Abstract:

This study is intended to determine the importance of competency certification for Indonesian migrant workers at PT. KaryaSemesta Sejahtera after the issuance of Law Number 18 Year 2017 concerning the Protection of Indonesian Migrant Workers (IMW). The method used is a descriptive qualitative approach using the Context, Input, Process, and Product (CIPP) Evaluation Model developed by Stufflebeam. Data collection techniques using observation, interviews, Guided Group Discussion and documentation. Data analysis techniques in this study used an interactive analysis model. The results of this study indicate that the implementation of the competency certification policy of Indonesian migrant workers has not been running optimally. In terms of context, there is an inadequate running of the education, training and competency testing system to all prospective Indonesian migrant workers because there are still prospective Indonesian migrant workers who are illegal, ineffective supervision. From the input side, it turns out that the government vocational training center has not yet carried out education, training and competency tests for Indonesian migrant workers. Likewise, private vocational training centers have not fully carried out education, training and competency testing in accordance with the provisions. From the aspect of the process, it turns out that not all private vocational training centers carry out the provisions in terms of material, time, etc. In terms of results, apparently not all recipient countries (users) appreciate the competency certification of Indonesian migrant workers. As a result of the foregoing, there are still many violations of labor norms. The policy on competency certification of Indonesian migrant workers needs to improve in terms of law enforcement, cooperation between units and between agencies, increase cooperation with recipient countries or users of Indonesian migrant workers, increase the quantity and quality of vocational training centers and their instructors and assessors.

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