Analysis of Social Security Claims Data for Strategic Decision Making at BPJS Ketenagakerjaan Juanda
DOI:
https://doi.org/10.61132/ijema.v3i2.1253Keywords:
Analysis, Job Loss Insurance, Manajerial, Periodic Pension Benefits, StrategicAbstract
Through a number of social programs, BPJS Ketenagakerjaan plays a significant role in providing social protection for workers in Indonesia. The large volume of claims submitted by participants generates valuable data that can be utilized as a source of knowledge in the decision-making process. The purpose of this study is to examine social security claim data from the Juanda Branch of BPJS Ketenagakerjaan in 2025 and determine how it can be used to inform strategic decision-making. This study employs a quantitative descriptive methodology using secondary data in the form of claim payment summaries. The analyzed programs include Old-Age Security (JHT), Work Accident Insurance (JKK), Death Benefit Insurance, Periodic Pension Benefits (JP Berkala), Lump-Sum Pension Benefits (JP Lumpsum), and Job Loss Insurance (JKP). The findings indicate that claim patterns across these programs provide important insights into workforce risk distribution and benefit utilization trends. Such information can support BPJS Ketenagakerjaan in improving service efficiency, financial planning, and policy formulation to enhance the effectiveness of social security delivery.
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