Addict Coffee Barista Recruitment Decision Support System Using the ARAS Method


  • Mesran Mesran Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia
  • Riszki Fadillah Institut Teknologi dan Kesehatan Ika Bina, Rantoprapat, Indonesia
  • Riski Ferita Wahyu * Mail Universitas Budi Darma, Medan, Indonesia
  • (*) Corresponding Author
Keywords: DSS; Recruitment; Barista; ARAS Method

Abstract

Barista is a person who works in a coffee shop as a delicious coffee maker. So it is necessary to recruit baristas who can work in coffee shops and have responsibilities that not only mix coffee but also have skills in processing coffee beans. The problem in the barista recruitment process is the process of determining barista candidates who are only selected individually so that it is less accurate to get barista candidates who have the expected skills so that it can have an impact on opinions on the coffee shop. So the solution is provided through a decision support system, a highly interactive computer-based system that assists in making a decision to utilise data and models in solving unstructured and semi-structured problems. The method used in making these decisions is the Additive Ratio Assessment Method (ARAS). A total of 11 people who will become data samples and five criteria are used as rules for assessing (selecting). The ARAS method is able to provide maximum results to obtain superior barista recruitment with a result of 5,342, namely A1 as the selected alternative in barista recruitment after going through the method application stage.

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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, 2023.

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.

A. Karim, S. Esabella, and K. Kusmanto, “Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan …,” J. Media …, vol. 5, pp. 1674–1687, 2021, doi: 10.30865/mib.v5i4.3265.

W. Harry, B. Lumban, R. Adrian, F. S. Simanjuntak, and K. Yudha, “Sistem Pendukung Keputusan Penentuan Mahasiswa Penerima Bantuan UKT Dengan Menerapkan Metode ROC dan MAUT,” pp. 15–21, 2021.

A. Iskandar, “Penyeleksian Penerimaan Teleservice Representative dengan Penerapan Metode ARAS dan Pembobotan ROC,” JURIKOM (Jurnal Ris. Komputer), vol. 10, no. 2, pp. 548–557, 2023.

P. A. Sholeha et al., “Penerapan Sistem Pendukung Keputusan Metode ROC dan ARAS dalam Seleksi Tim Kreatif Industri,” vol. 5, no. 2, 2024, doi: 10.47065/josh.v5i2.4752.

S. Sintaro, “Kombinasi Multi-Objective Optimization on the basis of Ratio Analysis ( MOORA ) dan PIPRECIA dalam Seleksi Penerimaan Barista,” vol. 3, pp. 13–23, 2024.

H. Syahputra, M. Syahrizal, S. Suginam, S. D. Nasution, and B. Purba, “SPK Pemilihan Konten Youtube Layak Tonton Untuk Anak-Anak Menerapkan Metode Additive Ratio Assessment (ARAS),” Semin. Nas. Teknol. Komput. Sains, vol. 1, no. 1, pp. 678–685, 2019,

L. Handayani, M. Syahrizal, and K. Tampubolon, “Pemilihan Kepling Teladan Menerapkan Metode Rank Order Centroid (Roc) Dan Metode Additive Ratio Assessment (Aras) Di Kecamatan Medan Area,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, 2019.

J. Hutagalung, D. Nofriansyah, and M. A. Syahdian, “Penerimaan Bantuan Pangan Non Tunai (BPNT) Menggunakan Metode ARAS,” J. Media Inform. Budidarma, vol. 6, no. 1, pp. 198–207, 2022.

B. Okmarizal and S. Defit, “Implementasi Metode AHP Dan Maut untuk Rekomendasi Produk Tupperware Terlaris,” J. KomtekInfo, pp. 109–115, 2023.

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.

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.

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.

A. D. Wahyudi, “Analisis Kepuasan Terhadap Pelayanan Supplier Menggunakan Metode A New Additive Ratio Assessment (ARAS),” J. Artif. Intell. Technol. Inf., vol. 2, no. 1, pp. 1–13, 2024.

H. K. Ginting, F. Rizky, and M. Syaifuddin, “Sistem Pendukung Keputusan Untuk Menentukan Ikan Cupang Dengan Nilai Jual Tinggi Menggunakan Metode Aras,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 3, no. 1, pp. 1–11, 2024.

M. A. Simanungkalit, I. Zulkarnain, and V. W. Sari, “Pemilihan Lahan Pada Tanaman Cabai Menggunakan Metode Additive Ratio Assessment (ARAS),” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 3, no. 2, pp. 111–124, 2024.

Y. A. Singgalen, “Perbandingan Metode ARAS dan EDAS dalam Menghasilkan Rekomendasi Layanan Akomodasi Hotel,” J. Comput. Syst. Informatics, vol. 5, no. 1, pp. 155–164, 2023.

Y. A. Singgalen, “Penerapan Metode Additive Ratio Assessment (ARAS) dan Ranking of Centroid (ROC) dalam Pemilihan Layanan Akomodasi dan Local Cuisine,” J. Comput. Syst. Informatics, vol. 5, no. 1, 2023.

J. Pragantha and M. Dolok Lauro, “SPK REKRUTMEN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEBSITE” 2022.

S. Yakub, P. S. Ramadhan, S. Zahara, and J. Halim, “Analisis Sistem Pendukung Keputusan Menentukan Kualitas Pelayanan Pada Hotel Grandhika Menggunakan Metode Customer Satisfaction Index dan Service Quality,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 19, no. 2, p. 85, 2021, doi: 10.53513/jis.v19i2.2619.

Y. K. Gulo, “Sistem Pendukung Keputusan Pemilihan Calon Barista Dengan Menggunakan Metode DEMATEL Dan WASPAS (Studi Kasus: Coffee Corner Medan),” KLIK Kaji. Ilm. Inform. dan Komput., vol. 1, no. 5, pp. 210–217, 2021.


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Article History
Submitted: 2024-11-11
Published: 2024-11-30
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