Penerapan Algoritma K-Medoids Pada Pengelompokan Penerima Dana Bantuan Sosial Kelurahan Medan Sinembah
|
Abstract
Social assistance is generally part of government programs to support minimum sources of income for poor families. To avoid the uneven distribution of social assistance funds provided, it should be noted that the grouping of data on the population of recipients of social assistance funds aims to make the distribution of social assistance funds right on target to people in need and also so that the distribution of social fund assistance is not misused by parties or individuals who are not responsible for the distribution process. Therefore, a technique or method is needed that can be used to help speed up the process of grouping recipients of social assistance funds and get accurate results so that the funds distributed are not misdirected and the technique is commonly referred to as data mining. The K-Medoids algorithm is one of the algorithms that can be used in data mining for clustering or grouping based on certain criteria. For this reason, it is very suitable to use the K-Medoids algorithm for grouping the economic level of the community, where data from each occupation of Medan Sinembah village is used as a criterion.
Keywords
Full Text:
PDFArticle Metrics
Abstract view : 209 timesPDF - 58 times
References
D. P. Utomo and Mesran, “Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut Pada Data Set Penyakit Jantung,” J. Media Inform. Budidarma, vol. 4, no. 2, pp. 437–444, 2020.
R. N. H. Hutasuhut, H. Okprana, and B. E. Damanik, “Penerapan Data Mining Untuk Menentukan Penerima Program Bidikmisi Menggunakan Algoritma K-Medoids,” TIN Terap. Inform. Nusant., vol. 2, no. 11, pp. 667–672, 2022.
I. Sofi, “EFEKTIVITAS BANTUAN LANGSUNG TUNAI DANA DESA DALAM PEMULIHAN EKONOMI DI DESA,” Indones. Treas. Rev. J. Perbendaharaan, Keuang. Negara dan Kebijak. Publik, vol. 6, no. 3, pp. 247–262, 2021.
Samudi, S. Widodo, and H. Brawijaya, “ALGORITMA K-MEDOIDS UNTUK MENENTUKAN CLUSTERING DATA COVID 19 DI DKI JAKARTA,” JURSIMA J. Sist. Inf. dan Manaj., vol. 10, no. 1, pp. 122–127, 2022.
Reza Gustrianda and D. I. Mulyana, “Penerapan Data Mining Dalam Pemilihan Produk Unggulan dengan Metode Algoritma K-Means Dan K-Medoids,” J. Media Inform. Budidarma, vol. 6, no. 1, pp. 27–34, 2022, doi: 10.30865/mib.v6i1.3294.
R. Anjariansyah and A. Triayudi, “Clustering Kebutuhan Makanan untuk Meminimasi Standar Deviasi Angka Kebutuhan Gizi Menggunakan Algoritma K-Means dan K- Medoids,” J. Media Inform. Budidarma, vol. 6, no. 1, pp. 597–607, 2022, doi: 10.30865/mib.v6i1.3522.
D. Jollyta, W. Ramdhan, and M. Zarlis, Konsep Data Mining Dan Penerapan. Yogyakarta: Deepublish, 2020.
S. Sindi, W. R. O. Ningse, I. A. Sihombing, F. I. R.H.Zer, and D. Hartama, “ANALISIS ALGORITMA K-MEDOIDS CLUSTERING DALAM PENGELOMPOKAN PENYEBARAN COVID-19 DI INDONESIA,” J. Teknol. Inf., vol. 4, no. 1, 2020.
D. Marlina, N. Lina, A. Fernando, and A. Ramadhan, “Implementasi Algoritma K-Medoids dan K-Means untuk Pengelompokkan Wilayah Sebaran Cacat pada Anak,” J. CoreIT, vol. 4, no. 2, 2018.
V. A. P. Sangga, “Perbandingan Algoritma K-Means dan Algoritma K-Medoids Dalam Pengelompokan Komoditas Peternakan di Provinsi Jawa Tengah,” UNIVERSITAS ISLAM INDONESIA, 2018.
D. F. Pramesti, M. T. Furqon, and C. Dewi, “Implementasi Metode K-Medoids Clustering Untuk pengelompokan Data Potensi Kebakaran Hutan/Lahan Berdasarkan Persebaran Titik Panas (Hotspot),” JPTIIK, vol. 1, no. 9, 2017.
S. R. Ningsih, I. S. Damanik, A. P. Windarto, H. S. Tambunan, Jalaluddin, and A. Wanto, “Analisis K-Medoids Dalam Pengelompokkan Penduduk Buta Huruf Menurut Provinsi,” 2019.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Algoritma K-Medoids Pada Pengelompokan Penerima Dana Bantuan Sosial Kelurahan Medan Sinembah
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Sylvia Situmorang, Rivalri Cristianto Hondro, Sumiati Sumiati

This work is licensed under a Creative Commons Attribution 4.0 International License.
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
P3M STMIK Budi Darma
Sekretariat Jln. Sisingamangaraja No. 338 Telp 061-7875998
email: komik@univ-bd.ac.id, komik.budidarma@gmail.com

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