<![CDATA[The model for utilizing data from the National Socioeconomic Survey (SUSENAS) as a proxy in calculating the Consumer Price Index (CPI) and inflation aims to support the implementation of the Cost-of-Living Survey (SBH) methodology across all regions, particularly in Riau Province. In practice, the SBH is conducted only once every few years with limited regional coverage; therefore, the annually collected SUSENAS data offers an alternative for updating the basket structure and household consumption weightings in a more responsive manner. This study conducted simulations of CPI and inflation calculations using 2022 SUSENAS data, which were then applied to the observation period from January 2024 to October 2025. Among several testing methods, the chi-square test was used to evaluate differences in consumption structure, while Spearman’s correlation was used to measure the strength of the relationship between the CPI and inflation derived from SUSENAS and SBH data. The analysis results indicate that there are no significant differences in consumption structure by commodity group between SBH and SUSENAS (p-value > 0.05). In addition, the Spearman correlation coefficient was close to 1 (0.95–1.00), with a mean of 0.98% and a p-value < 0.05, indicating a very strong and significant positive relationship between the CPI, month-over-month (M-M), and year-over-year (Y-Y) inflation from both data sources, making this alternative model suitable for calculating the CPI and inflation in regencies/cities not covered by the SBH with higher frequency.]]>
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