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Application of the Support Vector Machine (SVM) Method to Predict Career Choices for UMSIDA Alumni


Penerapan Metode Support Vector Machine (SVM) untuk Memprediksi Pemilihan Karir bagi Alumni UMSIDA

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DOI:

https://doi.org/10.21070/ups.6658

Keywords:

Prediction, Career, Support Vector Machines, Umsida

Abstract

The success of higher education is not only determined by the educational process, but also the ability of its graduates to get jobs. This research aims to develop and evaluate a predictive model using the Support Vector Machine (SVM) method to predict career choices for alumni of Muhammadiyah University of Sidoarjo (UMSIDA). A quantitative approach was used with data from UMSIDA alumni tracers. The title of this research is "Application of the Support Vector Machine (SVM) Method to Predict Career Choices for UMSIDA Alumni". The evaluation results show that SVM has good performance with high precision, recall and f1-score in the dominant class. Feature analysis shows key factors influencing career choice. This model achieves 97% accuracy, providing precise recommendations for alumni.

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2024-09-25

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