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Abdullah A Afifi
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Jl. Prof Dr HAMKA, Payakumbuh Utara, Kota Payakumbuh, Sumatera Barat, Indonesia
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Journal of Regional Development and Technology Initiatives
Published by IDRIS Darulfunun Institute
ISSN : -     EISSN : 30465745     DOI : https://doi.org/10.58764/jrdti
Core Subject : Economy, Science, Education, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other
A multidisciplinary journal that encompasses topics of regional development, business management, technology and initiatives. The ultimate objective of this journal is to disseminate knowledge for improving regional business development and technology practices. This journal also aims to strengthen the theoretical base for supporting policy and initiatives. Articles accepted need to be based on rigorous sound theory and contain an essential novel scientific contribution. Relevant subjects; community-based studies that expose development practices and interactions, sustainability on rural green agriculture and development of environment and energy friendly, local technology innovations, regional industries and economics, policy initiatives and collaborative engagement.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 2 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2025)" : 2 Documents clear
Waste Management in the Circular Economy Framework: A Study on Biomass and Compost Potential Production in Payakumbuh City Afifi, Abdullah A; Arifin, Nor Anisa; Taslapratama, Irwan
Journal of Regional Development and Technology Initiatives Vol. 3 No. 1 (2025)
Publisher : IDRIS Darulfunun Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58764/j.jrdti.2025.3.93

Abstract

This study explores the potential of integrating waste management strategies with circular economy principles to enhance biomass and compost production in the greater Payakumbuh area. As regional urbanization and domestic waste levels continue to rise, there is an urgent need to shift from linear waste disposal systems toward resource-oriented waste valorization. This paper proposes a circular model that repositions organic household waste as a green input for local biomass energy and organic fertilizer production, thereby contributing to environmental sustainability, regional agricultural resilience, and green economic development. Drawing on interdisciplinary frameworks from circular economy theory, waste-to-resource models, and regional development planning, the study analyzes the feasibility of composting and anaerobic digestion as localized waste treatment technologies. It also examines governance challenges, infrastructure readiness, and community engagement in the region. The case of Payakumbuh, where agricultural productivity and urban waste generation are closely intertwined, illustrates both the opportunities and constraints of implementing circular economy strategies in smaller Indonesian urban centers. By conceptualizing a closed-loop system tailored to the socio-economic characteristics of Payakumbuh, this research provides a foundation for future empirical studies and policy interventions aimed at sustainable resource management and low-carbon regional transformation.
AI Integration in Nigeria’s Financial Sector: Challenges and Opportunities for Professional Development Muhammad, Adamu Abubakar; Ardo, Adam Muhammad; Aliyu, Shafa'at Ahmad; Muhammad, Ibrahim Abubakar; Jika, Fadimatu Ahmed
Journal of Regional Development and Technology Initiatives Vol. 3 No. 1 (2025)
Publisher : IDRIS Darulfunun Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58764/j.jrdti.2025.3.103

Abstract

Artificial Intelligence (AI) is transforming banking, accounting, auditing, risk management, and customer service operations. In Nigeria, the integration of AI into the financial sector presents both unprecedented opportunities and significant challenges. This study examines the implications of AI adoption for professional development among Nigerian finance practitioners. Based on the frameworks of technological diffusion and human capital development, the research investigates how AI-driven tools like machine learning, natural language processing, robotic process automation, and predictive analytics are influencing financial practices and the skills required of professionals. The study uses a mixed-methods approach, combining survey data from finance professionals in selected Nigerian banks and fintech firms with qualitative interviews with regulators, educators, and technology experts. In addition to highlighting important opportunities like increased productivity, fraud detection, financial inclusion, and better decision-making, the findings are anticipated to point out significant obstacles like job displacement, ethical dilemmas, regulatory gaps, and a lack of professional AI literacy. In order to create a workforce prepared for AI, the study emphasizes the necessity of ongoing professional development, curriculum change in finance and accounting education, and cooperative efforts between the government, business community, and professional associations. The study conclude that effective AI integration in Nigeria's financial sector depends not only on the availability of technology but also on giving finance professionals the knowledge, moral compass, and flexible abilities they need to prosper in the age of digital transformation.

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