<![CDATA[Proposing and developing the right model is necessary to increase the effectiveness and success of e-government service implementation. Combining models that highlight technological aspects and psychological issues can generate satisfaction and improve service quality. This research develops and tests a combination of the Information System Success Model (ISSM), Technology Acceptance Model (TAM), and Social Cognitive Theory (SCT). This research aims to determine the results of the fit model test for the proposed model and empirically test the factors that significantly affect the success of e-government through satisfaction. To validate the conceptual model, PLS-SEM is used. The type of research conducted is quantitative. The sample used to test the model consisted of SiKeren service users in the Jember Regency Government, totaling 260 samples, determined using Hair's theory and probability sampling techniques, particularly simple random sampling. The results of this study indicate that the proposed model is suitable. The Standardized Root Mean Square Residual (SRMR) value of 0.070 or < 0.08 indicates that the model is considered to be supported by the measured data. The Goodness of Fit (GoF) value is 0.686, indicating a strong match between the observed data and the developed model. The model effectively captures the R-Square value for Perceived Ease of Use, Perceived Usefulness, and Satisfaction, which have medium criteria with values of 0.595, 0.724, and 0.606, respectively. Of the 16 hypotheses proposed, 12 were accepted, and 4 were rejected. This study found that Perceived Ease of Use and Perceived Usefulness are influenced by the constructs of the IS success model, except that the system quality variable on Perceived Usefulness is not significant. This study also found that TAM factors significantly influence computer self-efficacy and satisfaction. The anxiety variable is not significant to the TAM factor and the cognitive theory of Computer Self-Efficacy. The overall relationship between the analyzed variables has a small effect size.]]>
