Provision of good working hours in accordance with standards must be maintained by businesses to fulfill all their goals, including the Indonesian manufacturing industry. The manufacturing industry in Indonesia must prioritize work standards, because these factors greatly affect a company's ability to achieve its goals. The purpose of this study was to determine the effect of working hours and overtime on resource management with industrial relations, to analyze working hours to attract employees and to analyze the calculation of employee wages. The author uses a qualitative descriptive method in this study. The result of this research is that everyone involved in industrial relations must understand the rules of the game and other regulations that apply in Indonesia. In terms of working hours or overtime policies, developing the quality of human resources, absenteeism and leave policies, and salary increases that are in accordance with industry standards, can improve employee welfare and productivity and maintain competitiveness in a company.

Career management is an ongoing series of activities that must be prepared, developed, implemented and monitored by employees or Organizational involvement. The key to creating professional HR lies in recruiting, selecting, training, and developing employees. Therefore, in this study the authors wanted to examine HR analysis related to recruitment and career management. The type of research used by the author is qualitative research, which is carried out based on scientific objects. In this study, the data collected is secondary data. The researcher uses the Observation method, which is the act of analyzing, keeping detailed records of the observable changes that occur in the subjects studied. The author finds that HR Analytics can be used to make a significant difference in business, particularly in the manufacturing sector. These procedures can help businesses grow by reducing the impact of human fatigue on all aspects of business operations and enabling more effective data-driven decision-making.