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All Journal Ekonomi Islam Indonesia
Aisyah As-Salafiyah
Tazkia Islamic University College
Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Sentiment Analysis of Digital Sharia Banking Abdullah Haidar; Aisyah As-Salafiyah; Evania Herindar
Ekonomi Islam Indonesia Vol. 4 No. 1 (2022): Ekonomi Islam Indonesia
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.126 KB) | DOI: 10.58968/eii.v4i1.72

Abstract

This study was conducted to review perceptions about digital Islamic banking within the scope of Islamic economics from a scientific perspective in published journals discussing the development of digital Islamic banking. The method used is descriptive statistical analysis with meta and sentiment analysis from secondary data in the form of 70 published papers in the last seven years which are then processed using Ms. Excel 2019 and SentiStrength. The results show that research on digital Islamic banking in the scientific literature has increased in quantity every year. The sentiment analysis results show that the differences of opinion among experts regarding digital Islamic banking tend to be varied, with the positive sentiment of 36%, then negative sentiment of 18%, and negative sentiment of 46%. This study is the first to discuss sentiment analysis on the theme of digital Islamic banking with secondary data with a publication span of the last seven years.
Shariah Fintech: An Analysis of Twitter Sentiment Aam Slamet Rusydiana; Aisyah As-Salafiyah
Ekonomi Islam Indonesia Vol. 4 No. 2 (2022): Ekonomi Islam Indonesia
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/eii.v4i2.98

Abstract

This research was conducted to review the perception of sharia fintech within the scope of the sharia economy from the perspective of sentiment research on Twitter social media users in response to the development of sharia fintech. The method used in this study is a qualitative approach with descriptive statistics from the literature study in the form of 2131 Twitter tweets. A Python library software called VADER (Valence Aware Dictionary and Sentiment Reasoner) is used to classify tweets. Sentiment analysis results tend to perceive neutral sentiment at 80.8%, positive sentiment at 16.2%, and negative sentiment at 3.0%. The diversity of sentiment results shows that there are pros and cons to the development of sharia fintech. The benefits of this research are literature and considerations related to the development of sharia fintech and efforts to identify weaknesses and threats in the form of negative perceptions of the implementation of sharia fintech. In addition, to find out positive perceptions, strengths, potential, and benefits of Islamic fintech. This research is the first comprehensive study to discuss sentiment analysis on sharia fintech themes with Twitter tweet data. Suggestions for further research and recommendations are listed.
Co-Authors Aam Slamet Rusydiana Abdullah Haidar Evania Herindar