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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Observation of Imbalance Tracer Study Data for Graduates Employability Prediction in Indonesia

Author 1: Ferian Fauzi Abdulloh
Author 2: Majid Rahardi
Author 3: Afrig Aminuddin
Author 4: Sharazita Dyah Anggita
Author 5: Arfan Yoga Aji Nugraha

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130820

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 8, 2022.

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Abstract: Tracer Study is a mandatory aspect of accreditation assessment in Indonesia. The Indonesian Ministry of Education requires all Indonesia Universities to anually report graduate tracer study reports to the government. Tracer study is also needed by the University in evaluating the success of learning that has been applied to the curriculum. One of the things that need to be evaluated is the level of absorption of graduates into the working industry, so a machine learning model is needed to assist the University Officials in evaluating and understanding the character of its graduates, so that it can help determine curriculum policies. In this research, the researcher focuses on making a reliable machine learning model with a tracer study dataset format that has been determined by the Government of Indonesia. The dataset was obtained from the tracer study of Amikom University. In this study, SVM will be tested with several variants of the algorithm to handle imbalanced data. The study compared SMOTE, SMOTE-ENN, and SMOTE-Tomek combined with SVM to detect the employability of graduates. The test was carried out with K-Fold Cross Validation, with the highest accuracy and precision results produced by SMOTE-ENN SVM model by value of 0.96 and 0.89.

Keywords: Tracer study; support vector machine; synthetic minority oversampling technique; SMOTE; employability

Ferian Fauzi Abdulloh, Majid Rahardi, Afrig Aminuddin, Sharazita Dyah Anggita and Arfan Yoga Aji Nugraha, “Observation of Imbalance Tracer Study Data for Graduates Employability Prediction in Indonesia” International Journal of Advanced Computer Science and Applications(IJACSA), 13(8), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130820

@article{Abdulloh2022,
title = {Observation of Imbalance Tracer Study Data for Graduates Employability Prediction in Indonesia},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130820},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130820},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {8},
author = {Ferian Fauzi Abdulloh and Majid Rahardi and Afrig Aminuddin and Sharazita Dyah Anggita and Arfan Yoga Aji Nugraha}
}


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