Human Capital Management System Using Fishbone Analysis
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© 2020 by IJCTT Journal
Volume-68 Issue-9
Year of Publication : 2020
Authors : Agnes Christianty Suarta, Inge Handriani
DOI :  10.14445/22312803/IJCTT-V68I9P109

How to Cite?

Himanshu Thakur, Aman Kumar Sharma, "Supervised Machine Learning Classifiers: Computation of Best Result of Classification Accuracy," International Journal of Computer Trends and Technology, vol. 68, no. 9, pp. 61-68, 2020. Crossref, 10.14445/22312803/IJCTT-V68I9P109

Abstract
One of the important assets that cannot be separated from an organization, institution, or company is human resources. Human resources are also the key that determines the development of a company. Its human resources influence a company`s development because the human resources employed in the company are in the form of people as movers, thinkers, and planners. Some companies have problems managing employee data collection, attendance, and payroll. In recording attendance, the data is often inaccurate because additional data such as permits, leave, and assignments outside the office are often lost, so they are not recorded properly. Then there was an error in calculating salaries, which resulted in delays in recording and giving salaries. In addition, data collection on employees who are still irregular in storage so that they experience difficulties when requiring employee data. For handling these problems, solutions are made in the form of a Human Capital Management system that will assist companies in managing attendance data, employee data, and payroll processing. In addition, this study uses Fishbone analysis to help understand the problems that occur and the system`s needs. This system is expected to increase the effectiveness of checking and calculating attendance, the accuracy of sending employee salaries, the accuracy of employee data, minimizing the risk of data loss, and improving employee data performance. For handling these problems, solutions are made in the form of a Human Capital Management system that will assist companies in managing attendance data, employee data, and payroll processing. In addition, this study uses Fishbone analysis to help understand the problems that occur and the system`s needs. This system is expected to increase the effectiveness of checking and calculating attendance, the accuracy of sending employee salaries, the accuracy of employee data, minimizing the risk of data loss, and improving employee data performance. For handling these problems, solutions are made in the form of a Human Capital Management system that will assist companies in managing attendance data, employee data, and payroll processing. In addition, this study uses Fishbone analysis to help understand the problems that occur and the system`s needs. This system is expected to increase the effectiveness of checking and calculating attendance, the accuracy of sending employee salaries, the accuracy of employee data, minimizing the risk of data loss, and improving employee data performance.

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Keywords
Human Capital Management, Employees, Fishbone.