Authors:

Desak Putu Sri Wulandari, I Ketut Gede Suhartana

Abstract:

“Productivity level of garment employee classification aims to facilitate for companies to give appreciation to employees. In doing classification can use the Naïve Bayes Algorithm, which uses probability and statistical methods to predict opportunities base on experience. The classification of garment employees is categorized into three, namely low, medium, and high. The results of the classification of 1197 data employees, obtained 981 employees have high productivity, 190 employees with moderate productivity, 26 employees with low productivity. Evaluation on the classification obtained an accuracy value of 82.07% with a Root Mean Square Error (RMSE) value of 0,015731 which indicates that the classification carried out has a good classification model.”

Keywords

Keyword Not Available

Downloads:

Download data is not yet available.

References

References Not Available

PDF:

https://jurnal.harianregional.com/jnatia/full-92639

Published

2022-11-25

How To Cite

WULANDARI, Desak Putu Sri; SUHARTANA, I Ketut Gede. Klasifikasi Tingkat Produktivitas Pegawai Garmen Menggunakan Algoritma Naive Bayes.Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 1, p. 155-160, nov. 2022. ISSN 3032-1948. Available at: https://jurnal.harianregional.com/jnatia/id-92639. Date accessed: 08 Jul. 2024.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License