Sistem Pendukung Keputusan Penentuan Penerima Bantuan Langsung Tunai (BLT) dengan Kombinasi Metode Clustering K-Means dan Visekriterijumsko Kompromisno Rangiranje (VIKOR)

Authors

  • Reza Ariansyah Universitas Budi Darma, Medan

Keywords:

Decision Support System; K-Means Clustering; VIKOR

Abstract

Virus Certification of Vaccination Identification by Artificial Intelligence, which is often called the Corona virus, has greatly affected the economy of the world community, especially the economy of the people in Indonesia, for this reason the Indonesian government is taking appropriate steps that are useful for improving the economic problems of the Indonesian people by providing direct cash assistance or often referred to as BLT. . The main goal is to help the economy of communities affected by the impact of the Corona virus. The system for determining direct cash assistance at the Kubah Sentang village office, Pantai Labu District, still uses a simple method. Of course, with this simple system, it is very possible for errors to occur with inaccurate data or direct cash assistance not being on target. The mistake that often occurs is that there are people who do not deserve direct cash assistance but these people receive direct cash assistance. In the decision support system for determining direct cash assistance using the K-Means Clustering method, it is used to partition or divide an object into a cluster subset and the Visekterijumsko Kompromisno Rangiranje (VIKOR) method is useful for getting rankings against the criteria that will be used, as for what happens after using the K-Means Clustering method, the data sample starts with 35 people, with this method grouped into 15 people. Then the Visekterijumsko Kompromisno Rangiranje (VIKOR) method was used for ranking, so from the previous method the data amounted to 15 people. Using the VIKOR method, only 5 people were found who were considered very worthy in determining direct cash assistance (BLT).

References

K. Keuangan, “Peraturan Menter! Keuangan Republik Indonesia Nomor 160/Pmk.Os/2017,” pp. 1–10, 2017.

Menteri Keuangan Republik Indonesia, “Peraturan Menteri Keuangan Republik Indonesia Nomor 17/Pmk.07/2021 Tentang Pengelolaan Transfer Ke Daerah Dalam Rangka Mendukung Penanganan Pandemi Corona Virus Disease (Covid-19) Dan Dampak Nya.” 2021.

P. Studi et al., “Implementasi Metode VIKOR (Visekkriterijumsko Kompromisno Rangiranje) dalam Sistem Pendukung Pengambilan Keputusan Buku Layak Terbit (Studi Kasus di UGM Press),” 2018.

D. Selika, K. Penyaluran, and B. Langsung, “LANGSUNG TUNAI DANA DESA ( BLT-DD ) DESA SELIKA Terkadang kemiripan antara keanggotaan fuzzy dengan probabilitas menimbulkan kerancuan . Keduanya memiliki nilai pada Keanggotaan fuzzy memberikan suatu ukuran terhadap pendapat atau keputusan , sedangkan pr,” pp. 1–7, 2009.

D. Arifianto, “Sistem Pendukung Keputusan Penentuan Calon Penerima Bantuan Langsung Sementara Masyarakat (BLSM) Studi Kasus " Kelurahan Dawuhan " Menggunakan Metode Fuzzy Multiple Criteria Decision Making,” J. Jur. Tek. Inform. Fak. Tek. Univ. Muhammadiyah Jember, no. 1310651177, pp. 1–9, 2017.

S. A. Permana and Syahminan, “Perancangan Sistem Pendukung Keputusan Calon Pembeli Kredit Sepeda Motor Menggunakan K-Means Clustering,” Univ. Kanjuruhan Malang, 2016.

G. Suwardika and I. K. P. Suniantara, “Penerapan Metode VIKOR pada Pengambilan Keputusan Seleksi Calon Penerima Beasiswa Bidikmisi Universitas Terbuka,” Intensif, vol. 2, no. 1, pp. 24–35, 2018.

D. Pribadi, rizal amegia Saputra, jamal maulana Hudin, and Gunawan, Sistem Pendukumg Keputusan. 2018.

M. Handayani and N. Marpaung, “Implementasi Metode Weight Aggregated Sum Product Assesment (Waspas) Dalam Pemilihan Kepala Laboratorium,” Semin. Nas. R. 2018 ISSN 2622-9986 STMIK R. R. ISSN 2622-6510 , vol. 9986, no. September, pp. 253 – 258, 2018.

K. H. Hanif, A. Yudhana, and A. Fadlil, “Analisis Penilaian Guru Memakai Metode Visekriterijumsko Kompromisno Rangiranje (VIKOR),” J. Ilm. Mandala Educ., vol. 6, no. 1, pp. 6–11, 2020, doi: 10.36312/jime.v6i1.1099.

A. Nur Khormarudin, “Teknik Data Mining: Algoritma K-Means Clustering,” J. Ilmu Komput., pp. 1–12, 2016.

S. I. Hukum and D. Binbangkum, “Blt dana desa berdampak besar pada pemulihan ekonomi desa,” 2021.


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Published

2024-06-29

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