Implementation of a Decision Support System for Employee Reward and Contract Extension Using Naïve Bayes
DOI:
https://doi.org/10.26418/jp.v12i1.106418Keywords:
Decision Support System, Naïve Bayes, Data Mining, Human Resource Management, Employee EvaluationAbstract
This study implements an integrated Decision Support System (DSS) for evaluating employee potential for both reward allocation and contract extension at PT Java Abadi Gemilang. Unlike previous studies that focus on a single human resource decision, this system combines two critical functions into one framework. Using the Naïve Bayes classifier within the CRISP-DM methodology, the system was tested on 350 employee records from January 2022 to December 2023. Eight key attributes were selected using Information Gain. Experimental results show that the model achieves 92.50% accuracy, 91.80% precision, 93.20% recall, and 92.45% F1-score. The DSS implementation improved evaluation objectivity based on preliminary survey feedback and reduced processing time from two weeks to real-time, representing a 75% increase in administrative efficiency. The main contribution is the integration of reward and contract extension decisions into a single rule‑based system that adapts to divisional characteristics.References
H. Bashir and M. A. Gill, "Predictive analytics in human resource management using Naive Bayes and support vector machine," IEEE Access, vol. 9, pp. 123456–123467, 2021.
P. Tambe, P. Cappelli, and V. Yakubovich, "Artificial intelligence in human resources management," California Management Review, vol. 63, no. 4, pp. 56–78, 2021.
M. Khoirul Azmi, A. Muhajirin, and S. Rafika, "Sistem Penilaian Kinerja Karyawan PT Bank Syariah Indonesia Berbasis Website Menggunakan Algoritma Naive Bayes," Jurnal Jaring SainTek, vol. 7, no. 1, pp. 33–41, 2025.
Dwi Remawati, P. Harsadi, and R. D. Nugroho, "Penerapan Sistem Penunjang Keputusan Menggunakan Algoritma Naive Bayes Pada HRIS (Studi Kasus: Kontrak Kerja)," Jurnal Ilmiah Sinus (JIS), vol. 20, no. 1, pp. 1–12, 2022.
F. Al Farisi and L. R. Widiastuti, "Perancangan Sistem Pendukung Keputusan Kenaikan Jabatan dengan Metode Simple Additive Weighting (SAW) dan Naïve Bayes," Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 9, no. 3, pp. 567–578, 2022.
R. A. Saputra and D. S. Maylawati, "Penerapan Algoritma Naïve Bayes Classifier untuk Evaluasi Kinerja Karyawan," Jurnal Teknik Informatika (JUTIF), vol. 3, no. 2, pp. 345–352, 2022.
C. Naya, A. Siswandi, S. Butsianto, and F. Febriyanti, "Prediction of employee assessments for contract extensions at PT Sagateknindo Sejati using the Naïve Bayes algorithm," Brilliance: Research of Artificial Intelligence, vol. 4, no. 1, pp. 55–62, 2024.
H. Jantan, A. R. Hamdan, and Z. A. Othman, "Employee performance prediction using machine learning techniques," Expert Systems, vol. 38, no. 4, p. e12656, 2021.
L. J. Li and X. Y. Chen, "A data-driven workforce performance prediction framework using Naive Bayes," Information Processing & Management, vol. 59, no. 3, p. 102956, 2022.
M. S. Al-Hassan, "Predictive modeling for employee performance using classification and regression techniques," International Journal of Information Management Data Insights, vol. 3, no. 1, p. 100141, 2023.
Z. Nayem and M. A. Uddin, "Unbiased employee performance evaluation using machine learning," Journal of Open Innovation, vol. 10, no. 2, p. 100243, 2024.
E. M. K. Reddy et al., "Introduction to Naive Bayes and a review on its subtypes with applications," in Bayesian Reasoning and Gaussian Processes for Machine Learning Applications, Chapman and Hall/CRC, 2022, p. 147.
M. Nasir, Verawaty, and V. Sahfitri, "Evaluasi kinerja akademik mahasiswa menggunakan algoritma Naive Bayes classifier," Jurnal Informatika dan Komputer (JIKO), vol. 5, no. 2, pp. 81–88, 2021.
B. H. Pangestu, "Data Mining Menggunakan Algoritma Naïve Bayes Classifier untuk Evaluasi Kinerja Karyawan," Jurnal Riset Matematika, vol. 3, no. 2, pp. 101–110, 2024.
E. Siswanto, "Penerapan Naïve Bayes dalam Proses Penilaian Kinerja Pegawai Klinik Utama Baitul Hikmah," Jurnal Teknologi Informasi dan Komunikasi (JTIKP), vol. 12, no. 2, pp. 145–153, 2025.
Wahyudi, R. F. Wijaya, and Khairul, "K Means and Naive Bayes Algorithms for Evaluation of Education Personnel Performance Based on SPMI Standards," Sinkron, vol. 8, no. 3, pp. 1421–1430, 2025.
N. Yunita, N. Hartono, and E. Erfina, "Penerapan Data Mining dalam Sistem Pendukung Keputusan Penerimaan Beasiswa KIP Kuliah Menggunakan Algoritma Naive Bayes," Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer, vol. 5, no. 1, pp. 45–54, 2025.
K. Kenny, D. Arisandi, and T. Sutrisno, "Evaluasi Penilaian Kinerja Karyawan dengan Metode Naïve Bayes," Computatio, vol. 8, no. 2, pp. 112–121, 2024.
F. Fitriasih et al., "Penerapan Naïve Bayes untuk Analisis Sentimen Netizen terhadap Program Makan Siang Gratis pada Media Social X," JATI, vol. 9, no. 4, pp. 5621–5628, 2025.
G. I. Webb, J. R. Boughton, and Z. Zheng, “Naïve Bayes,” in Encyclopedia of Machine Learning, C. Sammut and G. I. Webb, Eds. Springer, 2011, pp. 713–714.
