Sistem Pendukung Keputusan Seleksi Pemilihan Pemain Tim Futsal Menggunakan Metode ROC dan ARAS
Abstract
Futsal's popularity remains undiminished, captivating communities, including school environments like SMK Unitomo Surabaya. In this school, building a strong futsal team is the cornerstone of achieving success. However, manual player selection processes often encounter obstacles, such as inefficiency and potential subjectivity. Often, coaches do not record selection results, leading them to evaluate selections subjectively.Therefore, this research presents a solution in the form of a Decision Support System (DSS) to assist coaches in identifying potential core futsal players. This DSS integrates two cutting-edge methods: Rank Order Centroid (ROC) and Additive Ratio Assessment (ARAS). The ROC method plays a role in data weighting, assigning measurable values to each selection criterion. On the other hand, ARAS plays a role in determining the best alternative by comparing the overall value of each alternative with the optimal value of the entire series. Research results demonstrate that this DSS can generate rankings of potential core futsal players with an accuracy level of 0.8753324. This indicates that this DSS has great potential to assist coaches in selecting the right players and increasing the team's chances of winning.
Downloads
References
A. Arrahman, “Survei Kadar Hemoglobin Setelah Bermain Futsal di Dalam Ruangan (Indoor) dan di Luar Ruangan (Outdoor) pada Tim Futsal SMAN 1 Watansoppeng,” J. Olympia, vol. 2, no. 1, 2020, doi: 10.33557/jurnalolympia.v2i1.882.
M. R. A. Prasetya and H. H. Wijaya, “Esports Sebagai Kategori Olahraga Kompetitif Atau Sekedar Kegiatan Rekreasi Menurut Definisi Dan Regulasi Di Indonesia,” JOSEPHA J. Sport Sci. Phys. Educ., vol. 2, no. 2, 2021, doi: 10.38114/josepha.v2i2.154.
D. Handoko, “Sistem Pendukung Keputusan Pemilihan Kapten Tim Futsal Dengan Metode Analytical Hierarchy Process (AHP),” J. Ilm. Inform. dan Ilmu Komput., vol. 1, no. 2, pp. 77–86, 2022, doi: 10.58602/jima-ilkom.v1i2.11.
H. Setiawan, D. N. Sholihaningtias, and F. R. Asma, “Sistem Pendukung Keputusan Seleksi Pemain Menggunakan Metode Profile Matching Pada Bahar Futsal,” Semnas Ristek (Seminar Nas. Ris. dan Inov. Teknol., vol. 6, no. 1, 2022, doi: 10.30998/semnasristek.v6i1.5768.
M. L. C. Buono and A. Latif, “IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE ANALYTIC HIERARCHY PROCESS UNTUK SELEKSI PEMAIN FUTSAL,” MUSTEK ANIM HA, vol. 8, no. 3, 2020, doi: 10.35724/mustek.v8i03.2709.
R. Annisa, D. Nofriansyah, and S. Kusnasari, “Sistem Pendukung Keputusan Dalam Assesment Peningkatan Kemampuan Pemain Tenis Meja Menggunakan Metode ARAS,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, no. 4, 2022, doi: 10.53513/jursi.v1i4.5285.
Nindian Puspa Dewi, Ubaidi, and Elsi Maharani, “Sistem Pendukung Keputusan Pemilihan Sales Terbaik Menggunakan Metode Rank Order Centroid (ROC) dan Additive Ratio Assessment (ARAS) Berbasis Web,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 12, no. 2, 2021, doi: 10.31849/digitalzone.v12i2.7721.
S. Sihombing, “Sistem Pendukung Keputusan Seleksi Pelatih Sepakbola Pada PSMS Medan Menerapkan Kombinasi Metode ROC Dan ARAS,” J. Sains dan Teknol. Inf., vol. 3, no. 1, 2023, doi: 10.47065/jussi.v3i1.4796.
D. Hardiyanti, “Sistem Pendukung Keputusan Pemilihan Atlet Renang Sumatera Utara Untuk Kejuaraan Tingkat Nasional dengan Metode ARAS Dan ROC,” J. Informatics, Electr. Electron. Eng., vol. 1, no. 4, 2022.
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, doi: 10.47065/josh.v4i4.3829.
N. Chandra and A. Trista Ayunda, “Sistem Pendukung Keputusan Dalam Pemilihan Supplier Kopi Menerapkan Metode OCRA Dengan Pembobotan ROC,” G-Tech J. Teknol. Terap., vol. 7, no. 4, 2023, doi: 10.33379/gtech.v7i4.3287.
N. Rosita, “Sistem Pendukung Keputusan Penentuan Calon Penerima Bantuan Langsung Tunai Dana Desa (BLT-DD) Menggunakan Metode ROC dan CPI,” Indones. J. Comput. Sci. Res., vol. 1, no. 2, 2022, doi: 10.59095/ijcsr.v1i2.6.
J. F. Surbakti, I. Zulkarnain, and M. Hutasuhut, “Sistem Pendukung Keputusan Dalam Menentukan Prioritas Wilayah Perbaikan Jalan Menggunakan Metode ARAS,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 1, p. 19, 2023, doi: 10.53513/jursi.v2i1.5416.
B. Betrisandi and B. Bahrin, “Sistem Pendukung Keputusan Seleksi Awal Penerima Kartu Indonesia Sehat (KIS) Menggunakan Metode ARAS,” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 2, 2022, doi: 10.32672/jnkti.v5i2.4204.
M. Bagir, J. Rahmadian, A. F. Zahir, and I. P. Irwansyah, “Sistem Pendukung Keputusan Pemilihan Aplikasi Belajar Online Menggunakan Metode Additive Ratio Assessment,” J. Inf. Syst. Res., vol. 4, no. 4, pp. 1186–1196, 2023, doi: 10.47065/josh.v4i4.3782.
R. A. S. P. - and Pratiwi Susanti, “Sistem Pendukung Keputusan Pemilihan Perumahan dengan Metode ARAS (Studi Kasus Kabupaten Ponorogo),” J. Sains dan Inform., vol. 8, no. 1, 2022, doi: 10.34128/jsi.v8i1.387.
A. Alfira, I. Aprilia Zen Sila, and A. Asriyadi, “Implementasi Penggunaan Metode AHP–ARAS untuk Sistem Pendukung Keputusan Pemberian Kredit Nasabah pada PT. Bank Sulselbar Makassar,” COMSERVA J. Penelit. dan Pengabdi. Masy., vol. 2, no. 12, 2023, doi: 10.59141/comserva.v2i12.789.
I. Zulkarnain, S. Sobirin, and M. J. Zaqy, “Sistem Pendukung Keputusan Dalam Rekrutmen Tim Digital Marketing Di PT. Inti Edukasi Internasional Menggunakan Metode ARAS(Additive Ratio Assesment),” J. Cyber Tech, vol. 5, no. 2, 2023, doi: 10.53513/jct.v5i2.3584.
N. Nursyafitri, R. I. Ginting, and R. Mahyuni, “Sistem Pendukung Keputusan Penyeleksian Tenaga Kerja Security Menggunakan Metode ARAS (Additive Ratio Assessment),” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 3, 2023, doi: 10.53513/jursi.v2i3.6985.
A. V. Vitianingsih, Ravino Rahman, Anastasia Lidya Maukar, Litafira Syahadiyanti, and Seftin Fitri Ana Wati, “Decision Support System to Determine The Price of Used Computer Based On Specification and Usage Duration Using Fuzzy Logic,” J. Nas. Pendidik. Tek. Inform., vol. 12, no. 1, 2023, doi: 10.23887/janapati.v12i1.51547.
I. Markoulidakis, I. Rallis, I. Georgoulas, G. Kopsiaftis, A. Doulamis, and N. Doulamis, “Multiclass Confusion Matrix Reduction Method and Its Application on Net Promoter Score Classification Problem,” Technologies, vol. 9, no. 4, 2021, doi: 10.3390/technologies9040081.
M. Hasnain, M. F. Pasha, I. Ghani, M. Imran, M. Y. Alzahrani, and R. Budiarto, “Evaluating Trust Prediction and Confusion Matrix Measures for Web Services Ranking,” IEEE Access, vol. 8, 2020, doi: 10.1109/ACCESS.2020.2994222.
K. Riehl, M. Neunteufel, and M. Hemberg, “Hierarchical confusion matrix for classification performance evaluation,” J. R. Stat. Soc. Ser. C Appl. Stat., vol. 72, no. 5, 2023, doi: 10.1093/jrsssc/qlad057.
M. Heydarian, T. E. Doyle, and R. Samavi, “MLCM: Multi-Label Confusion Matrix,” IEEE Access, vol. 10, 2022, doi: 10.1109/ACCESS.2022.3151048.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pendukung Keputusan Seleksi Pemilihan Pemain Tim Futsal Menggunakan Metode ROC dan ARAS
Pages: 977-987
Copyright (c) 2024 Adrian Edoardo Yusuf, Budi Santoso, Slamet Kacung

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).






















