3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Analysis of Employee Competence and Job Satisfaction at The General Election Supervisory Agency (BAWASLU) during the Covid-19 Pandemic

Sintia Lorenza & Muji Gunarto
Publisher: IEOM Society International
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Track: Master Thesis Competition
Abstract

During the Covid-19 pandemic that hit various parts of the world, it had an impact on various changes felt by various fields, especially government employess. There are employees who work from home (WFH) employees experience a variety of boredom and decreased level of satisfaction. This study aims to prove the effect of training and job satisfaction competencies with incentives as moderating variables. Respondents ini this study were employees at Badan Pengawas Pemilihan Umum (Bawaslu) spread over 17 districts or cities ini South Sumatera Province, Indonesia. The sampling technique used is systematic random sampling which begins with selecting 9 districts/cities then a random sample of 150 employees was taken from the total population of 181 employees. Data collection techniques using closed questionnaires or google form, observation, and interviews. The data analysis technique was carried out using the Structural Equation Model (SEM). The results of the study show that training has a positive effect on increasing competence and employee job satisfaction. Competence has a positive effect on job satisfaction. Incentives as moderating variables have an impact on increasing the relationship between training and job satisfaction. Training conducted by employees has a positive impact on employee job satisfaction, however, if incentives are given to employees, job satisfaction will increase. This is certainly an incentive for institutions or organizations to not only provide training assignments, but the need for incentives for training participants.

Published in: 3rd Asia Pacific International Conference on Industrial Engineering and Operations Management, Johor Bahru, Malaysia

Publisher: IEOM Society International
Date of Conference: September 13-15, 2022

ISBN: 978-1-7923-9162-0
ISSN/E-ISSN: 2169-8767