Penerapan Metode Weighted Product (WP) Dalam Keputusan Rekomendasi Pemilihan Manager Penjualan


  • Chairul Rizal Universitas Pembangunan Panca Budi, Medan, Indonesia
  • Saidi Ramadan Siregar * Mail Universitas Budi Darma, Medan, Indonesia
  • Supiyandi Supiyandi Universitas Pembangunan Panca Budi, Medan, Indonesia
  • Selly Armasari Universitas Budi Darma, Medan, Indonesia
  • Abdul Karim Universitas Budi Darma, Indonesia
  • (*) Corresponding Author
Keywords: The Best Employee; Recommendation; Weighted Product; DSS

Abstract

The best employees are very important assets for the company, because of that sales companies need a system that can choose the best employees objectively and optimally so that they are right in choosing the best employees who will have an impact on the progress of the company. To be able to solve the problem the author conducted research using a Decision Support System using the Weighted Product (WP) method. The WP method is part of the Multiple Attribute Decision Making (MADM), which requires a normalization process to be calculated. This method in detail calculates the weight of the value of each criterion. The final result of the research shows that the 10th alternative (A10) with a Preference Value of 0.1120 was chosen to be the best employee recommended in the selection of sales manager

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Article History
Submitted: 2021-12-20
Published: 2021-12-31
Abstract View: 22 times
PDF Download: 8 times
How to Cite
Rizal, C., Siregar, S., Supiyandi, S., Armasari, S., & Karim, A. (2021). Penerapan Metode Weighted Product (WP) Dalam Keputusan Rekomendasi Pemilihan Manager Penjualan. Building of Informatics, Technology and Science (BITS), 3(3), 312-316. https://doi.org/10.47065/bits.v3i3.1094
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