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ANALISIS ZAKAT CORE PRINCIPLES (ZCP) PADA BADAN AMIL ZAKAT NASIONAL DI EKS KARESIDENAN BANYUMAS Azka Nur Diana
Jurnal Ekonomi Bisnis dan Akuntansi (JEBA) Vol 25, No 1 (2023)
Publisher : Ilmu Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Unsoed

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.089 KB) | DOI: 10.32424/jeba.v25i1.3524

Abstract

Peran Teknologi Blockchain dalam Meningkatkan Transparansi dan Akuntabilitas Pengelolaan Zakat Fajri Mulia Ningsih; Safrina Muarrifah; Rini Meliana; Amanah Aida Qur’an; Azka Nur Diana
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 4 No. 2 (2024): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v4i2.542

Abstract

Zakat management is an important aspect in ensuring the effective and fair distribution of zakat funds. However, issues of transparency and accountability are often a concern in zakat management, which can reduce public trust in zakat management institutions. Blockchain technology has emerged as a promosing alternative that can bring about major change in the endeavpr to promote openness and accountability. This article discusses the role of blockchain technology in increasing public trust in zakat management by creating a decentralized, transparent and trustworthy system. Results of this research Emphasis on the absence of challenges and strategic recommendations in managing zakat with blockchain. In this case, the role of amil zakat and muzakki is key in implementation zakat uses blockchain technology in managing quality, efficient, zakat accountable and professional in distributing zakat to 8 asnaf
The UTAUT Model on Decision to Use Amaan Islamic Fintech Financing: Prior Experience as Moderating Dini Ayu Puspita Sari; Meliana, Rini; Amanah Aida Qur'an; Azka Nur Diana
Wealth: Journal of Islamic Banking and Finance Vol. 4 No. 1 (2025): Wealth: Journal of Islamic Banking and Finance
Publisher : Faculty of Islamic Economics and Business, UIN Prof. K. H. Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/wealth.v4i1.13638

Abstract

Entering the digital era, industry players are increasingly aggressively developing digital technology. One of the technological developments that has become the subject of recent studies in Indonesia is financial technology (fintech). There are women micro- entrepreneurs who need support in development, especially capital support to improve their businesses. PT Amaan Indonesia Sejahtera (Amaan) is an integrated solution that can be accessed by women micro-entrepreneurs in the form of financial or business capital financing. Because Amaan is one of the digital-based microfinance services with an easier mechanism and has a clear commitment to empowering women in the business sector. The study aims to test the UTAUT model with moderated prior experience. This research uses a quantitative approach. The data used is a questionnaire distributed to 250 respondents via google form. The data analysis method uses descriptive statistical analysis, multiple regression analysis and moderated regression analysis (MRA) using the SmartPLS (v3.0) analysis tool. The results show that performance expectancy, effort expectancy, social influence and facilitating conditions have a significant effect on the decision to use Amaan Islamic fintech financing. Prior experience as a moderating variable weakens the effect of performance expectancy and effort expectancy. Meanwhile, prior experience strengthens the influence of social influence and facilitating conditions on the decision to use Amaan Islamic fintech financing. RSquare shows that the user decision variable has a value of 0.539. This means that the ability of variable X to explain Y is 53.9% (medium), so it is said that the ability of the user decision variable to be influenced by the variables of performance expectancy, effort expectancy, social influence, facilitating conditions and prior experience is quite strong. While the remaining 46.1% is influenced by other variables outside the study.