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This study is secondary data sourced from the publication of financial reports and annual reports on the website www.ojk.go.id. Hypothesis results Based on the phenomenon of ROA, NPL, LDR graphs showing fluctuating NPL and CAR results in the 2020-2024 period still show fluctuating results in the 2020-2024 period. The lack of openness, ineffective supervision carried out by the Institution on managers will result in financial manipulation by managers which will later affect the decline in the company's financial performance. Insufficient DKI supervision causes GCG not to run optimally. Weak DD performance is indicated by the absence of openness principles between DD and shareholders. The existence of fraudulent practices, one of which arises from the performance of the KA which is dishonest or not independent.

This study aims to analyze market sentiment towards Gold Financing Products (PKE) in Islamic banking before and after the Trump Effect phenomenon using the text mining method. This technique involves extracting information from unstructured text data to then be visualized and analyzed using the Natural Language Processing (NLP) approach and a RoBERTa-based classification model. Data was collected through web scraping from the X application with the help of API and processed using Google Colab. From a total of 4,074 tweets analyzed, it was found that the majority of public sentiment was neutral (59%), followed by negative (24%) and positive (17%). This reflects the public's tendency to discuss informatively rather than emotionally, although there was a spike in negative sentiment in certain periods indicating sensitivity to global dynamics, especially the impact of the Trump Effect on gold prices. The resulting wordcloud reveals key topics such as gold prices, buying and selling activities, and institutions such as Pegadaian Syariah and BSI. Terms such as "sharia", "riba", and "principles" emphasize the importance of Islamic financial values ​​in public perception. The results of this study indicate that text mining-based sentiment analysis is effective in capturing the dynamics of public opinion in real-time and can be a strategic tool for Islamic financial institutions in responding to market changes.

This study discusses how corporate governance (Good Corporate Governance/GCG) plays a role in reducing and controlling financial risk in an organization. Financial risk is an inseparable aspect of business activities, especially when companies face unstable and challenging market conditions. Therefore, a governance system is needed that can help companies recognize potential risks early on, as well as set appropriate handling strategies to minimize their impact on business continuity. The method used in this study is a literature study, namely by collecting secondary data from scientific journals and trusted articles that are relevant to the topic. The discussion includes theoretical foundations related to GCG principles, corporate governance structures, and financial risk mitigation steps. In addition, the role of the government in providing regulatory support is also discussed as part of the external factors that affect the effectiveness of corporate governance. From the results of the analysis, it is known that the application of GCG principles such as transparency, accountability, and responsibility has a major influence on the company's resilience in facing financial risks. A clear organizational structure and strong supervision allow companies to manage risks systematically. In other words, GCG makes a real contribution to strengthening a sustainable and adaptive risk management system to changes in the business environment.