Pengaplikasian Data Mining Dalam Mengelompokan Data Penerima Bantuan Subsidi Rumah dengan Menggunakan Metode K-Means Clustering
- Alvendo Wahyu Aranski Institut Teknologi Batam, Batam, Indonesia
- Sarah Astiti Institut Teknologi Telkom Purwokerto, Purwokerto, Indonesia
- Riko Andrian Putra Institut Teknologi Dan Ilmu Sosial Khatulistiwa, Pasaman, Indonesia
-
Darmansah Darmansah
*
Universitas Putera Batam, Batam,
Indonesia
(*) Corresponding Author
Abstract
From 2015 until now, the government has provided assistance for house renovations in the Tembesi area, Sagulung sub-district, Batam City. However, in determining the provision of assistance, sub-district governments sometimes face problems in determining which people will receive housing subsidies and there is no scheme or category for determining recipients of assistance. Therefore, the author will conduct this research by grouping or clustering the eligibility of recipients of housing subsidy assistance using the K-Means algorithm. The K-Means clustering algorithm can group each data into sets, so that data sets with the same characteristics will be grouped in the same set, or data sets with different characteristics will be grouped in different sets. The purpose of grouping is to determine that group 0 and group 1 are eligible to receive housing subsidy assistance, and group 1 is not. This research uses metrics such as number of family members, employment, housing conditions, and income. The results of this research obtained 91 data in cluster 0 and 79 data in cluster 1. Thus, from the 170 data, 91 people were eligible for housing subsidy assistance, and 79 people were not eligible
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References
U. S, “Penerapan Data Mining Dengan Mengimplementasikan Algoritma K-Means Dalam Proses Clustering Untuk Pengelompokan Mahasiswa Calon Penerima Beasiswa KIP,” Build. Informatics, Technol. Sci., vol. 5, no. 1, 2023, doi: 10.47065/bits.v5i1.3411.
D. N. Alfiansyah, V. R. S. Nastiti, and N. Hayatin, “Penerapan Metode K-Means pada Data Penduduk Miskin Per Kecamatan Kabupaten Blitar,” J. Repos., vol. 4, no. 1, pp. 49–58, 2022, doi: 10.22219/repositor.v4i1.1416.
S. Saragi, M. U. Batoebara, and N. A. Arma, “Analisis Pelaksanaan Program Keluarga Harapan (Pkh) Di Desa Kota Rantang Kecamatan Hamparan Perak,” Publik J. Manaj. Sumber Daya Manusia, Adm. dan Pelayanan Publik, vol. 8, no. 1, pp. 1–10, 2021, doi: 10.37606/publik.v8i1.150.
N. Fitra Tsania, B. Setiawati, and S. R. Arfah, “Implementasi Program Bantuan Langsung Tunai (Blt) Bagi Masyarakat Miskin Di Desa Laringgi Kabupaten Soppeng,” KIMAP (Kajian Ilmu Mhs. Adm. Publik), vol. 4, no. 4, pp. 2245–2256, 2023, [Online]. Available: https://journal.unismuh.ac.id/index.php/kimap/index.
N. Ngabito, D. A. Razak, and B. Raf, “Implementasi Program Bantuan Rumah Hunian Bagi Masyarakat Miskin Di Provinsi Gorontalo,” Provid. J. Ilmu Pemerintah., vol. 2, no. 1, pp. 76–93, 2023, doi: 10.59713/projip.v2i1.515.
K. N. Azizah, A. K. Nuzuli, and W. Oktaviana, “Implementasi Program Bantuan Langsung Tunai (BLT) Bagi Masyarakat Miskin di Nagari Batang Arah Tapan,” J. Pengabdi. Masy. dan Ris. Pendidik., vol. 2, no. 1, pp. 241–245, 2023, doi: 10.31004/jerkin.v2i1.154.
A. Ahyar, “Optimalisasi Pelayanan Bantuan Hukum Bagi Masyarakat Miskin,” J. Penelit. Huk. Jure, vol. 20, no. 3, p. 409, 2020, doi: 10.30641/dejure.2020.v20.409-434.
A. Kurniawan, N. Farkhatin, and M. Hidayah, “Sistem Pendukung Keputusan Penerimaan Bantuan Program Keluarga Harapan Menggunakan Metode Ahp,” Semnas Ristek (Seminar Nas. Ris. dan Inov. Teknol., vol. 8, no. 01, pp. 171–175, 2024, doi: 10.30998/semnasristek.v8i01.7152.
R. Daswito and N. A. Cahyadi, “PH , suhu air , dan perilaku pemberantasan sarang nyamuk terhadap keberadaan jentik nyamuk Aedes sp di Tembesi Lama , Kota Batam PH , water temperature , and eradication of mosquito den behavior on the presence of Aedes sp mosquito larvae in Tembesi Lama ,” vol. 04, no. 01, pp. 1–9, 2024.
R. Antonio, “Kajian Faktor-Faktor Yang Mempengaruhi Perkembangan Morfologi Kota Batam, Studi Pada Kawasan Jodoh,” Sigma Tek., vol. 6, no. 2, pp. 511–513, 2023, doi: 10.33373/sigmateknika.v6i2.5542.
S. Amaliyah, Jasmir, and S. Rianti, “Penerapan Data Mining Untuk Menentukan Kelompok Prioritas Penerima Bantuan PKH Menggunakan Metode Clustering K-Means Pada Desa Kuala Dendang,” J. Inform. Dan Rekayasa Komputer(JAKAKOM), vol. 3, no. 1, pp. 453–458, 2023, doi: 10.33998/jakakom.2023.3.1.802.
D. Darmansah, “Analisa Penyebab Kerusakan Tanaman Cabai Menggunakan Metode K-Means,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 7, no. 2, pp. 126–134, 2020, doi: 10.35957/jatisi.v7i2.309.
I. Iin, R. Fadila, A. Rizki Rinaldi, and F. Fathurrohman, “Penerapan Data Mining Dalam Mengelompokan Jumlah Umkm Berdasarkan Kabupaten Kota Menggunakan K-Means Clustering,” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 2, pp. 1446–1450, 2024, doi: 10.36040/jati.v8i2.8427.
E. F. L. Awalina and W. I. Rahayu, “Optimalisasi Strategi Pemasaran dengan Segmentasi Pelanggan Menggunakan Penerapan K-Means Clustering pada Transaksi Online Retail,” J. Teknol. dan Inf., vol. 13, no. 2, pp. 122–137, 2023, doi: 10.34010/jati.v13i2.10090.
F. Febriansyah and S. Muntari, “Penerapan Algoritma K-Means untuk Klasterisasi Penduduk Miskin pada Kota Pagar Alam,” JISKA (Jurnal Inform. Sunan Kalijaga), vol. 8, no. 1, pp. 66–77, 2023, doi: 10.14421/jiska.2023.8.1.66-77.
G. Sonia and R. A. Putri, “Penerapan Metode K-Means Clustering Untuk Mengelompokkan Data Kelayakan Penerima Bantuan Renovasi Rumah,” Build. Informatics, Technol. Sci., vol. 5, no. 2, pp. 442–455, 2023, doi: 10.47065/bits.v5i2.4298.
P. Dwi Lestari and M. Mulyawan, “Datamining Pada Penjualan Air Bersih Di Spam Akidah Menggunakan Algoritma K-Means Clustering Menggunakan Rapidminer,” JATI (Jurnal Mhs. Tek. Inform., vol. 7, no. 1, pp. 412–416, 2023, doi: 10.36040/jati.v7i1.6315.
W. Winayah, R. Kurniawan, and Y. Arie Wijaya, “Penerapan Data Mining Clustering Menggunakan Algoritma X-Means Pada Data Penerima Bantuan Program Keluarga Harapan Di Desa Gebang Kulon Kabupaten Cirebon,” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 1, pp. 982–988, 2024, doi: 10.36040/jati.v8i1.8827.
Y. I. Kurniawan, “Pengelompokan Prioritas Negara Yang Membutuhkan Bantuan Menggunakan Clustering K-Means dengan Elbow dan Silhouette,” J. Pendidik. dan Teknol. Indones., vol. 3, no. 10, pp. 455–463, 2023, [Online]. Available: https://doi.org/10.52436/1.jpti.343.
E. Dwiguna and A. Bahtiar, “Penerapan Data Mining Untuk Menentukan Penerima Bantuan Blt Menggunakan Metode Clustering K-Means Pada Desa Pamulihan,” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 2, pp. 1382–1388, 2024, doi: 10.36040/jati.v8i2.9029.
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Copyright (c) 2024 Alvendo Wahyu Aranski, Sarah Astiti, Riko Andrian Putra, Darmansah Darmansah
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