Penerapan Metode EDAS dan ROC Dalam Rekomendasi Objek Wisata Pantai Terbaik
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Anggi Farika Sari
*
Universitas Semarang, Semarang,
Indonesia
- Septia Nike bela Sapira Universitas Semarang, Semarang, Indonesia
- Elsa Adhista Aulia Dewi Universitas Semarang, Semarang, Indonesia
- Agusta Praba Ristadi Pinem Universitas Semarang, Semarang, Indonesia https://orcid.org/0000-0003-3569-3823 (*) Corresponding Author
Abstract
Indonesia's natural diversity, cultural heritage and history have given rise to attractive tourism destinations, including Central Java Province. Central Java offers a diversity of beaches, attracting millions of tourists every year. However, many tourists have difficulty choosing a beach tourist destination that suits their wishes. Decision Support Systems (DSS) are a solution with various methods, one of which is the Evaluation Method based on Distance from Average Solution (EDAS) which is currently used together with Rank Order Centroid (ROC) weighting. This method has been proven to be effective in complex decision situations. In this context, using 13 Alternative Beaches was taken by taking into account the highest number of visitors in each Regency/City in Central Java Province and applying criteria such as cleanliness, facilities, popularity, rating and ticket prices used for evaluation. This research aims to examine the relationship and integration of the ROC and EDAS weighting methods in recommendations for the best beach tourist attractions in Central Java. It is hoped that this study will be able to provide a better interpretation and obtain a ranking ranking of alternative beach tourist attractions in Central Java, thereby contributing to tourists making more accurate decisions according to the criteria in the context of selecting beach tourist locations. The results of the research show that Jatimalang Beach is the best alternative with the highest score of 1,000. Thus, Jatimalang Beach is declared as the best choice for the best tourist attraction.
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References
N. Andriyani and A. N. Salam, “Analisis pengaruh industri pariwisata terhadap PDRB Jawa Tengah era pandemi covid-19,” J. Econ. Res. Policy Stud., vol. 2, no. 1, pp. 1–9, 2022, doi: 10.53088/jerps.v2i1.376.
Muhammad Bibin and Ani Ardian, “Strategi Pengembangan Kawasan Wisata Pantai Songka Di Kota Palopo,” EDUTOURISM J. Tour. Res., vol. 2, no. 01, pp. 72–78, 1970, doi: 10.53050/ejtr.v2i01.131.
S.- Supiyandi, A. P. U. Siahaan, and A. Alfiandi, “Sistem Pendukung Keputusan Pemilihan Pegawai Honorer Kelurahan Babura dengan Metode MFEP,” J. Media Inform. Budidarma, vol. 4, no. 3, p. 567, 2020, doi: 10.30865/mib.v4i3.2107.
M. Simaremare, F. Taufik, and ..., “Implementasi Sistem Pendukung Keputusan Menentukan Tempat Wisata Terbaik Menggunakan Metode MOORA,” J. Sist. Inf. …, vol. 1, pp. 527–536, 2022, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jsi/article/view/5133%0Ahttps://ojs.trigunadharma.ac.id/index.php/jsi/article/viewFile/5133/1078
A. Karim, S. Esabella, M. Hidayatullah, and T. Andriani, “Sistem Pendukung Keputusan Aplikasi Bantu Pembelajaran Matematika Menggunakan Metode EDAS,” Build. Informatics, Technol. Sci., vol. 4, no. 3, 2022, doi: 10.47065/bits.v4i3.2494.
I. Purnama, Z. Zulkifli, M. B. K. Nasution, A. Karim, and S. Trianovie, “Sistem Pendukung Keputusan Pemilihan Sales Supervisor Menerapkan Metode EDAS berdasarkan Pembobotan ROC,” Build. Informatics, Technol. Sci., vol. 5, no. 1, pp. 181–190, 2023, doi: 10.47065/bits.v5i1.3558.
H. Priyono, Susliansyah, H. Sumarno, L. Maulida, and F. Indriyani, “Pemilihan Minuman yang Banyak Terjual dengan Metode Evaluation Based on Distance from Average Solution (EDAS),” Remik Ris. dan E-Jurnal Manaj. Inform. Komput., vol. 7, no. 3, pp. 1428–1438, 2023.
F. Nugroho, A. Triayudi, and M. Mesran, “Sistem Pendukung Keputusan Rekomendasi Objek Wisata Menerapkan Metode MABAC dan Pembobotan ROC,” JSON J. Sist. Komput. dan Inform., vol. 121, no. 1, pp. 112–121, 2023, doi: 10.30865/json.v5i1.6822.
I. Irwan, I. M. Pandiangan, and M. Mesran, “Penerapan Kombinasi Metode ROC dan TOPSIS Pemilihan Karyawan Terbaik Untuk Rekomendasi Promosi Jabatan,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 4, p. 1151, 2022, doi: 10.30865/jurikom.v9i4.4772.
K. Kusmanto, M. B. K. Nasution, S. Suryadi, and A. Karim, “Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA,” Build. Informatics, Technol. Sci., vol. 4, no. 3, pp. 1284–1292, 2022, doi: 10.47065/bits.v4i3.2610.
A. Iskandar, “Sistem Pendukung Keputusan Kelayakan Penerima Bantuan Dana KIP Kuliah Menggunakan Metode ROC-EDAS,” Build. Informatics, Technol. Sci., vol. 4, no. 2, pp. 856–864, 2022, doi: 10.47065/bits.v4i2.2265.
T. Winarko et al., “Analisis Dalam Pendukung Keputusan Penerimaan Supervisor Industri Manufacturing dengan Menerapkan Metode EDAS dan Pembobotan ROC,” vol. 5, no. 1, pp. 20–29, 2023, doi: 10.47065/josyc.v5i1.4563.
P. Adytia, M. Fahmi, and R. Andrea, “Analisis Dalam Pendukung Keputusan Seleksi Reporter dengan Menerapkan Metode EDAS dan Pembobotan ROC,” J. Media Inform. Budidarma, vol. 7, no. 2, pp. 809–818, 2023, doi: 10.30865/mib.v7i2.6064.
D. Darwis, H. Sulistiani, D. A. Megawaty, S. Setiawansyah, and I. Agustina, “Implementation of EDAS Method in the Selection of the Best Students with ROC Weighting,” Komputasi J. Ilm. Ilmu Komput. dan Mat., vol. 20, no. 2, pp. 112–125, 2023, doi: 10.33751/komputasi.v20i2.7904.
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, doi: 10.30865/mib.v7i2.6066.
D. Yulistiana, “Pemilihan Peserta Olimpiade Bahasa Inggris Menggunakan Metode Hybrid ROC-EDAS (SMP Muhammadiyah 58),” Nas. Teknol. Inf. dan Komputer), vol. 6, no. 1, pp. 748–760, 2022, doi: 10.30865/komik.v6i1.5737.
M. Yanto, “Sistem Penunjang Keputusan Dengan Menggunakan Metode Ahp Dalam Seleksi Produk,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 3, no. 1, pp. 167–174, 2021, doi: 10.47233/jteksis.v3i1.161.
Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, “Decision support systems for agriculture 4.0: Survey and challenges,” Comput. Electron. Agric., vol. 170, no. February, p. 105256, 2020, doi: 10.1016/j.compag.2020.105256.
I. Mayanju Pandiangan, R. Indra Borman, and A. Perdana Windarto, “Implementation of Operational Competitiveness Rating Analysis (OCRA) and Rank Order Centroid (ROC) to Determination of Minimarket Location,” Bull. Informatics Data Sci., vol. 2, no. 1, pp. 1–8, 2023, [Online]. Available: https://ejurnal.pdsi.or.id/index.php/bids/index
A. T. Priandika and A. D. Wahyudi, “Decision Support System for Determining Exemplary Employees Using the Evaluation Method based on Distance from Average Solution (EDAS),” J. Ilm. Comput. Sci., vol. 1, no. 1, pp. 17–30, 2022.
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Copyright (c) 2024 Anggi Farika Sari, Septia Nike bela Sapira, Elsa Adhista Aulia Dewi, Agusta Praba Ristadi Pinem
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