Integrasi Jamkesda dalam JKN Bagi PBI di Kota Blitar dan Kota Malang
The National Health insurance (JKN) appropriate road map is expected in 2016, all Jamkesda for the poor has been integrated in the JKN system. This study aims to investigate the implementation of Jamkesda (District Health Insurance) integration into the National Health Insurance implemented in the city. It was an observational study with a cross-sectional design, carried out in the city of Blitar and Malang in 2015. The respondents were related areas Jamkesda participation in City Health office, Social Services, BPJS and Local Government (Bappeda, BPKAD, Welfare). Data were collected by in-depth interviews, focus group discussions, and secondary data on participation and policy documents. Integration process of membership Jamkesda into the system of JKN for PBI(Recipient of Contribution Subsidy) has been supported by the local regulations in the decree of the Mayors for determination of PBI participants and Cooperation Agreement BPJS withMunicipal Government. Membership ofcentral PBI in Blitar City (25,266 people) and Malang city (106,902), while district PBI in Blitar results integration of Jamkesda (8,508 people) and Malang (20,190 inhabitants). Integration of membership Jamkesda to JKN system for PBI has been implemented by the region in a different ways, both in terms of setting criteria, verification and validation of implementing institutions of the participants, the addition and reduction participant data, distributing the card and premium payment. Some of the constraints experienced by stakeholders in the integration Jamkesda include constraints in the membership management, limited human resourcesand budget, technical verification and system validation poor people and information system BPJS still new. The integration membership Jamkesda to JKN system has been implemented fairly well in accordance with the conditions in their respective areas. It needs a legal basis and Guidelines of Integration Implementation Jamkesda to JKN system, which may be a valid inference thus reducing inaccuracies in the implementation.