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Digital Zakat: An Analysis of Twitter Sentiment Annisa Kartika Ocktavia; Assyifa Nur Aziza; Ihsanul Ikhwan
Islamic Marketing Review Vol. 2 No. 1 (2023): Islamic Marketing Review
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/imr.v2i1.239

Abstract

This research was conducted to examine the perception of digital zakat in the scope of Islamic economics from the point of view of sentiment research on Twitter social media users in responding to the development of digital zakat. The method used in this research is a qualitative approach with descriptive statistics from literature studies in the form of 1237 Twitter tweets. Python library software called VADER (Valence Aware Dictionary and Sentiment Reasoner) is used to classify tweets. The sentiment analysis results tended to perceive positive sentiment at 51.7%, neutral sentiment at 28.6% and negative sentiment at 19.7%. The variety of sentiment analysis results reflects the diversity of opinions regarding the progress of digital zakat. The benefit of this study is to contribute literature and considerations in relation to the development of digital zakat as well as identifying shortcomings and threats, such as negative perceptions towards the use of digital zakat. In addition, the objectives of this study also include understanding the positive views, advantages, potentials, and benefits of digital zakat. This research is the first comprehensive research that discusses sentiment analysis on the theme of digital zakat with Twitter tweet data. Suggestions for further research and recommendations are included.
Macroeconomic Variables, Global Stock, and Financial Sector Stock Indices in Indonesia Aam Slamet Rusydiana; Dito Prakoso; Ihsanul Ikhwan
Management and Sustainability Vol. 1 No. 1 (2022): Management & Sustainability
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58968/ms.v1i1.282

Abstract

This study aims to analyze the impact of macroeconomic variables and global stock indices on the financial sector stock index in Indonesia. The data used is secondary data in the form of monthly time series from January 2010 to December 2019, which comes from Bank Indonesia, the Central Bureau of Statistics (BPS), and Yahoo Finance. The variables of this study include the Jakarta Islamic Index (Indonesia), IDX Sectoral Index (Indonesia), Money Supply Inflation, Rupiah against USD Exchange Rate, Crude Palm Oil Price, Industrial Production Index, KL Financial Sectoral Index (Malaysia), SET Financial Sectoral Index (Thailand) and S&P 500 Stock Index (USA). The analysis method used is Autoregressive Distributed Lag (ARDL). The results concluded that the short-term estimation resulted in the exchange rate variable, the Industrial Production Index (IPI), and the Thailand SET financial sector stock index having a significant effect on the JII index, while the money supply variable, the Malaysia KL financial sector stock index, the Thailand SET financial sector stock index, and the US S&P 500 stock index had a significant effect on the IDX financial sector index. Then, the long-term estimation found that the Thailand SET financial sector stock index variable has a significant effect on the JII. Then, in the IDX financial sector index model, there are two significant variables, namely money supply and Industrial Production Index.