Model Klasifikasi Machine Learning untuk Prediksi Ketepatan Penempatan Karir
Hendri Mahmud Nawawi,
Agung Baitul Hikmah,
Ali Mustopa
et al.
Abstract:The complexity of the job market requires individuals and organizations to understand the trends and needs of the world of work. One of the main challenges is the right career placement. That is becoming increasingly popular is the use of Machine Learning algorithms in the decision-making process. ML classification models such as Random Forest, Decision Tree, Naïve Bayes, KNN, and SVM have demonstrated their potential in uncovering hidden patterns from data, including a person's educational history, work expe… Show more
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