Abur Hamdi Usman
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Aligning Indonesia's economic goals with SDGS: Strengthening Qur'anic principles in Islamic finance Azwar, Azwar; Abur Hamdi Usman
Jurnal Ekonomi & Keuangan Islam Volume 11 No. 1, January 2025
Publisher : Faculty of Economics, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/JEKI.vol11.iss1.art6

Abstract

Purpose – This research examines the relationship between Islamic bank financing aligned with the Sustainable Development Goals (SDGs) and economic growth, incorporating Qur'anic principles in Islamic finance.Methodology – Quarterly time-series data from Q1 2014 to Q1 2022 were analyzed using the cointegration and ARDL approaches. Data sources include the PSIFIs for Islamic Banks (IFSB Database), Indonesia's GDP (BPS), and the Financial Services Authority (OJK).Findings – Long-term analysis reveals that Islamic financing in SDG sectors such as SDG1 (No Poverty), SDG2 (Zero Hunger), SDG3 (Good Health and Well-being), SDG4 (Quality Education), and SDG11 (Sustainable Cities and Communities) positively correlate with economic growth, while SDG8 (Decent Work and Economic Growth) shows an inverse relationship. In the short term, financing in SDG2, SDG3, SDG8, and SDG9 (Industry, Innovation, and Infrastructure) positively impacts economic growth, whereas SDG6 (Clean Water and Sanitation) exhibits a negative association. These findings highlight Islamic finance's potential to address socio-economic challenges rooted in Qur'anic values, such as Surah al-Nisā’ [4]: 29 and al-Baqarah [2]: 261.Implications – Policymakers are encouraged to promote Islamic microfinance for SMEs and invest in rural sanitation infrastructure (SDG6). Furthermore, financing renewable energy projects (SDG7) aligns with sustainable development goals.Originality – This study bridges Islamic finance and sustainable development by integrating a Qur'anic perspective into the SDG framework, offering insights into leveraging Islamic finance to achieve sustainability and economic growth, while adhering to Islamic ethical principles.
Mengembalikan Kesejatian Peran Orang Tua dalam Pendidikan Anak: Sebuah Tinjauan Konseptual: Restoring the Authentic Role of Parents in Children's Education: A Conceptual Review Azwar, Azwar; Abur Hamdi Usman
TARBIYAH: Jurnal Pendidikan dan Pembelajaran Vol. 2 No. 1 (2025): TARBIYAH: Jurnal Pendidikan dan Pembelajaran
Publisher : Litera Academica Publishing

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This study aims to explore the true essence of the parental role in the tarbiyah (Islamic education) of children from an Islamic perspective, which is seen not merely as a biological or administrative responsibility, but as a sacred trust in shaping the child’s character, spirituality, and personality. The study also identifies the factors contributing to the weakening of parental roles in child education in the contemporary era and formulates a conceptual framework to restore this authentic role in accordance with Islamic values. The research employs a qualitative approach through library research and conceptual review, analyzing classical and contemporary literature, the Qur’an, hadiths, and relevant scholarly works using content analysis techniques. Findings show that in Islam, the parental role encompasses spiritual, intellectual, emotional, social, and cultural dimensions. Scholars such as Al-Ghazali and Ibn Qayyim emphasize the importance of early education grounded in tawheed (monotheism) and akhlaq (morality). Meanwhile, digitalization, lifestyle shifts, and the erosion of religious values are among the key factors diminishing parental involvement today. The proposed conceptual framework offers foundational principles and contextual approaches for nurturing children within an Islamic framework. Theoretically, this study enriches the discourse of Islamic education; practically, its findings provide a foundation for designing family education policies and Islamic parenting programs that are both contextual and responsive to contemporary challenges.
The Integration of Artificial Intelligence in Hadith Scholarship: A Bibliometric Perspective on Emerging Research Directions Azwar, Azwar; Abur Hamdi Usman; Mohd Farid Ravi Abdullah; Mutsalim Khareng; Lilly Suzana Shamsu
NUKHBATUL 'ULUM: Jurnal Bidang Kajian Islam Vol. 11 No. 1 (2025): NUKHBATUL 'ULUM: Jurnal Bidang Kajian Islam
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) Sekolah Tinggi Ilmu Islam dan Bahasa Arab (STIBA) Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36701/nukhbah.v11i1.2251

Abstract

This study aims to map the research landscape concerning the role of artificial intelligence (AI) in hadith studies. It seeks to identify key academic trends, including publication growth patterns, frequently explored topics, institutional and individual contributions, emerging research directions, and areas that remain underexplored. The analysis employs bibliometric methods based on data from the Scopus database, covering the period from 2013 to 2024. The findings reveal a significant increase in scholarly interest, with 103 publications identified, reflecting the growing recognition of AI's relevance in hadith scholarship. Among the most prolific contributors is Sayoud, H., while the most cited work—Hadith Data Mining and Classification: A Comparative Analysis by Saloot M.A. et al. (2021)—highlights the multidisciplinary importance of AI in the classification of hadith. Publication analysis shows that the Journal of Theoretical and Applied Information Technology, Lecture Notes in Computer Science, and Procedia Computer Science are the leading platforms for disseminating AI-related research in this domain. Universiti Kebangsaan Malaysia stands out as the most active institution in this field. Geographically, Malaysia leads the research output, contributing 30 publications. Topic mapping identifies key research themes such as hadith, authenticity, narrator, Qur'an, model, approach, technique, and classifier. Emerging topics—including authenticity, narrator, reliability, isnad (chain of transmission), saying, and deep learning—indicate a growing focus on hadith authentication and chain analysis using AI technologies. Conversely, areas such as complexity, challenge, meaning, phase, order, Muslim, and legislation appear to be underrepresented, suggesting potential opportunities for future exploration. This study highlights the growing integration of AI into hadith scholarship, urging institutions to adopt digital approaches, expand research collaboration, and explore underrepresented topics through broader datasets and mixed-method analyses to advance both theoretical and practical dimensions of Islamic studies.