IMPROVING SOCIETY EMPOWERMENT OF TRADITIONAL OIL MINERS AT OLD WELLS OF WONOCOLO

The issue of this research is related to the variables which are affecting the empowerment of the traditional oil miners of old wells in Wonocolo, Bojonegoro, East Java of Indonesia. The aim of this research is to analyze the influence of the variables of physical, human and social capital also the ability of empowerment actors towards the variable of society empowerment. Research design of this study is descriptive analytic which is expected to provide an explanation of the phenomenon of community empowerment process and to direct various government policies related to behavioural aspects of empowerment actors. The data used are primary data, collected using survey method through questionnaire. Regression analysis technique is used to analyze the data. Research findings show that there are significant influences of the four variables towards society empowerment. The most dominating variable towards society empowerment is the social capital variable, while the ability of empowerment actors has the lowest influence towards society empowerment. The implementation of the results is that empowerment needs the development of human, social, and physical capital and it will be better if the empowerment is supported by the development of empowerment actors‟ ability. It is expected that the government of Bojonegoro can support the implementation of society empowerment. Thus, it can increase the society income especially for the traditional oil miners of old wells

ANALYSIS OF KEY FACTORS OF DIGITAL TRANSFORMATION IN SMALL AND MEDIUM ENTERPRISES IN SALAMAN DISTRICT OF MAGELANG REGENCY, INDONESIA

The purpose of this study is to identify and analyze key factors of digital transformation of MSMEs in Magelang Regency Province using a prospective structured analysis approach. This research design is quantitative descriptive research. The type of data in this research uses primary data. The data source was obtained from Focus Group Discussion (FGD). The analysis method used prospective structural analysis techniques. The structural analysis was arranged in three stages, the first two stages were carried out during FGD and the third stage used MICMAC software. The variables that influence/determine (key drivers) the digital transformation of MSMEs in Magelang Regency are the key variables or factors of digital infrastructure, digital customer preferences, leadership and management and capital allocation. Transition variables include the innovation environment, technological mastery, environmental conditions and requirements, and human resources. Meanwhile, organizational culture is the dependent variable and company digital culture is an excluded variable. The digital infrastructure, innovation environment, and mastery of technology are the most influential variables, both directly between variables and indirect interactions