Comparison of the K-Means method with and without Principal Component Analysis (PCA) in predicting employee resignation

Detail Tugas Akhir

Comparison of the K-Means method with and without Principal Component Analysis (PCA) in predicting employee resignation

Binanto, Iwan and Tumanggor, Andrianto (2023) Comparison of the K-Means method with and without Principal Component Analysis (PCA) in predicting employee resignation. In: InCASST 2023 - The 1st International Conference on Applied Sciences and Smart Technologies, Fakultas Sains dan Teknologi, Universitas Sanata Dharma.

Berkas Tugas Akhir

PDF

Text
10867_e3sconf_incasst2024_02009-1.pdf

Ukuran File (3MB)

Informasi Item

Item Type	Conference or Workshop Item (Paper)
Subjects	T Technology > TB Information Technology
Divisions	Faculty of Science and Technology > Department of Informatics Engineering
Date Deposited	15 Jan 2024 06:59
Last Modified	15 Jan 2024 06:59
URI	https://repository.usd.ac.id/id/eprint/49410

Actions (login required)

: View Item

Repositori USDPerpustakaan Universitas Sanata Dharma

Sekretariat 0274-880137 Ext: 1538 628112652539 library@usd.ac.id

Telusur

Layanan

Informasi

Kampus 2Jl. Affandi, Mrican, Caturtunggal, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55281
PelayananSenin–Jumat, 07.30–21.00 WIB
Sabtu, 08.00–12.30 WIB
Libur kampus tutup.