Penerapan Metode Simple Additive Weighting Dalam Pemberian Dana Bantuan Pemerintah Kota Pada Lingkungan XI Daerah Kwala Bekala
- Tesa Aurelia Siregar Universitas Budi Darma, Medan, Indonesia
- Nola Dita Puspa Universitas Budi Darma, Medan, Indonesia
-
Dwika Assrani
*
Universitas Budi Darma, Medan,
Indonesia
Abstract
City government assistance given by the government to the wrong people often occurs, the aid distributor only gives to the closest relatives, not people who really need it, social inequality occurs. The uneven distribution of basic needs is due to the government's inaccuracy in collecting data on underprivileged citizens and residents who have been laid off and closing access to trade when the Covid-19 pandemic has made the community's economy slump drastically. From this problem, a decision support system is needed to help aid distributors select people who are entitled to be given assistance with the Simple Additive Weighting (SAW) method approach and the results of this decision will be obtained from 1-15 candidates who really deserve to get city government assistance and reduce fraud in providing assistance during the Covid-19 Pandemic.
References
J. Kirana, K. P. Rajagukguk, E. Lailan, and S. Lubis, “ANALISIS DAMPAK COVID-19 PADA MASYARAKAT,” vol. 1, pp. 64–69, 2020.
L. R. Muaja et al., “Pada Pemerintah Daerah Kota Manado,” Maret, vol. 2, no. 1, pp. 510–520, 2014.
T. Limbong, “Implementasi Metode Simple Additive Weighting Untuk,” Pengetahuan, J. Ilmu Komputer, D A N Teknol., vol. 3, no. 2, pp. 233–238, 2018.
D. Nofriansyah, Multi Criteria Decision Making. Yogyakarta: Deepublish, 2017.
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.
N. K. Daulay, B. Intan, and M. Irvai, “Comparison of the WASPAS and MOORA Methods in Providing Single Tuition Scholarships,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, pp. 84–94, 2021.
N. K. Daulay, “Penarapan Metode Waspas Untuk Efektifitas Pengambilan Keputusan Pemutusan Hubungan Kerja,” J. Sist. Komput. dan Inform., vol. 2, no. 2, pp. 196–201, 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. Kusumadewi, S. Hartati, A. Harjoko, and Retantyo Wardoyo, Fuzzy Multi-Attribute Decision Making (FUZZY MADM). 2006.
E. Turban, J. E. Aronson, and T. Liang, “Decision Support Systems and Intelligent Systems.”
D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. 2015.
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. R. Ramadhan, M. K. Nizam, and 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.
R. P. Sari and B. Saputra, “Sistem Pemilihan Smartphone Berdasarkan Spesifikasinya Pada Mahasiswa Sistem Informasi Universitas Tanjungpura Menggunakan Metode Simple Additive Weighting ( SAW ),” J. Sist. Komput. dan Inform., vol. 2, no. 3, pp. 329–338, 2021.
R. P. Sari and F. S. Redha, “Sistem Pendukung Keputusan Pemilihan Pemilihan Distro Linux Menggunakan metode Simple Additive Weighting (SAW),” J. Sist. Komput. dan Inform., vol. 2, no. 3, p. 88, 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.
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