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The problems faced in this study include (1) How does talent management affect employee performance at the BLUD Banjar City General Hospital? (2) How does knowledge management affect employee performance at the BLUD Banjar City General Hospital? (3) How do talent management and knowledge management affect employee performance at the BLUD Banjar City General Hospital? This study aims to study, find out, and analyze (1) The effect of talent management on employee performance at the BLUD Banjar City General Hospital. (2) The effect of knowledge management on employee performance at the BLUD Banjar City General Hospital. (3) The effect of talent management and knowledge management on employee performance at the BLUD Banjar City General Hospital. The method used in this study is an explanatory survey, while the technical data analysis, namely validity test, reliability test, descriptive statistics, Inductive Statistical Analysis with Multiple Regression. The results of the study inform that (1) Talent management has a positive effect on employee performance at the BLUD Rumah Sakti Umum Kota Banjar. This means that if talent management is improved, employee performance at the BLUD Rumah Sakti Umum Kota Banjar will also increase. (2) Knowledge management has a positive effect on employee performance at BLUD Rumah Sakti Umum Kota Banjar. This means that if knowledge management is improved, employee performance at BLUD Rumah Sakti Umum Kota Banjar will also improve. (3) Talent management and knowledge management have a positive effect on employee performance at BLUD Rumah Sakti Umum Kota Banjar. This means that if talent management and knowledge management are improved, employee performance at BLUD Rumah Sakti Umum Kota Banjar will also improve.

The problems faced in this study include (1) How do individual characteristics affect employee performance in the Education Personnel of Galuh Ciamis University? (2) How does workload affect employee performance in the Education Personnel of Galuh Ciamis University? (3) How do individual characteristics and workload affect employee performance in the Education Personnel of Galuh Ciamis University? This study aims to study, find out, and analyze (1) The effect of individual characteristics on employee performance in the Education Personnel of Galuh Ciamis University. (2) The effect of workload on employee performance in the Education Personnel of Galuh Ciamis University. (3) The effect of individual characteristics and workload on employee performance in the Education Personnel of Galuh Ciamis University. The method used in this study is an explanatory survey, while the technical data analysis, namely validity test, reliability test, descriptive statistics, Inductive Statistical Analysis (Inferential) with Multiple Regression. The results of the study inform that (1) Individual characteristics have a positive effect on employee performance in the Galuh Ciamis University Education Staff. This means that if individual characteristics are improved, then employee performance in the Galuh Ciamis University Education Staff will also increase. (2) Workload has a positive effect on employee performance in the Galuh Ciamis University Education Staff. This means that if the workload is increased, then employee performance in the Galuh Ciamis University Education Staff will also increase. (3) Individual characteristics and workload have a positive effect on employee performance in the Galuh Ciamis University Education Staff. This means that if individual characteristics and workload are improved, then employee performance in the Galuh Ciamis University Education Staff will also increase.

This study investigates the impact of digital gamification on employee motivation, engagement, and productivity in technology companies. Gamification, which integrates game design elements such as rewards, badges, and leaderboards into non-game environments, has gained popularity as a tool for enhancing employee performance in workplaces. The research employs a quantitative survey methodology to gather data from employees in technology firms that have implemented gamified systems. The findings reveal that gamification significantly increases employee motivation by tapping into intrinsic motivators such as autonomy, competence, and relatedness. Employees reported higher levels of engagement, with many attributing their increased participation to the fun and competitive nature of gamified tasks. Additionally, productivity improvements were observed, particularly among employees in roles that require individual performance, such as software engineers, where autonomy and goal-setting were key factors. The study also identifies variations in the effectiveness of gamification based on factors such as job role and organizational culture, emphasizing the need for customization to suit different employee needs. Despite these positive outcomes, challenges such as employee resistance, poorly designed systems, and resource constraints were noted as barriers to successful gamification implementation. These findings suggest that gamification is an effective strategy for improving motivation and engagement in technology companies but requires thoughtful design and alignment with company culture to maximize its impact. Future research should explore the long-term effects of gamification and examine how specific elements, such as leaderboards and rewards, influence employee behavior across different demographics.

The following study aims to analyze and find out (1) The impact of incentives on the work results of PT employees. Amanah Safari Internasional Tour Travel, which has been running, (2) This research uses a qualitative approach to look for incentives to improve the performance of PT employees. Amanah Safari International Travel. Data mining methods encompass observation, documentation, and direct interviews with management and relevant staff. The results of this study show (1) the incentive system that the company has to provide material and non-material incentives to its employees, such as bonuses and social security, religious and non-religious awards and joint holidays. Employee quality, employee quantity, and employee attendance or discipline drive employee performance and motivation. This research shows that incentives can increase work morale and increase achievement, loyalty, discipline, and accountability towards positions. These valuable results can have an impact on improving employee performance. (2) According to the analysis results, PT. Amanah Safari Internasional Tour Travel has an incentive program that suits the needs of its employees, but further research is needed to improve the efficiency of this program. As a result, companies are expected to be able to maintain and improve their incentive policies to improve employee performance.

JNE is the largest logistics company in Indonesia, this company is a freight forwarding company both domestically and abroad. In its business process JNE has an Outbound unit which is responsible for receiving goods from Sales Counter Official (SCO) agents and branch offices, processing, checking, packaging, and transporting goods to the appropriate destination. The purpose of this study is to determine the effect of Standard Operating Procedures (SOP), supervision, and Information Technology on Employee Performance in the operational management of the JNE Main Branch Medan Outbound unit. This research uses Descriptive Qualitative method in identifying problems. The results in this study state that SOP has a significant effect on Employee Performance because it is an important part of the smooth work process for employees, Supervision and Information Technology also have a significant effect on Employee Performance. Supervision ensures employees work in accordance with SOPs and achieve previously set work targets, and the use of Information Technology in the work process will increase the efficiency and effectiveness of employee work.

This research aims to test and analyze the effects of workload, work environment, and work conflict on work stress among employees. The analysis unit in this study consists of 36 employees. Samples were taken using saturated sampling techniques. Data analysis was conducted using statistics with the help of SPSS version 22. Based on the results of the data analysis using the t-test, it is known that partially, workload has a significant effect on work stress, the work environment has a positive and significant effect on work stress, and work conflict has a positive and significant effect on work stress. Meanwhile, based on the results of the data analysis using the F-test, it is known that simultaneously, workload, work environment, and work conflict significantly affect work stress. Therefore, it is recommended for companies to pay attention to the work environment conditions in order to reduce employees' work stress.

This study aims to determine the effect of self-control, work stress on cayberloafing in improving the performance of employees of the Food Security and Agriculture Office of Jepara Regency. The population of researchers is all civil servants at the Food Security and Agriculture Office of Jepara Regency as many as 100 people, in addition to the head of service, the sample that has been determined in this study is civil servants at the Food Security and Agriculture Office of Jepara Regency. Determination of the sample size using the Non Probability Sampling method with saturated sample technique. Data analysis in this study used the SmartPLS version 3 program. The data analysis technique used the Structural Equation Modeling (SEM) equation model. The results of the analysis and discussion show that self-control has a negative effect on cyberloafing, work stress has a positive and significant effect on cyberloafing, cyberloafing behavior has a negative effect on performance, self-control behavior has a positive and significant effect on performance, work stress has a negative effect on performance, self-control has a positive effect on Employee Performance through Cyberloafing, work stress has a negative effect on Employee Performance through Cyberloafing in Employees of the Food Security and Agriculture Office of Jepara Regency.

XYZ is a multi-disciplinary company operating in the fields of mining contracts, engineering, procurement and construction as well as oil and gas services. This business entity, which has been established since 1972, has a strong commitment to Occupational Safety and Health (K3) which has become a culture in every element of the company. Basically, K3 is an effort to prevent/avoid/reduce accidents by stopping/removing/eliminating risks (risks). K3 is one of the requirements for increasing employee work productivity, this is closely related to achieving work or production targets. This research was conducted at the company PT. XYZ in the Balikpapan area. The aim of this research is to measure the level of employee concern for K3, with the efforts that the company has made through the rewards system, digitalization and audio-visual campaign methods. The research population is employees of PT. XYZ in the Balikpapan area. Sampling was carried out using a two-stage multi-stage cluster random sampling technique. The first stage is separated based on department cluster; Asset Management, SHE, SCM, HCBS, and Finance. The second stage is PT employees. XYZ is separated based on work environment stratification; office and field. Respondent data was analyzed with SEM-PLS using Smart PLS 3.0 software. The model developed illustrates that the rewards system, digitalization and audio-visual campaigns have a positive influence on worker safety motivation and indirectly influence worker safety behavior through worker safety motivation which acts as a mediating variable. Meanwhile, work safety motivation has a positive effect on work safety behavior.    

Human resources are very valuable assets and are a major investment that can determine the progress of an organization. Human resources who have knowledge, skills and attitudes that are in accordance with the needs of the organization will encourage creativity and new innovations so that they become a source of unique competitive advantage that is difficult to imitate. Thus, human resources as an asset in an organization must be managed effectively so that they are useful and effective in realizing organizational goals. Employee performance can be used as a benchmark to assess the progress of an organization. Performance measures can be seen from the number and quality of certain aspects according to the standards set by the organization or company, the form can be tangible (the measuring instrument or standard can be determined) or intangible (the measuring instrument or standard cannot be determined), depending on the form and process of implementing the work. This study aims to determine the level of work competence and work motivation as an effort to improve the performance of employees of the Archives and Library Service of Banjar City. This study uses a descriptive survey method, namely research that seeks to collect data, critically analyze the data and conclude it based on facts during the research period. The population in this study were employees of the Archives and Library Service of Banjar City, both civil servants and non-civil servants. Data processing used SPSS version 20. The results of the study were obtained from the results of testing with multiple linear regression tests showing that competence had an effect of 48.3%, and work motivation had an effect of 44.5% on performance partially, overall both variables had an effect of 78.9% and the remaining 21.1% was influenced by other factors.

In the world of work, communication is at the root of all important aspects inherent in the person of each individual, helping to achieve goals both personally and organizationally. This study was made using literacy study methodology which found that effective communication is associated with increased productivity, better organizational health, and employee satisfaction. Identification of communication styles is also considered to play an important role in building positive interactions with others and play a key role in building personal branding. Good communication can help improve well-being in relationships and play a role in personal and professional growth and success. Case studies also show that clear internal communication positively affects employee performance, while lack of communication can lead to misunderstandings and decrease productivity. In the context of sales, communication in marketing also plays an important role in increasing sales volume by presenting clear and precise information about the product to build consumer trust.

This study explores the relationship between teachers' digital pedagogical competency and student learning outcomes in both rural and urban schools. A descriptive survey design, utilizing correlational and regression analyses, was employed to examine this relationship. Data were collected from teachers using a structured questionnaire assessing their digital competence, while student learning outcomes were measured through academic performance records. The results revealed significant differences between urban and rural schools in terms of teachers’ digital competence, with urban teachers demonstrating higher levels of digital skills. A positive correlation was found between teachers' digital competence and student learning outcomes, particularly in urban schools, where digital tools were more readily available. The regression analysis further confirmed that digital competence was a significant predictor of student achievement, with urban schools outperforming rural ones even after controlling for teacher experience. The study suggests that infrastructure availability, teacher training, and institutional support play crucial roles in enhancing digital competence, particularly in rural schools, where such resources are often limited. These findings underscore the need for policy reforms that ensure equitable access to digital tools and professional development opportunities for teachers across both rural and urban settings. Recommendations include targeted interventions for rural schools to bridge the digital divide and improve student learning outcomes through enhanced teacher digital competencies.

This study evaluates the role of instructional leadership in fostering inclusive education practices within primary schools. The research investigates how principals, through their leadership practices, contribute to the development of a culture of inclusion, particularly for students with special needs. A mixed-method approach was employed, combining quantitative surveys of primary school teachers and qualitative interviews with principals and educators. The findings reveal that effective instructional leadership plays a crucial role in enhancing teacher engagement and promoting inclusive practices. Key leadership practices such as clear communication, ongoing support, and the active promotion of inclusivity were found to significantly impact the success of inclusive education. Additionally, the study highlights the importance of leadership training, with principals who received formal training being more capable of supporting inclusive practices. The involvement of the school community, including teachers, parents, and local stakeholders, was also identified as a critical factor in sustaining inclusive education practices. Finally, the study emphasizes the need for curriculum flexibility, showing that the ability to adapt teaching methods and materials to meet the diverse needs of students is vital for fostering inclusion. These findings underline the importance of comprehensive leadership development, community collaboration, and curriculum adaptability in creating inclusive primary school environments.

This study examines the impact of blended learning on student engagement and academic achievement in secondary schools during the recovery phase of the pandemic. A quantitative research approach was employed, utilizing a comparative design to assess the differences between blended learning and conventional learning models. Data were collected through student engagement surveys and academic performance records from secondary school students exposed to both learning models. The results indicated that students in the blended learning model exhibited significantly higher levels of engagement across behavioral, emotional, and cognitive dimensions compared to those in the conventional model. Academic achievement was also notably higher in the blended learning group. Statistical analysis, including t-tests and linear regression, revealed a strong positive correlation between student engagement and academic performance. The study concluded that blended learning significantly enhances student involvement and performance, particularly when supported by adequate technological infrastructure and teacher preparedness. These findings suggest that blended learning should be integrated as a permanent strategy in post-pandemic education to support student success and engagement. The study also emphasizes the importance of continuous teacher training and technological support in maximizing the benefits of blended learning.

This study explores the role of sentiment analysis as a predictive tool for understanding and forecasting product launch success in the digital market. Sentiment analysis involves the classification of consumer sentiment expressed on social media platforms such as Twitter and Instagram, and it can significantly impact businesses by predicting consumer behavior and product performance. The research highlights the relationship between social media sentiment and product success, demonstrating that positive sentiment is strongly correlated with higher sales and consumer engagement, while negative sentiment can lead to declines. Machine learning models, including Support Vector Machines (SVM) and Random Forest, were employed to classify sentiment from large volumes of social media data and correlate it with product performance indicators such as sales volume and consumer interaction. The study found that sentiment analysis models were highly effective in predicting product success, with positive sentiment generally driving product profitability and negative sentiment posing a potential threat to brand reputation. Moreover, the analysis showed that social media sentiment provides real-time insights into consumer perceptions, enabling businesses to quickly adjust marketing strategies and product development plans. These findings underscore the importance of integrating sentiment analysis into product launch evaluations and strategic decision-making. Future research should explore the integration of sentiment analysis with other predictive market models and investigate the effects of fake reviews and post-purchase consumer behaviors on product success.

The traditional food and beverage industry in Medan, Indonesia, is undergoing significant changes as Industry 5.0 technology becomes more integrated. This research explores the impact of this transformation through data analysis from 143 traditional culinary businesses. The focus is on evaluating the extent to which Industry 5.0 has been adopted, identifying factors that drive or hinder its adoption, and analyzing how this affects business operations and customer experiences. We utilized Structural Equation Modeling with Partial Least Squares (SEM-PLS) to examine the relationship between business characteristics, workforce readiness, Industry 5.0 adoption, and its implications for operational and customer experiences. We used descriptive statistics to understand demographic and technological profiles, while measurement model evaluation demonstrated the validity and reliability of our survey. Path analysis and bootstrap analysis were employed to confirm relationships, while fit model evaluation, R², and Q² provided insights into overall model robustness. Our findings contribute to academic knowledge, provide guidance for business owners in making strategic decisions, and establish standards for future research on Industry 5.0 adoption in the traditional sector.

The rapid growth of cross-platform applications has significantly increased the volume and diversity of sensitive user data processed across heterogeneous and distributed environments. Personally identifiable information, device identifiers, behavioral data, and financial information are routinely collected to support personalization, analytics, and service optimization. While these practices enhance application functionality and user experience, they also introduce substantial privacy risks, including unauthorized data access, device fingerprint–based re-identification, cross-user data leakage, and large-scale data breaches. These risks are further amplified by distributed processing architectures and extensive third-party library integrations commonly used in modern cross-platform systems. This study aims to systematically analyze privacy issues in cross-platform applications by examining the types of sensitive data involved, identifying dominant privacy threats, and reviewing state-of-the-art privacy-preserving mitigation strategies. A systematic literature-based methodology was employed, focusing on recent Scopus-indexed journal articles, conference papers, and book chapters. The analysis synthesizes findings using thematic categorization and a conceptual research framework that maps sensitive data sources to privacy threats and corresponding mitigation mechanisms. The results indicate that privacy risks in cross-platform applications originate not only from external attacks but also from internal architectural weaknesses, such as flawed authorization logic and excessive data sharing across system components. Privacy-preserving techniques including differential privacy, federated learning, blockchain-based data governance, secure multi-party computation, and fine-grained access control mechanisms are shown to provide stronger privacy guarantees compared to conventional centralized approaches. However, these techniques also present trade-offs related to system complexity and performance. Overall, the study highlights the importance of adopting a multi-layered, privacy-by-design approach to ensure sustainable, trustworthy, and regulation-compliant cross-platform application development.

More time can be identified by applying AI to Big Data analysis in order to automate business processes on the platform. With the advent of AI and machine learning technologies, businesses can now interact with customers automatically because these technologies can provide honest feedback directly from customers. Many businesses currently use chatbots, which enable employees to communicate with customers around-the-clock. In business, machine learning can help determine the status of goods shipment. Data-data is time-based information that is analyzed to make it suitable for determining the status of the transaction. In addition, the use of machine learning can provide information about often purchased goods and assist consumers in examining goods that are highly valued

Character education is a central issue in Indonesian society, addressing concerns about educational inequality and the behavior of graduates. This article explores these issues and the diverse interpretations of the concept of "character education." Character, in linguistic and cultural contexts, is defined as fundamental traits, personality, and habits shaping behavioral patterns. Character education, involving religious, social, and cultural dimensions, aims to form virtues in thoughts, attitudes, and daily behavior. Schools, as formal educational institutions, play a crucial role in shaping students' characters. With a focus on cleanliness, discipline, and politeness, character-based schools are seen as creating a conducive educational environment. The research method employed is a literature review, gathering information from various sources. The findings emphasize the importance of a clear understanding of character education to address educational issues and build a solid moral foundation for future generations

The Break Even Point (BEP) analysis can be used by company management to determine product pricing, establish minimum sales, set sales targets, and plan desired profits. The objective of this research is to analyze the determination of the selling price of a production item using the Break Even Point (BEP) method. This research was conducted using a quantitative descriptive method through a cas study approach that employed Break Even Point (BEP) analysis calculations. The results of this research indicate that for the rice flour product of PT AMM, the Break Even Point (BEP) is reached at a sales amput of Rp. 2.129.816.330,-. At this break event point, the selling price of the product is determined to be Rp. 36,975,-, with a total quantity sold of 57,600 units. The sales level, with a variable expense ratio of 87%, allows the company to set the selling price of the product at the break even point (BEP) unit itself is 57.610 units that need to be sold. PT AMM has a profit target of Rp. 20.000.000,- must be made. This is because of the high variable costs; therefore, to achieve a high profit target, additional variable costs must be incurred.

This writing aims to examine the influence of Consumer Behavior on the Purchase Decision of Beauty Products on e-commerce platforms in South Jakarta. The population in this study consists of individuals who purchase beauty products using e-commerce in South Jakarta. and the exact number is unknown. The sampling technique employed is Accidental Sampling using the Lemeshow formula. with a sample size of 68 respondents. The data collection method utilized is a questionnaire. The data analysis techniques include descriptive analysis. quantitative analysis. simple regression analysis. hypothesis testing (t-test). and coefficient of determination. processed using Statistical Product and Service Solution (SPSS) version 25.0. The research findings indicate that Consumer Behavior has a positive and significant influence on the Purchase Decision of Beauty Products on e-commerce platforms in South Jakarta.