Analisis Komparatif Metode Sistem Pendukung Keputusan dalam Penentuan Pegawai Terbaik
Abstract
The process of selecting the best employees in government institutions is often conducted manually, which can lead to subjectivity and inconsistent outcomes. This study aimed to improve the objectivity and efficiency of the evaluation process by applying the Multi-Criteria Decision Making (MCDM) approach. Four methods, namely SMART, MOORA, WASPAS, and PROMETHEE, were used to compare ranking results based on eight employee performance criteria. The findings revealed that the top three employees consistently occupied the same positions across all methods, with a Kendall’s W coefficient of 0.9949 (p < 0.001), indicating an almost perfect level of agreement. The Friedman and Wilcoxon tests also confirmed no significant differences among ranking results. Based on performance and flexibility, the PROMETHEE method is recommended as the most adaptive approach for preference-based decision systems, while SMART excels in ease of implementation and computational transparency. This study reinforces comparative validation among MCDM methods as a foundation for developing data-driven decision support systems.
Kata kunci: Decision Support System; Employee Performance; MCDM; Comparative Analysis; Statistical Validation
Abstrak
Proses penilaian pegawai terbaik di instansi pemerintah sering kali dilakukan secara manual, sehingga berpotensi menimbulkan subjektivitas dan ketidakkonsistenan hasil. Penelitian ini bertujuan meningkatkan objektivitas dan efisiensi proses penilaian tersebut dengan menerapkan pendekatan Multi-Criteria Decision Making (MCDM). Empat metode, yaitu SMART, MOORA, WASPAS, dan PROMETHEE digunakan untuk membandingkan hasil peringkat berdasarkan delapan kriteria kinerja pegawai. Hasil penelitian menunjukkan bahwa ketiga pegawai terbaik secara konsisten menempati posisi yang sama pada seluruh metode dengan nilai koefisien Kendall’s W sebesar 0,9949 (p < 0,001), yang menunjukkan tingkat kesesuaian hampir sempurna. Analisis Friedman dan Wilcoxon juga menunjukkan tidak terdapat perbedaan signifikan antar hasil peringkat. Berdasarkan kinerja dan fleksibilitasnya, metode PROMETHEE direkomendasikan sebagai pendekatan paling adaptif untuk sistem berbasis preferensi, sedangkan SMART unggul dalam kemudahan implementasi dan transparansi perhitungan. Penelitian ini memperkuat validasi komparatif antar metode MCDM sebagai dasar pengembangan sistem pendukung keputusan berbasis data.
Keywords
References
R. H. Setyawati and I. Rindaningsih, "Analysis Of The Effectiveness Of Employee Performance Appraisal Through Employee Performance Targets (SKP)," International Journal Multidisciplinary (IJMI), vol. 1, no. 2, pp. 26-34, 2024.
A. Culani and A. Malaj, "Human Resource Management Is an Important Part of the Management Process," European Journal of Business and Management, vol. 15, no. 11, pp. 15-17, 2023.
K. Sampath, K. Devi, T. Ambuli and S. Venkatesan, "AI-Powered Employee Performance Evaluation Systems in HR Management," in 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India, 2024.
E. Siswanto, "Penerapan Naïve Bayes Dalam Proses Penilaian Kinerja Pegawai Klinik Utama Baitul Hikmah," Jurnal Teknologi Informasi Dan Komunikasi, vol. 12, no. 2, pp. 94-100, 2021.
W. Setiawan, N. Pranoto and K. Huda, "Employee Performance Evaluation Decision Support System with the SMART (Simple Multi-Attribute Rating Technique) Method," Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), vol. 4, no. 1, pp. 50-55, 2020.
N. A. Azhar, N. A. M. Radzi and W. S. H. M. W. Ahmad, "Multi-criteria Decision Making: A Systematic Review," Recent Advances in Electrical & Electronic Engineering, vol. 14, no. 8, pp. 779-801, 2021.
M. Dotoli, N. Epicoco and M. Falagario, "Multi-Criteria Decision Making techniques for the management of public procurement tenders: A case study," Applied Soft Computing, vol. 88, p. 106064, 2020.
S. Chakraborty, R. D. Raut, T. Rofin and S. Chakraborty, "A comprehensive and systematic review of multi-criteria decision-making methods and applications in healthcare," Healthcare Analytics, vol. 4, p. 100232, 2023.
N. N. Silaban, "Penerapan Metode MOORA dan Pengambilan Keputusan untuk Penentuan Karyawan Terbaik," Journal of Decision Support System Research, vol. 1, no. 2, pp. 45-52, 2024.
R. B. Ginting, D. Y. B. Ginting and D. P. Utomo, "Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode WASPAS," Bulletin of Information Technology (BIT), vol. 5, no. 2, pp. 136-144, 2024.
E. Butet, "Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik Pada Kantor Notaris Batu Lima Dengan Menggunakan Metode Smart," Jurnal Ilmu Komputer dan Bisnis (JIKB), vol. 12, no. 1, pp. 70-76, 2021.
S. Christian and M. Mardiani, "Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Promethee (Studi Kasus: Pt. Shen Makmur Sentosa)," JuTI: Jurnal Teknologi Informasi, vol. 2, no. 1, pp. 12-22, 2023.
N. Hendrastuty, S. Setiawansyah, M. G. An’ars, F. A. Rahmadianti, V. H. Saputra and M. Rahman, "G2M weighting: a new approach based on multi-objective assessment data (case study of MOORA method in determining supplier performance evaluation)," Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 38, no. 1, pp. 403-416, 2025.
A. Bączkiewicz, B. Kizielewicz and A. Shekhovtsov, "Methodical Aspects of MCDM Based E-Commerce Recommender System," Journal of Theoretical and Applied Electronic Commerce Research (JTAER), vol. 16, no. 6, pp. 2192-2229, 2021.
D. Mahdiana and N. Kusumawardhany, "The Combination of Analytical Hierarchy Process and Simple Multi-Attribute Rating Technique for The Selection of The Best Lecturer," in 2020 International Conference on Smart Technology and Applications (ICoSTA), Surabaya, Indonesia, 2020.
L. Gardashova dan A. Nazarov, “Development of a decision support system using advanced multi-criteria decision-making techniques,” Technology Audit and Production Reserves, vol. 1, no. 2(81), pp. 62-68, 2025.
A. Kihlgren, T. Lammgård, M. N. Pejner, F. Svensson, A.-S. Adolfsson and H. Lindner, "Psychometric evaluation of the Decision Support System (DSS) for municipal nurses encountering health deterioration among older adults," BMC Geriatrics volume 24, vol. 24, no. 283, pp. 1-9, 2024.
M. I. Bachtiar, H. Suyono and M. F. E. Purnomo, "Method Comparison In The Decision Support System Of A Scholarship Selection," Jurnal Ilmiah KURSOR, vol. 11, no. 2, pp. 75-82, 2021.
S. Nasirin, I. A. Bahar, N. M. Tuah, A. Kadir, C. Salimun and S. Yussof, "Examining Decision Support Systems (DSS) Verification Approaches of the Government Agencies in East Malaysia," Procedia Computer Science, vol. 234, pp. 1546-1552, 2024.
I. Mukhametzyanov, "On the conformity of scales of multidimensional normalization: An application for the problems of decision making," Decision Making: Applications in Management and Engineering, vol. 6, no. 1, pp. 399-341, 2023.
A. Aytekin, "Comparative Analysis of the Normalization Techniques in the Context of MCDM Problems," Decision Making: Applications in Management and Engineering, vol. 4, no. 2, pp. 1-25, 2021.
D. D. Trung, “Development of data normalization methods for multi-criteria decision making: applying for MARCOS method,” Manufacturing Review, vol. 9, no. 2022, p. 22, 2022.
A. A. Batubara and S. Samsudin, "Implementasi Metode SAW Dan VIKOR Dalam Pemilihan Staff Crew Outlet Pada Halal Mart," Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, vol. 13, no. 2, pp. 1389-1402, 2024.
M. Ardi, J. Lahallo and E. L. Tatuhey, "Sistem Pendukung Keputusan Seleksi Penerimaan Pegawai Kontrak Di KPU Menggunakan Metode SMART," Progresif: Jurnal Ilmiah Komputer, vol. 20, no. 2, pp. 806-817, 2024.
A. S. Renyaan, P. Hasan and E. Pawan, "Sistem Pendukung Keputusan Tingkat Kecanduan Ganja Dengan Rehabilitas Yang Ditentukan Menggunakan Metode Moora," Progresif: Jurnal Ilmiah Komputer, vol. 20, no. 1, pp. 555-570, 2024.
D. P. Harahap and T. Triase, "Kombinasi Metode Waspas dan Moora Dalam Menentukan Calon Kepala Desa Hiteurat Padang Lawas Utara," SISFOKOM, vol. 11, no. 3, pp. 342-348, 2022.
R. Y. Ambara, R. Supardi and D. Lianda, "Sistem Pendukung Keputusan Dalam Menentukan Tingkat Keberhasilan Guru Di Smk Negeri 3 Lahat Menggunakan Metode Waspas," Journal of Science and Social Research , vol. 8, no. 1, pp. 23-30, 2025.
I. G. I. Sudipa, H. Wijaya and R. J. Rumandan, "Penerapan Multi-Attribute Decision Making Menggunakan Metode WASPAS Pada Pemilihan Benih Sayuran," Journal of Information System Research (JOSH), vol. 4, no. 1, pp. 267-276, 2022.
E. Zunaidi and S. Wibisono, "SPK Pemilihan Pestisida Tanaman Bawang Merah Dengan Metode WASPAS," ELKOM, vol. 15, no. 1, pp. 25-33, 2022.
N. R. Muntiari, S. Sunardi and A. Fadlil, "Analisis Penentuan Penginapan dengan Metode AHP dan Promethee," Jurnal Sistem Informasi Bisnis, vol. 10, no. 2, pp. 173-179, 2020.
S. Abidah, M. F. Maulana and W. Ariannor, "Evaluation of Decision Support System Models in Tourism Ambassador Selection," Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, vol. 14, no. 1, pp. 477-484, 2025.
A. S. Bhaskar and A. Khan, "Comparative analysis of hybrid MCDM methods in material selection for dental applications," Expert Systems with Applications, vol. 209, p. 118268, 2022.
S. H. Mian, E. A. Nasr, K. Moiduddin, M. Saleh, M. H. Abidi and H. Alkhalefah, "Assessment of consolidative multi-criteria decision making (C-MCDM) algorithms for optimal mapping of polymer materials in additive manufacturing: A case study of orthotic application," Heliyon, vol. 10, no. 10, p. e30867, 2024.
T. V. Dua, D. V. Duc, N. C. Bao and D. D. Trung, "Integration of objective weighting methods for criteria and MCDM methods: application in material selection," EUREKA: Physics and Engineering, no. 2, pp. 131-148, 2024.
L. D. Bao, V. D. Binh, D. V. Thanh, N. T. Tu and L. A. Tung, "Application of Multi Criteria Decision Making Methods for the Determination of the Best Dressing Factors for Surface Grinding Hardox 500," Engineering, Technology & Applied Science Research, vol. 15, no. 1, pp. 20222-20228, 2025.
S. S. Goswami, D. K. Behera, A. Afzal, A. R. Kaladgi, S. A. Khan, P. Rajendran, R. Subbiah and M. Asif, "Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS," Symmetry, vol. 13, no. 8, p. 1331, 2021.
H. Mina, D. Kannan, S. M. Gholami-Zanjani and M. Biuki, "Transition towards circular supplier selection in petrochemical industry: A hybrid approach to achieve sustainable development goals," Journal of Cleaner Production, vol. 286, p. 125273, 2021.
A. Katrancı, N. Kundakcı and D. Pamucar, "Financial performance evaluation of firms in BIST 100 index with ITARA and COBRA methods," Financial Innovation, vol. 11, no. 34, pp. 1-28, 2025.
B. Matić, M. Marinković, S. Jovanović, S. Sremac and Ž. Stević, "Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure," Buildings, vol. 12, no. 7, p. 1059, 2022.
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