The Decision Support System for Cashier Recruitment Implements the Multi-Attribute Utility Theory Method
- Juanda Hakim Lubis Universitas Pembinaan Masyarakat Indonesia, Medan, Indonesia
-
Mesran Mesran
*
Universitas Budi Darma, Medan,
Indonesia
https://orcid.org/0000-0002-8886-2013
- Cindy Astika Siregar Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
CV.Sumber Segar Lestari is a five-star supermarket that serves the best products on the market, namely imported products. High quality human resources are very necessary to improve a company. In searching for quality human resources according to the company's needs, CV.Sumber Segar Lestari is still carried out manually, namely the cashier reception process at CV.Sumber Segar Lestari (Brastagi Supermarket) uses a cashier reception system based on the Company's Operational Standards guidelines. Starting from the cashier acceptance process by selecting each incoming job application. Then the process of evaluating prospective cashier employees is carried out, including: examining applications and required documents, conducting written tests, interviews, and deciding whether to accept or reject the prospective cashier employee. This method of assessment takes a long time and is prone to errors. Especially if many applicants submit applications. In addition, the assessment process and results can only be seen by personnel, it is very possible to manipulate test results. To solve this problem, this research uses the Multi Attribute Utility Theory method. The Multi Attribute Utility Theory method is a quantitative comparison method that usually combines measurements of different risk costs and benefits. The Multi Attribute Utility Theory method is used to provide an assessment and consideration of the best alternative from various existing options. Processing values using the death method will produce rankings. The final result obtained was alternative A3 which had the highest final score of 0.595 in the name of Mulia Dinda Ramadani
Downloads
References
I. Alfansyah, J. Sibagariang, R. Fadillah, and D. Assarani, “Sistem Pendukung Keputusan Seleksi Dosen Non Komputer Terbaik Menerapkan Metode SAW,” J. Decis. Support Syst. Res., vol. 1, no. 1, pp. 30–36, 2023.
M. Mesran, A. Triayudi, D. Nofrisa, and R. Fadillah, “Penerapan Metode EXPROM II Dalam Menentukan Tempat Wisata Pantai Terbaik,” J. Sist. Komput. dan Inform., vol. 5, no. 2, pp. 337–346, 2023.
D. A. Megawaty and A. Silitonga, “Decision Support System Feasibility for Promotion using the Profile Matching Method,” J. Data Sci. Inf. Syst., vol. 1, no. 2, pp. 50–56, 2023.
A. Berelaku, D. C. Mongkau, and D. Moeis, “Analisis Pemilihan Marketplace Terbaik Di Kalangan Remaja Menggunakan Metode Multi-Attribute Utility Theory di Kota Makassar,” Digit. Transform. Technol., vol. 3, no. 2, pp. 371–379, 2023.
M. A. Abdullah and R. T. Aldisa, “Penerapan Metode MOOSRA Dalam Penentuan Penerimaan Frontliner Menggunakan Pembobotan Metode ROC,” JURIKOM (Jurnal Ris. Komputer), vol. 10, no. 1, pp. 330–337, 2023.
S. Sukamto and A. Fitriansyah, “Application of the MAUT Method to Determine Eligibility for Accredited School Libraries,” CESS (Journal Comput. Eng. Syst. Sci., vol. 8, no. 2, pp. 384–392.
Mesran and D. P. Indini, “Analisis Dalam Pendukung Keputusan Seleksi Content Creator Mahasiswa Terbaik Menerapkan Metode EDAS dan ROC,” J. Comput. Syst. Informatics, vol. 4, no. 4, pp. 912–921, 2023, doi: 10.47065/josyc.v4i4.4093.
M. N. Rifqi et al., “Sistem Pendukung Keputusan Penentuan Lokasi Pabrik Baru Menggunakan Metode ROC dan MAUT,” vol. 5, no. 2, pp. 315–324, 2024, doi: 10.47065/josyc.v5i2.4893.
D. Tampake, M. Malau, and A. Iskandar, “Penerapan Metode Metode Multi Attribute Utillity (MAUT) dengan Pembobotan Rank Order Centroid (ROC) dalam Pendukung Keputusan Pemilihan Mahasiswa Berprestasi,” J. Inf. Syst. Res., vol. 5, no. 2, pp. 531–541, 2024.
W. Saputra, S. A. Wardana, H. Wahyuda, and D. A. Megawaty, “Penerapan Kombinasi Metode Multi-Attribute Utility Theory (MAUT) dan Rank Sum Dalam Pemilihan Siswa Terbaik,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 2, no. 1, pp. 12–21, 2024.
M. Z. Lubis, R. Fadillah, and R. M. F. Lubis, “Decision Support System for Determining New Branch Locations Applying the Multi Attribute Utility Theory (MAUT) Method,” Int. J. Informatics Data Sci., vol. 1, no. 1, pp. 36–45, 2023.
A. A. Kusuma, R. Maya, and F. Lubis, “Decision Support System for Determining New Branch Location Applying the MAUT Method with ROC Weighting,” vol. 2, no. 2, pp. 67–76, 2023, doi: 10.61944/bids.v2i2.76.
M. Yahya, J. M. Parenreng, F. Fathahillah, M. S. N. Wahid, and A. Wahid, “A Decision Support System to Determine the Familiy’s Economic Status for Certificate of The Low-Income Household Using MAUT Method,” J. Inovtek Polbeng Seri Inform., vol. 7, no. 2, pp. 185–192, 2022.
W. H. B. L. Batu, M. Mesran, and S. Aripin, “Sistem Pendukung Keputusan Rekruitmen Tenaga Kerja Mandiri Menerapkan Metode OCRA,” J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 6, no. 2, pp. 1183–1192, 2022.
S. Erlinda and T. A. Fitri, “Recommendations For Repairing Uninhabitable Homes Using the Multi-Attribute Utility Theory ( MAUT ) Method,” vol. 5, no. 1, pp. 43–50, 2022, doi: 10.36378/jtos.
A. A. Nasution, R. T. Aldisa, M. Mesran, and R. Fadillah, “Penerapan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Penentuan Pembimbing Skripsi Terbaik,” J. Inf. Syst. Res., vol. 5, no. 2, pp. 614–620, 2024.
J. Afriany, K. Tampubolon, and R. Fadillah, “Penerapan Metode TOPSIS Penentuan Pemberian Mikro Faedah Bank Syariah Indonesia (BSI),” TIN Terap. Inform. Nusant., vol. 2, no. 3, pp. 129–137, 2021.
R. Fadillah, A. N. Purnama, W. P. Mahardika, and M. Mesran, “Sistem Pendukung Keputusan Penentuan Siaran Edukasi di Televisi Menggunakan Metode WASPAS (Weight Aggregated Sum Product Assesment),” JIKTEKS J. Ilmu Komput. dan Teknol. Inf., vol. 1, no. 3, pp. 8–16, 2023.
Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, “Decision support systems for agriculture 4.0: Survey and challenges,” Comput. Electron. Agric., vol. 170, p. 105256, 2020.
F. S. Amalia and D. Alita, “Application of SAW Method in Decision Support System for Determination of Exemplary Students,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 1, no. 1, pp. 14–21, 2023.
V. H. Valentino, H. S. Setiawan, A. Saputra, Y. Haryanto, and A. S. Putra, “Decision Support System for Thesis Session Pass Recommendation Using AHP (Analytic Hierarchy Process) Method,” Int. J. Educ. Res. Soc. Sci., vol. 2, no. 1, pp. 215–221, 2021, doi: 10.51601/ijersc.v2i1.35.
A. P. Wihartati and T. F. Efendi, “Decision Support System for Share Investment Using The Capital Assetpricing Method (CAPM),” Int. J. Comput. Inf. Syst., vol. 2, no. 1, pp. 19–23, 2021.
F. T. Wulandari, A. Triayudi, M. Mesran, and K. Sussolaikah, “Sistem Pendukung Keputusan Penilaian Kinerja Dosen Menggunakan Metode (COPRAS),” J. Inf. Syst. Res., vol. 5, no. 2, pp. 592–602, 2024.
D. Assrani, A. Triayudi, H. Simanjuntak, F. O. Panjaitan, and M. Mesran, “Sistem Pendukung Keputusan Seleksi Pertukaran Mahasiswa Dalam Mendukung Kampus Merdeka Menerapkan Metode ROC dan TOPSIS,” J. Inf. Syst. Res., vol. 5, no. 2, pp. 621–630, 2024.
B. Okmarizal and S. Defit, “Implementasi Metode AHP Dan Maut untuk Rekomendasi Produk Tupperware Terlaris,” J. KomtekInfo, pp. 109–115, 2023.
E. Y. Dewasasmita and H. Hendry, “Perbandingan Metode SAW, MAUT, ORESTE, TOPSIS dalam Pendukung Keputusan Pembangunan Supermarket di Kabupaten Pati,” J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 7, no. 2, pp. 555–569, 2023.
A. Rifqi and R. T. Aldisa, “Analisa Perbandingan Metode MAUT dan Metode TOPSIS Dengan Menggunakan Pembobotan ROC Dalam Sistem Pendukung Keputusan Pemilihan Calon Kepala Desa,” J. Inf. Syst. Res., vol. 4, no. 4, pp. 1413–1422, 2023.
M. A. Bianto and M. R. Aprillya, “Sistem Pendukung Keputusan Identifikasi Daerah Potensi Banjir Dengan Metode Multi Attribute Utility Theory ( Studi Kasus : Kabupaten Lamongan ),” pp. 116–124, 2023.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel The Decision Support System for Cashier Recruitment Implements the Multi-Attribute Utility Theory Method
Pages: 257−264
Copyright (c) 2024 Juanda Hakim Lubis, Mesran, Cindy Astika Siregar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
