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Competition in acquiring young talent is increasing, so employer branding strategies  are an important element for organizations in attracting the interest of generation Z. As digital natives, generation Z has different characteristics and expectations, including the need for career development, work-life balance, organizational reputation, and an inclusive work culture (Smith, 2022). In the midst of global competition and the increasingly dominant use of digital technology in the job search process, companies are required to build an authentic and relevant employer image in order to increase the attractiveness of their talents. Previous research has shown that employer branding has a significant effect on the interest in applying for jobs for generation Z, either directly or through mediating factors such as organizational reputation and person-organization fit (Backhaus & Tikoo, 2004; Jiang & Iles, 2024). Based on this phenomenon, this study aims to analyze the influence of employer branding on the interest in applying for jobs of Generation Z and examine the role of organizational reputation and person organization fit as a mediation variable. The study used a quantitative approach with a survey method of Generation Z respondents who were looking for a job, then analyzed using multiple regression and bootstrapping mediation test. The results of the study show that employer branding has a positive and significant effect on the interest in applying for jobs for generation Z, and this influence is stronger when the reputation of the organization and the person-organization fit plays the role of mediator. These findings affirm the importance for organizations to build a positive image, provide an inclusive work culture, and highlight the value match between companies and applicants in order to be able to compete in the fight for young talent in the digital era.

This research aims to analyze the influence of job placement, fringe benefits, and work facilities on the performance of employees at Jawa Pos Kediri, both partially and simultaneously. The method used is quantitative with a descriptive and associative approach. Data were collected through the distribution of questionnaires to 50 respondents who are employees of Jawa Pos Kediri. The data analysis techniques used include multiple linear regression, t-test (partial), F-test (simultaneous), and the coefficient of determination (R²). The results indicate that both partially and simultaneously, job placement, fringe benefits, and work facilities have a positive and significant impact on employee performance. The R² value of 0.944 indicates that 94.4% of the variation in employee performance can be explained by these three variables, while the remaining 5.6% is influenced by other factors. Therefore, this study emphasizes that appropriate job placement, adequate benefits, and sufficient work facilities are important factors in improving employee performance at Jawa Pos Kediri. Thus, the company management needs to pay more attention to these three aspects to create a productive and sustainable work environment.

Micro, Small, and Medium Enterprises (MSMEs) are a vital pillar of the Indonesian economy, contributing 61% to GDP and employing 97% of the workforce. Despite their importance, MSMEs face a high failure rate of 78–80%, with financial management problems accounting for 82% of failures. This study aims to analyze and prove the influence of risk management on the success of entrepreneurial efforts in MSMEs, while also measuring its contribution in explaining variations in business success. Using a quantitative approach with a survey method, the research involved 100 purposively selected respondents who met criteria of operating for at least two years and employing at least one worker. Data analysis included validity and reliability tests, classical assumption tests, simple linear regression, t-test, and coefficient of determination (R²). Results confirmed that all instruments were valid and reliable, with data meeting normality and heteroscedasticity assumptions. Regression analysis produced the equation Y = 5.428 + 0.724X, showing that risk management positively influences business success. The t-test confirmed significance, while R² = 0.403 indicated that risk management explains 40.3% of success variation. The findings conclude that effective risk management significantly enhances MSME sustainability and entrepreneurial success.

The game industry in Indonesia has shown significant growth in recent years, along with the increasing public interest in high-quality video games. AAA (triple-A) games such as Grand Theft Auto VI (GTA VI) rely heavily on trailers as their primary promotional tool to introduce the game’s atmosphere, visual quality, and complex storytelling. GTA is widely recognized as a pioneer in realistic visuals, deep narratives, and social criticism delivered through iconic storytelling, making it highly appealing to potential consumers. This study aims to examine the influence of visual narrative in the GTA VI trailer on consumers’ purchase intention within the Indonesian GTA V Roleplay Facebook community. The theoretical framework is based on Marketing Communication Theory, Visual Narrative Theory with the dimensions of clarity, realism, dynamism, and continuity, as well as Purchase Intention Theory consisting of transactional, referential, preferential, and exploratory intentions. A quantitative approach was employed using a survey method, with questionnaires as the data collection instrument. The sample was selected using simple random sampling and calculated using the Slovin formula with a 5% margin of error, resulting in 92 respondents. The results indicate that the visual narrative variable achieved the highest mean score in the realism dimension (3.29), while purchase intention recorded the highest mean score in the transactional intention dimension (3.79). Simple linear regression analysis reveals that visual narrative has a significant influence on purchase intention, with a correlation coefficient (R) of 0.918. The coefficient of determination (R²) of 0.843 indicates that 84.3% of purchase intention is influenced by visual narrative, while the remaining 15.7% is affected by other factors beyond this study.

Health workers contribute up to 80% to the success of health development. For this reason, effective employee performance management is needed according to service performance for communicable and non-communicable diseases. The aim of this research is to analyze the factors that influence the performance of nurses in health services for non-communicable diseases and infectious diseases at the UPT Puskesmas Kuala, Kuala District, Langkat Regency.The research design used was an analytical survey with a cross sectional approach. The population of this study were all 31 nurses with a sample using a total sampling technique of 31 people. The data analysis used is the binary logistic regression test.The research results show that ability has a sig-p value of 0.025, attitude sig-p 0.014, learning sig-p 0.036, motivation sig-p 0.022, leadership sig-p 0.031 and work environment sig-p 0.048, which means it has an influence on nurse performance , while age sig-p 1.000 and perception sig-p 0.496 have no influence on nurse performance. Attitude is the dominant factor with an OR value of 28.446. In conclusion, ability, attitude, learning, motivation, leadership, and work environment influence nurse performance, while age and perception have no effect. Attitude is the most dominant factor influencing nurse performance.

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.

Social media has become an alternative space for emotional expression among university students, particularly as a medium for sharing personal problems or emotional distress. This study aims to examine the effect of social media use as a venting platform on the mental health of students at STAIN Mandailing Natal. A quantitative associative research design was employed, involving 25 fifth-semester students as respondents. Data were collected using a Likert-scale questionnaire measuring the intensity of social media venting behavior and mental health indicators, including stress, anxiety, mood, and self-confidence. The data were analyzed using descriptive statistics and inferential tests, including correlation and simple linear regression. The findings indicate that social media use as a place for venting has a significant relationship with students’ mental health. Positive responses received through social media tend to improve emotional well-being, while negative responses may increase stress and anxiety levels. These findings suggest that social media can function both as a supportive and risky environment for students’ mental health, depending on how it is used. Therefore, students are encouraged to use social media wisely, and educational institutions are advised to provide mental health literacy and guidance related to healthy social media use.

This study aims to examine and analyze the effect of capital structure and fixed asset turnover on return on assets (ROA) at PT Argo Pantes Tbk during the period 2013–2022. The research employs a quantitative method with a statistical analysis approach, using secondary data obtained from the company’s financial statements. The data analysis techniques include classical assumption tests, namely normality, multicollinearity, heteroscedasticity, and autocorrelation tests, followed by multiple linear regression analysis. Hypothesis testing is conducted through the coefficient of determination, partial statistical testing (t-test), and simultaneous statistical testing (F-test). The results indicate that capital structure has a significant effect on return on assets. This is evidenced by a t-value of 2.986, which is greater than the t-table value of 2.36462, and a significance level of 0.020, which is lower than 0.05. These findings suggest that an optimal capital structure plays an important role in improving the company’s profitability performance. Therefore, capital structure management should be considered a strategic factor by management in enhancing financial efficiency and overall corporate performance.

This study examines the effect of financial ratios on dividend policy with sales growth as a moderating variable in technology sector companies listed on the Indonesia Stock Exchange during the period 2019–2023. Dividend policy is an important corporate decision because it reflects management considerations in balancing company growth and shareholder returns. The independent variables used in this research are profitability, liquidity, and leverage, while dividend policy is the dependent variable and sales growth acts as a moderating variable. Profitability is measured using Return on Assets (ROA), liquidity is proxied by the Current Ratio (CR), leverage is measured using the Debt to Equity Ratio (DER), and dividend policy is measured by the Dividend Payout Ratio (DPR). This study employs a quantitative approach using secondary data obtained from the annual financial statements of technology sector companies listed on the Indonesia Stock Exchange. The data are analyzed using multiple linear regression and moderated regression analysis.The results show that profitability does not have a significant effect on dividend policy, indicating that net profit generated during the year is not the main consideration in dividend distribution decisions within technology companies. Liquidity has a significant effect on dividend policy, suggesting that companies with stronger short-term financial conditions tend to have a greater ability to distribute dividends. Leverage also significantly affects dividend policy, implying that the level of corporate debt influences management decisions regarding dividend payments. Furthermore, sales growth does not moderate the relationship between profitability and dividend policy. However, sales growth is proven to moderate the effect of liquidity and leverage on dividend policy. These findings provide insights for management and investors in understanding dividend policy determinants in technology sector companies in Indonesia.

This study examines the role of social media, particularly Twitter, as a digital da’wah medium that is fast, interactive, and easily accessible to users. However, the extent to which the use of Twitter can enhance communication confidence among students still requires empirical validation. The focus of this research is to evaluate the effectiveness of Twitter use in influencing students’ communication abilities, especially in delivering da’wah messages. The purpose of this study is to analyze the effect of Twitter usage on the communication confidence of students from the 2020 cohort. A quantitative approach was employed using a survey method. Data were collected through a structured, scale-based questionnaire, in accordance with the positivistic research paradigm that emphasizes objective and measurable hypothesis testing. The research population consisted of 62 students, from which 38 respondents were selected using proportionate stratified random sampling to ensure representation across all population strata. The findings reveal that the use of Twitter has a significant effect on the communication confidence of KPI IAI Al-Azis students from the 2020 cohort in delivering da’wah messages. Regression analysis results show a significance value of 0.050 < 0.05, with a Pearson correlation coefficient of 0.614, indicating a strong relationship. These results suggest that the more frequently students engage with Twitter, the greater their confidence in expressing and disseminating da’wah messages through various digital formats such as text, images, and videos. Twitter thus provides an expressive platform that fosters interaction, encourages participation, and strengthens students’ digital da’wah communication skills.

This research aims to test and analyze the influence of tax administration modernization, tax knowledge, tax socialization, and tax sanctions on the compliance of individual taxpayers registered at the Primary Tax Office (KPP Pratama) Atambua. This study is a quantitative research employing a descriptive approach method. The data collection technique used in this research involves distributing questionnaires via Google Form. The sampling method applied is random sampling, with a sample size of 100 individual taxpayers. The analysis method utilized is multiple linear regression analysis. The research results indicate that all four independent variables have a positive and significant influence on individual taxpayer compliance (WPOP), both partially and simultaneously. Modernization enhances compliance through the efficiency of electronic systems such as e-Filing. Knowledge strengthens reporting accuracy with a better understanding of procedures. Socialization builds motivation through easily accessible information via digital and print media. Sanctions create a deterrent effect through awareness of fines and penalties.

This study aims to determine and analyze the effect of Corporate Social Responsibility, Green Accounting, Intellectual Capital, and Firm Size on Financial Performance with Good Corporate Governance as a moderating variable. This study was conducted on mining companies listed on the Indonesia Stock Exchange (IDX) for a five-year period, namely 2020–2024. The study population consisted of 34 mining companies, with the sampling method using purposive sampling, resulting in 33 companies as research samples. The information used was derived from secondary sources, namely annual reports and sustainability reports.  Multiple linear regression and Moderated Regression Analysis (MRA) were used to analyze the data, with the assistance of EViews software. The results showed that Corporate Social Responsibility had a positive and significant effect on Financial Performance. Green Accounting and Intellectual Capital also had a positive and significant effect on Corporate Social Responsibility. Meanwhile, Firm Size had a positive but insignificant effect on Financial Performance. The results of the moderation test indicate that Good Corporate Governance is unable to moderate the influence of CSR, Green Accounting, Intellectual Capital, or Firm Size on Financial Performance. This finding suggests that increasing social responsibility, implementing green accounting, and managing intellectual capital can improve the financial performance of mining companies, but their effectiveness has not been strengthened by corporate governance mechanisms.

This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into training data (80%) and test data (20%) to build and evaluate the model. The training results showed that the model was able to predict the risk of arrhythmia with a Mean Squared Error (MSE) value of 0.15 and a coefficient of determination (R²) close to 1. Evaluation using a confusion matrix showed an accuracy of 76.19%, precision of 82.80%, recall of 76.19%, and F1 score of 72.70%. These results prove that linear regression can be used as an initial approach in the early detection of arrhythmias non-invasively in the elderly. This study provides a foundation for the development of ECG data-based clinical decision support systems and suggests future exploration of more complex models and integration with real-time monitoring technologies.

This study aims to analyze the effect of workload, leadership style, and compensation on employee performance at PT Ungaran Sari Garment, Semarang Regency. This quantitative research involved 109 respondents selected using the Slovin formula and purposive sampling. Data were collected using Likert-scale questionnaires and analyzed through multiple linear regression with SPSS 21. The results show that workload and compensation positively and significantly influence employee performance, while leadership style has no significant effect. Simultaneously, all three variables significantly affect performance. These findings indicate that appropriate workload management and a fair compensation system are vital for improving employee performance.

This study aims to analyze the influence of work environment and job satisfaction on the performance of warehouse employees at PT J&T Express. Work environment and job satisfaction are important factors that are thought to increase productivity and work efficiency. The research method used is quantitative with a survey approach, data collection through questionnaires announced to 100 warehouse employees of PT J&T Express using a purposive sampling technique. The data obtained were analyzed using linear multiple regression to test the partial and simultaneous effects of independent variables on the dependent variable. The results of the study indicate that work environment and job satisfaction have a significant positive effect on the performance of warehouse employees. This finding indicates that improving the quality of the work environment and job satisfaction can be an effective strategy in improving employee performance at PT J&T Express. This study is expected to provide practical contributions to company management in managing human resources to increase company competitiveness.

This study aims to analyze the influence of location, promotion, and service on purchasing decisions at Toko Lia 99 Semarang. The background of this research is based on the increasing competition in the retail business, which requires companies to pay attention to factors that can influence consumers’ purchasing decisions. This study uses a quantitative approach with a survey method. Primary data were obtained through questionnaires distributed to 100 respondents who are customers of Toko Lia 99 Semarang. The research instrument was a questionnaire using a Likert scale. The data analysis technique used is multiple linear regression with the help of SPSS software. The results show that, partially, the location variable has a positive and significant effect on purchasing decisions. The promotion variable also has a positive and significant effect on purchasing decisions. Likewise, the service variable is proven to have a positive and significant effect on purchasing decisions. Simultaneously, location, promotion, and service have a positive and significant influence on purchasing decisions.

This study aims to analyze the influence of terminal users’ perceptions on business development opportunities at Mangkang Type A Terminal, Semarang City, managed by the Central Java Class I Transportation Management Agency (BPTD). As a major transportation hub, the terminal functions not only as a passenger transit point but also as a strategic economic area with potential for commercial facility development. However, the utilization of business opportunities at Mangkang Terminal remains suboptimal, necessitating an evidence-based analysis of the factors that shape these opportunities. This research employs a quantitative approach using a survey method involving terminal users, including passengers, public transport drivers, and terminal visitors. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression to examine the influence of user perceptions on business potential, which includes interest in facility usage, demand for additional services, and preferences for commercial space utilization. The findings indicate that perceptions related to comfort, safety, cleanliness, accessibility, and service quality significantly affect business development opportunities. Comfort and service quality emerge as the most dominant factors driving user interest in commercial facilities. These results emphasize that improving terminal service quality can serve as an effective strategy to expand business opportunities and enhance non-tax revenue.

This study aims to analyze the influence of relationship marketing and e-servicescape on customer loyalty of Tokopedia users in Medan City. The rapid development of digital technology encourages Tokopedia to build long-term relationships with customers while creating a convenient and secure online shopping experience. This research employed a quantitative method with an associative approach, using data collected through questionnaires distributed to 100 Tokopedia users in Medan City and analyzed using multiple linear regression. The results show that relationship marketing has a positive and significant effect on customer loyalty, where effective communication, responsive services, and loyalty programs such as Tokopedia Points increase customer trust and emotional attachment. In addition, e-servicescape also has a positive and significant effect on customer loyalty through an attractive interface, easy navigation, and reliable transaction security. Simultaneously, both variables make a substantial contribution to building customer loyalty toward Tokopedia. Thus, effective relationship marketing strategies and high-quality digital environments are crucial factors in maintaining customer loyalty and enhancing Tokopedia’s competitiveness in the increasingly intense e-commerce industry.

Urban mobility in Surabaya faces serious challenges due to the high ownership of private vehicles and the low use of public transportation. The Surabaya City Government launched Suroboyo Bus Electric in November 2024 as a sustainable transportation innovation on the Purabaya–ITS route. This study aims to analyze commuter preferences for the Suroboyo Bus Electric mode over private vehicles, by emphasizing functional factors (cost, travel time, comfort) and symbolic factors (status, identity, modern image). The research method used a quantitative descriptive approach with 400 respondents, primary data was obtained through questionnaires, while secondary data came from government documents and literature. The analysis was carried out through descriptive statistics, chi-square tests, and logistic regression. The results showed that the majority of respondents chose Suroboyo Bus Electric as the main mode (62%), with the dominance of young, middle-income users, and mostly women. Most of the respondents have one unit of private vehicle, but still use electric buses as a mode of complementing mobility. Travel destinations are dominated by social, economic, and educational activities, with an average travel time of 16–30 minutes. In terms of cost, more than half of the respondents spent Rp 5,000-Rp 10,000 per trip, indicating the affordability of fares. Symbolic factors also play an important role, where Suroboyo Bus Electric is perceived as a modern, clean, and sustainable city identity.

Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several layers (input, hidden, and output). NN is used for pattern recognition, classification, regression, and complex non-linear modeling. The NN algorithm has the advantage of working well on large and diverse data and unstructured data. However, the NN algorithm has weaknesses such as overfitting and data dependence. In this study, the integration of the Sample Bootstrapping and Weighted Principal Component Analysis (PCA) methods is proposed to improve optimal accuracy in the NN algorithm. The Sample Bootstrapping method is used to reduce the amount of training data to be processed. The Weighted PCA method is used to reduce attributes. This study uses a financing customer dataset. The results of the study show that the integration of the NN algorithm with Sample Bootstrapping and Weighted PCA resulted in an accuracy increase of 1-3% (97%-99%) compared to other algorithms. Therefore, it can be concluded that the integration of the NN algorithm with Sample Bootstrapping and Weighted PCA produces better accuracy than other algorithms