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This study aims to analyze the partial and simultaneous effects of Investment Decisions, Financing Decisions, and Company Size on Company Value at PT Ciputra Development Tbk for the period 2014-2024. Company value is proxied by Price to Book Value (PBV), investment decisions by Price Earning Ratio (PER), financing decisions by Debt to Equity Ratio (DER), and company size by SIZE. The method used in this study is descriptive quantitative. The population of this study is the financial statements of PT Ciputra Development Tbk for the period 2014-2024, and the sample used is the financial position report, income statement, and share price of PT Ciputra Development Tbk for the period 2014-2024. The analysis methods used are descriptive analysis, classical assumption testing, multiple linear analysis, t-test, f-test, and coefficient of determination test using SPSS version 26. The results of the study show that partially, PER and DER do not have a significant effect on PBV, while SIZE has a negative and significant effect on PBV. Simultaneously, PER, DER, and SIZE significantly affect PBV with a coefficient of determination of 94.7%, indicating that the regression model has excellent predictive power. The remaining 5.3% is influenced by other variables outside the scope of this study.

This study aims to examine the influence of firm size, profitability, and liquidity on the capital structure of PT Krakatau Steel Tbk during the 2017–2024 period. The independent variables in this study consist of firm size, measured by the natural logarithm of total assets (Ln Total Assets), profitability measured by Return on Equity (ROE), and liquidity measured by the Current Ratio (CR). The dependent variable is capital structure, proxied by the Debt to Equity Ratio (DER). A quantitative approach was employed, utilizing multiple linear regression analysis to test the hypotheses. The data used were secondary in nature, comprising quarterly financial statements of PT Krakatau Steel Tbk obtained from the Indonesia Stock Exchange (IDX) and other official sources. The empirical findings reveal that, partially, firm size has a negative and statistically significant effect on capital structure. This suggests that larger firms tend to rely less on debt financing. Profitability exerts a positive and significant influence on capital structure, indicating that more profitable companies are more likely to use debt to finance their operations. Conversely, liquidity exhibits a negative yet statistically insignificant impact on capital structure, implying that liquidity does not have a substantial effect on the company's capital structure decisions. Simultaneously, the three independent variables collectively have a significant effect on capital structure. The model’s coefficient of determination (R²) indicates that 26.7% of the variation in capital structure can be explained by the independent variables, while the remaining 73.3% is attributable to other factors not included in this study. These findings contribute to the understanding of financial decision-making within capital-intensive industries.

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 aims to analyze the influence of working capital management, leverage, and institutional ownership on the profitability of consumer goods companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period, while also examining company size as a moderating variable. The consumer goods sector, which has a large market potential in Indonesia, makes it essential to understand how these financial aspects affect company performance. Working capital management plays a crucial role in maintaining liquidity and operational efficiency, leverage determines the extent to which companies rely on debt financing, and institutional ownership reflects external monitoring that can drive managerial discipline. Company size is considered a moderating factor that could strengthen or weaken these relationships, especially in influencing profitability levels. Using a quantitative approach, the research findings reveal that each of the main variables—working capital management, leverage, and institutional ownership—partially and significantly affects profitability. More specifically, company size is found to moderate the effect of leverage on profitability, indicating that larger firms may be better positioned to optimize debt usage compared to smaller firms. This study not only provides empirical evidence regarding financial determinants of profitability but also enriches the discussion on how moderating factors such as firm size can influence the dynamics of corporate financial performance. The findings are expected to provide valuable insights for stakeholders, including managers seeking to optimize financial policies, investors evaluating company performance, and academics or researchers interested in exploring further implications for corporate governance and financial strategy in emerging markets like Indonesia. In conclusion, the study highlights the importance of managing financial variables strategically to sustain profitability in the highly competitive consumer goods industry.

This thesis is a study that examines the influence of People's Business Credit (KUR) on the development of Jelutung micro, small and medium enterprises (MSMEs) at Bank BSI Kc Gatot Subroto, Jambi City. The purpose of this thesis is to be able to find out the effect of people's business credit (KUR) on the development of MSME businesses and to be able to find out the amount of contributions made by KUR to the business development of customers of Bank Syariah Indonesia Kc Gatot Subroto Jambi City.In this study using quantitative methods with data collection techniques namely observation, questionnaires and documentation. Which is the questionnaire itself as an instrument in collecting data. Then a validity test and reliability test were carried out to ensure the accuracy of each question item in the questionnaire to be used in collecting data. After that, a classic assumption test was carried out to ensure the soundness of the data and a hypothesis test in the form of a (t) test, simple linear regression test and test for the coefficient of determination (R2).The results of this study are as follows: (1) People's Business Credit (KUR) has a significant and positive effect on customer business development as evidenced by the significance of KUR of 1.68107 > 0.05 and also the value of the simple regression results which obtains a value of 0.554 which indicates a positive number so that the influence that KUR has is good or positive on the development of the customer's business. (2) The contribution made by KUR to the development of the customer's business is 0.47.8 or 47.8% and the remaining is 0.552. Or 52.2% is influenced by variables or other factors not mentioned in this study.