Uji Sensitivitas Metode Pembobotan ROC, SWARA Terhadap Kriteria Karyawan Terbaik Dengan Menggunakan Metode SAW
Abstract
Decision Support System or DSS is a branch of computer science to help a person or group in making a decision. In a decision, it has conditions such as there must be a choice candidate commonly referred to as an alternative and also criteria as an option in consideration, the criteria themselves are the most important part in determining the feasibility of a decision making, each criterion has its own value provided by the decision maker but it makes it is not clear on the decision to determine the value of the existing criteria, especially the criteria for evaluating the best employees, it is important to give the right weight value to the existing criteria. In assigning weight values, it is often wrong because the level of importance possessed by the criteria both have their own advantages, another problem in assigning weight values is the type of weighting method that is very much also causing decision makers to be confused about choosing the right method so it is necessary to test the accuracy of the method. weighting in order to find the right results, the tests carried out in this study compared several weighting methods with the results as sensitivity tests such as ROC, SWARA as a weighting method and the SAW method as a widely used decision-making method. The results of the study found that the ROC-SAW value was 0.974, the value of the SWARA-SAW method was 0.9555. The highest accuracy value is obtained by the ROC-SAW method as a combination of methods that have higher sensitivity.
Downloads
References
T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi. Medan: Yayasan Kita Menulis, 2020.
A. Thakkar and R. Lohiya, “Attack classification using feature selection techniques: a comparative study,” J. Ambient Intell. Humaniz. Comput., vol. 12, no. 1, 2021.
I. R. Akbar, D. Prasetiyani, and N. Nariah, “Pengaruh Motivasi Terhadap Kinerja Karyawan Pada Pt. Unggul Abadi Di Jakarta,” J. Ekon. Ef., vol. 3, no. 1, pp. 84–90, 2020.
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.
H. Halimah, D. Kartini, F. Abadi, I. Budiman, and M. Muliadi, “Uji Sensitivitas Metode Aras Dengan Pendekatan Metode Pembobotan Kriteria Sahnnon Entropy Dan Swara Pada Penyeleksian Calon Karyawan,” J. ELTIKOM, vol. 4, no. 2, pp. 96–104, 2020.
V. Keršulienė, E. K. Zavadskas, and Z. Turskis, “Selection of Rational Dispute Resolution Method By Applying New Step‐Wise Weight Assessment Ratio Analysis (Swara),” J. Bus. Econ. Manag., vol. 11, no. 2, pp. 243–258, 2018.
G. N. Yücenur and A. Ipekçi, “SWARA/WASPAS methods for a marine current energy plant location selection problem,” Renew. Energy, vol. 163, pp. 1287–1298, Jan. 2021.
A. Petruni, E. Giagloglou, E. Douglas, J. Geng, M. C. Leva, and M. Demichela, “Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry,” Saf. Sci., vol. 119, pp. 229–239, Nov. 2019.
L. Handayani, M. Syahrizal, and K. Tampubolon, “Pemilihan Kepling Teladan Menerapkan Metode Rank Order Centroid (Roc) Dan Metode Additive Ratio Assessment (Aras) Di Kecamatan Medan Area,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 532–538, 2019.
Albi Anggito and Johan Setiawan, Metodologi Penelitian Kuantitatif. Jawa Barat: CV Jejak, 2018.
F. T. Industri, “Seleksi Personel Berbasis Five Factor Model ( Ffm ) Dengan Pendekatan Metode Swara Dan Aras,” 2016.
E. Kılıç Delice, G. F. CAN, and E. KAHYA, “improving the rapid office strain assessment method with an integrated multi-criteria decision making approach,” Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Derg., no. September, 2020.
A. Sucipto, “Pada Koperasi Simpan Pinjam Dengan Menggunakan,” J. DISPROTEK, vol. 6, no. 1, pp. 75–87, 2015.
M. Mesran, T. M. Diansyah, and F. Fadlina, “Implemententasi Metode Rank Order Cendroid (ROC) dan Operational Competitiveness Rating Analysis (OCRA) dalam Penilaian Kinerja Dosen Komputer Menerapkan (Studi Kasus: STMIK Budi Darma),” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. 0, p. 822, Sep. 2019.
G. Zhang, Z. Wang, and H. Mei, “Sensitivity clustering and ROC curve based alarm threshold optimization,” Process Saf. Environ. Prot., vol. 141, pp. 83–94, 2020.
M. Mesran, J. Afriany, and S. H. Sahir, “Efektifitas Penilaian Kinerja Karyawan Dalam Peningkatan Motivasi Kerja Menerapkan Metode Rank Order Centroid (ROC) dan Additive Ratio Assessment (ARAS),” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. 0, pp. 813–821, Sep. 2019.
S. K. Simanullang and A. G. Simorangkir, “Sistem Pendukung Keputusan Penerimaan Calon Karyawan Menggunakan Metode Simple Additive Weighting,” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 472–478, 2021.
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.
S. Sunarti, “Sistem Pendukung Keputusan Pemilihan Wisata Kuliner Di Wilayah Kota Depok Menggunakan Metode Simple Additive Weighting (SAW),” J. Eksplora Inform., vol. 9, no. 2, pp. 105–110, 2020.
J. D. Manik and A. R. Samosir, “Penerapan Metode Simple Additive Weighting dalam Penerimaan Siswa Magang pada Universitas Budi Darma,” sudo J. Tek. Inform., vol. 1, no. 2, 2022.
I. J. T. Situmeang, S. Hummairoh, S. M. Harahap, and Mesran, “Application of SAW (Simple Additive Weighting) for the Selection of Campus Ambassadors,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, pp. 21–28, 2021.
R. Y. Simanullang, Melisa, and Mesran, “Sistem Pendukung Keputusan Penerima Bantuan Covid-19 Menggunakan Metode Simple Additive Weighting (SAW),” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 2–9, 2021.
S. H. Sahir, R. Rosmawati, and K. Minan, “Simple Additive Weighting Method to Determining Employee Salary Increase Rate,” Int. J. Sci. Res. Sci. Technol., vol. 3, no. 8, pp. 42–48, 2017.
R. T. Aldisa, A. Priyatna, F. Saidah, K. Y. Siahaan, and Mesran, “Analisis Perbandingan Penerapan Metode MOORA dan SAW dalam,” J. Sist. Komput. dan Inform., vol. 3, no. 4, pp. 393–404, 2022.
F. T. Menanti, “Sistem Pendukung Keputusan Menentukan Karyawan Terbaik Dengan Metode AHP,” vol. 3, no. 2, pp. 119–125, 2018.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Uji Sensitivitas Metode Pembobotan ROC, SWARA Terhadap Kriteria Karyawan Terbaik Dengan Menggunakan Metode SAW
Pages: 532-540
Copyright (c) 2022 Sudi Suryadi, Wahyu Azhar Ritonga, Taufiqqurrahman Nur Siagian, M Fauzi Romadhon Marpaung, Hariyanto Hariyanto, Sahbuki Ritonga

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).






















