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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 research aims to analyze the influence of competence, intrinsic motivation and emotional intelligence on the performance of Burger King Semarang employees. The method used was quantitative with a sample of 109 respondents using purposive sampling technique. Data analysis includes descriptive analysis of variables, classical assumption tests (normality, heteroscedasticity and multicollinearity), multiple linear regression analysis, as well as t tests, f tests and coefficient of determination tests. The research results show: (1) The t test shows that competence (tcount = 0.002 > ttable 0.05) and emotional intelligence (tcount = 0.000 < ttable 0.05) have a positive and significant effect on employee performance. (2) The F test shows the value of Fcount = 0.000 < Ftable = 0.05, indicating that simultaneously competence, intrinsic motivation and emotional intelligence have a significant effect on employee performance. (3) The coefficient of determination (R² = 0.979) shows that 97.9% of the variation in employee performance can be explained by the variables of competence, intrinsic motivation and emotional intelligence, while the remaining 2.1% is influenced by other variables such as work experience, incentives and promotions. position.      

This research aims to determine emotional intelligence and organizational culture to improve the internal service performance of Sidoarjo Health Center employees.  There is a population needed in this research, namely 50 employees.  In this study, researchers used all community health center employees, both paramedics and non-medical employees, with respondent characteristics based on age, gender, educational background, and length of work.  Sampling In this research he author used a saturated sample where all members of the population were used as research samples.So this research uses a questionnaire filled out by respondents and used as data for this research.  The analysis technique used is simple linear regression analysis.  Hypothesis testing uses (a T-test), while the data analysis methods used include a validity Test and Reliability Test.  The results of this research show that Emotional Intelligence and Organizational Culture influence Internal Service Performance. The result obtained t-count of 11.438 is greater than the t-table 2.01063 with a significant value of 0.000 > 0.50, which shows that the results are statistically significant. Furthermore, the emotional intelligence variable has a significant impact on internal service performance, with a t-count of 12.039, greater than the t-table 2.01063 with a significant value of 0.000 > 0.50.