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Harianta Sembiring
Program Studi Sistem Informasi, STMIK Kristen Neumann Indonesia, Jl. Jamin Ginting KM 10,5 Medan
Computer Science & IT

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Analysis of AHP and SAW Methods in a Decision Support System for Determining Employee Positions Harianta Sembiring
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.462 KB)

Abstract

Employees are an important asset for every company, because they greatly affect many aspects that determine the success of the company's work. A company will be able to run all its business processes well if all its employees can be well organized by the HR (Human Resources) section. Placement and utilization of resources in the right position is absolutely necessary. In this case, proper management and utilization of resources plays a very important role because it is a strategic approach to improving organizational performance. Determination of employee positions is still not effective because the job analysis in the employee placement section is not carried out properly so that employees do not know for sure the work he is doing in the company. In addition, many employees are not experts in the field of work they hold so that what they do on a daily basis is not in accordance with their abilities. From the results of the study, it can be concluded, among others: The application of a decision support system that was built can provide convenience and minimize errors that may occur in the process of determining employee positions. criteria for determining employee positions. The level of accuracy of the test results is 97%.
DECISION SUPPORT SYSTEM FOR PROVIDING WORK ALLOWANCES AND PUNISHMENTS TO EMPLOYEES USING THE AHP AND SMART METHOD Berti Sari Br Sembiring; Mahdianta Pandia; Fransisca Br Sebayang; Harianta Sembiring
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.121 KB)

Abstract

From the results of the study it can be concluded, among others: The decision support system that was built was very helpful to speed up data processing in decision making for the provision of work benefits and punishments to employees. The SMART method is a suitable method to be applied in decision making by sharing alternatives, especially determining the provision of work benefits and punishments to employees quickly and precisely. The level of accuracy of the test results using the SMART method is 100%. The decision support system application that is built is dynamic in terms of determining criteria and weighting. So, it can be changed according to the needs of the company in providing work benefits and punishments
Co-Authors Berti Sari Br Sembiring Fransisca Br Sebayang Mahdianta Pandia