Trust Evaluation using Data Distribution Technique on Service Computing

In this modern era, the role of service computing has grown rapidly. Almost all service sectors are computationally based. The existence of service computing depends on the trust of its users. However, user ratings are spread across multiple systems and use different formats. The history recorded in the system is a record that can be used as an evaluation of the next service computing system development decision. In general, a trust record or a trust value is determined by a certain value. There are at least two categories, namely 0 and 1 (distrust and trust), or it could be more than two. Sometimes too many or too few categories are defined, making it difficult to conduct a trust evaluation analysis. This study aims to perform a redesign calculation to determine the category of trust. The calculation process is carried out using data distribution techniques using the available data sets. The result of this research is categorization evaluation of trust in service computing system. By obtaining a simpler category result, the old category can be adjusted to the new design, so that the results are not confusing when evaluating trustworthiness.