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Land and Building Tax Socialization in the Community of Arcawinangun Village RT 03/ RW 07, East Purwokerto District, Banyumas Regency Rachmi Fitrijati, Krishnoe; Bakhtiar, Syamsul; Viviyanti, Hanny; Bachtiar, Haris; Ardiansyah, Abid; Sari, Winahyu Febrika
Jurnal Pengabdian Masyarakat Bestari Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmb.v3i10.11723

Abstract

the Arcawinangun Sub-district, East Purwokerto District, Banyumas Regency for Land and Building Tax Socialization, to improve awareness of the community. The program interacted directly with the social capital approach with the community to determine tax understanding and compliance through observation, interview, and socialization stages. The results of community service activities include providing education on the benefits of tax payments, Land and Building Tax levy rates, and payment procedures, as well as solving tax problems that occur in the local community.
Artificial Intelligence in Accounting: A Systematic Literature Review and Bibliometric Analysis of Opportunities, Challenges, and Future Directions Bakhtiar, Syamsul; Wijaya, Juli Riyanto Tri; Hidayah, Nurul
BISECER (Business Economic Entrepreneurship) Vol 9, No 1 (2026): Januari 2026
Publisher : Universitas Darul Ulum Islamic Centre Sudirman GUPPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61689/bisecer.v9i1.891

Abstract

This study aims to synthesize and analyze the current state of research on Artificial Intelligence (AI) in accounting, with the objective of developing a conceptual model that demonstrates AI's influence on efficiency, accuracy, and decision-making, alongside policy recommendations for developing countries. Employing a systematic literature review of 250 Scopus-indexed journal articles published between 2015 and 2025, the research applied the keywords “artificial intelligence” AND “accounting profession” OR “financial reporting” OR “audit automation.” The selection process involved title and abstract screening, full-text evaluation, and thematic coding. Results indicate a rapid growth in publications since 2023, led by contributions from the United States, China, and India, with emerging participation from developing economies. The field is highly interdisciplinary, dominated by Computer Science and Engineering, and supported largely by public funding. The findings reveal substantial opportunities for AI to enhance operational efficiency, data accuracy, and predictive decision-making, balanced against challenges such as algorithmic bias, cybersecurity risks, and skills gaps. The study concludes that successful AI adoption in accounting requires coordinated efforts across academia, industry, and government. Implications include the need for capacity-building, cross-disciplinary collaboration, and governance frameworks to ensure equitable, ethical, and sustainable AI implementation. Keywords: Artificial Intelligence, Accounting Profession, Financial Reporting, Audit Automation, Bibliometric Analysis