A Decision Support System for Selecting Employees Eligible for Bonuses at Uflo Technology Indonesia Using the Analytical Hierarchy Process (AHP) Method
Kata Kunci:
Decision Support System, Analytical Hierarchy Process, Performance Evaluation, Employee Bonuses, Digital organizationAbstrak
Decision Support Systems (DSS) play a crucial role in minimizing cognitive biases in human resource management processes, particularly in employee incentive or bonus schemes. This study aims to design, develop, and implement a web-based decision support system to determine which employees are most deserving of annual bonuses at Uflo Technology Indonesia by applying the Analytical Hierarchy Process (AHP) method. Conventional performance evaluations, which are often subjective, have the potential to reduce work motivation and lead to organizational injustice. To address these dynamics, this system objectively evaluates employee performance based on five main criteria: discipline, productivity, teamwork, work quality, and initiative and creativity. Empirical evaluation data is sourced directly from Uflo Technology’s internal systems, including digital attendance records and daily job reports. Through the AHP algorithm, each criterion is analyzed using hierarchical decomposition and pairwise comparison to generate a consistent global priority weight, where the Consistency Ratio (CR) is rigorously tested to ensure it remains ≤ 0.1. The final results of the study show that the system successfully performs automatic evaluation synthesis and alternative ranking. Computational validation using real-world data placed the Dodi alternative at the highest rank with a final score of 0.335. The implementation of this web-based system has proven capable of improving accuracy, transparency, and time efficiency in the managerial decision-making process within a corporate environment.
Referensi
N. Manurung, “Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode Ahp,” J. Teknol. Inf., vol. 1, no. 1, p. 48, 2017
W. Setiyaningsih, Konsep Sistem Pendukung Keputusan, vol. 1. 2015.
F. Jaya, A. Febriyanti, D. Citra Irawan, N. Afia, K. Muawanah, and Y. Maulida, “Sistem Pendukung Keputusan Menggunakan Metode Analytical Hierarchy Process Pemilihan Ketos Mts Yu Berbasis Website,” Cermin Jurnal Penelit., vol. 7, no. 2, pp. 607–621, 2023.
S. J. Bulan and S. J. Bulan, “Penerapan Analytical Hierarchy Process (Ahp) Dalam Perangkingan Bengkel Mobil Terbaik Di Kota Kupang,” J. Teknol. Terpadu, vol. 5, no. 1, pp. 5–9, 2019.
A. Manik, S. Saniman, and M. S. Wahyuni, “Sistem Pendukung Keputusan Pemberian Bonus Kepada Karyawan Menggunakan Metode Multi Attribute Utility Theory (Maut),” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 5, p. 686, 2023.
I. Masarroh and M. I. Anshori, “Metode Penilaian Kinerja yang Efektif di ASEAN : Systematic Literature Review,” no. 2022, 2024.
M. Andani, M. Asia, J. A. Jendral Yani No, O. Komering Ulu, and S. Selatan, “Sistem Informasi Pelayanan Kependudukan Desa Lecah Berbasis Web Menggunakan Php Dan Mysql,” J. Sist. Inf. Mahakarya, vol. 4, no. 1, pp. 15–27, 2021.
S. Esti, T. Sami, S. Rahmawati, A. Prasetyo, and C. Cahyono, “Aplikasi Sistem Informasi Penjualan Pada Rumah Makan ‘Jeng Tin’ Menggunakan Database MySQL,” J. Janitra Inform. dan Sist. Inf., vol. 4, no. 1, pp. 1–14, 2024.
M. O. Odja, F. J. Likadja, W. T. Ina, and S. I. Pella, “Penggunaan Microsoft Excel untuk Kemudahan Pengolahan Data Nilai Hasil Belajar Siswa,” J. Pengabdi. Kpd. Masy. Undana, vol. 15, no. 2, pp. 22–29, 2021.
T. L. Saaty, “The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation,” McGraw-Hill, New York, 1980.
E. Turban, J. E. Aronson, and T.-P. Liang, “Decision Support Systems and Intelligent Systems,” 7th ed., Pearson Prentice Hall, 2005.
K. Adi, “Sistem Pendukung Keputusan dengan Metode AHP untuk Penilaian Kinerja Karyawan,” Jurnal Sistem Informasi Bisnis, vol. 8, no. 2, pp. 120–128, 2018.
R. Wardoyo, “Sistem Informasi Manajemen dan Pendukung Keputusan,” Andi Offset, Yogyakarta, 2016.
H. Haswan, “Penerapan Metode AHP Dalam Penentuan Pemberian Bonus Tahunan Karyawan,” Jurnal Teknologi dan Sistem Informasi, vol. 4, no. 3, pp. 240–248, 2020.
M. Safrizal, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Aplikasi Berbasis Web,” Jurnal Komputer Terapan, vol. 5, no. 1, pp. 34–43, 2019.
A. S. Rosa and M. Shalahuddin, “Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek,” Informatika, Bandung, 2018.
S. Sugiarti and D. Anggoro, “Analisis Perbandingan Metode AHP dan SAW dalam Penilaian Kinerja Karyawan,” Jurnal Ilmiah Teknologi Informasi, vol. 12, no. 2, pp. 88–95, 2021.
P. Partono and S. Sudarsono, “Sistem Pengambilan Keputusan Strategis Berbasis Web,” Jurnal Informatika dan Komputer, vol. 9, no. 1, pp. 12–21, 2022.
R. S. Pressman, “Software Engineering: A Practitioner's Approach,” 8th ed., McGraw-Hill, 2015.
K-Nearest Neighbor with K-Fold Cross Validation and Analytic Hierarchy Process on Data Classification (Z. R. . Tembusai, H. . Mawengkang, & M. . Zarlis, Trans.). (2021). International Journal of Advances in Data and Information Systems, 2(1), 1-8.
Unduhan
Diterbitkan
Terbitan
Bagian
Lisensi
Hak Cipta (c) 2026 Journal of Technology and Computer

Artikel ini berlisensi Creative Commons Attribution 4.0 International License.











