Decision Support System Implementation of Decision Tree Algorithm C4.5 In Employee Performance Assessment
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Dec 28, 2024
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Abstract
Employee performance assessment can be used as an evaluation tool to improve employee performance to achieve more. Some of the benefits of performance appraisal are such as improving business quality, driving business progress, and improving employee welfare. Yasmin Medical Clinic requires an employee performance appraisal system that can help superiors to process data properly so that it can shorten the time and produce an assessment that is in accordance with the subjective value of decision making. One method that can be used in a decision support system is a decision tree. Current decision trees such as C4.5 and CART are widely used in various fields. The results of the analysis show that the application of the decision support system of the decision tree algorithm c4.5 in employee performance appraisal is able to solve problems at the Yasmin Medical Clinic. A computerized decision support system helps the decision-making process and produces objective decisions that are in accordance with actual conditions.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Pasaribu, A. B., & Dedi Irawan, M. (2024). Decision Support System Implementation of Decision Tree Algorithm C4.5 In Employee Performance Assessment. Jurnal E-Komtek (Elektro-Komputer-Teknik), 8(2), 373-386. https://doi.org/10.37339/e-komtek.v8i2.2145
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[16] W. Chen, X. Lu, H. Yan, and X. Du, “Decision tree of indicator benchmark: A hybrid method for assessing cities’ performance through urban indicators and benchmark,” Ecol. Indic., vol. 154, p. 110804, 2023, doi: https://doi.org/10.1016/j.ecolind.2023.110804.
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[20] A. I. Rizmayanti, N. Hidayati, F. S. Nugraha, and W. Gata, “PENERAPAN DATA MINING UNTUK MEMPREDIKSI KOMPETENSI SISWA MENGGUNAKAN METODE DECISSION TREE ( STUDI KASUS SMK MULTICOMP DEPOK ),” vol. 9, no. 1, pp. 10–18, 2021.
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[22] O. Provinsi and S. Utara, “1) , 2) , 3 1,” vol. 4, no. 2, pp. 324–332, 2022.
[23] A. Almira and A. Ikhwan, “Implementasi Data Mining Menggunakan Algoritma Fp-Growth pada Analisis Pola Pencurian Daya Listrik,” vol. 6, no. 2, pp. 442–448, 2021.
[24] K. Hafidz, M. D. Irawan, and H. D. Nawar, “Sistem Penginputan Data Bahan Pokok pada Pasar Tradisional Sumatera Utara Berbasis Website di Disperindag Sumut,” 2022.
[25] D. Rahmat, R. Adam, and V. Asih, “Sistem Penilaian Kinerja Karyawan Klinik Indosehat Group 2003 Menggunakan Metode Topsis,” vol. 2, no. 1, pp. 1–10, 2023.
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[27] M. Syahri, R. Damanik, and A. Ikhwan, “Implementasi Metode SAW dan TOPSIS Dalam Sistem Pendukung Keputusan Untuk Seleksi Calon Penegak Saka Bhayangkara,” vol. 5, no. 1, pp. 21–29, 2024, doi: 10.30865/resolusi.v5i1.2106.
[28] P. Ramadhani and M. D. Irawan, “Sistem Pendukung Keputusan dengan Aplikasi Kombinasi Metode WP dan MAUT Dalam Pemilihan Tanaman Anggrek Kualitas Ekspor Combination of WP and MAUT Methods in Export Quality Orchid Plant Selection Based WEB,” vol. 1, no. 1, pp. 1–11, 2022.
[29] S. I. Raisyah and I. Zufria, “TIN : Terapan Informatika Nusantara Sistem Pendukung Keputusan Dalam Menentukan Kelayakan Bantuan Dana Hibah Fasilitas Rumah Ibadah Menggunakan Metode AHP TIN : Terapan Informatika Nusantara,” vol. 5, no. 3, pp. 196–208, 2024, doi: 10.47065/tin.v5i3.5558.
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