Treffer: A ANALISIS KINERJA PEGAWAI MENGGUNAKAN ALGORITMA K-MEANS PADA DINAS PENDIDIKAN DAN KEBUDAYAAN KABUPATEN BENGKULU TENGAH

Title:
A ANALISIS KINERJA PEGAWAI MENGGUNAKAN ALGORITMA K-MEANS PADA DINAS PENDIDIKAN DAN KEBUDAYAAN KABUPATEN BENGKULU TENGAH
Source:
JURNAL MEDIA INFOTAMA; Vol 17 No 2 (2021) ; 2723-4673 ; 1858-2680 ; 10.37676/jmi.v17i2
Publisher Information:
UNIVED Press
Publication Year:
2021
Collection:
Universitas Dehasen Bengkulu: Jurnal UNIVED
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
DOI:
10.37676/jmi.v17i2.1639
Rights:
Copyright (c) 2021 Liza Yulianti, Jhoanne Fredricka ; http://creativecommons.org/licenses/by-sa/4.0
Accession Number:
edsbas.E3514129
Database:
BASE

Weitere Informationen

The Central Bengkulu Regency Education and Culture Service is a government agency in Central Bengkulu Regency, Bengkulu Province. Performance assessment using a predetermined form. Every year an employee performance evaluation will be carried out to make decisions and consideration in determining the performance obtained by the employee. The criteria for evaluating employee performance at the Central Bengkulu Regency Education and Culture Service are Service Orientation, Integrity, Commitment, Discipline, Cooperation and Leadership. The employee performance application at the Central Bengkulu Regency Education and Culture Service was created using the Visual Basic .Net programming language and SQL Server 2008 Database. The grouping of employee data is based on the results of performance assessments that have been carried out, namely assessment orientation, integrity, commitment, discipline, cooperation and leadership. The results of grouping employee performance assessment data showed that the number of employees in the high cluster (Cluster I) was 22% and the number of employees in the low cluster (Cluster II) was 82%. The functionality of the application is running well and the application can help the Central Bengkulu Regency Education and Culture Office in knowing the performance of its employees based on 2 groups, namely the high cluster and the low cluster.