This study examines how the expertise, size, and meeting frequency of audit committees shape financial reporting quality among Indonesian manufacturers, measured through a predictive-value lens. This paper investigates 40 manufacturing firms listed on the Indonesia Stock Exchange across 2017–2021, drawing on 200 firm-year observations obtained through purposive sampling. Panel regression was applied, with model choice guided by the Chow, Hausman, and Lagrange Multiplier procedures, ultimately favoring a Random Effect specification. Evidence points to audit committee meeting frequency as the sole characteristic carrying a significant, positive association with reporting quality; neither expertise nor committee size registers a discernible effect. This pattern persists once the early COVID-19 years are removed from the sample, underscoring its robustness. Taken together, the findings suggest that in the Indonesian setting, oversight effectiveness hinges less on formal composition—headcount or the share of members with economics training—and more on how actively the committee convenes. By applying the predictive-value lens to audit committee research and separating the influence of each characteristic, the study adds empirical nuance to governance debates in Indonesia and points to a practical takeaway: strengthening the frequency and depth of audit committee meetings may do more for reporting quality than adjusting committee composition alone. Nevertheless, the model's overall explanatory power remains limited, as reflected in a relatively low R² and a non-significant F-test, suggesting that unobserved factors outside the model account for most of the variation in reporting quality.
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