Competency-based Training Analysis in Increasing Self-efficacy and Self-confidence Indonesian Migrant Workers in South Korea (Study on Workers of Fishery and Marine Sector)
Year: 2024
Type: article
Study design: Observational Study
Abstract: Employment cases of Indonesian Migrant Workers abroad are still high. Various training and skills provisions have not contributed to the success of Indonesian Migrant Workers in the placement country as expected. This study aims to analyze the implementation of competency-based training that has been implemented in Indonesia, measure the level of self-efficacy, and measure the level of self-confidence of Indonesian Migrant Workers in the marine and fisheries sector in South Korea. The unit of observation in this research is 40 people who have participated in competency-based training and after placement in South Korea, they were given a questionnaire, and interviewed in groups both directly in the South Korean placement country and through online media. This study utilized primary data obtained from the results of questionnaires, interviews, and observations and secondary data in the form of documentation and archives. The data were then analyzed using descriptive statistical data analysis. The results show that the implementation of competency-based training in Indonesia to prepare migrant workers in the fisheries and marine sector for South Korea is considered sufficient, including social, technical, managerial, and non-unit competency units. In addition, the level of self-efficacy of the workers is classified as very high as measured by the dimensions of level, generality, and strength, and the level of self-confidence is classified as high as measured by ability, enthusiasm, and satisfaction. Keywords: fisheries and marine, migrant workers, competency training, self-efficacy, self confidence
Source: KnE Social Sciences
Institution: Bandung Islamic University
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4401620988