Proceedings of the International Joined Conference on Social Science (ICSS 2021)

Determining the Most Dominant Indicators of Employee Performance in KSP Artha Mulia Kediri with Multiple Linear Regression Methods

Authors
D. Kristanti1, *, E. Triwidyati2, R. L. Pangastuti3
123Faculty of Economics, Universitas Kadiri, Indonesia
*Corresponding author Email: desikristanti@unik-kediri.ac.id
Corresponding Author
D. Kristanti
Available Online 3 December 2021.
DOI
10.2991/assehr.k.211130.051How to use a DOI?
Keywords
Leadership; Work Environment; Motivation; Employee Performance
Abstract

KSP Artha Mulia is a savings and loan cooperative with many members scattered from all regions in Kediri. This study aimed to determine employee performance indicators at KSP Artha Mulia Kediri with multiple linear regression methods. The method used is quantitative. This population includes all 70 employees in KSP Artha Mulia. The sample in this study was employees who worked in the administration as many as 12 people—purposive sampling technique. And for the collection of data is used the questionnaire method. The analysis techniques in this study used t-test, multiple linear regression, and F-test. This study shows that several employee performance indicators, namely leadership, and motivation, positively and significantly affect KSP employee Artha Mulia Kediri. Meanwhile, the work environment has no significant impact on employee performance at KSP Artha Mulia Kediri. Of the three indicators that are the most dominant indicator is motivation.

Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the International Joined Conference on Social Science (ICSS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
3 December 2021
ISBN
978-94-6239-474-2
ISSN
2352-5398
DOI
10.2991/assehr.k.211130.051How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - D. Kristanti
AU  - E. Triwidyati
AU  - R. L. Pangastuti
PY  - 2021
DA  - 2021/12/03
TI  - Determining the Most Dominant Indicators of Employee Performance in KSP Artha Mulia Kediri with Multiple Linear Regression Methods
BT  - Proceedings of the International Joined Conference on Social Science (ICSS 2021)
PB  - Atlantis Press
SP  - 286
EP  - 289
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211130.051
DO  - 10.2991/assehr.k.211130.051
ID  - Kristanti2021
ER  -