Open AccessAPPLICATION OF PROFILE MATCHING ALGORITHM IN SELECTION OF THE BEST EMPLOYEES (CASE STUDY: PT VWX)
Author(s) -
Laeli Nurchasanah,
Annisa Cintakami Firdaus,
Desti Fitriati
Publication year - 2022
Publication title -
jurnal riset informatika
Language(s) - English
Resource type - Journals
eISSN - 2656-1743
pISSN - 2656-1735
DOI - 10.34288/jri.v4i2.308
Subject(s) - matching (statistics) , benchmark (surveying) , work (physics) , order (exchange) , business , best practice , selection (genetic algorithm) , employee engagement , property (philosophy) , marketing , computer science , management , engineering , mathematics , economics , statistics , finance , artificial intelligence , mechanical engineering , philosophy , geodesy , epistemology , geography
Giving awards to employees who have advantages and good work performance is one way to increase positive competitiveness among employees in a company. This study aims to find the advantages of each employee to find out which employees excel. Through achievements in the world of work, it can be a benchmark for finding the best employees who deserve awards. Analysis of the data used in this study is sourced from data on sales of property companies for the last three months. This study uses the Profile Matching Method to determine the best employees in property companies. This research was conducted by comparing one employee with another employee candidate based on predetermined criteria. The results of this study are in the form of rankings that show the order of the best employees who are entitled to an award from the company.