CLUSTERING KUALITAS KINERJA PEGAWAI PADA NARUNA CAFE & RESTO MENGGUNAKAN ALGORITMA K-MEANS
DOI:
https://doi.org/10.37792/jukanti.v6i2.960Keywords:
Algoritma K-means, Klastering, RapidMinerAbstract
The employee appraisal system at Naruna Cafe and Resto uses conventional, manual-based appraisal methods which are carried out subjectively by the direct supervisor without a clear evaluation framework so that the appraisal process is often not transparent and lacks objectivity, which causes dissatisfaction and injustice among employees. Clustering techniques can be used as an employee assessment to be more objective, consistent, and based on measurable data. This study aims to apply the K-Means Clustering method, as well as use the K-means algorithm to make it easier to perform calculations, after which the researcher performs processing using RapidMiner to obtain results on the performance quality assessment of Naruna Cafe and Resto employees. This study uses quantitative research methods and collects data based on the quality of employee performance as an object of research. This study produced clusters with very satisfactory work quality of as much as 1 data, clusters with satisfactory work quality of as many as 3 data, clusters with quite satisfactory work quality of as much as 4 data, clusters with unsatisfactory work quality of as much as 1 data, and clusters with unsatisfactory work quality as much as 5 data. From the data processing that has been done, it can be concluded that this research has succeeded in creating a quality group of employee performance at Naruna Cafe and Resto that can be used to view employee performance.
Downloads
References
Brahmana, dkk. (2014). Pengaruh kualitas layanan dan kualitas produk terhadap kepuasan pelanggan dan loyalitas konsumen restoran happy garden Surabaya. Jurnal Manajemen Pemasaran, 2(1), 1-9
Reisandi, I., Daryana, Mulyati, F.S., & Fauzi, M. (2021). Implementasi Clustering K-Means terhadap penilaian kinerja karyawan PT XYZ. Jurnal Sosial dan Teknologi, 1(8), 757-767
F. H. Masruroh, S. Setiyowati, A. B. Hartono. (2020). The Implementation of Employee Performance Assessment using Clustering Analysis in PT ABC." Journal of Information Systems Engineering and Business Intelligence, 6(2)
Nasution, Y.R. & Eka, M. (2018). Penerapan algoritma K-Means clustering pada aplikasi menentukan berat badan ideal. ALOGARITMA: Jurnal Ilmu Komputer dan Informatika, 2(1), 77-81
Dhuhita, Windha. (2015). Clustering menggunakan metode k-means untuk menentukan status gizi balita. Jurnal Informatika, 15(2), 163
Oktara, P., Yulianti, L., & Fredricka, J. (2021). Analisis kinerja pegawai menggunakan alogaritma k-means pada dinas pendidikan dan kebudayaan kabupaten Bengkulu Tengah. Jurnal Media Infotama, 17(2)
Dewi, N.L.P.P., Purnama, I.N., & Utami, N.W. (2022). Penerapan data mining untuk clustering penilaian kinerja dosen menggunakan alogaritma k-means (studi kasus: STMIK Primakara). Jurnal Ilmiah Teknologi Informasi Asia, 16(2), 105-112
Muningsih, E. & Kiswati, S. (2015). Penerapan metode K-Means untuk clustering produk online shop dalam penentuan stok barang. Jurnal Bianglala Informatika, 3(1), 10-17
Regina, S., Sutinah, E., & Agustina, N. (2021). Clustering kualitas kinerja karyawan pada perusahaan bahan kimia menggunakan algoritma k-means. Jurnal Media Informatika Budidarma, 5(2), 573-582
P. Aruna, P. Aruna Kumari, R. Divakar. (2016). Evaluation of Clustering Algorithms in RapidMiner: A Comparative Study. International Journal of Emerging Trends in Engineering Research, 4(9)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Jurnal Pendidikan Teknologi Informasi (JUKANTI)
This work is licensed under a Creative Commons Attribution 4.0 International License.
JUKANTI Journal License
JUKANTI (Jurnal Pendidikan Teknologi Informasi) is committed to supporting open access and the dissemination of scholarly knowledge. All articles published in JUKANTI are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Creative Commons Attribution 4.0 International License (CC BY 4.0)
Under this license, users are permitted to read, download, copy, distribute, print, search, link to, remix, transform, adapt, and build upon the published work for any lawful purpose, including commercial purposes, provided that appropriate credit is given to the original author(s) and the original publication in JUKANTI, a link to the license is provided, and any changes made are indicated.
Author Rights
Authors retain the copyright of their articles and grant JUKANTI the right of first publication. Authors are also permitted to deposit and share the published version of their articles in institutional repositories, subject repositories, personal websites, and academic networks, provided that the original publication in JUKANTI is properly cited and linked.
Author Obligations
Authors publishing with JUKANTI are responsible for ensuring that their work is original, does not infringe any copyright, and complies with applicable ethical and legal standards. Authors must obtain permission for any third-party material included in their manuscript when required.
License Information
License: Creative Commons Attribution 4.0 International License (CC BY 4.0)
License URL: https://creativecommons.org/licenses/by/4.0/
Commitment to Open Access Standards
JUKANTI is committed to maintaining transparent editorial policies, clear licensing terms, and open access publishing practices in accordance with international scholarly publishing standards.
For further questions or clarifications regarding this license, please contact the JUKANTI editorial office at edu@ucb.ac.id
