The Measurement of Worker's Mental Health Using Logistic Model: A Case of Bogor Regency

Abstract

During the outbreak of the Covid-19 Pandemic, many countries decided to close public places, including factories, workplaces, and schools to prevent the spread of the Novel coronavirus. Many companies were required to implement working from home (WFH) or remote working as a temporary and alternative working arrangement for their workers. Many workers find some challenges in adapting to WFH arrangements, such as limited access to the internet and electronic devices and the paperwork was not digitalized. Some workers also face physical and mental health issues while working remotely due to increased workload and long working hours for joining online meetings. However, many studies showed that WFH could make workers more productive since it provides more time to rest, reduces work-related stress and improves work-life balance. The research aims to analyze the impact of remote working arrangements on the workers’ mental health by assessing the level of Depression of workers during the Covid-19 Pandemic. The level of Depression will be measured by the Center for Epidemiologic Studies Depression Scale (CESD-10) measurement. The data was collected from respondents who worked from home in Bogor regency, and then data will be examined through tabulation data and a logistic model. The result found that the remote working arrangements have no impact on depression symptoms, even though many respondents prefer to have WFH because it saves commuting and transportation cost. Therefore, the companies are suggested to provide working guidelines and procedures during WFH and support for workers to maintain productivity and achieve company goals and objectives while safeguarding the safety and health of workers