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Analysis of the Potential of Green Sukuk in Infrastructure Finance in Aceh Province Rico Dwi Cahyo; Elvitri Elvitri; Muammar Khaddafi; Iswadi Iswadi
Jurma : Jurnal Program Mahasiswa Kreatif Vol 8 No 1 (2024): JUNI
Publisher : LPPM UIKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/jurma.v8i1.2192

Abstract

Environmental problems are important because the quality of the environment will directly affect the quality of human life. In addition, the quality of the environment also affects the quality of human life in the future. Since 2018, Green Sukuk has been presented as a new alternative for people who want to invest their funds in bonds that combine the sharia system and use targets for companies that are promoting environmental care principles. It is also an alternative for local governments who need funding for infrastructure development in the region. This study aims to analyze the potential of Green Sukuk in infrastructure financing in the province of Aceh. The method used is descriptive qualitative. Sampling in this study uses a purposive sampling technique. This research is an analytical study with a SWOT analysis to determine the formulation in the preparation of long-term strategies. The population in this study are the stakeholders involved in uncovering the potential of green Sukuk in infrastructure financing in Aceh
Kecerdasan Buatan Sebagai Penggerak Inovasi Dalam Praktik Audit Kontemporer Sisi Maghfirah Rahmah Sembiring; Nurul Mizna Sukma; Rico Dwi Cahyo; Ningrum Trija Kesuma
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.6966

Abstract

This study aims to examine the role of artificial intelligence as a driver of innovation in contemporary auditing practices. The research method used is a Systematic Literature Review (SLR) of reputable scientific articles obtained from the Scopus, Web of Science, and Google Scholar databases. The literature selection process was carried out systematically through the stages of identification, screening, eligibility, and inclusion. The results of the study show that the application of AI in auditing can improve the efficiency, accuracy, and quality of audits, particularly in data processing, risk assessment, and anomaly detection. However, the implementation of AI still faces challenges in the form of human resource readiness, data quality and security, as well as ethical and regulatory issues. This study emphasises that the successful integration of AI in auditing requires technological support, auditor competence, and an adequate regulatory framework.