Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting

Dedi Darwis, Heni Sulistiani, Dyah Ayu Megawaty, Setiawansyah Setiawansyah, Intan Agustina

Abstract


This study aims to provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The EDAS method requires a lot of input, and preference must be precise in the determination of the weight of the criteria. To fix the problem of weighting criteria in the EDAS method, the Centroid Rank Order (ROC) method is used. ROC is a simple method used to assign weight values to each criterion used. The results of this study provide recommendations for the best students to be selected using the EDAS method and ROC weighting, so as to help schools in decision making. The application of the EDAS method in the selection of exemplary student candidates resulted in exemplary prospective students obtained on behalf of Hadi Santoso with a final score of 0.70885 and obtained 1st rank. The results of these recommendations can help the school determine the selection of the best students by applying the EDAS method and ROC weighting.


Keywords


Decision Making; EDAS; ROC; Student; Weighting

References


A. F. Pasaribu, A. Surahman, A. T. Priandika, S. Sintaro, and Y. T. Utami, “Sistem Pen- dukung Keputusan Seleksi Penerimaan Guru Menggunakan SAW,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 13–19, 2023.

A. Purnamawati, M. N. Winarto, and D. U. E. Saputri, “Sistem Pendukung Keputusan Penen- tuan Produk Terbaik Menggunakan Metode Preference Selection Index,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 1, no. 2, pp. 56–67, 2023.

S. Andriani, D. M. Akhmad, and M. Ulya, “Implementasi Weight Product Model (Wpm) Dalam Memilih Jenis Asuransi,” Komputasi J. Ilm. Ilmu Komput. dan Mat., vol. 18, no. 1, pp. 36–47, 2021.

R. Nuraini, Y. Daniarti, I. P. Irwansyah, A. A. J. Sinlae, and S. Setiawansyah, “Fuzzy Mul- tiple Attribute Decision Making Menggunakan TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Wireless Router,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 2, pp. 411–419, 2022.

R. Aldisa, F. Nugroho, M. Mesran, S. A. Sinaga, and K. Sussolaikah, “Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting (SAW),” J. Inf. Syst. Res., vol. 3, no. 4 SE-Articles, Jul. 2022, doi: 10.47065/josh.v3i4.1955.

M. R. Ramadhan, M. K. Nizam, and M. Mesran, “Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Siswa-Siswi Berprestasi Pada Sekolah SMK Swasta Mustafa,” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 459–471, 2021.

E. S. Nabila, R. Rahmawati, and T. Widiharih, “Implementasi Metode SAW dan WASPAS Dengan Pembobotan ROC Dalam Seleksi Penerimaan Peserta Didik BAru (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019),” J. Gaussian, vol. 8, no. 4, pp. 428–438, 2019..

R. Z. Hasibuan, A. Prahutama, and D. Ispriyanti, “Perbandingan Metode Moora Dan Top- sis Dalam Penentuan Penerimaan Siswa Baru Dengan Pembobotan Roc Menggunakan Gui Matlab,” J. Gaussian, vol. 8, no. 4, pp. 462–473, 2019.

M. M. Boangmanalu, M. Mesran, and B. Purba, “Implementasi Metode MAUT Dalam Seleksi Calon Marketing Retail dengan menerapkan pembobotan ROC,” J. Ilm. Media Sisfo, vol. 16, no. 2, pp. 81–91, 2022.

I. M. A. B. Saputra, “Penentuan Lokasi Stup Menggunakan Pembobotan Rank Order Centroid (ROC) dan Simple Additive Weighting (SAW),” J. Sist. Dan Inform., vol. 15, no. 1, pp. 48–53, 2020.

A. Iskandar, “Sistem Pendukung Keputusan Kelayakan Penerima Bantuan Dana KIP Ku- liah Menggunakan Metode ROC-EDAS,” Build. Informatics, Technol. Sci., vol. 4, no. 2 SE- Articles, Sep. 2022, doi: 10.47065/bits.v4i2.2265.

S. Salmon, B. Harpad, and R. Andrea, “Penerapan Metode EDAS Dalam Pemilihan Wirausaha Muda Terbaik dengan Pembobotan ROC,” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 2, pp. 737–746, 2023.

S. K. Zega, A. S. Harahap, H. H. Sihite, and I. Saputra, “Sistem Pendukung Keputusan Aplikasi Nobar Online Terbaik Dengan Menerapkan Metode EDAS Dengan Pembobotan ROC,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 6, no. 1, pp. 809–818, 2023.

P. Adytia, M. Fahmi, and R. Andrea, “Analisis Dalam Pendukung Keputusan Seleksi Re- porter dengan Menerapkan Metode EDAS dan Pembobotan ROC,” J. MEDIA Inform. BU- DIDARMA, vol. 7, no. 2, pp. 809–818, 2023.

S. Maryana and D. Suhartini, “Implementasi Certainty Factor Untuk Diagnosa Penyakit

Sapi,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 1, no. 1, pp. 14–20, 2023.

A. Yudhistira and R. Andika, “Pengelompokan Data Nilai Siswa Menggunakan Metode K- Means Clustering,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 20–28, 2023.

A. L. Kalua, H. Veronika, and D. T. Salaki, “Sistem Pakar Diagnosa Penyakit Malaria dengan Certainty Factor dan Forward Chaining,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 1, no. 1, pp. 22–34, 2023.

N. F. Fahrudin and A. D. Wahyudi, “Modeling Inventory Systems Using The User Experience Design Model Method,” J. Data Sci. Inf. Syst., vol. 1, no. 1, pp. 9–16, 2023.

M. Mulyati and E. Erniyati, “PEMILIHAN BIBIT KELINCI NEW ZEALAND WHITE (NZW) TERBAIK DENGAN MENGGUNAKAN METODE VIKOR,” Komputasi J. Ilm. Ilmu Komput. dan Mat., vol. 18, no. 1, pp. 48–54, 2021.


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