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All Journal JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Journal of Applied Accounting
Sidik, M. Muhayin A
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Economics, Econometrics & Finance

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Pengaruh Penerapan Financial Technology (Fintech) Terhadap Rasio Keuangan Perusahaan Sektor Perbankan Yang Terdaftar di Bursa Efek Indonesia Tahun 2019-2022 Astusi, Widita Okta; Sidik, M. Muhayin A; Rachman, Artie Arditha
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 11 No. 6 (2025): Desember 2025
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v11i6.4915

Abstract

This study aims to examine the impact of the implementation of financial technology (fintech) on the financial ratios of banking sector companies listed on the Indonesia Stock Exchange (IDX) during the period of 2019-2022. The methodology used is a quantitative analysis with the collection of secondary data from annual financial statements. The results indicate that fintech positively influences Return on Asset (ROA), Return on Equity (ROE), and Net Interest Margin (NIM), with significance showing that fintech adoption enhances the efficiency and profitability of banks. The conclusion of this research is that fintech adoption can improve banking financial performance, which has positive implications for investors and other stakeholders.
Students’ Perceptions of Artificial Intelligence in Tax Learning Wisesa, Panca; Wulan, Diajeng Fitri; Ladista, Rindy Dwi; Sidik, M. Muhayin A
Journal of Applied Accounting Vol. 4 No. 2 (2025): Desember
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jaa.v4i2.1479

Abstract

The use of Artificial Intelligence (AI) in higher education has increased rapidly, with many students using AI-based applications independently to support learning. In regulation-based subjects such as taxation, this practice raises concerns related to learning accuracy, relevance to local regulations, and ethical use. This study aims to examine students’ perceptions of AI use in tax learning. A qualitative descriptive approach was employed involving undergraduate accounting and taxation students at the University of Lampung and the Lampung State Polytechnic who had taken taxation courses and used AI as a learning tool. Using purposive sampling, data were collected through an online questionnaire, resulting in 143 valid responses from an estimated eligible population of 809 students. The questionnaire included Likert-scale items and open-ended questions, with qualitative data analyzed using thematic analysis. The findings indicate that students perceive AI as a helpful learning support, particularly for understanding complex tax regulations, improving learning efficiency, and supporting independent study. However, concerns remain regarding information accuracy, limited relevance to Indonesian tax regulations, overreliance on AI, and academic integrity. This study concludes that AI can support tax learning when used as a complementary tool, supported by critical use and lecturer guidance.  Keywords: artificial intelligence; student perceptions; tax learning; higher education; qualitative research
Co-Authors Astusi, Widita Okta Ladista, Rindy Dwi Rachman, Artie Arditha Wisesa, Panca Wulan, Diajeng Fitri