Research Library

open-access-imgOpen AccessSistem Pendukung Keputusan Pemilihan Best Employee Dengan Menerapkan Metode MABAC
Ernita Br Barus
Publication year2022
Publication title
tin: terapan informatika nusantara
This study aims to identify and evaluate the existing assessment system/procedure and to produce a decision support system for selecting the best employee based on employee performance at PT Smart Glove Indonesia. The selection of the best employees at this time is based on the leadership's personal assessment with reference to the criteria of knowledge, responsibility, cooperation, discipline, and employee attendance which results in irrelevant decisions due to lack of control from the leadership. This system was developed using the multi-attributive border approximation area comparison (MABAC) method using MySQL programming and Microsoft Visual Basic Net 2008. This information system can be used to process employee data in the employee evaluation process and selecting the best employees. The output of this system is the calculation value of the best employee selection at PT Smart Glove Indonesia using the multi-attributive border approximation area comparison (MABAC) method and the best employee recommendation for PT Smart Glove Indonesia
Subject(s)attendance , attributive , business , computer science , economic growth , economics , knowledge management , linguistics , microsoft excel , operating system , philosophy , process (computing)

Seeing content that should not be on Zendy? Contact us.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here