Employee Performance Evaluation Using ANP and TOPSIS
Abstract
In the era of competitive globalization, employee performance evaluation is crucial for ensuring productivity and quality in human resources. This research addresses the challenge of subjectivity in performance evaluation by integrating the Analytical Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The study identifies relevant evaluation criteria, assigns weights using ANP, and prioritizes employee performance objectively through TOPSIS. Using a Research and Development (RnD) approach, data were collected via observations, interviews, and documentation. Results demonstrate that the combination of ANP and TOPSIS significantly improves the accuracy and fairness of evaluations, reducing bias by 20% and enhancing transparency by 15% compared to traditional methods. Employees with a preference score of 1.00, such as Sumadin, Siti, and Ardianto, were deemed to have optimal performance across the criteria: Responsibility, Attendance, Service, Cleanliness, and Loyalty. The system also categorized employees with medium preference values (0.6–0.9) and low scores (<0.4), providing actionable insights for employee development. This research highlights the efficacy of technology-based evaluation systems in strategic HR decision-making, contributing to increased job satisfaction and productivity. The system developed has proven to be efficient, able to reduce bias, and increase job satisfaction and productivity.
Downloads
References
D. Shabrina, A. Hasoloan, and T. Fahmi, “Strategi Login Coffee Space Dalam Menghadapi Persaingan Bisnis Di Kota Medan,” J. Bisnis Corp., vol. 8, no. 1, pp. 1–22, 2023, doi: 10.46576/jbc.v8i1.3598.
S. H. Sakti, M. Ikhsan, M. N. Abdoellah, I. Zabidi, and A. Anggara, “Pengaruh rekrutmen SDM, penempatan dan komitmen kerja terhadap kinerja karyawan PT LT di Jakarta,” J. Ris. Manaj. dan Bisnis, vol. 8, no. 1, pp. 1–10, 2023, doi: 10.36407/jrmb.v8i1.1036.
D. R. Wahyudi, F. Kusuma, Y. Sugiana, and D. Zaenurdin, “Rancang Bangun Sistem Informasi Penilaian Kinerja Karyawan Menggunakan Metode Scrum Pada PT. XY,” Jites, vol. 1, no. 1, pp. 1–7, 2021.
D. Ibrahim, Muhammad Buchori, Metode Penelitian Berbagai Bidang Keilmuan (Panduan & Referensi). 2023.
F. A. Riyadi, D. Permadi, and E. Mulyati, “Evaluasi Pemilihan Vendor Cable Gland di Project Electrical Menggunakan Metode Analytic Network Process (ANP) pada PT Catur Elang Perkasa,” J. Pendidik. Tambusai, vol. 8, no. 1, pp. 6376–6402, 2024.
T. S. Putri, “BAPPEDA KABUPATEN GRESIK Effectiveness of TPP Deductions in Improving Employee Attendance Discipline at BAPPEDA Kabupaten Gresik,” vol. 3, 2024.
T. O. Yuneta, F. N. Aprian, and S. Sinaga, “Analisis Analisis Prioritas Pemilihan Supplier Pembelian Bahan Baku Menggunakan Metode TOPSIS Pada UD. XYZ,” J. TRINISTIK J. Tek. Ind. Bisnis Digit. dan Tek. Logistik, vol. 3, no. 1, pp. 32–38, 2024, doi: 10.20895/trinistik.v3i1.1409.
M. Safii and A. Amanda, "Optimisasi Algoritma MOOSRA pada Seleksi Penerima Beasiswa KIP Kuliah," Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer), vol. 22, no. 2, pp. 555–561, 2023.
R. Syelly, “Implementasi Metode Analytic Network Process Dalam Menetapkan Beasiswa Program Indonesia Pintar Menggunakan Superdecission Implementation of the Analytic Network Process Method In Determining the Smart Indonesia Program Scholarship Using Superdecission,” vol. 1, no. 2, pp. 72–85, 2022.
E. K. Nurhasanah et al., “Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Dengan Metode Simple Additive Weighting,” vol. 7, no. 2, pp. 107–118, 2020, doi: 10.37373/tekno.v%vi%i.18.
C. H. Chen, “A hybrid multi-criteria decision-making approach based on anp-entropy topsis for building materials supplier selection,” Entropy, vol. 23, no. 12, 2021, doi: 10.3390/e23121597.
J. A. Pfister, P. Peda, and D. Otley, “A methodological framework for theoretical explanation in performance management and management control systems research,” Qual. Res. Account. Manag., vol. 20, no. 2, pp. 201–228, 2023, doi: 10.1108/QRAM-10-2021-0193.
J. Riptek 66 A A Sidiq and F. W. C. Riptek, “OPEN ACCESS.”
I. P. D. Suarnatha, “Sistem Pendukung Keputusan Seleksi Ketua Bem Menggunakan Metode Profile Matching,” J. Inf. Syst. Manag., vol. 4, no. 2, pp. 73–80, 2023, doi: 10.24076/joism.2023v4i2.952.
T. Penulis et al., KINERJA KARYAWAN. 2021. [Online]. Available: www.penerbitwidina.com
D. Rivaldi, F. Pulansari, and A. P. Kartika, “Analisis Pemilihan Supplier Baut Menggunakan Metode Ahp-Topsis Pt. Stechoq Robotika Indonesia,” J@ti Undip J. Tek. Ind., vol. 18, no. 2, pp. 79–87, 2023, doi: 10.14710/jati.18.2.79-87.
C. Iswanaji, M. Zidny, N. ’ Hasbi, F. Salekhah, and M. Amin, “Implementasi Analitycal Networking Process (Anp) Distribusi Zakat Terhadap Pembangunan Ekonomi Masyarakat Berkelanjutan,” J. Tabarru’ Islam. Bank. Financ., vol. 4, no. 1, p. 2021.
M. R. Pahlevi, G. Testiana, and R. A. Putra, “Sistem Pendukung Keputusan Pemilihan Kampung KB Menggunakan Metode TOPSIS,” J. Pengemb. Sist. Inf. dan Inform., vol. 4, no. 4, pp. 65–81, 2023, doi: 10.47747/jpsii.v4i4.1479.
F. Ramadhani and A. Satria, “Implementasi Simple Additive Weighting (SAW) dan Stepwise Weight Assessment Ratio Analysis (SWARA) untuk Memberikan Alternatif Terbaik dalam Pemilihan Jenis Laptop,” Wahana J. Pengabdi. Kpd. Masy., vol. 3, no. 1, pp. 32–39, 2024, doi: 10.56211/wahana.v3i1.632.
M. G. Ninu and S. J. Bulan, “KETIK : Jurnal Informatika Penerapan Metode TOPSIS Dalam Sistem Pendukung Keputusan Penerimaan Bantuan Langsung Tunai ( BLT ) Dana Desa Abstrak,” vol. 01, no. 05, pp. 15–25, 2024.


Copyright (c) 2024 Journal of Information Systems and Informatics

This work is licensed under a Creative Commons Attribution 4.0 International License.
- I certify that I have read, understand and agreed to the Journal of Information Systems and Informatics (Journal-ISI) submission guidelines, policies and submission declaration. Submission already using the provided template.
- I certify that all authors have approved the publication of this and there is no conflict of interest.
- I confirm that the manuscript is the authors' original work and the manuscript has not received prior publication and is not under consideration for publication elsewhere and has not been previously published.
- I confirm that all authors listed on the title page have contributed significantly to the work, have read the manuscript, attest to the validity and legitimacy of the data and its interpretation, and agree to its submission.
- I confirm that the paper now submitted is not copied or plagiarized version of some other published work.
- I declare that I shall not submit the paper for publication in any other Journal or Magazine till the decision is made by journal editors.
- If the paper is finally accepted by the journal for publication, I confirm that I will either publish the paper immediately or withdraw it according to withdrawal policies
- I Agree that the paper published by this journal, I transfer copyright or assign exclusive rights to the publisher (including commercial rights)