MICROCREDENTIALS FROM THE PERSPECTIVE OF BUSINESS AND INDUSTRY (DUDI): A MACHINE LEARNING ANALYSIS

Abstract

Microcredentials are becoming a new approach in education and training that is increasingly popular, especially in facing the challenges of the industrial revolution 4.0. This study aims to analyze the perspective of the Business and Industry World (DUDI) on the implementation of microcredentials in Indonesia. Data were obtained from Focus Group Discussions (FGD) involving representatives of DUDI and several related ministries. FGD data in the form of Minutes of Meeting (MoM) and audio recordings were processed using machine learning techniques to identify patterns, perceptions, and preferences of DUDI regarding microcredentials. The results of the analysis show that DUDI sees microcredentials as a strategic tool to fill skills, but there is a need for further collaboration between the government, educational institutions, and industry in developing clear and relevant standards. In addition, machine learning methods are able to provide deeper insights into the sentiments and main topics that emerge in the discussion, which can be the basis for further development policies and programs. This study provides an important contribution in understanding how DUDI views microcredentials and offers practical recommendations to optimize the implementation of microcredentials in an industrial context.