<![CDATA[General Background Digitalization within public statistical institutions enables streamlined data collection during national economic mapping activities. Specific Background The Central Statistics Agency utilizes mobile applications like Kendedes Mobile for field survey tagging and micro-business enumeration ahead of national economic censuses. Knowledge Gap Although mobile surveys expedite field operations, systemic evaluations measuring multi-dimensional operational factors that dictate overall user satisfaction levels remain understudied. Aims This research analyzes multi-variable determinants influencing user satisfaction with the Kendedes Mobile application at the Central Statistics Agency of Sidoarjo Regency using multiple linear regression modeling. Results Multiple linear regression modeling reveals that work efficiency (X4, coefficient 0.559) and system quality (X2, coefficient 0.419) exhibit strong positive correlations with user satisfaction (Y), whereas ease of use, information quality, and individual user satisfaction variables show negative regression coefficients. Novelty Empirical modeling identifies work efficiency as the primary positive driver governing field enumerator satisfaction in digital statistical mapping systems. Implications Institutional IT managers must prioritize optimizing application responsiveness and operational workflow efficiency to improve user satisfaction and data collection productivity. Key Findings Highlights Work Efficiency Represents Primary Positive Satisfaction Driver With Coefficient 0.559 System Quality Exerts Secondary Positive Effect On Overall User Satisfaction Multi-Variable Model Explains 44.1 Percent Variation In Mobile Application Satisfaction Keywords Mobile Application, User Satisfaction, Multiple Linear Regression, Central Statistics Agency, System Efficiency]]>
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