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PENGARUH PROFITABILITAS, UKURAN PERUSAHAAN, DAN STRUKTUR KEPEMILIKAN TERHADAP PENGUNGKAPAN CORPORATE SOCIAL RESPONSIBILITY (CSR): STUDI EMPIRIS PADA PERUSAHAAN SEKTOR CONSUMER NON-CYCLICALS YANG TERDAFTAR DI BEI Gustari, Rizki Asih; Kamaliah, Kamaliah; Afifah, Ulfa
Jurnal Revenue : Jurnal Ilmiah Akuntansi Vol. 5 No. 2 (2025): Jurnal Revenue : Jurnal Ilmiah Akuntansi
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/rev.v5i2.632

Abstract

This research aims to examine the influence of profitability, company size, and ownership structure on Corporate Social Responsibility (CSR) disclosure. The research population includes non-cyclical consumer sector companies listed on the Indonesia Stock Exchange (BEI) in 2020-2023, with 76 companies selected as samples using a purposive sampling approach. The approach applied in this research is a quantitative approach, with data analysis using panel data regression using Eviews 12 software. The results show that profitability has a negative effect on CSR disclosure, company size has a positive effect on CSR disclosure, institutional ownership has a negative effect on CSR disclosure, while public ownership does not show a significant effect on CSR disclosure
AKUNTABILITAS DAN PATOLOGI AKUNTANSI DI ERA ARTIFICIAL INTELLIGENCE (AI), MACHINE LEARNING (ML), INTERNET OF THINGS (IOT) Pane, Masbulan; Yuntika, Lydia; Gustari, Rizki Asih; Muda, Iskandar
Integrative Perspectives of Social and Science Journal Vol. 2 No. 07 Desember (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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

Abstract

Perkembangan teknologi seperti kecerdasan buatan (AI), machine learning (ML), dan Internet of Things (IoT) telah mengubah lanskap akuntansi: dari sistem manual dan statis menuju pelaporan dan audit otomatis, real-time, dan berbasis data besar (big data). Perubahan ini menawarkan peningkatan efisiensi, akurasi, dan transparansi, namun juga menimbulkan tantangan etis serta potensi “patologi akuntansi” baru, termasuk manipulasi data, bias algoritmik, dan ketidakjelasan tanggung jawab. Artikel ini membahas bagaimana integrasi AI/ML/IoT mempengaruhi akuntabilitas dan risiko patologi akuntansi, serta implikasinya bagi profesi akuntan. Berdasarkan tinjauan literatur jurnal nasional (2024–2025), penelitian ini menyimpulkan bahwa meskipun teknologi meningkatkan deteksi fraud dan efisiensi audit, akuntabilitas sejati tetap membutuhkan kerangka etis, regulasi, dan audit algoritma.