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Analysis of the role of village-owned enterprises (BUMDes) in improving the economy of the community in sharia-based Patokan village Suryana, Ahmad; Thompson, Emily; Marliana, Marliana
AL-MUQARANAH Vol 2 No 2 (2024): Vol 2 No 2 Agustus 2024
Publisher : Prodi Perbandingan Madzab Fakultas Syari'ah Universitas Islam Zainul Hasan Genggong Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55210/jpmh.v2i2.444

Abstract

This research aims to analyze the role of Village-Owned Enterprises (BUMDes) in improving the economy of the Patokan Village community with a sharia-based approach. BUMDes is an economic institution established in villages to manage local potential and improve community welfare. In the context of Patokan Village, the application of sharia principles in BUMDes management is important given that the majority of the population is Muslim. This research uses a descriptive qualitative method, with data collection techniques in the form of in-depth interviews, observation, and documentation. The results showed that the BUMDes of Patokan Village has contributed positively to the village economy, especially through the savings and loan, livestock, and agriculture business units. However, there are still some obstacles, such as a lack of capital, skills, and community participation. The application of sharia in BUMDes management also provides additional benefits, such as increased community trust and avoidance of usury. This research is expected to provide theoretical and practical contributions in the development of a sharia-based BUMDes management model, which is more effective in supporting the welfare of village communities.
Predictive Analytics to Enhance Learning Outcomes: Cases from UK Schools Green, David; Thompson, Emily; Ochieng, Isaac
Journal Emerging Technologies in Education Vol. 3 No. 1 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v3i1.2127

Abstract

Background. The increasing integration of data-driven technologies in education has positioned predictive analytics as a promising tool for enhancing student learning outcomes. In the UK, schools are beginning to leverage predictive models to identify at-risk learners, personalize instruction, and inform pedagogical decisions. Purpose. This study investigates the practical application and impact of predictive analytics in secondary education settings across selected schools in England and Scotland. The primary objective is to assess how predictive tools are used to improve academic performance, engagement, and targeted interventions.Method. A qualitative case study approach was employed, involving interviews with school leaders, data analysts, and teachers in six institutions, alongside document analysis and system usage observations.Results. The findings reveal that predictive analytics, when implemented with pedagogical alignment and ethical oversight, significantly supports early identification of student needs and enables timely academic interventions. However, challenges persist in terms of data literacy among staff, algorithmic transparency, and balancing predictive insights with professional judgment. Conclusion. The study concludes that predictive analytics can enhance learning outcomes when embedded within a holistic educational framework that prioritizes equity, accountability, and human-centered decision-making.