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Journal : Islamic Social Finance

A Review on Islamic Social Finance: VosViewer Application Aam; Aisyah As-Salafiyah
Islamic Social Finance Vol. 1 No. 1 (2021): Islamic Social Finance
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.999 KB) | DOI: 10.58968/isf.v1i1.66

Abstract

Islamic social finance is one of the Islamic economic instruments considered the right solution to simultaneously achieve social and financial goals. Over time, Islamic social finance has a social role and can be developed in empowering commercial businesses, and its management institutions also become financially efficient and professional industries. This study aims to determine Islamic social finance research trends published by leading journals on Islamic financial economics. The data analyzed consisted of 391 indexed research publications. The data is then processed and analyzed using the VoS viewer application to discover the bibliometric map of Islamic social finance research development. This study found that Islamic social finance has an essential role in contributing significantly to society's economic and social sectors.
Sentiment Analysis on Islamic Insurance in Indonesia Aam
Islamic Social Finance Vol. 2 No. 1 (2022): Islamic Social Finance
Publisher : SMART Insight

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.632 KB) | DOI: 10.58968/isf.v2i1.117

Abstract

This research was conducted to review Islamic insurance within the scope of sharia economics both in terms of scientific research in the form of published journals and the sentiments of the Indonesian people in response to the development of Islamic insurance. The method used is descriptive bibliometric statistical analysis and sentiment analysis from secondary data in the form of more than 50 published papers in the past 5 years and primary data in the form of more than 100 questionnaire respondents from Jabodetabek area which are then processed using VOSViewer and SentiStrength. The results showed that the bibliometric mapping was divided into 5 clusters; cluster 1 consists of 6 topics, cluster 2 consists of 6 topics, cluster 3 consists of 5 topics, cluster 4 consists of 4 topics and cluster 5 consists of 3 topics. The results of the sentiment analysis show good sentiment (positive) by 24%, bad sentiment (negative) by 14% and the rest have neutral sentiment (neutral) 62%. This study is the first comprehensive study to discuss the sentiment analysis of the Islamic insurance theme with primary and secondary data.