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Human Resource Management (HRM) plays a crucial role in ensuring that a company is able to grow, compete, and sustain its operations in an increasingly dynamic business environment. Effective HRM practices help organizations optimize employee performance, improve productivity, and maintain workforce stability. One of the key aspects of HRM that significantly influences employee performance is workload and job satisfaction. An imbalance in workload or low levels of job satisfaction may lead to decreased motivation, stress, and reduced work performance. This research aims to explore and evaluate the levels of workload and job satisfaction among employees at PT Indomarco Tangerang 1. Understanding these factors is essential to identify potential problems that may affect employee performance and organizational effectiveness. The study employs a quantitative research approach, which involves collecting numerical data that can be statistically analyzed to provide objective and measurable results. Data were gathered through structured questionnaires distributed to employees. A total of 30 employees from various divisions at PT Indomarco Tangerang 1 participated in this study. Statistical analysis was used to assess the relationship between workload and job satisfaction, as well as their overall condition within the company. The findings of this research are expected to provide useful insights for management in developing appropriate strategies to manage workload effectively and enhance job satisfaction. Ultimately, improving these aspects is expected to contribute to higher employee performance and support the long-term success of the company.

This study aims to determine the influence of work discipline (variable X1) and work culture (variable X2) on employee performance (variable Y). The research method used is a descriptive and verifiable method with a quantitative approach. Data collection techniques include observation, interviews, documentation, and literature studies to obtain comprehensive and relevant data for the purpose of the research. Data analysis techniques are carried out systematically, starting from the data compilation process, data tabulation, to the hypothesis testing stage. Data analysis uses multiple linear regression to determine the influence of each independent variable on the dependent variable. The results showed that the determination coefficient (R²) value was 69.8%, which means that work discipline and work culture simultaneously have a significant effect on employee performance. Meanwhile, 30.2% of employee performance was influenced by other factors outside of the study, such as motivation, work ability, leadership, personality, job satisfaction, work environment, and employee loyalty. Thus, it can be concluded that improving work discipline and a positive work culture plays an important role in improving.

The study aims to find out the impact on compensation, motivation, and the working environment in creating job satisfaction which in turn is expected to have a positive impact on employee performance. The method used in this research is a quantitative method with a descriptive analysis approach. The data was collected through the distribution of online questionnaires using the Microsoft Forms platform. The survey respondents consisted of 101 employees of different age ranges in one company. The data obtained from the questionnaire is measured using a Likert scale from one to five, which allows respondents to give the level of agreement or disagreement with statements related to compensation, motivation, work environment, job satisfaction, and employee performance. Data analysis is done using several steps, including the Outer Model and the Inner Model. Outer Models involve calculations of Convergent Reliability, Discriminant Validity, Composite Reliability, and Cronbach's Alpha. This aims to ensure the validity and reliability of the data used in the research. Meanwhile, the Inner Model involves statistical T, R-Square, f-square and VIF calculations using the SmartPLS (Partial Least Square) analysis tool version 4.0.9.3. Research results show that compensation, motivation, and the working environment have a positive and significant influence on employee job satisfaction.