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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Ekonomi Bisnis
Sidiq, Darmawan
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Engineering

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Towards Tax Administration 3.0: Bracing the Challenges in Mobile Application Development Sidiq, Darmawan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 2 (June 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i2.915

Abstract

Tax Administration 3.0 calls for tax administrations to be a high-tech adaptive organization with human touch. To that extent, tax administrations worldwide have developed mobile app as a taxpayer touchpoint. As the results of tax administrations’ digital maturity assessment shows major room for improvement, the mobile app development also faced with challenges. This study aims to investigate challenges in tax services mobile app development using M-Pajak as a case study. The descriptive qualitative approach used as our research method is composed of literature review, semi structured interview, open coding, and thematic analysis. Our study finds that M-Pajak development faces challenges related with project management and application requirements. To mitigate the challenges, it is important to ensure that projects are sufficiently staffed. Furthermore, change management must be implemented by focusing on user needs, who largely determine the application success. Meanwhile, fragmentation can be considered as the most critical challenge as it affects other challenges. Diversity of platforms and devices in which the mobile application will be operated potentially affects other factors, such as interoperability, user experience, privacy, and security. This study is important for tax administrations to anticipate challenges in developing their mobile app. Finally, this study also enriches the literature through the investigation of the mobile app development challenges in the context of tax services mobile app.
Making AI Work for Government: Critical Success Factor Analysis Using R-SWARA Brillianto, Bramanti; Ruldeviyani, Yova; Sidiq, Darmawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 3 (2024): June 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i3.5813

Abstract

This study quantifies what makes Artificial Intelligence (AI) work for government, the critical success factors (CSFs) for successful AI implementation within the Directorate General of Taxes (DGT). Analyzing factors such as technology, organization, process, and environment, the research highlights the importance of organizational readiness, strategic vision, and leadership support to drive successful AI integration within DGT. The dimension of the organization became the most critical factor, followed by technology, process, and environment. The findings offer actionable insights for DGT's decision-making processes, aiding in strategic resource allocation and tailored AI strategy refinement. Furthermore, this research is a valuable reference for other public sector organizations that aim to enhance operational efficiency through the adoption of AI. This study empowers decision makers within the DGT and the wider public sector by providing nuanced information on the critical factors that influence the successful implementation of AI, fostering improved operational efficiency and governance practices.
Co-Authors Brillianto, Bramanti Raharjo, Teguh Trisnawaty, Ni Wayan Yova Ruldeviyani