The transformation of the workplace in the digital era has pushed organizations to adopt more adaptive and inclusive leadership styles, particularly in managing and retaining talent. Inclusive leadership is believed to foster a psychologically safe work environment, build trust, and enhance employee engagement—key factors influencing talent retention decisions. This study aims to examine the impact of inclusive leadership on talent retention, by exploring the mediating roles of psychological safety, trust, and employee engagement. A quantitative approach was employed through an online survey involving 150 respondents from the professional and technology sectors. Data analysis was conducted using multiple linear regression and Structural Equation Modeling (SEM) with the support of SPSS and SmartPLS. The findings reveal that inclusive leadership significantly influences talent retention, both directly and indirectly through the three mediating variables. These results highlight the importance of leadership styles that are attuned to employees’ psychological needs. Theoretically, this study contributes to the growing body of literature on leadership and employee retention. Practically, it offers strategic recommendations for organizations to develop sustainable human resource management policies focused on employee well-being—particularly in the context of an increasingly digital and flexible work environment.

The COVID-19 pandemic affected hospitals by reducing inpatient and outpatient volumes while increasing operational costs. This study analyzes financial distress differences in six private hospitals listed on the Indonesia Stock Exchange using the Altman Z”-Score and Springate models. A quantitative comparative method with purposive sampling was applied, using secondary data from 2018–2022, analyzed with the Paired Sample T-Test. Results show no significant differences in financial distress before and after COVID-19 (Altman Sig. 0.415; Springate Sig. 0.128). All hospitals remained in the safe zone, indicating financial stability throughout the pandemic.

This study's goal is to ascertain the connection between liquidity ratio (CR), asset management (TATO), capital structure (DAR) and firm size on financial performance, The  property & real estate firms that were listed between 2019 and 2023 on the Indonesia Stock Exchange (IDX). The study's sample, which was 52 companies in a period of (5) periods with a total of 260 data. The multiple regression analysis is used in this study method with the type of panel data with the Random Effect Model (REM) method. According to the study's findings that asset management has a favorably and significantly effect on financial performance, capital structure has a negatively and significantly effect on financial performance, but liquidity ratio and firm size have no effect on financial performance.

The reason for this study was to determine the impact of brand image, product quality, and promotion on purchasing decisions of Pizza Hut consumers. The population is Pizza Hut customers, with a sample of 150 respondents taken using non-probability sampling techniques with purposive sampling method. PLS was used as an analytical tool in this study. This study shows that brand image has a positive, but insignificant, impact on purchasing decisions of Pizza Hut consumers. On the other hand, product quality has a positive and significant impact on purchasing decisions of Pizza Hut consumers. In addition, promotion also has a positive and significant impact on purchasing decisions of Pizza Hut consumers.

The research focuses on evaluating the impact of capital structure, liquidity, and profitability on the value of companies engaged in the real estate sector and has been on the Indonesia Stock Exchange (IDX) list for the period 2018-2023. The more rapid and intense the competition faced by various companies in this field, the more this study seeks to determine the magnitude of the significant influence of all independent variables on the valuation of a company, as well as the role of company size, which is determined to be a moderating factor. Quantitative methods based on secondary data are the basis for conducting research, with the company's public financial statements as secondary data. Purposive sampling plays an important role as a form of sampling whose data is analyzed through multiple regression and moderation analysis. The findings of this study show that with positive significance, liquidity and profitability affect firm value, but capital structure does not exert its influence. In addition, firm size is found to moderate the interaction of liquidity with firm value but has no moderating effect on the relationship of capital structure and profitability on firm value.. 

Pegadaian is one of the Islamic financial institutions in Indonesia that continues to expand its market share through various marketing strategies. This study aims to analyze the market penetration strategies implemented by Pegadaian and identify the efforts that can be made to increase customer interest. The research method used is descriptive qualitative with a literature study approach from various accredited national journals in the last five years, as well as document analysis related to Pegadaian marketing strategies. The results of this study reveal that Pegadaian market penetration strategy is carried out through the optimization of digital promotion, the development of innovative products and services, and the improvement of financial literacy in society. Digital promotion strategies are carried out by utilizing social media and other online platforms to increase product awareness and education to the general public. In addition, product development such as Arrum Haji and Tabungan Emas has become an effective innovation in meeting market needs. Pegadaian is also actively conducting financial education through seminars, workshops, and outreach programs as a form of improving financial literacy and customer loyalty. These three strategies have consistently proven to attract new customers, increase loyalty, and strengthen Pegadaian position amidst the competition in Islamic financial institutions. This research contributes to enriching the study of marketing strategies for Islamic financial institutions, particularly in the pawnshop sector. The novelty of this research lies in the systematic and detailed mapping of Pegadaian market penetration strategies based on the latest literature.

This research is motivated by the learning media in the Chuji Hanyu Xiezuo Shang class which not yet using learning media in the form of games, this makes an opportunity to develop new innovations to support teaching and learning activities in the form of Word Candy game to improve mastery of chinese vocabulary. The objectives of this research are: 1) Describes the needs of students for Word Candy media in improving vocabulary mastery, 2) Describes the results of the prototype development of Word Candy media in mastering Chinese, 3) Describes the results of expert validation of Word Candy media in mastering vocabulary in learning Chinese. This study uses the Research and Development (R&D) method with five stages, namely: 1) potential and problems, 2) data collection, 3) product design, 4) design validation, and 5) design revision. Based on the needs analysis, it shows that Word Candy media is approved as a learning medium by both lecturers and students. Proven by the results of validation from media experts getting an average value of 88.4 with a score of 4 which is said that this media is very feasible to use, while validation from material experts shows an average value of 88.5 with a score of 4 which is included in the category of very feasible/appropriate to use as a learning medium. After that, the media was improved according to the suggestions given by media experts and material experts.

Appropriated artwork refers to the practice of using pre-existing objects or images into new works of art with little or no significant changes to the original form. This trend developed into the Pop Art movement, where one of the characteristic features was the use of images from mass media, as seen in the works of Andy Warhol, including the transformation of Campbell's soup cans into iconic works of art. Although widely appreciated, this work has drawn criticism regarding copyright infringement, raising the question: where do one artist's rights draw on another? To what extent is the appropriation of copyright protected works considered legal without violating the rights of the original creator?
The research results show that the two legal systems differ significantly in the aspects of exclusive rights, moral rights, protected works, exceptions, and duration of protection. The challenge in understanding fair use lies in determining the boundaries between the rights of one artist and another. The fair use doctrine assesses four main factors: the purpose and character of the use, the nature of the original work, the proportion of the work used, and the impact on the market. Courts in the US often favor fair use if elements of transformation are identified, measuring the extent to which the appropriated work carries elements of originality or new creativity. Indonesia could consider adopting the fair use doctrine by adapting the concept through ministerial regulations or other implementing regulations.

The graduate profile of the Chinese Language Education Study Program aims to produce Chinese language teachers who can both teach and conduct research on Chinese language learning issues. Culturally responsive teaching is a method for developing adaptive and responsive educators. Chinese language teachers who are culturally responsive will be able to connect Chinese culture with students' backgrounds and create meaningful learning by utilizing cultural knowledge and students' learning styles. This research aims to analyse the distribution of courses in the Chinese Language Education curriculum in Indonesia that adopt culturally responsive teaching; identify the implementation of culturally responsive teaching for strengthening prospective Chinese language teachers; and explain the factors hindering and supporting the success of culturally responsive teaching for strengthening prospective Chinese teachers. The research method used is qualitative research, utilizing an observational descriptive qualitative approach. The study was conducted to systematically describe the phenomenon of culturally responsive teaching based on factual data. Data collection techniques include literature review, documentation, observation, questionnaires, and interviews. The results of this study show that the Chinese Language Education programs in Indonesia have adopted culturally responsive teaching in their curricula, both in education-focused and non-education-focused programs. This implementation helps prospective teachers understand the relationship between language and culture, although various challenges remain, such as a lack of training, limited resources, negative attitudes, and high workloads. However, success is also evident through teacher commitment and interest, institutional support, integrated curriculum, technology and learning media use, and interdisciplinary approaches. With continuous evaluation and proper support, culturally responsive teaching has the potential to further enhance the competencies of prospective Chinese language teachers in implementing culturally responsive teaching.

The increasing use of mobile devices has increased the risk of data theft, posing significant security challenges for individuals and organizations. This study proposes an early detection system for data theft on mobile devices using machine learning algorithms. The system is designed to identify suspicious patterns in application usage, network access, and CPU/memory activity, providing early warnings to prevent potential data loss. By employing algorithms such as Random Forest, Support Vector Machine (SVM), and Convolutional Neural Network (CNN), the developed models demonstrated significant performance: CNN achieved the highest accuracy of 95.1%, with a precision of 94.2%, recall of 93.5% , F1-score of 93.8%, and AUC-ROC of 0.96. Random Forest and SVM also showed competitive performance with accuracy rates of 94.7% and 92.5%, respectively. These findings highlight the high potential of machine learning algorithms for real-time detection of data theft threats, providing adaptive protection against evolving cyberattack methods. This approach offers a promising solution to strengthen mobile device security frameworks and safeguard user data against increasingly sophisticated cyber threats.