Penerapan Metode Technique For Order Preference by Similarity To Ideal Solution (TOPSIS) Dalam Pengembangan Desa Terbaik Menggunakan Pembobotan Rank Order Centroid (ROC)

Authors

  • Lakry Maltaf Putra Universitas Metamedia, Padang, Padang
  • Warkianto Widjaja Universitas Kebangsaan Republik Indonesia, Bandung

DOI:

https://doi.org/10.30865/mib.v7i1.5530

Keywords:

TOPSIS, Village, DSS, ROC

Abstract

The best village development is a village development where the village can be used as an example for other villages. However, there are many villages that appear to be the best village developers, but they are not at all. In this day and age there are many people who are reluctant to develop a village, there are also many people who are narrow-minded that there is no need for village development because whether there is or not will definitely remain the same. Therefore the author wants to conduct a study in choosing the best village development by having 5 criteria, namely the number of productive age, the number of umkm, the area of the village, the number of schools, and the number of tourist destinations. So in this research a helper system is really needed to solve the problems that occur in the research. The system referred to as an auxiliary tool in solving problems is (SPK). Based on these problems, a decision support system is needed as a problem solving technique and is assisted by a method that can produce an accurate final value. The method is the TOPSIS method and ROC weighting where the method is very helpful in generating weight values from alternative data and criteria so as to get the final results obtained in Alternative Q6 with a value of 1.00000.

References

I. G. P. Marutha and K. A. Sutayasa, “Sistem Pendukung Keputusan Pengembangan Pariwisata Alam Kawasan Plawangan–Turgo Menggunakan Model AHP dan TOPSIS,†J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 4, pp. 205–214, 2019.

N. K. A. P. Sari, I. M. Candiasa, and K. Y. E. Aryanto, “Sistem Pendukung Keputusan Pengembangan Ekowisata Pedesaan Menggunakan Metode Fucom-Moora Dan Fucom-Vikor,†JST (Jurnal Sains dan Teknol., vol. 10, no. 2, pp. 112–126, 2021.

D. Nofriansyah, Multi Criteria Decision Making (MCDM) Pada Sistem Pendukung Keputusan. Yogyakarta: CV.Budi Utama, 2017.

T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.

D. Darmansah, S. Fernandez, I. K. Putri, M. Y. Fathoni, and S. Wijayanto, “Sistem Pendukung Keputusan Untuk Seleksi Jabatan Dengan Menggunakan Metode Topsis (Studi Kasus: Kantor Camat Lais),†JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 9, no. 3, pp. 2222–2233, 2022.

R. T. Aldisa and G. Ginting, “Sistem Pendukung Keputusan Penentuan Pelaku Pariwisata Terbaik dimasa Pandemi Covid-19 Menerapkan Metode OCRA dengan Pembobotan ROC,†vol. 6, no. 5, pp. 1056–1063, 2022.

Rendi Haryono Septy and M. Devega, “Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai (Blt) Menggunakan Metode Topsis Dan Saw (Studi Kasus Di Kantor Lurah Limbungan),†Zo. J. Sist. Inf., vol. 4, no. 1, pp. 77–89, 2022.

A. Karim, S. Esabella, Kusmanto, Mesran, and U. Hasanah, “Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC),†J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1674–1687, 2021.

H. Dafitri, N. Wulan, H. Ritonga, U. H. Medan, and S. P. Keputusan, “Analisis Perbandingan Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Metode TOPSIS dan WASPAS,†vol. 9, no. 5, pp. 1313–1321, 2022.

I. B. Kurniawan, I. M. Candiasa, and K. Y. E. Aryanto, “Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Di Universitas Dhyana Pura Menggunakan Metode AHP, Electre, Dan Topsis,†J. Ilmu Komput. Indones., vol. 4, no. 1, pp. 22–33, 2019.

R. M. Simanjorang, “Sistem Pendukung Keputusan Pemilihan Dosen Terbaik dengan menggunakan Metode TOPSIS (Studi Kasus: STMIK Pelita Nusantara Medan),†J. STMIK Pelita Nusant. Medan, vol. 4, no. 1, pp. 10–15, 2019.

H. Nugraha and S. Maharani, “Sistem Pendukung Keputusan Rekomendasi Pemilihan Bank untuk Pembukaan Rekening bagi Calon Nasabah menggunakan Metode Topsis,†pp. 2–5, 2015.

J. Papathanasiou and N. Ploskas, Multiple Criteria Decision Aid: Methods, Examples and Python Implementations. Springer, 2018.

Jasri, D. Siregar, and R. Rahim, “Decision Support System Best Employee Assessments with Technique for Order of Preference by Similarity to Ideal Solution,†Int. J. Recent TRENDS Eng. Res., vol. 3, no. 3, pp. 6–17, 2017.

S. T. Rajagukguk, “Sistem Pendukung Keputusan Penentuan Stand Bazar Terbaik Menggunakan Metode Moora,†J. Comput. Syst. Informatics, vol. 2, no. 2, pp. 73–82, 2021.

A. P. Windarto, “Implementasi Metode Topsis Dan Saw Dalam Memberikan Reward Pelanggan,†Klik - Kumpul. J. Ilmu Komput., vol. 4, no. 1, p. 88, 2017.

G. Ginting, Fadlina, Mesran, A. P. U. Siahaan, and R. Rahim, “Technical Approach of TOPSIS in Decision Making,†Int. J. Recent Trends Eng. Res., vol. 3, no. 8, pp. 58–64, 2017.

W. Harry, B. Lumban, K. Y. Siahaan, and J. Sitorus, “Sistem Pendukung Keputusan Menentukan Transfer Pemain Sepakbola Menerapkan Metode ROC dan MAUT,†pp. 0–5, 2022.

P. Simanjuntak and R. D. Sianturi, “Sistem Pendukung Keputusan Seleksi Penerima Dokter Dirumah Sakit Umum Bhakti Dengan Menerapkan Metode Oreste Dan ROC,†RESOLUSI Rekayasa Tek. Inform. dan Inf., vol. 2, no. 3, pp. 121–127, 2022.

M. Walid, B. Satria, and M. Makruf, “Seleksi Karyawan Baru Menggunakan Metode Composite Perfomence Index (CPI ) dan Rank Order Centroid (ROC),†J. Ilm. Ilk. - Ilmu Komput. Inform., vol. 5, no. 1, pp. 11–18, 2022.

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, pp. 172–183, 2021.

Downloads

Published

2023-01-28

Issue

Vol. 7 No. 1 (2023): Januari 2023

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. 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.
  2. 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.
  3. 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).