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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 study examines and analyzes the effect of Shopping Lifestyle, Fashion Involvement, and Discount Prices simultaneously and partially on Impulse Buying in the Zalora Marketplace. And knowing which variables are most dominant in influencing impulse buying. The research approach used in this research is quantitative research. The criteria for selecting the sample in this study were those aged 17 and over who had used and made purchases through the Zalora Marketplace, and had routinely purchased products for the last 6 months through the Zalora Marketplace and were located in the Jabodetabek area. Questionnaires collected as many as 150 respondents, the data is then processed using multiple linear regression method. Based on the results of the analysis, it is known that the variables Shopping Lifestyle, Fashion Involvement and Discount Price simultaneously have a positive effect on Impulse Buying on the Zalora Marketplace. Partially, the Shopping Lifestyle and Fashion Involvement variables have a positive effect on Impulse Buying. But the Discount Price variable has no effect on impulse buying. Furthermore, the results show that the Shopping Lifestyle variable is the most dominant variable affecting Impulse Buying.

Cocoa is a plantation crop that has a high contribution to the Indonesian economy through export activities. The large number of people interested in processed cocoa products means that demand for cocoa is increasing every year. The aim of the research carried out was to measure and see the level of comparative competitiveness of Indonesian cocoa in the main importing country, namely Malaysia. This research was conducted from March 2024 to April 2024. This research uses secondary data in the form of panel data for the period 2013-2022. The method used is Revealed Comparative Advantage (RCA) to measure and determine the level of competitiveness of Indonesian cocoa's comparative advantage. The research results show that Indonesian cocoa in the Malaysian market has strong competitiveness with an average RCA value of 2.61197. This also shows that Indonesian cocoa can compete in the global market by continuing to develop both technology and information.

This research aims to analyze and prove the influence of brand image, price and promotion on buying interest in Wardah cosmetic products (study on chacha cosmetics Tlogosari Semarang). This type of research is quantitative, the population of this research is consumers of the Chacha Cosmetics Tlogosari Semarang shop with a total of 96 respondents. This research uses a non-probability sampling technique, namely purposive sampling. Measurements in this study used a Likert scale which was then processed using the IBM SPSS Statistics version 23 for Windows analysis tool. The results of this research show that there is an influence between brand image, price and promotion on purchasing interest.