Penerapan Metode K-Means Clustering Untuk Analisis Potensi Lahan Pangan Pada Provinsi Kalimantan Selatan

Rhaka Pradena Harjono(1*), Magdalena A. Ineke Pakereng(2),

(1) FTI UKSW, Salatiga, Indonesia
(2) FTI UKSW, Salatiga, Indonesia
(*) Corresponding Author

Abstract


National food needs are increasing along with the current population of 237 million people with growth that continues to increase every year, so it needs to be balanced with the provision of sufficient agricultural land resources. The application of the K-Means in the grouping of potential agricultural land in South Kalimantan Province, with the aim of obtaining groups of potential land data. By using the K-means clustering algorithm, the data is divided into 3 clusters, namely cluster 0 with a low potential of 6 districts, cluster 1 with a medium potential of 5 districts, and cluster 2 with a high potential of 2 districts.

Full Text:

PDF

References


D. Kaparang And E. Sediyono, “Penentuan Alih Fungsi Lahan Marginal Menjadi Lahan Pangan Berbasis Algoritma K-Means Di Wilayah Kabupaten Boyolali,” Sep. 2013.

R. L. Parmawati, I. A. Prabowo, And T. Susyanto, “Clustering Potensi Susu Sapi Perah Di Kabupaten Boyolali Menggunakan Algoritma K-Meansk-Means,” Jurnal Teknologi Informasi Dan Komunikasi (Tikomsin), Vol. 7, No. 1, Jul. 2019, Doi: 10.30646/Tikomsin.V7i1.413.

R. Deni And P. Setiawan, “Penerapan Metode K-Means Clustering Untuk Analisis Potensi Produksi Komoditi Buah Pada Kabupaten Lumajang,” 2018.

S. Fleanry Mulaki Et Al., “Analisis Data Mahasiswa Menggunakan Algoritma K-Means Clustering Sebagai Dasar Pelaksana Promosi,” 2018. [Online]. Available: Https://Journal.Ubm.Ac.Id/Index.Php/Jbase

R. Pormes And D. H. F. Manongga, “Penggunaan Algoritma Clustering K-Means Untuk Melihat Daerah-Daerah Penyuplai Mahasiswa Di Biro Promosi Uksw,” Jurnal Teknik Informatika Dan Sistem Informasi, Vol. 5, Pp. 2443–2229, 2019, Doi: 10.28932/Jutisi.V5i2.1968.

“Badan Pusat Statistik Provinsi Kalimantan Selatan.” Https://Kalsel.Bps.Go.Id/Subject/53/Tanaman-Pangan.Html#Subjekviewtab3 (Accessed Oct. 21, 2022).




DOI: http://dx.doi.org/10.30645/j-sakti.v7i1.596

Refbacks

  • There are currently no refbacks.


J-SAKTI (Jurnal Sains Komputer & Informatika)
Published Papers Indexed/Abstracted By:

Jumlah Kunjungan :

View My Stats