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All Journal Banco: Jurnal Manajemen dan Perbankan Syariah Artificial Intelligence in Lifelong and Life-Course Education
Haeril Anwar
Unknown Affiliation
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Persepsi Masyarakat Islam terhadap Solusi Permodalan pada Lembaga Keuangan di Kecamatan Cempa Kabupaten Pinrang Haeril Anwar; Rusnaena; Zainal Said
BANCO: Jurnal Manajemen dan Perbankan Syariah Vol 2 No 1 (2020): Banco: Jurnal Manajemen dan Perbankan Syariah
Publisher : Institut Agama Islam Negeri Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.679 KB) | DOI: 10.35905/banco.v2i1.1348

Abstract

The lack of understanding of the Islamic community in financial institutions often causes problems in obtaining interest-free business capital solutions. Therefore it is necessary to understand people's perceptions of the capital of financial institutions. These problems can be identified by tracing the process of acquiring, interpreting, selecting, and organizing sensory information. The results of tracking people's perceptions of the capital of financial institutions will be analyzed using Islamic economic analysis.This research uses a qualitative approach and in collecting data using methods of observation, interviews, and documentation. Analysis of the data obtained from interviews, field notes, and other materials, was compiled systematically so that it was easily understood and elaborated in the form of quotations to find out how people's perceptions of capital in financial institutions as well as knowing capital concepts in the Cempa community with Islamic economic analysis.The results showed that: 1) Community perception The earthquake on capital issued by financial institutions is very helpful in improving the community's economy, especially in venture capital. 2) The concept of capital in the average earthquake community still uses conventional financial institutions that use the interest system that is prohibited by Islamic law. The Cempa community still uses the services of conventional financial institutions as a place for capital, because there are no Islamic financial institutions in the area. 3) Financial institutions in the Cempa community are quite evident from the results of interviews, the community uses the services of financial institutions as a place for business capital.
Learning Autonomy and Effectiveness in AI-Supported Engineering Education Integrating Technology Acceptance and Motivation Haeril Anwar; Ismawati; Agusnaya, Nurrahmah; Risal, Andi Akram Nur; Rifqie, Dary Mochammad
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 2 (2026): Artificial Intelligence in Lifelong and Life-Course Education
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aillce.v1i2.14

Abstract

Purpose – This study examines the influence of learning autonomy on learning effectiveness in artificial intelligence supported learning among engineering students by extending the Technology Acceptance Model with motivational and psychological factors.Design/methods/approach – A quantitative cross-sectional survey was conducted involving 90 engineering students from a public university in Indonesia who had experience using artificial intelligence tools for academic learning. Data were analyzed using partial least squares structural equation modeling to examine the relationships among perceived usefulness, self-efficacy, willingness for autonomous learning, and learning effectiveness and autonomy.Findings – The results indicate that perceived usefulness, self-efficacy, and willingness for autonomous learning all have significant positive effects on learning effectiveness and autonomy. Willingness for autonomous learning emerged as the strongest predictor, highlighting the central role of students’ internal motivation and readiness to manage their own learning processes in AI-supported environments.Research implications/limitations – The study is limited by its cross-sectional design, reliance on self-reported data, and a sample restricted to engineering students from a single institution, which may limit generalizability.Originality/value – This study extends the Technology Acceptance Model by integrating learning autonomy and motivational factors within an artificial intelligence supported learning context, offering empirical evidence to inform the design of balanced and student-centered AI-enhanced learning in higher education.
Co-Authors Agusnaya, Nurrahmah Andi Akram Nur Risal Ismawati Rifqie, Dary Mochammad Rusnaena Rusnaena Zainal Said