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Analysis of Innovation and Implementation of the "Silaw Mas" Application on Employee Performance with Job Satisfaction as an Intervening Variable in Pangkalan Susu Sub-District Jamilah; Yohny Anwar; Darmilisani
Indonesian Journal of Multidisciplinary Sciences (IJoMS) Vol. 5 No. 2 (2026): Indonesian Journal of Multidisciplinary Sciences (IJoMS)
Publisher : CV. Era Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59066/ijoms.v5i2.2666

Abstract

This study aims to analyze the effect of innovation and the implementation of the SILAW MAS application on employee performance with job satisfaction as an intervening variable at Pangkalan Susu Subdistrict Office. This research uses a quantitative approach with a survey method. The population in this study consisted of all employees of the Pangkalan Susu Subdistrict Office totaling 89 people, and the sampling technique used was saturated sampling, so the entire population was used as the research sample. The data analysis technique used was Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) with the assistance of SmartPLS software. The results showed that innovation has a positive and significant effect on job satisfaction and employee performance. Job satisfaction also has a positive and significant effect on employee performance. The implementation of the SILAW MAS application has a positive and significant effect on job satisfaction, but does not have a significant direct effect on employee performance. In addition, job satisfaction is proven to mediate the effect of innovation and the implementation of the SILAW MAS application on employee performance. The conclusion of this study is that increasing innovation and optimizing the implementation of the SILAW MAS application can improve job satisfaction, which in turn has an impact on improving employee performance. Therefore, the institution is expected to strengthen innovation and improve the quality of application system implementation to achieve more optimal employee performance.