Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method

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.

Sistem Pendukung Keputusan Penerimaan Siswa Baru Menggunakan Metode SMART

“…Borissova dkk menggunakan SMART untuk mengembangkan tools E-Learning dalam sistem pengambilan keputusan, yang menurutnya, sangat dinamis sehingga memerlukan metode kuantitatif berbasis analisa regresi one-factor [17]. SMART yang dapat diaplikasikan untuk banyak kasus sistem pengambilan keputusan ini lantas digunakan oleh Wahana dkk untuk menentukan pertumbuhan balita [18], digunakan oleh Sihombing dkk dan Setiawan dkk untuk menentukan tingkat Key Performance Index karyawan [19], [20], digunakan oleh Mahdiana dkk dan Putra dkk untuk menentukan pengajar terbaik berdasarkan prestasi [21], [22], bahkan digunakan oleh Tangkesalu untuk menentukan perankingan antar bisnis startup terbaik [23].…”

Permanent Employee Assessment Decision Support System using the Simple Multi Attribute Rating Technique (SMART) Method

“…Borissova et al used SMART to develop E-Learning tools in decisionmaking systems, which, according to him, are very dynamic and require quantitative methods based on one-factor regression analysis [11]. SMART, which can be applied to many cases of this decision making system, was then used by Wahana et al to determine the growth of toddlers [12], used by Sihombing et al and Setiawan et al to determine the level of employee Key Performance Index [13], [14], used by Mahdiana et al and Putra et al to determine the best teachers based on achievements [15], [16], even used by Tangkesalu to determine the ranking of the best startup businesses [17].…”