Pendukung Keputusan Dengan Perbandingan Metode WASPAS dan Metode MAUT pada Pemilihan Karyawan Baru
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Safarul Ilham
*
Institut Teknologi dan Bisnis Indonesia, Medan,
Indonesia
(*) Corresponding Author
Abstract
In searching for employee candidates who meet the desired criteria, a solution is needed to select prospective employees. The solution that can be done is to create a decision support system to simplify the process of selecting employee files that have been received. Decision Support Systems (DSS) that can help companies to select prospective employees who register using the comparison of the Weight Aggregated Sum Product Assessment (WASPAS) method is a combination of the WP and SAW methods, where the WP method is a method that uses multiplication in connecting the value of each attribute that must previously be raised to the power of the attribute's weighted value, while the SAW method is generally known as a weighted sum that focuses on calculating the sum of the weighted values of alternative criteria, with the Multi-Utility Attribute Theory (MAUT) method being a quantitative method that is used as a basis for decision making through systematic procedures that identify and analyze several variables. In its application, the decision support system, comparing the WASPAS and MAUT methods in selecting prospective employees according to the given criteria, yielded alternative A5, but with different scores. The WASPAS method scored alternative A5 at 0.890, while the MAUT method scored 0.875.
References
R. Wahyuni, S. Defit, and G. W. Nurcahyo, “The Multi Attribute Utility Theory (Death) Method In The Decision Of The Distributor Distributor Selection (Metode Multi Attribute Utility Theory (Maut) Dalam Keputusan Pemilihan Distributor Barang),” J. KomtekInfo, vol. 7, no. 2, pp. 84–100, 2020, doi: 10.35134/komtekinfo.v7i2.69.
R. Kaban and D. J. M. Sembiring, “Sistem Pendukung Keputusan dengan Linear Programming untuk Optimasi Media Promosi,” J. Komput. dan Inform., vol. 6, pp. 117–129, 2024.
M. Destari, D. J. Sembiring, R. B. Ginting, and M. B. Ginting, “Decision Support System for Selecting the Best Employees Using the Analytical Hierarchy Process Method,” JCEIT J. Comput. Eng. Inf. Technol., vol. 1, no. 3, pp. 79–90, 2025, doi: 10.35891/jkie.v10i2.6194.
Dinda Fadila, D. J. Sembiring, R. B. Ginting, M. B. Ginting, and S. Ilham, “Sistem Pendukung Keputusan Penentuan Alokasi Dana Desa dengan Metode Analytical Hierarchy Process (AHP),” JITSI J. ilmu Komput., vol. 1, no. 1, pp. 18–26, 2025.
R. Liza and U. H. Medan, “Analisis Pencarian Lokasi Ekspansi Pembukaan Cabang Trust Vape Store Guna Membangun Citra Brand Menggunakan Sistem Pendukung Keputusan Dengan Perbandingan Metode WASPAS dan MAUT,” vol. 6341, no. November, pp. 38–45, 2022.
R. T. Aldisa, “Analisis Perbandingan Metode ROC-WASPAS dan Entropy-WASPAS dalam Keputusan Pemberian Reward Kinerja Pegawai Hotel,” Build. Informatics, Technol. Sci., vol. 4, no. 3, pp. 1212–1223, 2022, doi: 10.47065/bits.v4i3.2562.
N. Onella, “Implementasi MAUT Dan ROC Untuk Menentukan Pemenang Wisata Rohani Tahunan Di BTPN Putri Hijau Medan,” vol. 1, no. 2, 2023.
A. Halawa, A. Minta, R. Zega, F. Telaumbanua, and M. Syahrizal, “Sistem Pendukung Keputusan Rekomendasi Aplikasi Editing Foto Dengan Menerapkan Metode MAUT Dan Pembobotan ROC,” Nas. Teknol. Inf. dan Komputer), vol. 6, no. 1, 2022, doi: 10.30865/komik.v6i1.5762.
H. Amalia, A. Puspita, I. Faridah, S. Kurniasari, and Y. Yuningsih, “Penerapan Metode AHP untuk Sistem Pendukung Keputusan Pemilihan Siswa Teladan,” Infotek J. Inform. dan Teknol., vol. 8, no. 1, pp. 172–180, 2025.
R. B. Ginting, D. Y. B. Ginting, and D. P. Utomo, “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode WASPAS,” Bull. Inf. Technol., vol. 5, no. 2, pp. 2091–2096, 2024, doi: 10.36040/jati.v8i2.9359.
D. Y. br Ginting, S. R. Danur, D. P. Utomo, E. F. R. Lubis, S. N. Sari, and D. R. D. Siregar, “Penerapan Metode Multi-Objective Optimization On The Basis Of Ratio Analysis Dalam Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Klinik Kecantikan,” Bull. Inf. Technol., vol. 5, no. 3, pp. 211–216, 2024, doi: 10.59697/jik.v4i1.344.
I. A. Rahman, “Tren Pengembangan Sistem Pendukung Keputusan Metode Simple Additive Weighting: Systematic Literature Review,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 7, no. 1, pp. 29–35, 2025, doi: 10.47233/jteksis.v7i1.1727.
J. R. Ilmiah, F. Ilham, S. Lina, and M. Sitio, “Sistem Pendukung Keputusan Pemilihan Obat Berdasarkan Gejala Penyakit Menggunakan Metode AHP Farizi,” SENTRI J. Ris. Ilm., vol. 4, no. 8, pp. 1289–1298, 2025.
D. Y. Br Ginting and Nirwan Sinuhaji, “Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Penerima Beasiswa Yayasan Dengan Metode AHP,” Bull. Comput. Sci. Res., vol. 3, no. 5, pp. 372–379, 2023, doi: 10.47065/bulletincsr.v3i5.282.
F. Mohammadi, H. Mahmoudi, Y. Ranjbaran, and F. Ahmadzadeh, “Compilation and prioritizing human-wildlife conflict management strategies using the WASPAS method in Iran,” Environ. Challenges, vol. 7, no. November 2021, p. 100482, 2022, doi: 10.1016/j.envc.2022.100482.
K. Rudnik, G. Bocewicz, A. Kucińska-Landwójtowicz, and I. D. Czabak-Górska, “Ordered fuzzy WASPAS method for selection of improvement projects,” Expert Syst. Appl., vol. 169, 2021, doi: 10.1016/j.eswa.2020.114471.
N. K. Daulay, “Penerapan Metode Waspas Untuk Efektifitas Pengambilan Keputusan Pemutusan Hubungan Kerja,” J. Sist. Komput. dan Inform., vol. 2, no. 2, pp. 196–201, 2021, doi: 10.30865/json.v2i2.2773.
R. Khalida, B. Bangun, M. Mesran, and N. Oktari, “Penerapan Metode ROC dan Weighted Aggregated Sum Product Assesment (WASPAS) dalam Penerimaan Asisten Perkebunan,” J. Media Inform. Budidarma, vol. 5, no. 3, p. 937, 2021, doi: 10.30865/mib.v5i3.3092.
R. Ramadiani and A. Rahmah, “Sistem pendukung keputusan pemilihan tenaga kesehatan teladan menggunakan metode multi-attribute utility theory,” Regist. J. Ilm. Teknol. Sist. Inf., vol. 5, no. 1, pp. 1–12, 2019, doi: 10.26594/register.v5i1.1273.
A. Gunawan, “Implementasi Metode Multi Attribute Utility Theory (Maut) Pada Sistem Pendukung Keputusan Pemilihan Hotel Murah Terbaik Di …,” 2020.
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