Analisis Klasifikasi Kabupaten Di Jawa Tengah Berdasarkan Populasi Ternak Menggunakan Fuzzy Cluster Means

Abstract

One of the fundamental problems that always exist in a regions in Indonesia is the problem of poverty. Various poverty reduction efforts initiated by the Central Government and the Regions is now experiencing growth and significant shifts in accordance with the direction and context of poverty reduction targets. To overcome poverty, one of the things done by the Central Java provincial government is to help livestock. Livestock types cultivated in Central Java, is a large livestock, namely cattle (beef / dairy), buffalo and horses, while small livestock consists of goats, sheep and pigs. For that conducted the study to classify cities in Central Java into groups based on livestock population. The grouping using fuzzy cluster analysis means. From this study showed that of the three kinds of clusters obtained many tried to do the most accurate cluster is 3 clusters with Xie-Beni index 0,3279177, with cluster 1 are 20 city, cluster 2 are 12 City and cluster 3 there are 3 City.

Implementation of Fuzzy C-Means in Clustering Stunting Prone Areas

“…A toddler is said to be stunted if the value of the ratio between height and the standard value of a toddler is below normal than it should be (Wulandari & Kurniawan, 2019). Based on the values of the parameters used in the Fuzzy C-Means method, the results of the cluster based on the location are as follows cluster 1, namely Tanjung Selor; cluster 2 is Tanjung Palas, Pimping, Tanah Kuning, Salimbatu, Sekatak Buji, Bunyu and cluster 3 is Long Bia, Long Bang, Antutan, Long Beluah, Bumi Rahayu.…”

“…Stunting is a chronic nutritional problem that occurs in toddlers, which is defined based on height for an age that is less than negative two standard deviations (<-2SD) or a toddler's height is shorter than it should be (Antunes et al, 2022;Cahyono et al, 2016). A toddler is said to be stunted if the value of the ratio between height and the standard value of a toddler is below normal than it should be (Wulandari & Kurniawan, 2019). There are several determining factors for children under five who experience stunting, namely the nutritional intake factor in children and genetic factors, in other words, following the short stature of parents (Lestari et al, 2014;Paintsil et al, 2022).…”

“…In the hard clustering technique, each data element must be a member or not a cluster member. In contrast, in the fuzzy clustering technique, each data element can be a member of several clusters with different membership values (Wulandari & Kurniawan, 2019). Fuzzy Clustering is also known as soft Clustering, data elements that can be owned by more than one cluster.…”

Klasifikasi Minat Siswa Untuk Program Studi Jurusan Teknologi Informasi - Politeknik Negeri Samarinda Menggunakan Metode Fuzzy C-Means Clustering

“…Clustering adalah proses untuk mengklasifikasi obyek ke dalam kelompok-kelompok yang relative didasarkan obyek di dalam setiap kelompok harus relative mirip [2]. Ada berbagai macam metode clustering antara lain adalah K-means dan Fuzzy C-means.…”

Discriminant Analysis for Determination of Early Childhood Education Accreditation In Southeast Sulawesi Province

“…Articles related to discriminant analysis in the field of education [8] using robust quadratic discriminant analysis with Minimum Covariance Determinant (MCD) estimators to classify specialization data of SMA Negeri 1 Kendal students containing outliers gave classification accuracy results of 95.06% with a percentage of misclassification of 4.94% while classical quadratic discriminant analysis resulted in accuracy classification of 92.59% with a percentage of misclassification of 7.41%. [9] classify the quality of high school students in each sub-district of South Aceh Regency based on final grade data. Dependent variables used are sub-district classifications and independent variables data on the average final high school / MA score for each subject tested in each department of each sub-district.…”