Implementation Of Internship at the Central Statistics Agency of Sidoarjo Regency Msme Mapping Process Ahead of the 2026 Economic Census
Implementasi Magang Di Badan Pusat Statistik Kabupaten Sidoarjo Proses Pemetaan UMKM Menjelang Sensus Ekonomi 2026
DOI:
https://doi.org/10.21070/pels.v10i1.2971Keywords:
Mobile Application, User Satisfaction, Multiple Linear Regression, Central Statistics Agency, System EfficiencyAbstract
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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