Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method. (July 2019)
- Record Type:
- Journal Article
- Title:
- Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method. (July 2019)
- Main Title:
- Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method
- Authors:
- Sihombing, Oloan
Hanoso, Giovani Ruth
Laia, Yonata
Maulana, Halim
Tamba, Saut Parsaoran
Nababan, Marlince N.K
Indra, Evta
Batubara, M Diarmansyah
Zendrato, Niskarto - Abstract:
- Abstract: Employees are one of the resources used as a means of movement in promoting a company. Employee performance is highly influential on the profits obtained by the company. Therefore, to stimulate employee performance in selecting outstanding employees each period by providing additional bonuses or salaries for selected employees. However, because the process of evaluating and selecting outstanding employees carried out by managers of Human Resource Development (HRD) still uses a conventional system and takes a lot of time, so a decision support system is needed to evaluate the performance of HRD managers to be more effective and efficient while saving time and energy compared to the current system. For this reason, the author proposes a decision support system and was used to determine outstanding employee by using the simple multi-attribute rating technique (SMART) method. The Decision Support System Application applies the SMART method to help decision maker to determinate the outstanding employee and based on the table above, it was concluded that the employee recommended as an outstanding employee is employee C with the highest final score of 66.20.
- Is Part Of:
- Journal of physics. Volume 1230(2019)
- Journal:
- Journal of physics
- Issue:
- Volume 1230(2019)
- Issue Display:
- Volume 1230, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 1230
- Issue:
- 1
- Issue Sort Value:
- 2019-1230-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-07
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1230/1/012076 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11885.xml