Article Per Year (5 Year)
p-Index From 2019 - 2024
0.983
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This Author published in this journals
All Journal Islamic Social Finance Tamkin Journal Islamic Economics Methodology Fara'id and Wealth Management
Irni Nuraini
Tazkia Islamic University College
Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences Other

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Journal : Fara'id and Wealth Management

 1 
The Evaluation of Zakat Index Literatures Irni Nuraini
Fara'id and Wealth Management Vol. 1 No. 1 (2021): Fara'id and Wealth Management
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/fwm.v1i1.157

Abstract

Various measurements of the performance of zakat institutions, or the zakat index, have existed in multiple countries, with each indicator or variable used. This study aims to analyze the literature on the zakat index by covering research trends and future research directions. A total of 52 articles from Scopus with publications ranging from 1994-2022 were analyzed using the VOSViewer software. The quantitative approach is used in the bibliometric analysis, and the qualitative approach is used in the literature study. The findings in this study include research clusters divided into five groups: Zakat Performance, Zakat and Poverty Alleviation, Zakat and Human Development, Zakat Efficiency and Zakat in OIC or muslim countries.
Sentiment Analysis of Literature on Sharia Credit Card Irni Nuraini
Fara'id and Wealth Management Vol. 2 No. 1 (2022): Fara'id and Wealth Management
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/fwm.v2i1.164

Abstract

This study was carried out to examine the Islamic credit card within the context of Islamic economics in terms of scientific research produced in response to the introduction of Islamic credit cards. Descriptive bibliometric statistical analysis and sentiment analysis are applied to secondary data in the form of 134 papers published over the last nine years and then processed with VOSViewer and SentiStrength. The results demonstrated that bibliometric mapping is divided into two clusters, with cluster 1 containing 33 keywords and cluster 2 containing 26. The results of sentiment analysis of the literature indicate 34% positive sentiment, 25% negative sentiment, 41% neutral sentiment, and 0% high negative and high positive sentiment.
Co-Authors Thuba Jazil