Designing a Key Performance Indicator Application for Sales Performance Evaluation Using the Web-Based ROC Method (Case Study of PT. Valve Automation Indonesia)

Authors

  • Adam Panji Maulana Universitas Pamulang
  • Sri Mulyati Universitas Pamulang

DOI:

https://doi.org/10.59934/jaiea.v5i3.2377

Keywords:

Key Performance Indicator, Rank Order Centroid (ROC), Sales Performance Evaluation, Web Application

Abstract

Sales performance assessment is an important aspect in human resource management because it directly influences the achievement of company targets. At PT. Valve Automation Indonesia, KPI weighting is determined by managers based on personal assessments, this causes weight imbalances when adding or reducing assessment parameters. This study aims to design and implement a web-based Key Performance Indicator (KPI) application with the Rank Order Centroid (ROC) method to determine the weight of criteria based on the order of importance so as to produce a more objective and proportional weighting. The assessment criteria used include Absence, Sales Revenue, New Customers, Payment Collection, Visit Customers, and Follow Up Progress. This application was developed through the stages of needs analysis, design, implementation, and testing. This application shows that it is able to calculate KPI values automatically, generate sales performance rankings, and assist managers in making decisions more effectively and efficiently.

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Published

2026-06-09

How to Cite

Adam Panji Maulana, & Sri Mulyati. (2026). Designing a Key Performance Indicator Application for Sales Performance Evaluation Using the Web-Based ROC Method (Case Study of PT. Valve Automation Indonesia). Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(3), 4118–4125. https://doi.org/10.59934/jaiea.v5i3.2377

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