<![CDATA[This study examines whether transformational leadership and work motivation predict the performance of elementary-school operators of Indonesia’s Basic Education Data system (Data Pokok Pendidikan, Dapodik) in Pinrang Regency. A quantitative, cross-sectional explanatory design was used. From a population of 315 operators, 176 respondents were selected through simple random sampling using a finite-population formula with a 5% precision level. Data were collected using a 13-item questionnaire and documentation and were analysed through multiple linear regression in IBM SPSS Statistics 25. Item-total correlations exceeded the critical value of .147. Visual diagnostic checks indicated no substantial violations of normality, multicollinearity, or homoscedasticity assumptions. Transformational leadership was positively but not significantly associated with operator performance (B = .087, SE = .137, β = .119, t = .615, p = .539), whereas work motivation was a positive and statistically significant predictor (B = .409, SE = .071, β = .502, t = 5.746, p < .001). The model was significant overall, F(2, 173) = 17.560, p < .001, explaining 16.9% of the variance in performance (adjusted R² = .159). The findings indicate that motivation is the more proximal predictor of performance in a highly standardized digital-administration role. Education authorities should therefore combine recognition, professional development, adequate work support, and adaptive leadership with continuing digital-capability development. The cross-sectional, single-region, and self-report design limits causal interpretation and generalizability.]]>
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