Distortion Data Validation Recipients of Aid Contribution of National Health Insurence (PBI-JKN) (Case Study In Ambulu Sub District In Jember)

The issue regarding a composite of accurate data for Recipients of Aid of National Health Insurance often gets the spotlight. The process of implementing data collection of these beneficiaries is still considered to be lacking maximum, that many citizens in Indonesia still have not received their social security rights fairly and transparently. In this study the juridical basis used were Law Number 40 of 2014 concerning to SJSN, Government Regulation Number 101 of 2012 concerning to Contribution Beneficiary (PBI), Presidential Regulation Number 12 of 2013 concerning to Health Insurance and JKN Roadmap and Decree of the Minister of Social Affairs Number 146/HUK/2013 concerning to the determination of criteria for the poor. This research aimed to describe and analyze the implementation of PBI-JKN data verification and validation. And to identify the cause of low accuracy of the data generated in the implementation of PBI-JKN data verification and validation. The research method used qualitative methods with descriptive data, and the data collection techniques were in-depth interviews, observations and documents. The technique of determining informants used a purposive method and in its development the snowball method was used to get more information accurate. Data analysis methods include data reduction, data presentation and conclusion/verification. The conclusion of this study showed as follows; First, the implementation of PBI-JKN data verification and validation were not running optimally. Second, the issue of the availability of Human Resources, verification and socialization data validation was still lacking, and budget support was not proportional. Third, there were elements of political or sector ego among executors. Fourth, there was still a lacking timeliness of implementers in giving the latest data with various kinds of problems in the field.