This project aims to assess performance management models in government agencies using Structural Equation Modeling Partials Least SEM. Effective performance management is the key to the success of government organizations in achieving and serving society. However, precise and accurate performance measurements are still a challenge for many government agencies, especially in terms of determining relevant indicators and measuring overall policy impacts.

The background of this project is related to the importance of having a valid and reliable performance measurement system within the government. The use of the SHEM PLS model gives an edge in analyzing complex connections between variables and testing validity and reliability of performance models. Through this analysis, this project aims to evaluate the extent of which performance measurement models applied by government agencies can reflect real performance and support data-based decision-making.

The whole point of this project is to develop and test performance measurement models using the SHEM PLS approach, which can give you a better sense of factor- factors that affect the performance of government agencies. In addition, this project also aims to identify weaknesses in the measurement system and give recommendations for improvement.

The expected impact of this project is the creation of a more precise performance measurement model that is relevant to government agencies, which can increase performance management effectiveness and support continued repair efforts in public services. With a better understanding of the relationship between factors-- factors that affect performance, hopefully this project can contribute to strengthening more efficient governance and accounting.