Amirul Afif Muhamat
Universiti Teknologi MARA

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An analysis of factors that affect earnings quality on Islamic commercial banks: The case at Indonesia and Malaysia Syada Aryanto; Mukhzarudfa Mukhzarudfa; Wiralestari Wiralestari; Amirul Afif Muhamat
al-Uqud : Journal of Islamic Economics Vol. 7 No. 1 (2023): January
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.009 KB) | DOI: 10.26740/aluqud.v7n1.p110-125

Abstract

This research aims to determine the impact of leverage, liquidity, and profitability; examine company size as a moderating element; and compare earnings quality at Indonesian and Malaysian Islamic commercial banks. This study's subjects were Indonesian and Malaysian Islamic commercial banks, with a sample size of ten Indonesian Islamic commercial banks and fourteen Malaysian Islamic commercial banks from 2016-2020. The regression approach was employed in this investigation. According to the findings of this study, leverage does not affect earnings quality; liquidity hurts earnings quality; profitability does not affect earnings quality; company size is unable to moderate the relationship of leverage to earnings quality; company size is unable to moderate the relationship of liquidity to earnings quality; company size is unable to moderate the relationship between profitability and earnings quality; Leverage, liquidity and profitability simultaneously have no effect on earnings quality at Indonesian Islamic commercial banks, but simultaneously affect Malaysian Islamic commercial banks; and there is no difference in earnings quality at Indonesian and Malaysian Islamic commercial bank.
AI Integration in Entrepreneurship Education: A Systematic Review of the Mediating Role of Self-Efficacy Jejen Jaenal Aripin; Suryana Suryana; Heny Hendrayati; Raya Sulistyowati; Amirul Afif Muhamat; Farizki Maulana Rafliansyah; Jejen Jaenal Aripin; Suryana Suryana; Heny Hendrayati; Raya Sulistyowati; Amirul Afif Muhamat; Farizki Maulana Rafliansyah
Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Vol. 6 No. 4 (2026)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um065.v6.i4.2026.4

Abstract

The integration of artificial intelligence (AI) in entrepreneurship education has expanded rapidly following the launch of ChatGPT however, empirical evidence regarding its effectiveness and implementation challenges remains fragmented. This study synthesizes empirical evidence on AI integration in entrepreneurship education through a systematic literature review following PRISMA 2020 guidelines. A Scopus database search yielded 186 articles, with 25 empirical studies meeting inclusion criteria. Findings reveal neural networks and generative AI as dominant technologies, with neural networks applied in nearly half of the studies and generative AI in more than a quarter. Experiential learning emerged as the most effective pedagogical approach. Entrepreneurial self-efficacy was confirmed as a key mediator between AI and entrepreneurial intention, with consistently strong path coefficients and large effect sizes across studies. AI integration consistently enhanced entrepreneurial intention, self-efficacy, and knowledge acquisition. However, a notable decline in self-perceived creativity indicates potential deskilling risk. Primary challenges include limited technical infrastructure, faculty readiness, and ethical concerns. The concentration of studies in China constrains cross-cultural generalizability. This study proposes the Integrated AI-Entrepreneurship Education Model (IAEEM) as a conceptual framework and provides practical recommendations for higher education institutions to optimize AI integration while mitigating potential risks in developing students' entrepreneurial competencies effectively.