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Journal : Maliki Islamic Economics Journal

Uncovering the Perception of Digital Gold as Islamic Investment Wicaksono, Ahmad Tibrizi Soni; Soetjipto, Budi Eko
Maliki Islamic Economics Journal Vol 5, No 1 (2025): Maliki Islamic Economics Journal
Publisher : Faculty of Economics UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/miec.v5i1.33080

Abstract

This study aims to identify sentiments related to digital gold as Islamic investment in social media users. The study used Word cloud analysis, Sankey diagrams and sentiment dominance portion assessment through a natural language processing (NLP) approach. The study processed 1433 user responses from Facebook, Instagram, TikTok, X, and YouTube over the past year. The results show that there is scepticism in understanding Islamic investment through digital gold. Instagram, YouTube, and Tiktok are social media that dominate negative sentiment. Sentiment analysis shows that negative sentiment dominates the perception of social media users with a portion of 64.69%. The implications of the study direct the importance of public education to avoid a decline in investment interest. The limitations of the study include the range of opinions in one country using only five social media.
The Role of Early Warning System Components in Financial Distress: Evidence from Indonesian Islamic Banks Salsabila, Rizqiyah; Wicaksono, Ahmad Tibrizi Soni; Shamakov, Nariman
Maliki Islamic Economics Journal Vol 2, No 2 (2022): Maliki Islamic Economics Journal
Publisher : Faculty of Economics UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/miec.v2i2.18977

Abstract

This study aims to utilize the Early Warning System (EWS) component to predict the condition of Islamic banks before bankruptcy. This study uses the springate score model to measure the Financial Distress (FD) condition of Islamic banks. Samples were taken from 13 Islamic Commercial Banks for the period 2016 - 2020. The EWS components are Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), Financing Deposit to Ratio (FDR) and Allowance for Impairment Losses (CKPN). Based on the springate score calculation, the highest FD conditions occurred in 2019 and 2020 due to the COVID-19 pandemic. The logistic regression test results show that only the NPF ratio has a positive effect on FD. While the CAR, FDR and CKPN variables have no effect on FD. This proves that the CAR, FDR and CKPN ratios owned by Islamic banks are said to be good so as to keep away from FD conditions.