Pemanfaatan Metode WASPAS dalam Pemilihan Coffeeshop Terbaik di Siantar
DOI:
https://doi.org/10.64366/dss.v2i3.100Keywords:
WASPAS; Decision Support System; Coffee Shop Selection; Multi-Criteria; Pematang SiantarAbstract
This study aims to optimize the decision-making process in selecting the best coffee shop in Pematang Siantar by applying the Weighted Aggregated Sum Product Assessment (WASPAS) method. In the era of increasingly competitive coffee shop businesses, consumers need a clear and measurable guide to determine the most suitable choice according to their preferences. This research offers a solution by utilizing the WASPAS method, which is known to be effective in solving multi-criteria decision-making problems. The evaluation process is conducted based on five main criteria considered relevant by consumers: facilities, comfort, service, price, and location. Data were collected through surveys involving active participation from local consumers in Pematang Siantar. The collected data were then quantitatively analyzed using the WASPAS method to determine consumer preferences based on the relative weights of each criterion. The results show that Inhaven Specialty Coffeebar was identified as the best coffee shop with the highest WASPAS score of 3.2. These findings confirm that the WASPAS method can be relied upon as an effective and efficient decision-making tool in the context of coffee shop selection. This study is expected to provide dual benefits both for consumers as a reference in choosing a coffee shop that meets their needs, and for coffee shop owners in efforts to improve service quality, competitiveness, and customer satisfaction. Furthermore, this research can also serve as a reference for future studies with broader and more complex scopes.
Downloads
References
A. Gautama Himawan dan R. A. Rahadi, “Customer Preferences on Coffee Shop Consumptions: a Conceptual Model,” Adv. Int. J. Business, Entrep. SMEs, vol. 2, no. 3, hal. 19–32, 2020, doi: 10.35631/aijbes.23003.
L. Ariyanto, P. Sokibi, dan V. D. Kartika, “Sistem Pendukung Keputusan Dengan Menggunakan Metode Simple Additive Weighting pada Excelso Coffee Rinjani Semarang,” ICIT J., vol. 10, no. 1, hal. 12–21, 2024, doi: 10.33050/icit.v10i1.2814.
J. Hutagalung, V. W. Sari, dan Z. Aini, “Selection of the Best Coffee Shop Using the Vikor Method,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 9, no. 4, hal. 605–612, 2023, doi: 10.33330/jurteksi.v9i4.2500.
M. A. Abdullah dan R. T. Aldisa, “Penerapan Metode MABAC pada Penentuan Coffee Shop Terbaik,” J. Ris. Komputer), vol. 10, no. 1, hal. 338–347, 2023, doi: 10.30865/jurikom.v10i1.5820.
P. Purwadi, B. Devitasari, dan D. Caisar Darma, “Store Atmosphere, SERVQUAL and Consumer Loyalty,” SEISENSE J. Manag., vol. 3, no. 4, hal. 21–30, 2020, doi: 10.33215/sjom.v3i4.385.
A. Wardana dan R. A. Putri, “Implementation of the Preference Selection Index (Psi) Method in Courier Partner Recruitment,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 10, no. 3, hal. 411–418, 2024, doi: 10.33330/jurteksi.v10i3.3212.
B. Anwar, M. Giatman, H. Maksum, A. Hadi Nasyuha, M. Doktoral, dan P. Teknologi Kejuruan, “Analisis Metode WASPAS Dalam Pemilihan Pimpinan Perusahaan,” vol. 7, no. 1, hal. 138–144, 2023, doi: 10.30865/mib.v7i1.5170.
P. A. Soleha, R. T. Aldisa, dan M. A. Abdullah, “Pemilihan Waitress Resto Akul Terbaik Menerapkan Metode WASPAS dengan Pembobotan ROC,” J. Inf. Syst. Res., vol. 4, no. 3, hal. 903–913, 2023, doi: 10.47065/josh.v4i3.3375.
A. Pradana et al., “Sistem Pendukung Keputusan Dalam Menilai Kinerja Tenaga Pendidikan Terbaik Menggunakan Metode WASPAS,” Komik, vol. 5, no. 1, hal. 168–170, 2021, doi: 10.30865/komik.v5i1.3666.
T. S. M. Jannah, A. Muhazir, dan S. Kusnasari, “Sistem Pendukung Keputusan Pemutusan Hubungan Kerja Menggunakan Metode WASPAS,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, no. 4, hal. 439, 2022, doi: 10.53513/jursi.v1i4.5736.
N. K. Daulay, B. Intan, dan M. Irvai, “Comparison of the WASPAS and MOORA Methods in Providing Single Tuition Scholarships,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, hal. 84–94, 2021, doi: 10.30865/ijics.v5i1.2969.
M. Ramachandran, V. Saravanan, dan C. Raja, “A Descriptive and Historical Study of Bibliography with Applications to Medical Science Using WASPAS Method,” J. Innov. Teach. Learn., vol. 2, no. 3, hal. 30–37, 2023, doi: 10.46632/jitl/2/3/5.
E. W. Sari, “Determining the Eligibility of Livestock Assistance using the Weighted Aggregated Sum Product Assessment Method,” J. Comput. Scine Inf. Technol., hal. 137–142, 2022, doi: 10.35134/jcsitech.v8i4.53.
E. W. Ambarsari, H. Rohayani, A. I. A. Lubis, dan R. M. F. Lubis, “Decision Support System for Determining the Best Coffee Shop Applying the OCRA Method using ROC Weighting,” J. Comput. Informatics Res., vol. 3, no. 1, hal. 126–132, 2023, doi: DOI 10.47065/comforch.v3i1.970.
T. H. B. Aviani dan A. T. Hidayat, “Sistem Pendukung Keputusan Seleksi Pemberian Uang Kuliah Tunggal Menerapkan Metode WASPAS,” J. Sist. Komput. dan Inform., vol. 2, no. 1, hal. 102–109, 2020, doi: 10.30865/json.v2i1.2482.
S. Barus, V. M. Sitorus, D. Napitupulu, M. Mesran, dan S. Supiyandi, “Sistem Pendukung Keputusan Pengangkatan Guru Tetap Menerapkan Metode Weight Aggregated Sum Product Assesment (WASPAS),” J. Media Inform. Budidarma, vol. 2, no. 2, hal. 10–15, 2018, doi: 10.30865/mib.v2i2.594.
S. Sunardi, R. Umar, dan D. S. Nasution, “Analisis Penilaian Kinerja Karyawan Menggunakan Metode WASPAS,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 3, hal. 697, 2022, doi: 10.30865/jurikom.v9i3.4168.
F. U. C. Mustofa, A. L. Wibowo, S. Saraswati, dan F. R. A. Puteri, “Sistem Pendukung Keputusan Menggunakan Metode Analytical Hierarchy Process (AHP) Untuk Pemilihan E-Wallet,” J. Manaj. Inform. Sist. Inf. dan Teknol. Komput., vol. 2, no. 1, hal. 136–142, 2023, doi: https://doi.org/10.70247/jumistik.v2i1.27.
I. Gultom, S. N. Arief, dan D. Saripurna, “Sistem Pendukung Keputusan Pemilihan Racun Hama Terbaik Dengan Metode WASPAS,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 2, hal. 324, 2023, doi: 10.53513/jursi.v2i2.5628.
M. I. Febriansyah, M. D. Dahria, dan R. Kustini, “Decision Support System dalam Pemilihan Team Leader Shift Unggulan Menggunakan Metode WASPAS,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 21, no. 2, hal. 60, 2022, doi: 10.53513/jis.v21i2.5959.
V. Simi, D. Lazarevi, dan M. Dobrodolac, “Picture fuzzy WASPAS method for selecting last-mile delivery mode?: a case study of Belgrade,” Eur. Transp. Res. Rev., vol. 13, no. 43, hal. 1–22, 2021, doi: https://doi.org/10.1186/s12544-021-00501-6.
S. M. Harahap, I. J. T. Situmeang, S. Hummairoh, dan Mesran, “Implementation of Weighted Aggregated Sum Product Assessment (WASPAS) in Determining the Best Graduates,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, hal. 44–51, 2021, doi: 10.30865/ijics.v5i1.2848.
E. Zunaidi dan Setyawan Wibisono, “SPK Pemilihan Pestisida Tanaman Bawang Merah Dengan Metode WASPAS,” Elkom J. Elektron. dan Komput., vol. 15, no. 1, hal. 25–33, 2022, doi: 10.51903/elkom.v15i1.638.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Pemanfaatan Metode WASPAS dalam Pemilihan Coffeeshop Terbaik di Siantar
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2025 Duha Lisa, Yosia Meteu, Zain Nur Arif Nuh Asrafi, Eka Irawan
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).
