Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal TIN: TERAPAN INFORMATIKA NUSANTARA
Barus, Ernita Br
Unknown Affiliation
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Pendukung Keputusan Pemilihan Best Employee Dengan Menerapkan Metode MABAC Barus, Ernita Br
TIN: Terapan Informatika Nusantara Vol 2 No 9 (2022): Februari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v2i9.1028

Abstract

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
Co-Authors