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All Journal Ekonosfera: Jurnal Ekonomi, Akuntansi, Manajemen, Bisnis dan Teknik Global JURNAL ECONETICA: Jurnal Sosial, Ekonomi Dan Bisnis Jurnal Ekonomi, Manajemen, Bisnis dan Akuntansi Review
Gunawan Aji
Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan
Economics, Econometrics & Finance Social Sciences Other

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A Systematic Literature Review of the Effects of Exports, Imports, Exchange Rate, and Inflation on Indonesia’s Economic Growth Gunawan Aji; Eka Nur Kharisma; Ani Syafa’ah; Elviana Komala Putri; Intan Parwati
Econetica: Jurnal Sosial, Ekonomi, dan Bisnis Vol. 5 No. 1 (2023): Mei 2023
Publisher : Program Studi Ekonomi Islam Fakultas Ekonomi Universitas Nahdlatul UlamaNusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69503/econetica.v5i1.365

Abstract

Economic growth remains a central indicator of national welfare and development, particularlyin emerging economies such as Indonesia. This study systematically reviews empirical findingson how exports, imports, exchange rate fluctuations, and inflation influence Indonesia’seconomic growth. Using a systematic literature review approach, eight peer-reviewed journalarticles published between 2019 and 2023 were analyzed through thematic synthesis drawnfrom Google Scholar and other academic databases. The results reveal that exports consistentlycontribute positively to Indonesia’s gross domestic product (GDP), while the impacts of importsvary depending on domestic industrial capacity and global demand structures. Exchange ratestability is found to enhance trade competitiveness, whereas inflation demonstrates a short�term but significant effect on growth. The study highlights the interdependence between tradeand monetary variables in shaping macroeconomic performance. Policy implications emphasizethe importance of maintaining external balance, controlling inflationary pressure, and fosteringexport diversification to sustain long-term economic growth in Indonesia.
Digital Transformation in Accounting: A Systematic Review of New Trends Emilla Dwi Nurrahma; Naila Fadilah; Gunawan Aji
Jurnal Ekonomi, Manajemen, Bisnis dan Akuntansi Review Vol. 5 No. 2 (2025): December
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emba.v5i2.3587

Abstract

This study aims to identify trends, key issues, and technological developments in digital accounting through a Systematic Literature Review (SLR) approach. Articles were sourced from Google Scholar, published between 2020 and 2025, and focused on Indonesian-language literature. Out of 224 initial articles, 25 met the inclusion criteria and were analyzed using qualitative and bibliometric methods. The findings show that the most dominant topics include the application of technologies such as AI, blockchain, big data, and cloud computing, which enhance efficiency and transparency in financial reporting. However, significant challenges remain, including limited infrastructure, human resource competencies, and the need for adaptive regulations. The study also highlights the urgency of reforming accounting education curricula and strengthening digital ethics. This research offers both theoretical and practical contributions by mapping the direction of digital accounting development in Indonesia and identifying research gaps that could inform future studies and policy-making. Thus, accounting digitalization is not merely a technological trend, but a strategic necessity in navigating the digital economy era.
Peran Artificial Intelligence dan Otomatisasi Sebagai Solusi Inovatif Untuk Meminimalkan Kesalahan Akuntansi Ani Liani; Khusnul Definta; Gunawan Aji
Ekonosfera: Jurnal Ekonomi, Akuntansi, Manajemen, Bisnis dan Teknik Global Vol. 2 No. 1 (2026): Januari
Publisher : Yayasan Cendekia Gagayunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63142/ekonosfera.v2i1.468

Abstract

This study aims to systematically examine the role of Artificial Intelligence (AI) and automation in minimizing accounting errors while emphasizing its theoretical contribution to the growing body of AI-based accounting literature. Using a Systematic Literature Review (SLR) approach, twenty academic articles published between 2022 and 2025 were analyzed and categorized into three core themes: AI in error detection and correction, automation for reducing human error, and AI-based internal control and auditing. The findings reveal that AI technologies such as machine learning and anomaly detection are effective in identifying and correcting common accounting errors, including data entry mistakes, account misclassification, and fictitious transactions. Moreover, automation enhances operational efficiency, reduces manual workloads, supports real-time monitoring, and enables continuous auditing processes. Theoretically, this study strengthens the conceptualization of AI as a mechanism for accounting error mitigation rather than solely as an efficiency tool. The study concludes with a recommendation for future empirical research across industries to explore ethical integration and sustainable implementation of AI within accounting systems.
Co-Authors Ani Liani Ani Syafa’ah Eka Nur Kharisma Elviana Komala Putri Emilla Dwi Nurrahma Intan Parwati Khusnul Definta Naila Fadilah