<![CDATA[This study aims to analyze the effect of the number of workers and input costs on the added value of the manufacturing industry in Indonesia during the 2019–2023 period. The research uses a quantitative approach with secondary data sourced from the Central Statistics Agency (BPS) on 24 industry groups and is analyzed using panel data regression with the help of EViews. The model used is the Fixed Effect Model (FEM) with cross-section weighting. The results show that the number of workers has a positive and significant effect on the added value of the manufacturing industry, with a coefficient of 7.067463 and a probability of 0.0262. Input costs also have a positive and significant effect on added value, with a coefficient of 21.75114 and a probability of 0.0001. Simultaneously, the number of workers and input costs have a significant effect on added value, with a Prob(F-statistic) of 0.000000. The Adjusted R-squared value of 0.965527 shows that 96.55% of the variation in added value can be explained by the number of workers, input costs, and fixed effects across industry groups. The study shows that increasing labor and efficiently managed productive use of production inputs is related to higher added value in Indonesia's manufacturing industry. Keywords: labor, input costs, added value, manufacturing industry, panel data.]]>
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