Application of Data Mining Using Multiple Linear Regression to Project Population Figures at the Central Bureau of Statistics of Ogan Ilir Regency

Abstract

The Central Bureau of Statistics (Badan Pusat Statistik BPS) is a government agency mandated to provide comprehensive, accurate, and up-to-date population statistics to build a reliable, effective, and efficient national statistical system that supports national development planning. However, the BPS office of Ogan Ilir Regency faces challenges in its current population-data collection system, which remains incomplete. This study applies a multiple linear regression analysis method a multivariate technique used to estimate the relationships between dependent and independent variables of metric or non-metric type. The findings demonstrate that data-mining techniques are effective tools for addressing data-related problems by identifying useful and relevant knowledge within large databases. The proposed projection information system is designed to meet population-data requirements at the regency or municipal level for both present and future needs.