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All Journal PERADABAN JOURNAL of ECONOMIC and BUSINESS Journal of Artificial Intelligence and Digital Business Jurnal Akuntansi dan Sistem Informasi
Sivano, Tamara Theresia
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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Digital Transformation in Accounting: Peran Accounting Information Systems dalam Mendorong Aksesibilitas Data Aulia, Suci; Sivano, Tamara Theresia; Purnomo, Didik Heri; DP, Rina Tjandra Kirana
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.7290

Abstract

This research explores the impact of digital transformation on Accounting Information Systems (AIS) with a specific focus on improving data accessibility in the modern financial environment. The rapid advancement of digital technologies has encouraged organizations to adopt more sophisticated and integrated accounting systems to support faster and more transparent financial reporting. By utilizing a systematic literature mapping approach, this study analyzes 27 peer-reviewed articles published between 2021 and 2026 in order to synthesize current technological developments, implementation strategies, and structural challenges related to the digitalization of accounting systems. The findings reveal that the integration of emerging technologies such as Artificial Intelligence (AI), cloud computing, and blockchain plays a crucial role in enhancing the efficiency, reliability, and accessibility of financial data. These technologies enable real-time financial transparency, improve operational intelligence, and strengthen internal control mechanisms within organizations. Furthermore, the study shows that digital technologies can significantly accelerate the distribution of accounting information and potentially reduce fraud risks by up to 85 percent. However, the effectiveness of these technologies is not determined solely by technical capabilities. Non-technical factors, including organizational culture, digital readiness, employee competence, and the presence of technical debt, strongly influence the success of AIS implementation. Therefore, achieving optimal data accessibility requires a balanced synergy between advanced technological infrastructure and a proactive digital mindset within the workforce. These findings highlight the importance of modernizing accounting education curricula to address the growing digital skills gap and support sustainable digital maturity in the accounting profession.
Activity-Based Budgeting: Innovative Budgeting or an Efficiency Illusion? : A Systematic Literature Study Sivano, Tamara Theresia; Sinta, Clara; Rizkiyah, Miftahul; Vanesca, Naqiyyah Ghina Kurnia; Sulbahari, Rifani Akbar
Peradaban Journal of Economic and Business Vol. 5 No. 1 (2026)
Publisher : Pustaka Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59001/pjeb.v5i1.812

Abstract

This study evaluates the effectiveness of Activity-Based Budgeting (ABB) and Activity-Based Management (ABM) implementation to determine whether these systems constitute a strategic innovation or merely an illusion of efficiency. Employing a Systematic Literature Review (SLR) methodology in accordance with the PRISMA 2020 protocol, this research synthesizes 19 internationally reputable articles published between 2011 and 2025. The findings reveal a significant dialectic in global budgeting practices; while the majority of the literature positions ABB/ABM as a genuine innovation that enhances cost accuracy and resource transparency, the study also uncovers an "administrative illusion." In such cases, systems are often exploited for strategic behavioral manipulation or hindered by organizational cultural resistance. Additionally, neutral outcomes are observed in several contexts due to technical complexities and bureaucratic barriers. This study concludes that the transformation from traditional budgeting to activity-based systems requires robust institutional commitment and advanced data infrastructure to prevent the system from becoming a mere administrative formality. Theoretically, this research contributes to the contingency theory of management accounting, while practically, it provides a framework for organizations to assess their readiness for ABB/ABM adoption. Penelitian ini mengevaluasi efektivitas implementasi Activity-Based Budgeting (ABB) dan Activity-Based Management (ABM) untuk menentukan apakah sistem ini merupakan inovasi strategis atau sekadar ilusi efisiensi. Dengan menggunakan metode Systematic Literature Review (SLR) sesuai protokol PRISMA 2020, penelitian ini menyintesis 19 artikel bereputasi internasional yang diterbitkan antara tahun 2011 dan 2025. Temuan menunjukkan adanya dialektika yang signifikan dalam praktik penganggaran global; mayoritas literatur memosisikan ABB/ABM sebagai inovasi nyata yang meningkatkan akurasi biaya dan transparansi sumber daya. Namun, penelitian ini juga mengungkap adanya "ilusi administratif," di mana sistem dieksploitasi untuk manipulasi perilaku strategis atau terhambat oleh resistensi budaya organisasi. Selain itu, hasil netral ditemukan pada beberapa konteks akibat kompleksitas teknis dan hambatan birokrasi. Penelitian ini menyimpulkan bahwa transformasi dari penganggaran tradisional ke sistem berbasis aktivitas memerlukan komitmen institusional yang kuat dan infrastruktur data yang mumpuni agar tidak menjadi formalitas administratif semata. Secara teoretis, penelitian ini berkontribusi pada teori kontingensi akuntansi manajemen, sementara secara praktis, penelitian ini menyediakan kerangka kerja bagi organisasi untuk menilai kesiapan adopsi ABB/ABM.
Membongkar Greenwashing Melalui Instrumen Audit Berbasis AI: Sebuah Tinjauan Literatur Sivano, Tamara Theresia; Rina Tjandra Kirana
Jurnal Akuntansi dan Sistem Informasi Vol. 1 No. 3 (2026): Edisi: April-Juni
Publisher : Pustaka Bangsa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini mengevaluasi efektivitas instrumen audit berbasis Artificial Intelligence (AI) dalam mendeteksi praktik greenwashing bagi pemangku kepentingan eksternal. Dengan metode Systematic Literature Review terhadap 31 artikel terindeks Scopus periode 2021–2026, studi ini menyintesis perkembangan Natural Language Processing, Large Language Models multimodal, dan Explainable AI. Hasil menunjukkan bahwa AI memperkuat audit keberlanjutan melalui verifikasi data objektif outside-in, analisis naratif, visual, dan prediktif, serta deteksi inkonsistensi klaim lingkungan yang sulit dijangkau audit konvensional. Efektivitas instrumen ini terbatas oleh risiko halusinasi algoritma, sifat black-box, ketergantungan pada kualitas data, dan potensi AI-generated greenwashing. Secara teoretis, penelitian memperluas teori keagenan dan teori sinyal dengan memosisikan AI sebagai alat penurun biaya pemantauan dan asimetri informasi. Secara praktis, studi menekankan perlunya standar audit digital global, transparansi algoritma, dan mekanisme human-in-the-loop untuk menjamin akuntabilitas pelaporan keberlanjutan serta meningkatkan kepercayaan investor, regulator, dan auditor independen terhadap integritas ESG.
Co-Authors DP, Rina Tjandra Kirana Purnomo, Didik Heri Rina Tjandra Kirana Rizkiyah, Miftahul Sinta, Clara Sulbahari, Rifani Akbar Vanesca, Naqiyyah Ghina Kurnia