Penerapan Metode Metode MOOSRA dan ROC dalam Rekomendasi Penentuan Handphone Terbaik untuk Pembuatan Konten Youtube
DOI:
https://doi.org/10.30865/resolusi.v4i1.1452Keywords:
Mobile; YouTube Content; MOOSRA Method; ROC Method; DSSAbstract
Every day technological advances are increasing and developing, one of which is cellphones. Mobile phones are a technology that users can use to create YouTube content. The increasing development of the technological era from year to year has led to the emergence of cellphone brands with different specifications, making YouTube content users confused in determining the best cellphone. Based on this, the author conducted research to determine the best cellphone for creating YouTube content using the Moosra and Roc methods. We can use the Moosra and Roc method to determine the best cellphone for creating YouTube content, including choosing the brand and specifications of the cellphone. The results achieved in determining the type of cellphone brand and the best quality for creating YouTube content using the MOOSRA and ROC methods. And the final result of this decision support system (DSS) is determining the best brand and quality of cellphone for creating YouTube content. Rank Order Centroid (ROC) Method ROC is a method used to find the weight for each criterion according to its level and the Multi-Object Optimization Method On the basis of Simple Ration Analysis (MOOSRA) is a method that can be used to solve semi-structured and multidisciplinary problems attribute. The research results showed that Alternative A8 (Samsung) was chosen as the best alternative in determining the best cellphone for creating YouTube content with a preference value of 45.5 using the MOOSRA and ROC methods.
Downloads
References
M. Badaruddin, “Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menerapkan Kombinasi Metode Simple Additive Weighting (SAW) dengan Rank Order Centroid (ROC),” J. Media Inform. Budidarma, vol. 3, no. 4, p. 366, 2019, doi: 10.30865/mib.v3i4.1508.
D. Febrina and I. Saputra, “Penerapan Multiobjective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) Dalam Pemilihan Konten Lokal Terbaik,” J. Comput. Syst. Informatics, vol. 2, no. 3, pp. 10–19, 2021.
R. T. Utami, D. Andreswari, and Y. Setiawan, “Implementasi Metode Simple Additive Weighting (SAW) dengan pembobotan Rank Order Centroid(ROC) Dalam Pengambilan Keputusan Untuk Seleksu Jasa Leasing Mobil,” J. Rekursif, vol. 4, no. 2, pp. 209–221, 2016.
Z. Azhar, N. Mulyani, J. Hutahaean, and A. Mayhaky, “Sistem Pendukung Keputusan Pemilihan E-Commerce Terbaik Menggunakan Metode MOOSRA,” J. Media Inform. Budidarma, vol. 6, no. 4, pp. 2346–2351, 2022, doi: 10.30865/mib.v6i4.4775.
A. Karim, S. Esabella, T. Andriani, and ..., “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dalam Penentuan Lulusan Mahasiswa Terbaik,” Build. Informatics …, vol. 4, no. 1, pp. 162–168, 2022, doi: 10.47065/bits.v4i1.1630.
R. K. Hondro and S. Aripin, “Sistem Pendukung Keputusan Penentuan Team Leader Menggunakan Metode MOOSRA,” JiTEKH (Jurnal Ilm. Teknol. …, vol. 10, no. 1, pp. 1–6, 2022, doi: https://doi.org/10.35447/jitekh.v10i1.561.
A. Ismono, “Sistem Pendukung Keputusan Untuk Pemilihan Auditor dengan Menggunakan Metode MOOSRA,” J. Sist. Komput. dan Inform., vol. 4, no. 1, pp. 234–239, 2022, doi: 10.30865/json.v4i1.4743.
F. Meilida, “Sistem Pendukung Keputusan Seleksi Atlet Pon Cabang Pencak Silat Menerapkan MOOSRA,” Bull. Comput. Sci. Res., vol. 1, no. 3, pp. 93–100, 2021, doi: https://doi.org/10.47065/bulletincsr.v1i3.119.
R. Dwi, O. Siregar, M. Rahmawati, and W. V. Ginting, “Penerapan Metode SAW , MOORA Dan ROC Dalam Menentukan Penilaian Kinerja Siswa Magang Terbaik Pada Universitas Budi Darma,” pp. 1–9, 2022.
A. Yunaldi, “Sistem Pendukung Keputusan Seleksi Bantuan Siswa Miskin Menerapkan Kombinasi Metode SAW dan ROC,” J. Media Inform. Budidarma, vol. 3, no. 4, p. 376, 2019, doi: 10.30865/mib.v3i4.1511.
R. Umar, A. Fadlil, and Y. Yuminah, “Sistem Pendukung Keputusan dengan Metode AHP untuk Penilaian Kompetensi Soft Skill Karyawan,” Khazanah Inform. J. Ilmu Komput. dan Inform., vol. 4, no. 1, p. 27, 2018, doi: 10.23917/khif.v4i1.5978.
F. P. Hutagaol, Mesran, and J. H. Lubis, “Penerapan Metode Simple Additive Weighting (SAW) dalam Pemilihan Handphone Bekas,” Bull. Inf. Technol., vol. 2, no. 2, pp. 63–68, 2021.
C. E. Prawiro, M. Y. H. Setyawan, and S. F. Pane, “Studi Komparasi Metode Entropy dan ROC dalam Menentukan Bobot Kriteria,” J. Tekno Insentif, vol. 15, no. 1, pp. 1–14, 2021, doi: 10.36787/jti.v15i1.353.
Z. M. Arini, D. J. Sitanggang, M. Ali, and S. Aripin, “Sistem Pendukung Keputusan Penentuan Facial Wash Terbaik yang digunakan pada kulit berminyak dengan menggunakan Metode Multi Attribute Utility Theory ( MAUT ) dan Pembobotan Rank Order Centroid ( ROC ),” pp. 317–324, 2022.
A. Safitra, P. Pristiwanto, and R. Syahputra, “Sistem Pendukung Keputusan Penyeleksian Mekanik Menjadi Seorang SA (Service Advisor) Menggunakan Metode Moosra,” J. Informatics, Electr. Electron. Eng., vol. 1, no. 2, pp. 47–53, 2021, [Online]. Available: https://djournals.com/jieee/article/view/291%0Ahttps://djournals.com/jieee/article/download/291/214
A. S. Nadeak, “Implementasi Ahp Dan Moosra Pemilihan Kasir Terbaik (Studi Kasus: Suzuya Departement Store),” Pelita Inform. Inf. dan …, vol. 9, pp. 189–196, 2021, [Online]. Available: https://www.ejurnal.stmik-budidarma.ac.id/index.php/pelita/article/view/2882
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Metode Metode MOOSRA dan ROC dalam Rekomendasi Penentuan Handphone Terbaik untuk Pembuatan Konten Youtube
ARTICLE HISTORY
Issue
Section
Copyright (c) 2023 Mesran, Agung Triayudi, Dian Yunita Sihombing, Rosaima Situmorang

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).