Penerapan Algoritma K-Means Clustering Untuk Pemetaan Kepadatan Penduduk Berdasarkan Jumlah Penduduk Kota Medan

Preddy Marpaung, R. Fanry Siahaan

Abstract


Population density in a large city such as Medan will have many impacts on the community. However, often people, either individuals or groups who want to live or live in the city of Medan, choose their location at will without knowing the existing population density classification, so that they can have a big problem impact on the community or tend to be in a circle of huge problems they will face. if you do not know, choose the place of residence that the community will occupy. The community's ignorance of the location of population density in the city of Medan is due to the absence of knowledge or information on population density mapping. So it is necessary to map the population density as new knowledge for the community to avoid or reduce the impact that will be experienced by people who want to live or reside in the city of Medan. This population density mapping will be grouped into 3 groups (clusters) using the K-Means Cluster algorithm, namely very dense (cluster1), dense (cluster2), and medium (cluster3). The results of population density mapping in the city of Medan, namely the very densely populated area of 121 kelurahan, the densely populated area is 30 sub-districts, and areas are no longer found in the city of Medan.

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References


Bps, “Statistikkotamedan2018,” P. 2264145, 1395.

Bps, “Wilayah & Penduduk,” Morphol. = Морфологія, Vol. 4, No. 1, Pp. 64–72, 2018.

Pemkomedan, “Kependudukan.”

Katadata, “Jumlah Penduduk Medan Terbanyak Di Sumatera Utara,” P. 2045, 2019.

R. Putra, A. Suprayogi, And S. Kahar, “Jurnal Geodesi Undip Oktober 2013 Jurnal Geodesi Undip Oktober 2013,” Geod. Undip, Vol. 2, No. Sistem Informasi Geografis, Pp. 240–252, 2013.

M. I. Ali And M. R. Abidin, “Pengaruh Kepadatan Penduduk Terhadap Intensitas Kemacetan Lalu Lintas Di Kecamatan Rappocini Makassar,” Pros. Semin. Nas. Lemb. Penelit. Univ. Negeri Makassar, Pp. 68–73, 2019.

I. Puspita, L. Ibrahim, And D. Hartono, “Penurunan Kualitas Air Sungai Karang Anyar Kota Tarakan ( Influence Of The Behavior Of Citizens Residing In Riverbanks To The Decrease Of Water Quality In The River Of Karang Anyar Tarakan City ),” J. Mns. Dan Lingkung., Vol. 23, No. 2, Pp. 249–258, 2016.

R. Handayani, “Analisis Dampak Kependudukan Terhadap Tingkat Kriminalitas Di Provinsi Banten,” J. Adm. Publik, Vol. 8, No. 2, Pp. 149–169, 2017.

A. P. Kusuma And D. M. Sukendra, “Analisis Spasial Kejadian Demam Berdarah Dengue Berdasarkan Kepadatan Penduduk,” Unnes J. Public Heal., 2016.

P. Marpaung And H. Pandiangan, “Utilization Of The Moora Method For Recommended Selection Of Best Waiters In Hospitality,” Vol. 4, No. 36, Pp. 566–573, 2020.

D. Candro, P. Sinaga, B. Sianipar, And P. Marpaung, “Pemilihan Calon Manager Dari Pegawai Berprestasi Menggunakan Metode Profile Matching Pada Cv . Glofacia Oceanic,” Vol. 4, No. September, Pp. 643–656, 2020.

P. Marpaung, “Application Of C4.5 Algorithm For Simulation Of Prediction Of Victory In Acceptance Of Several Prospective Employees,” J. Comput. Networks, Archit. High Perform. Comput., Vol. 1, No. 2, Pp. 16–20, 2019.

P. Marpaung And N. Tarigan, “Data Mining For Determining Book Loan Patterns In-Library Using Apriori Algorithm,” Infokum, 2019.

N. S. Pangaribuan and F. Marpaung, “Analysis of Corn Agriculture Data to Predict Harvest Results with Data Mining Algorithm C4 . 5,” vol. 14, no. 2, pp. 235–243, 2020.

P. Marpaung, M. Zarlis, and Z. Situmorang, “Image Qualiy Improvement Using Algorithm Spatial Median Filter And Adaptive Fuzzy Contrast Enhacement,” 2019.

“optimasi asupan ggl.pdf.” .

A. S. R. Sinaga, “Ekstrak Ciri Komunikasi Nonverbal Menggunakan Gray Level Co-Occurrence Matrix,” I N F O R M A T I K A, 2020.

K. Handoko, “Penerapan Data Mining Dalam Meningkatkan Mutu Pembelajaran Pada Instansi Perguruan Tinggi Menggunakan Metode K-Means Clustering (Studi Kasus Di Program Studi Tkj Akademi Komunitas Solok Selatan),” J. Teknol. dan Sist. Inf., vol. 02, no. 03, pp. 31–40, 2016.




DOI: http://dx.doi.org/10.30645/j-sakti.v5i1.343

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