**5. Conclusion**

The modeling process with the DM approach using the SVM, ANN, and MR algorithms produces a community satisfaction prediction model with a reasonably good model performance. The three model algorithms are compared with the questionnaire results. The REC curve shows the accuracy of each model used. Based on the resulting error matrix, it is believed that the SVM model is the best model to predict community satisfaction with a low iteration of 20 runs and has a good consistency. The most critical parameter in preparing the community satisfaction prediction model is the comfort of the road and bridge compared to before. Each attribute that affects the community satisfaction prediction model is successfully described with the algorithm of relative importance.
