KLIK: Kajian Ilmiah Informatika dan Komputer
Vol. 4 No. 4 (2024): Februari 2024

Penilaian Kinerja Tenaga Pemasaran Untuk Menentukan Reward dan Benefit dengan Menggunakan Metode Weighted Product

Nabilah, Jihan (Unknown)
Ade Syahputra (Unknown)
Budi Arifitama (Unknown)



Article Info

Publish Date
28 Feb 2024

Abstract

Employees are one of the most important assets a company has in its efforts to sustain its business. In this regard, employee management and employee performance assessment are very important to measure human resource management governance in order to achieve the company's goals, vision and mission. Many employees are affected by one individual whose performance declines. As a result, it will also affect the performance of a company. To maintain the performance of the company and employees, namely by providing the best rewards and benefits. Determining rewards and benefits must go through a work assessment or evaluation process. Therefore, it is necessary to analyze employee performance using the Weighted Product method. This method is able to complete employee performance analysis supported by historical data such as achievement, absenteeism, honesty, communication and cooperation. In this research, we try to find criteria that can be used to provide value to employee performance. In addition, a system will be designed that can speed up the provision of value to employees in the form or design model in the form of a Decision Support System (DSS), with the hope that the process or mechanism for providing value to employee performance will run more quickly and precisely. This increasing PT XYZ  productivity and supporting the company's future development. It is hoped that the results of this research can help provide solutions regarding rewards and benefits for PT XYZ employees according to their performance

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Journal Info

Abbrev

klik

Publisher

Subject

Computer Science & IT

Description

Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan ...