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Human Resource Management (HRM) plays a strategic role in improving organizational competitiveness through proper management of employee placement, training, and performance evaluation. To support the achievement of these goals, a predictive model is needed that can provide an accurate picture of employee performance. This study utilizes a Human Resource Management (HRM) dataset of 1,200 data and applies several classification algorithms to compare their effectiveness, namely J48 or C4.5, Random Forest, Naive Bayes, K-Nearest Neighbor (KNN), Logistic Regression, and Support Vector Machine (SVM). To obtain more optimal results, this study uses resampling techniques and attribute selection methods with a correlation attribute eval approach, so that class distribution can be more balanced and model accuracy increases. From the test results, the Decision Tree J48 algorithm showed the best performance with an accuracy level reaching 95.41%, a kappa value of 0.8925, a mean absolute error (MAE) of 0.0432, a precision of 0.955, a recall of 0.954, and an area under the ROC curve of 0.964. These findings indicate that J48 has excellent predictive capabilities compared to other algorithms. Furthermore, this study also found that the most influential variables in determining employee performance include the percentage of the last salary increase (EmpLast Salary Hike Percent), the level of work environment satisfaction (Emp Environment Satisfaction), the length of time since the last promotion (Years Since Last Promotion), and experience in the current role (Experience Years in Current Role). Overall, the results of the study indicate that the C4.5 algorithm with the application of the resampling technique can be an optimal solution in building an employee performance prediction system. Thus, this model has the potential to be a strong basis for managerial decision-making, particularly in designing HR development strategies and policies to improve organizational performance.

This study aims to analyze the role of organizational culture in optimizing employee performance in Lebak Bulus Village, South Jakarta. A strong organizational culture is considered to have a significant contribution in improving the effectiveness of government officials and the quality of public services to the community. This study uses a qualitative descriptive approach with a phenomenological method, which emphasizes an in-depth understanding of the experiences, views, and behaviors of employees in carrying out their duties in their work environment. The research focuses on actors (employees), social situations, and activities that occur within the village environment. Data collection techniques were carried out through observation, in-depth interviews with key and primary informants, and documentation. Data validity was tested through triangulation of sources and techniques to increase the validity of the research results. The results show that the organizational culture in Lebak Bulus Village has strengths in the aspects of innovation and risk-taking, orientation towards results, orientation towards people, and stability. However, several weaknesses were still found, such as low individual initiative, lack of attention to detail, weak team orientation, minimal levels of aggressiveness, and limited employee experience and accuracy. Opportunities for improvement can be pursued through ongoing training and the digitalization of public services, although challenges remain, including a passive work culture and resistance to policy change. Overall, organizational culture plays a crucial role in supporting employee performance improvement, but a sustainable strategy is needed to strengthen professionalism and build a more adaptive and progressive work culture. Efforts to address identified weaknesses, such as improving communication between employees, developing leadership skills, and enhancing discipline in carrying out tasks, are essential for the continued development of a positive organizational culture. Furthermore, awareness of the importance of collaboration across organizational divisions must be instilled to create a more productive and efficient work environment.

Performance is the result of the work of individuals in carrying out the responsibilities given, which is greatly influenced by the factors of ability, experience, seriousness, and punctuality. Data from Cut Nyak Dhien Hospital shows a decrease in the performance of non-medical employees recorded by the personnel department every year. In 2019, the average employee performance was 87.8; However, the figure decreased to 86.2 in 2020, 85.5 in 2021, 84.0 in 2022, and 83.9 in 2023. This decline is suspected to be caused by a less effective leadership style and weak implementation of organizational commitments. This study aims to analyze the influence of leadership style and organizational commitment on the performance of non-medical employees at Cut Nyak Dhien Langsa Hospital in 2024. The method used is a descriptive quantitative approach with a cross-sectional research design. The population studied was 35 non-medical employees, all of whom were sampled. Data were analyzed using univariate, bivariate, and multivariate tests. The results showed that the majority of respondents assessed the leadership style at the hospital as not good (57.1%), low organizational commitment (60.0%), and poor performance (57.1%). Statistical tests showed that there was a significant influence between leadership style (p=0.001) and organizational commitment (p=0.002) on the performance of non-medical employees. Based on these findings, it is recommended that Cut Nyak Dhien Langsa Hospital implement a more democratic leadership style to improve the performance of non-medical employees. Additionally, it is important to strengthen the implementation of the organization's commitments by providing ongoing training and development, as well as creating a work environment that supports employees' active participation in decision-making. The implementation of policies based on collaboration and good communication between management and employees is expected to be able to create a more productive and harmonious work atmosphere, which is important to achieve organizational goals effectively.

Public service is an activity or a series of efforts to fulfill the service needs of the community. The public services received by the community come from the government's performance in providing services, which must be excellent and consistent. One of the public services in society is provided by Kader Surabaya Hebat, an organization that serves the community at the smallest level of government. Various issues arise, including workload, lack of training, and inadequate appreciation compared to the workload given. These factors contribute to problems such as work stress or burnout. The tendency for burnout or work stress can be experienced by public service workers due to high work pressure and job demands. Additionally, the work environment also significantly affects the emergence of burnout. Thus, the research problem raised in this study is how burnout affects the public service performance of Kader Surabaya Hebat in Tembok Dukuh Village, Surabaya City. The purpose of this research is to describe and analyze the effect of burnout on the public service performance of Kader Surabaya Hebat in Tembok Dukuh Village, Surabaya City. This study employs a descriptive research type with a quantitative approach and data analysis techniques using the Simple Linear Regression method. The results of this study indicate that burnout or work stress has a significant influence, with a strength of 83.4%, classified as very strong, and has a negative impact on the public service performance of Kader Surabaya Hebat in Tembok Dukuh.

This research aims to determine the influence of training variables (X1), work experience (X2), and work environment (X3) on employee performance (Y) at UD Rimang Decoration. This type of research is quantitative research. The data collection techniques used are primary data and secondary data. The sample selection used the saturated sampling method, the number of samples in the study was 35 respondents at UD Rimang Decoration. The analysis techniques used are Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, T Test, F Test and Coefficient of Determination Test. The results of the research obtained the multiple linear regression equation Y= 2.670 + 0.287X1 + 0.383X2 + 0.321X3 and the t test results of the variables training, work experience and work environment had a partially significant effect on employee performance with sig < 0.05. The F test results obtained Fcount results with a significance value of 0.000 < 0.05. From the results of the analysis it can be concluded that training, work experience and work environment have a partially significant effect on the performance of UD Rimang Decoration employees.