Muhammad Rayhan Athaurrahman, . (2025) PENERAPAN KLASIFIKASI PROSES SELEKSI PENERIMAAN MAHASISWA MAGANG KAMPUS MERDEKA DI PT. XYZ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The MSIB Kampus Merdeka internship program provides students with real work experience through collaboration with companies, such as PT. XYZ, in order to enhance their competencies and readiness for the professional world. However, the high number of internship applicants presents challenges in the selection process, necessitating a recruitment system that is efficient, objective, and capable of fairly selecting the best candidates. This study aims to implement a classification model in the administrative recruitment process for internship students in the Kampus Merdeka program at PT. XYZ. The main focus of this research is to explore the techniques used in the implementation of the classification model and evaluate the results of the testing conducted. The methodology includes data integration from various sources, data processing, and the application of a classification algorithm using Categorical Naive Bayes. The results show that the Naive Bayes model without SMOTE achieved an accuracy of 89%, but the F1-score for the accepted class was only 33%. The SMOTE feature prevents data imbalance in the minority class, enabling the model to achieve 80% accuracy and an F1-score of 82% for the accepted class. This research is expected to contribute significantly to improving the efficiency and effectiveness of the recruitment process at PT. XYZ.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil:2110512160] [Pembimbing 1 : Ika Nurlaili Isnainiyah] [Pembimbing 2 : M. Octaviano Pratama] [Penguji 1: Iin Ernawati] [Penguji 2: Novi Trisman Hadi] |
| Uncontrolled Keywords: | Predictive Analytics, Recruitment, Categorical Naive Bayes, SMOTE, Python |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | MUHAMMAD RAYHAN ATHAURRAHMAN |
| Date Deposited: | 06 Aug 2025 07:28 |
| Last Modified: | 06 Aug 2025 07:28 |
| URI: | http://repository.upnvj.ac.id/id/eprint/36885 |
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