Decision Support Model for Determining Priorities of Non-Academic Competencies Using Content Analysis & Weighted Mapping Approaches

Abstract

This study formulates a Decision Support model to determine the priority of students' non-academic competencies as a basis for improving the concept of link and match between higher education and industry needs. Data were collected from the 21st Century Skills Framework, the WEF Future of Jobs Reports (2020, 2023, 2025), and Institut Teknology PLN (ITPLN) Tracer Study (2022, 2024). The method used is a mixed analytical method including Content Analysis to extract and consolidate competencies, accompanied by Weighted Mapping consisting of Frequency Weight (FW), Correlation Weight (CW), Normalized Weight (NW), and Final Priority Score (FPS). The results of the study identified eight main non-academic competencies whose relational structure was analyzed through a correlation matrix and a priority model. The findings indicate that Information and Communication Technology (ICT) Literacy, Critical Thinking, and Communication competencies are the highest priority competencies. The resulting model can be used as a basis for strategic recommendations in compiling work programs related to students' non-academic competencies as university graduates who will face the industrial world