Harmonious vocational education and training with the company, industry, and occupation are carried out by providing access to apprenticeships and industrial work practices. This study proposes a method of clustering student competencies in vocational education and training institutions as a recommendation for students who can be apprenticed to the company, industry, and occupation. The Fuzzy Multi-Attribute Decision Making (FMADM) approach is proposed with a combination of two methods, namely Fuzzy Simple Additive Weighting and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FSAW-TOPSIS). FSAW-TOPSIS provides a more optimal solution and better performance. The FSAW-TOPSIS method which is integrated with clustering produces an accuracy of 100% for the Decision Tree method, with a Neural Network with the best accuracy marked by the smallest RMSE value of 0.246. FSAW-TOPSIS integration and clustering provide optimal student apprenticeship recommendations as material for decision-making for leaders of vocational education and training institutions to apprentice their students in the company, industry, and occupation. © 2022 IEEE.
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