The rapid evolution of industrial robotics has been significantly influenced by the integration of computational data and social media, enabling robots to become more adaptive and responsive in collaborative work environments. This study investigates the role of social media and computational data in enhancing the adaptability of industrial robotics through machine learning techniques. By integrating sentiment analysis from social media with sensor data from industrial robots, this study examines how real-time data functions can improve robot decision-making and human-robot collaboration. Experimental results show a 23% increase in operational efficiency, an 89% accuracy rate in social interaction classification, and a 15% reduction in prediction errors. Furthermore, 62% of public sentiment toward adaptive robots is positive, highlighting the growing acceptance despite concerns over the impact of automation on jobs. These findings suggest that leveraging social media and computational data can significantly enhance the adaptability of robots, leading to a more efficient and socially conscious industrial ecosystem.

This study aims to examine the relationship between fear of missing out (FOMO), celebrity influence, and limited editions on the purchase intention of Labubu dolls. Data were collected from 107 respondents within the Labubu fan community on social media using a combination of purposive sampling and snowball sampling methods. Data collection was conducted through questionnaires, and the analysis was performed using SPSS software, including validity and reliability tests, classical assumption tests, and hypothesis testing. The results of the study indicate that FOMO, celebrity influence, and limited editions collectively have a significant relationship with Labubu purchase intention. These findings highlight the importance of leveraging marketing strategies based on FOMO and limited editions, as well as collaborations with celebrities, to enhance product appeal and drive sales. This research provides practical guidance for businesses in developing effective marketing strategies.

The rise of technology and social media has transformed product promotion and marketing in the digital era. Social media, word of mouth (WOM), and advertising effectiveness significantly influence consumer buying interest. This study examines their impact on buying interest in Teh Gelas products in Batam City using a quantitative descriptive approach. With a sample size of 100 respondents determined via the Lameshow formula, the study targeted Teh Gelas consumers who had tried the product at least once in 2023. Data was collected through an online questionnaire and analyzed using SPSS. Results indicate that social media, WOM, and advertising effectiveness each positively and significantly affect buying interest in Teh Gelas.

This study empirically investigates the relationship between profit growth and liquidity, solvency, activity, and profitability using business size as a moderating variable. Food and beverage companies listed on the Indonesia Stock Exchange between 2019 and 2023 are the study's subjects; 24 companies, or 120 samples, were chosen for the study using the purposive sampling method in accordance with predefined criteria; Moderated Regression Analysis (MRA) was used to analyze the data in order to determine the effect of moderation on the company size variable. The Indonesia Stock Exchange's official website, www.idx.co.id, provided the study's data. Profit growth is positively and significantly impacted by liquidity, solvency, activity, and profitability, according to the study, and the relationship between these elements and profit growth is moderated by the size of the business.

This study aims to fine out how Islamic Business Ethics is applied to buying and selling transaction in Prumdam market, Bengkulu City. The purpose of this study is to explore the understanding and application of Islamic Business Ethics among traders in Traditional markets. The main issue raised was the lack of understanding of traders regarding the principles of Islamic Business Ethics and the challenges they face. The study used a qualitative method with a descriptive approach, involving structured interviews with traders who had at least five years of experience in the Prumdam Morning Market. The results of the study show that some of the traders have understood the importance of honesty and Amanah in transactions, however there are some traders who are not effective in communicating the quality of the goods they sell, which reflects the lack of awareness of Islamic Business Ethics principles. Therefore, there is a need for better education and socialization to traders about Ethical values ??which are the foundation in doing business.

This research aims to analyze the implementation of Good Corporate Governance at Bank BNI KK Pandanaran Semarang. The population in this study was all staff of the Internal Supervisory Unit (SPI) of Bank BNI KK Pandanaran Semarang, totaling 32 people. Data were analyzed using the Dean J. Champion formula. The results of the research show that overall Good Corporate Governance at Bank BNI KK Pandanaran Semarang has been implemented well. The principles of Accountability and Fairness have been implemented very well. The principles of Transparency, Independence and Accountability have been implemented well.

The aim of this research is to prove and analyze the influence of leadership, motivation and work discipline on the performance of Rembang Regency Civil Service Police Unit Civil Servants. This research uses the dependent variable employee performance and uses the independent variables leadership, motivation and work discipline. The population used in the research carried out were all Civil Servants of the Rembang Regency Civil Service Police Unit, a total of 69 people. The sampling method in the research carried out was a saturated sample (census), the sample in the research carried out was the entire population or all Civil Servants of the Civil Service Police Unit, totaling 69 people. The analysis technique used is multiple linear regression analysis. The research results show that the leadership variable has a positive and insignificant effect on employee performance, the motivation variable has an insignificant negative effect on employee performance and the work discipline variable has a significant positive effect on employee performance. From the determination test, it is known that the R Square adjuster coefficient is 0.177, so it can be interpreted that the variables of leadership, motivation and work discipline can explain 17.7% of employee performance, while the remaining 82.3% of employee performance is influenced or explained outside of this research model.

This research investigates the influence of the debt-to-equity ratio, current ratio, return on assets, and net profit margin on stock prices. The study specifically focuses on pharmaceutical companies listed on the Indonesia Stock Exchange (IDX) between 2019 and 2023. By applying a purposive sampling technique, six pharmaceutical sub-sector companies that met the selection criteria were chosen, resulting in a total of 30 observational data points.Utilizing SPSS version 26, the study applies multiple linear regression analysis to evaluate the data. Initial stages of the multi-step analytical process involve descriptive analysis, classical assumption testing, and hypothesis testing using both t-tests and F-tests. The findings indicate that the debt-to-equity ratio, current ratio, and net profit margin significantly impact stock prices, whereas return on assets does not show a measurable effect. In addition to emphasizing the financial factors relevant to investment decision-making, the results provide valuable insights for stakeholders and investors in the pharmaceutical sector.

Digital transformation in the public sector through the implementation of e-government offers significant opportunities to enhance transparency and citizen engagement. This study analyzes the impact of digital transparency on public trust and citizen participation in Southeast Asia, focusing on Indonesia, Malaysia, and Thailand. A conceptual model was developed based on three main theories: Digital Transparency Theory, Institutional Trust Theory, and Digital Divide Theory. The research adopts a Design Science Research approach, utilizing both quantitative and qualitative methods. Data were collected through a survey of 600 respondents and in-depth interviews with 15 key stakeholders. The analysis was conducted using Structural Equation Modeling (SEM-PLS) with SmartPLS 4.0. The results indicate that digital transparency has a significant effect on public trust (? = 0.624), which in turn increases citizen participation (? = 0.538). Government reputation serves as a positive mediator (? = 0.293), while the digital divide acts as a negative moderator (? = -0.146), hindering the effectiveness of transparency in areas with limited digital access. These findings underscore the need for digital literacy strategies and the design of more inclusive e-government systems. The study provides both theoretical and practical contributions to understanding the dynamics of e-government in developing countries and promotes sustainable citizen engagement through equitable digital transparency approaches.

This research aims to analyze the influence of SIKD Sleman on SPJ-shopping processing at the Sleman Industry and Trade Department. The research method used is qualitative with primary and secondary data sources. Primary data was obtained directly through interviews, while secondary data was obtained by analyzing independently by reading the relevant laws and regulations. Based on the results of research in the form of interviews and literature studies, it can be concluded that the use of the Sleman SIKD has an influence on SPJ-shopping processing at the Regency Industry and Trade Department. The use of SIKD makes SPJ-shopping processing faster and easier so that annual budget absorption can be maximized.