Systematic Literature Review: Penggunaan Algoritma K-Means Untuk Clustering di Indonesia dalam Bidang Pendidikan

Abstract

K-Means is a non-hierarchical data clustering method that can group data into several clusters based on data similarity, so that data with the same characteristics are grouped in one cluster and data with different characteristics are grouped in another cluster. The K-Means method can be used to process various data, including for clustering in the field of education. The use of the K-Means algorithm has been widely carried out but not many activities have been handled and are only often used for selection or acceptance activities and the use of attributes that must be reproduced to get optimal results. In this study, we will review various papers that perform clustering using the K-Means method for research in the field of education. Based on our research, papers related to the use of the K-Means algorithm for clustering in education have proved feasible and useful for future research. So it can be concluded that the K-Means method has been tested to be used for clustering in the field of education and the K-Means method can be useful in many aspects of education, both having an impact on educators, students and other educational aspects.

Parietin, the Vibrant Natural Dye in Xanthoria parietina

“…For this reason, mordants are used. A mordant in general is a metal salt that creates an affinity between the fiber and the dye [32] . In our work, the fabrics dyed with mordants have a good effect on the color nuance.…”

“…Samanta and Konar [32] indicate that aluminum sulfate or other metallic mordants anchored on a fiber combine chemically with certain functional groups present in natural dyes and are connected by coordinate/covalent bonds or hydrogen bonds and other interaction forces as shown in the following Figure 1 [32] . This explains the total absence of the parietin in all textile samples.…”

“…In addition, fabric samples dyed with mordants show a positive effect on color shade [17,30,31] . This is because, after this mordanting process, the added metal salt allows the development of a bridge between the natural dye on the one hand and the fiber on the other hand, which will develop chemical connections [32] …”

“…In general, the metal salt formed complexes between the fiber and the dye [32] . According to Samanta and Konar, [32] the mordants attached to the fibers attract the dye or organic pigment molecules to attach to the fibers and create a liaison between the dye molecules and the fiber by forming coordination complexes. They can make coordination bonds with the dyeing compounds and the fabrics simultaneously [35] …”

Optimasi Analisis Clustering Untuk Aktivitas Dan Respon Pengguna Media Sosial Dengan K-Means

“…K-Means dikenal sebagai salah satu algoritma paling populer dalam clustering karena sifatnya yang sederhana dan efisien, seperti yang diakui oleh penelitian [9] yang menempatkannya sebagai salah satu dari 10 algoritma data mining teratas. Algoritma ini efektif dalam mengelompokkan data ke dalam cluster-cluster yang saling berdekatan, memfasilitasi analisis pola dan struktur data dengan cara yang mudah dimengerti dan diterapkan [10].…”