scholarly journals A Novel Data Cluster Algorithm Based on Linear Regression And Residual Analysis for Human Resource Management

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Hengxiaoyuan Wang
Author(s):  
Hengxiaoyuan Wang

Human resource management has become an important part of enterprise management. How to select high-quality talents and how to allocate corresponding talents to appropriate works have become an increasingly acute problem. Traditional data cluster methods cannot effectively solve the above problem due to the high-dimensional data. Therefore, we propose a novel data cluster algorithm based on linear regression and residual analysis for Human Resource Management. Improved hybrid entropy weight attribute similarity is adopted for measuring the similarity between objects. The proposed local density calculation method based on KNN and Parzen window is used to calculate the density of each object. Then, we utilize the linear regression and residual analysis to select the clustering center points quickly and automatically, which can eliminates the subjectivity of artificial selection. A new clustering center objective optimization model is proposed to determine the real clustering center. Through theoretical analysis and comparative experiments on artificial data sets and real data sets, it shows that the proposed cluster algorithm can overcome the defects of the original algorithms, and achieve better clustering effect and lower computation time than state-of-the-art methods.


2019 ◽  
pp. 47-59
Author(s):  
Betniar Purba

The purpose of this study was to find out and analyze the effect of giving incentives on employee performance at PT. Deli Kencana Palace Medan, for the development of science, especially in the field of human resource management, as a reference in conducting further research for the development of science, especially in the field of human resource management, as a reference in conducting further research. The research population is incentives and the number of vehicles serviced by employees of PT. Deli Kencana Palace Medan from 1983-2016. The research sample was taken in 2016. The data collection techniques used were documentation techniques. The data analysis technique used is simple linear regression. From the results of the research and discussion obtained a simple linear regression equation is Y = 515,462 + 0,033X. That is, giving incentives has a positive effect on employee performance at PT. Medan Deli Kencana Palace. This can be seen from the regression coefficient which is positive. The value of the correlation coefficient (R) is 0.693, meaning that giving incentives has a fairly strong and positive relationship to the performance of employees at PT. Medan Deli Kencana Palace. The determinant coefficient (R2) is 0.481. That is, employee performance can be explained by giving incentives of 48.1% while 51.9% is explained by other factors. Judging from the z test, the z calculated value is 7.574 with a significance level of 0.000


2017 ◽  
Vol 23 (1) ◽  
pp. 52-63
Author(s):  
Titik Nurbiyati

Human resource management (HRM) is a recognition of the importance of human labor as vital resources that contribute to the goals of the organization, and utilization of multiple functions and activities to ensure that they are used effectively and fairly for the benefit of individuals, organizations, and society. Now human resource management has a unique and timely opportunity to improve productivity. Eventhough, productivity improvement does not means only increase the output. In addition, the evaluation of program responsibles and meets the special needs of employees with efficient cost. It is a very effective manner that very important, as organizations are tempted to cut costs and improve quality in their company. Without evaluation, it is very difficult to demonstrate that the development is the reason for the improvement. Human Resources Development can maintain and support productivity, as well as company isolate of lack of expertise of the human resources for the current job and future. The results are used in evaluating development programs include participant satisfaction with the training and development program development, learning knowledge or skills, the use of knowledge and skills on the job, and the results such as sale, productivity, or the prevention of accidents. Evaluation can also compare costs against benefits that receive development (return on investment).


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