Data Mining Management for Implementation of Knowledge Management Using SECI Model and Data Testing

A company can no longer only rely on resources to be able to compete with other companies, but also must use knowledge assets that have more strategic characteristics. Models of knowledge management can be used to explore tacit knowledge and explicit knowledge, including the SECI model. But before making the model, a tool that can be used to search for patterns of data owned by companies is needed, in the form of data mining. The results of the implementation of knowledge management models and the use of data mining are examined using static tools for testing the data obtained. Novelty is done by repeating research in other contexts. The research will be conducted on several organizations in the same field, using empirical foundations with different methods and knowledge management models such as the SECI model. Data mining functionality is also used in addition to clustering and hypotheses that will be different to be examined from the knowledge gained.