DEVELOPMENT OF A P3E CREATIVE ECONOMY MODEL BASED ON LOCAL AND DIGITAL WISDOM IN A SOCIOLOGICAL ECONOMIC PERSPECTIVE IN THE TOURISM DESTINATION AREA OF WEST SUMATRA

The purpose of this research is to analyze the typology of human resources in the development of a P3E creative economy based on local-digital wisdom and to analyze a P3E creative economy model based on local and digital wisdom in dealing with market changes and economic growth in the tourist destinations of West Sumatra Province. The theory used is social action theory by Max Weber, digital social theory from Mosco and local wisdom from Stanis. This research approach uses a mixed method approach to the post-positivistic paradigm. Data collection techniques used counselors, in-depth interviews, observation and collection of document studies. Data analysis in this study qualitatively used the Miles and Huberman model; quantitatively using cluster analysis. The results of the study show the first result that in obtaining knowledge for creative economy actors in the development of the creative economy: Objects that already have the same relative proximity to other objects. The characteristics of objects in a group unit have a high level of similarity, while the characteristics of objects in a group with other groups have a low level of similarity. The second result , based on the R- Square value on the Local Wisdom-Based Creative Economy variable, shows a value of 0.599. This value indicates that the variable influences the development of the creative economy by 59.9%. Meanwhile, the digital-based creative economy has an R-Square value of 0.568 which indicates that this variable has an effect of 56.8%. The conclusion from this research is the visualization of the typology of human resources in each research area based on the respondents, namely Padang City, Bukittinggi City, Sawahlunto City, Pesisir Selatan Regency and Tanah Datar Regency which are measured based on the elements of Knowledge, Experience, Change, and Ethics in the development of the Creative Economy. Cluster 1, namely the district/city group included in cluster 1 as many as 29 respondents. Cluster 2, namely the Regency/City group that is included in the cluster there are only 3 Respondents, so that overall the characteristics of the grouping tend to have similarities, namely in the first cluster.