<![CDATA[Youth unemployment continues to be a significant challenge in Indonesia, reflecting structural constraints in labour market absorption and regional disparities. This study aims to analyse youth unemployment trends and provincial differences using a Business Intelligence (BI) dashboard approach based on data from the National Labour Force Survey (SAKERNAS) covering 38 provinces during the period 2021–2025. The analysis integrates trend observation and comparative benchmarking to evaluate temporal dynamics and provincial performance relative to the national average. The results indicate that youth unemployment exhibits fluctuating patterns without sustained improvement. At the provincial level, significant disparities are observed, with several provinces such as Maluku, Banten, Aceh, and Jawa Barat consistently recording higher unemployment rates compared to the national benchmark and there is a total of 22 provinces identified as high-risk regions. From this study, the implementation of the BI dashboard enables to integrate the multiple analytical perspectives into a single interface, facilitating clearer interpretation of trends, regional differences, and priority areas. This study contributes by demonstrating how BI-based analytical approaches can enhance the interpretation of labour market data and support data-driven decision-making. The findings highlight the importance of region-specific strategies in addressing youth unemployment, as national-level policies may not adequately capture local dynamics.]]>
