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


Authors

  • Jihan Nabilah Universitas Trilogi, Jakarta, Indonesia
  • Ade Syahputra Universitas Trilogi, Jakarta, Indonesia
  • Budi Arifitama Universitas Trilogi, Jakarta, Indonesia

DOI:

https://doi.org/10.30865/klik.v4i4.1704

Keywords:

Decision Support System; Weighted Product; Employee Performance

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

Downloads

Download data is not yet available.

References

M. Paais and J. R. Pattiruhu, “Effect of Motivation, Leadership, and Organizational Culture on Satisfaction and Employee Performance,” J. Asian Financ. Econ. Bus., vol. 7, no. 8, pp. 577–588, 2020, doi: 10.13106/JAFEB.2020.VOL7.NO8.577.

Y. Al-Jedaia and A. Mehrez, “The effect of performance appraisal on job performance in governmental sector: The mediating role of motivation,” Manag. Sci. Lett., vol. 10, no. 9, pp. 2077–2088, 2020, doi: 10.5267/j.msl.2020.2.003.

N. F. Shah, S. K. Pathan, and S. S. Shah, “Empirical analysis of the impact of Performance Appraisal System on employee’s productivity: A study of Pakistan Telecommunication Limited (PTCL): Non-managerial employees’ perspective,” J. Soc. Sci. Adv., vol. 3, no. 4, pp. 258–268, 2022, doi: 10.52223/jssa22-030408-54.

M. Yusoff, “Prioritizing Internal Marketing in Islamic Services Organization,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 11, no. 11, pp. 542–549, 2021, doi: 10.6007/ijarbss/v11-i11/11553.

M. M. Alasiri and A. A. Salameh, “The impact of business intelligence (BI) and decision support systems (DSS): Exploratory study,” Int. J. Manag., vol. 11, no. 5, pp. 1001–1016, 2020, doi: 10.34218/IJM.11.5.2020.092.

A. Putra Kusnadi, “Analysis And Design Of Web-Based Decision Support System With Simple Additive Weighting (SAW) And Weight Product (WP) Methods,” J. Algor, vol. 4, no. 2, pp. 120–129, 2023, doi: http://dx.doi.org/10.32493/informatika.v5i3.6777.

R. Yunitarini and E. Widiaswanti, “Decision Support System for Industry Machine Maintenance Using Weight Product (WP) Method,” TIERS Inf. Technol. J., vol. 3, no. 2, pp. 91–99, 2022, doi: 10.38043/tiers.v3i2.3880.

L. J. Satriani, H. A. Wulandari, P. N. Arifa, and I. Tahyudin, “Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse,” Internet Things Artif. Intell. J., vol. 2, no. 3, pp. 188–197, 2023, doi: 10.31763/iota.v2i3.567.

R. Ramadiani, S. Adithama, and M. L. Jundillah, “Selecting goldfish broods use the weighted product and simple additive weighting methods,” IAES Int. J. Artif. Intell., vol. 11, no. 4, pp. 1405–1413, 2022, doi: 10.11591/ijai.v11.i4.pp1405-1413.

A. Sinaga and D. Maulana, “Implementation of Weighted Product Method for Evaluating Performance of Technicians,” Int. J. Mod. Educ. Comput. Sci., vol. 14, no. 4, pp. 30–42, 2022, doi: 10.5815/ijmecs.2022.04.03.

C. P.K, C. Sivaji, A. Murugan, and M. Ramachandran, “Performance Analysis of Materials Selection Using Weighted Product Method (WPM),” J. Mater. its Charact., vol. 1, no. 1, pp. 38–45, 2022, doi: 10.46632/jmc/1/1/5.

Y. A. Fonga Wea Tae, R. Y. Kalaway, and P. A. R. Leo Lede, “Application of the Weighted Product Method in a Decision Support System to Determine Children’s Multiple Intelligence,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 16, no. 3, p. 251, 2022, doi: 10.22146/ijccs.70810.

A. K. Yazdi, T. Hanne, and J. C. Osorio Gómez, “Evaluating the performance of colombian banks by hybrid multicriteria decision making methods,” J. Bus. Econ. Manag., vol. 21, no. 6, pp. 1707–1730, 2020, doi: 10.3846/jbem.2020.11758.

D. Saputra, Kudiantoro Widianto, Tyas Setiyorini, and I. Alfarobi, “Decision Support System for Cloud Computing Service Selection Using the Weighted Product Method,” Int. J. Sci. Technol. Manag., vol. 2, no. 1, pp. 78–92, 2021, doi: 10.46729/ijstm.v2i1.103.

S. Lv, “Real Estate Marketing Adaptive Decision-Making Algorithm Based on Big Data Analysis,” Secur. Commun. Networks, vol. 2022, no. 1, pp. 1–11, 2022, doi: 10.1155/2022/3443182.

H. Sari and R Mahdalena Simanjorang, “Electronic Credit and Furniture Decision Support Systems Using the Weighted Product Method,” Int. J. Basic Appl. Sci., vol. 10, no. 1, pp. 28–37, 2021, doi: 10.35335/ijobas.v10i1.5.

W. Xu and K. Zammit, “Applying Thematic Analysis to Education: A Hybrid Approach to Interpreting Data in Practitioner Research,” Int. J. Qual. Methods, vol. 19, no. 1, pp. 1–9, 2020, doi: 10.1177/1609406920918810.

M. ?ahin, “A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy,” Int. J. Environ. Sci. Technol., vol. 18, no. 6, pp. 1591–1616, 2021, doi: 10.1007/s13762-020-02922-7.

S. D. Putra, R. I. Borman, and G. H. Arifin, “Assessment of Teacher Performance in SMK Informatika Bina Generasi using Electronic-Based Rating Scale and Weighted Product Methods to Determine the Best Teacher Performance,” Int. J. Informatics, Econ. Manag. Sci., vol. 1, no. 1, p. 55, 2022, doi: 10.52362/ijiems.v1i1.693.

S. Zeng, Y. Hu, T. Balezentis, and D. Streimikiene, “A multi-criteria sustainable supplier selection framework based on neutrosophic fuzzy data and entropy weighting,” Sustain. Dev., vol. 28, no. 5, pp. 1431–1440, 2020, doi: 10.1002/sd.2096.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Penilaian Kinerja Tenaga Pemasaran Untuk Menentukan Reward dan Benefit dengan Menggunakan Metode Weighted Product

Dimensions Badge

ARTICLE HISTORY


Published: 2024-02-28
Abstract View: 295 times
PDF Download: 303 times

How to Cite

Nabilah, J., Ade Syahputra, & Budi Arifitama. (2024). Penilaian Kinerja Tenaga Pemasaran Untuk Menentukan Reward dan Benefit dengan Menggunakan Metode Weighted Product . KLIK: Kajian Ilmiah Informatika Dan Komputer, 4(4), 2262-2271. https://doi.org/10.30865/klik.v4i4.1704