Claim Missing Document
Check
Articles

Found 14 Documents
Search

QAWAID TAFSIR : THE APPLICATION OF SYNTAX, MORPHOLOGY, AND RHETORIC BY M. QURAISH SHIHAB (B. 1944) Usman, Abur Hamdi; Abdullah, Mohd Farid Ravi; Azwar, Azwar
Al-Bayan: Jurnal Studi Al-Qur'an dan Tafsir Vol 9 No 1 (2024): Al-Bayan : Jurnal Ilmu Al-Qur'an dan Tafsir
Publisher : Quranic and Tafsir studies Programme at Ushuluddin Faculty

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/al-bayan.v9i1.16266

Abstract

M. Quraish Shihab (Shihab) is one of the great exegetes in the Indonesian archipelago. He is well known for applying Qawā‘id al-Tafsīr in interpreting the Quran. These rules are popular among many exegetes to support their interpretations aligned with the teachings and goals of the Quran. Furthermore, to ensure the interpretations do not deviate from the valid message of the Quran. This paper adopts an analytical approach in Tafsir Al-Mishbah to describe the Syntax, Morphology, and Rhetoric of selected Quranic verses. It shows that Qawā'id al-Tafsīr is an essential tool in Quranic exegesis. Mastering these rules can help interpret certain verses that have similar meanings. This paper also proves that Shihab had adopted Qawā‘id al-Tafsīr that earlier exegetes used.
Formulating Islamic Da‘wah Strategies for Generation Z in Indonesia: a SWOT Analysis Azwar, Azwar; Usman, Abur Hamdi; Ravi Abdullah, Mohd Farid
Al-madinah: Journal of Islamic Civilization Vol. 2 No. 2 (2025): Al-madinah: Journal of Islamic Civilization
Publisher : Pusat Pengkajian dan Pengembangan Islam Jakarta (PPIJ)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70901/5hzczr93

Abstract

This study aims to identify the strengths, weaknesses, opportunities, and threats (SWOT) of Islamic da‘wah targeting Generation Z (Gen-Z) in Indonesia, focusing on the formulation of innovative and adaptive strategies. Employing a qualitative descriptive-analytical method, the research draws on participatory observation and document analysis. The findings show that Islamic da‘wah has significant strengths in adapting to digital platforms such as social media and video-sharing apps, with visually engaging content that resonates with Gen-Z. Community-based approaches also foster emotional engagement with Islamic values. However, weaknesses remain, including limited digital literacy among preachers and the lack of structured, consistent content. Conventional da‘wah models are often too formal, making them less appealing to Gen-Z’s preference for interactive and expressive communication. Opportunities lie in the expansive reach of digital media and Gen-Z’s growing interest in social and global issues. Da‘wah that promotes values like justice, compassion, and social responsibility aligns with Gen-Z’s concerns. Nevertheless, several threats challenge the effectiveness of da‘wah, including the unregulated flow of online information, exposure to misleading or radical content, and the influence of pop culture and hedonism, which can fuel skepticism toward religious symbols. Social polarization further necessitates inclusive and non-dogmatic approaches. The study concludes that effective da‘wah strategies should strengthen digital competencies among da'i, develop structured content, and align messaging with Gen-Z’s digital culture while emphasizing Islam’s universal values. A strategic, contextual approach is essential for ensuring that Islamic da‘wah remains relevant, engaging, and impactful for Gen-Z.
INTEGRASI ARTIFICIAL INTELLIGENCE DALAM PENDIDIKAN ISLAM: TREN DAN ARAH PENELITIAN DALAM PERSPEKTIF BIBLIOMETRIK Azwar, Azwar; Usman, Abur Hamdi; Abdullah, Mohd Farid Ravi
Wawasan: Jurnal Kediklatan Balai Diklat Keagamaan Jakarta Vol. 6 No. 2 (2025): WAWASAN: Jurnal Kediklatan Balai Diklat
Publisher : Balai Diklat Keagamaan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53800/n3wtx409

Abstract

This study aims to provide a comprehensive understanding of the development and research direction regarding the integration of Artificial Intelligence (AI) in Islamic education. It focuses on analyzing and mapping publication trends, researcher collaboration, institutional contributions, and dominant and underexplored topics. Using a bibliometric approach, the study draws on data from the Scopus database for the period 2015 to 2025. The findings reveal a significant increase in publication volume in recent years, with Indonesia emerging as the leading contributor, alongside institutions such as Universiti Kebangsaan Malaysia, International Islamic University Malaysia, and UIN Sunan Gunung Djati. Key contributors and the most influential works were identified, with Taufik M.’s article recognized as the most cited. Keyword mapping shows that research in this field centers on themes such as learning, models, approaches, and educational processes, with emerging trends including machine learning and AI-based evaluation. Several low-density topics, such as Islamic perspectives and deep understanding, indicate promising areas for future research. This study offers a valuable contribution to understanding the evolving scholarly landscape at the intersection of intelligent technology and Islamic educational values.   Abstrak Penelitian ini bertujuan untuk memberikan pemahaman komprehensif mengenai perkembangan dan arah riset terkait integrasi Artificial Intelligence (AI) dalam pendidikan Islam, melalui analisis dan pemetaan tren publikasi, kolaborasi peneliti, kontribusi institusi, serta topik-topik yang dominan dan belum banyak dieksplorasi. Penelitian ini dilakukan dengan pendekatan bibliometrik berdasarkan data dari basis data Scopus, mencakup periode tahun 2015 hingga 2025. Hasil penelitian menunjukkan adanya peningkatan signifikan dalam jumlah publikasi selama beberapa tahun terakhir, dengan dominasi kontribusi dari Indonesia serta institusi seperti Universiti Kebangsaan Malaysia, International Islamic University Malaysia, dan UIN Sunan Gunung Djati. Penulis aktif dan karya paling berpengaruh juga diidentifikasi, dengan artikel Taufik M. sebagai publikasi paling banyak dikutip. Pemetaan kata kunci mengungkap bahwa fokus penelitian meliputi aspek-aspek seperti pembelajaran, model, pendekatan, dan proses pendidikan, serta tren baru seperti machine learning dan evaluasi berbasis AI. Beberapa topik dengan kepadatan rendah, seperti perspektif Islam dan pemahaman mendalam, menunjukkan potensi pengembangan riset di masa depan. Studi ini memberikan kontribusi penting dalam memahami dinamika keilmuan di persimpangan antara teknologi cerdas dan nilai-nilai pendidikan Islam.  
A Triple Helix Approach to Prioritizing Key Problems in Zakat Performance: An Analytic Network Process Study from South Sulawesi Azwar, Azwar; Usman, Abur Hamdi; Ravi Abdullah, Mohd Farid
Management of Zakat and Waqf Journal (MAZAWA) Vol. 8 No. 1 (2026): Management of Zakat and Waqf Journal (MAZAWA)
Publisher : Universitas Islam Negeri Sunan Ampel Sunan Ampel

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mzw.2026.8.1.50-82

Abstract

Zakat holds substantial potential as an Islamic social finance instrument for poverty alleviation and inclusive economic development; however, its performance in many regions remains   constrained not only by governance inefficiencies but also by limitations in how zakat management problems are identified and analyzed. Existing studies often rely on partial, single-actor, or linear approaches that fail to capture the complex interdependencies among stakeholders, resulting in less accurate prioritization of key issues. This limitation necessitates a more integrative and multi-actor analytical framework. Grounded in the Triple Helix framework, this study conceptualizes zakat governance as an interactive system involving experts (academia), regulators (government), and practitioners (zakat institutions). The study aims to identify and prioritize key problems affecting zakat performance in South Sulawesi by integrating these multi-actor perspectives within a structured decision-making model. This study employs the Analytic Network Process (ANP) to capture the interdependencies among problem clusters across institutional, community, and government dimensions. The results indicate that institutional problems constitute the most critical constraint to zakat performance, followed by government and community problems. Key institutional bottlenecks include weak governance, inadequate service quality, and low transparency and accountability. At the community level, low public zakat literacy emerges as the dominant barrier, while the absence of integrated data systems and weak local government support represent major governmental constraints. The findings imply that improving zakat performance requires coordinated and sequenced reforms encompassing regulatory coherence, institutional governance strengthening, and community engagement.