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All Journal Journal of Research in Instructional QiST: Journal of Quran and Tafseer Studies
Wadi, Munshid Falih
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Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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A Bibliometric Analysis of Sustainable Development Goals (SDGs) Through the Lens of Maqasid Shariah Tafsir Elbanna, Mariam; Wadi, Munshid Falih; Radiamoda, Anwar M.; Matsuyama, Yohei; Ishak, Mohamad Haeqal Bin
QiST: Journal of Quran and Tafseer Studies Vol. 4 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/qist.v4i1.7360

Abstract

This study aims to conduct a bibliometric analysis of research intersecting the Sustainable Development Goals (SDGs) and Maqasid Shariah Tafsir, with a focus on using VOSviewer software to visualize research patterns and trends. The analysis spans the last decade, exploring publication trends over time, influential journals, prolific authors, and the most productive countries and institutions in this field. The results show a significant growth in research integrating Maqasid Shariah principles, focusing on the preservation of religion, life, intellect, lineage, and wealth, with the 17 SDGs, such as poverty eradication, quality education, and environmental sustainability. The analysis also highlights key research keywords and emerging themes, such as ethical governance, social justice, and economic sustainability. Using VOSviewer helps create visual maps of research networks, providing insights into relationships between authors, institutions, and keywords. The analysis reveals the prominent role of specific countries and institutions that support research in this area, emphasizing the importance of interdisciplinary collaboration in advancing this discourse. The study provides a foundation for understanding the relationship between Shariah principles and the SDGs, opening avenues for future research aimed at enhancing the use of Islamic values to address global sustainability challenges. The findings assist policymakers and researchers in identifying research gaps and collaboration opportunities for greater impact.
The effect of deep learning and problem based learning on active and independent learning with mediation variable Tamami, Fauziyah Qurrota A'yun; Shohib, Muhammad Wildan; Maksum, Muh. Nur Rochim; Rabbi, Md. Fajlay; Daud, Zainor; Fadli, Nazar; Wadi, Munshid Falih
Journal of Research in Instructional Vol. 5 No. 2 (2025): Journal of Research in Instructional
Publisher : Univeritas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jri.v5i2.718

Abstract

This study aims to analyze the influence of deep learning (DL) and problem based learning (PBL) on the active and independent learning of students with the mediation variable of self-regulated learning (SRL) at high school in Surakarta. The research method used was an explanatory quantitative approach with data collection through a closed questionnaire distributed to 157 students in grades X and XI. Data were analyzed using the structural equation modeling (SEM) approach SmartPLS 4.0 software. The analysis stage includes evaluating the measurement model (outer model) by testing convergent validity (AVE). Furthermore, the structural model (inner model) was analyzed by testing the path coefficient and significance using the bootstrapping method. Hypothesis testing was carried out with the ho rejection criterion if the p-value was < 0.05 and the t-statistic > 1.96. The results of the study show that deep learning and problem based learning have a significant effect on active and independent learning, both directly and through the mediation of self-regulated learning. All study variables met the criteria for validity and reliability, as indicated by AVE and Cronbach's alpha values above 0.5 and 0.7. The model fit index (SRMR = 0.089, and NFI = 0.931) confirms the fit of the proposed model. The results show that deep learning and problem based learning significantly affect active and independent learning through self-regulated learning strategies and are capable of enhancing students’ active involvement and independence in learning process.
Co-Authors Daud, Zainor Elbanna, Mariam Fadli, Nazar Ishak, Mohamad Haeqal Bin Matsuyama, Yohei Muh Nur Rochim Maksum Muhammad Wildan Shohib Rabbi, Md. Fajlay Radiamoda, Anwar M. Tamami, Fauziyah Qurrota A'yun