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Implementasi K-Means pada Klasterisasi Jenis Disabilitas Dwiana, Fadiah Irine; Utami, Wika Dianita; Hamid, Abdulloh; Sriasih
Journal of Mathematics, Computations and Statistics Vol. 6 No. 1 (2023): Volume 06 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

Disability need assistance from the authorities to support the activities of persons with disability. Types of disability include physical disability, visual impairment, speech impairment and mental disorders. This study goal of this study to cluster disability per sub-district in Sidoarjo Regency by type of disability using the K-Means method. The data used is data on the number of disability in Sidoarjo Regency from January to August 2022. This cluster analysis produces four optimal clusters with the highest silhouette coefficient value of 0.33. The results of the analysis of this study formed 4 clusters in the first cluster, namely 4 sub-districts with a very high number of disability, the second cluster, namely 4 sub-districts with a high number of disabilitys, the third cluster only 1 sub-district with a moderate number of disabilitys, the fourth cluster, namely 5 sub-districts with a low number of disability.
Implementasi Algoritma K-Medoids pada Klasterisasi Produksi Jenis Tanaman Pangan di Provinsi Jawa Timur Dwiana, Fadiah Irine; Bahri, Saiful
Jurnal Matematika Integratif Vol 20, No 1: April 2024
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmi.v20.n1.47278.25-34

Abstract

Masih ada beberapa kabupaten/kota di Provinsi Jawa Timur yang belum optimal dalam produksi jenis tanaman pangan, terkadang produksi menurun karena banyak kendala yang dihadapi petani. Jenis tanaman pangan antara lain yaitu padi, beras, jagung, dan kedelai. Penelitian ini bertujuan untuk mengclusterkan produksi jenis tanaman pangan tiap kabupaten di Provinsi Jawa Timur menggunakan algoritma K-Medoids. data produksi jenis tanaman pangan per ton di Provinsi Jawa Timur pada tahun 2022. Analisis cluster ini menghasilkan dua cluster optimal dengan nilai silhouette coefficient tertinggi yaitu 0.61. Hasil analisis penelitian ini terbentuk 2 cluster pada cluster pertama yaitu 33 kabupaten/kota dengan produksi jenis tanaman pangan tinggi, cluster kedua yaitu 5 kabupaten/kota dengan produksi jenis tanaman pangan rendahKata kunci:  Algoritma K-Medoids, Analisis Cluster, Produksi Jenis Tanaman Pangan, Silhoutte Coefficient.