal.priv ... SJ/article/view/1487

DOI: 10.55942/pssj.v6i3.1487

Access Statistics for this article

More articles in Priviet Social Sciences Journal from Privietlab Research Center
Bibliographic data for series maintained by Mochammad Fahlevi ().