ANALISIS PENENTUAN HAMBATAN PEMBELAJARAN DARING DENGAN METODE ALGORITMA K-MEANS CLUSTERING (STUDI KASUS : SMK YASPIM GEGERBITUNG)

SIM

Abstract

Since the increase in Covid-19 in Indonesia, many new policies have been made by the government in prevention efforts. One of them is in the field of education through the Circular of the Ministry of Education and Culture No. 3692/MPK.A/HK/2020 concerning "Online Learning from home in the context of preventing the spread of coronavirus disease (Covid -19)", YASPIM Vocational School as one of the institutions at the lowest level, must respond and obey the circular letter from the Ministry of Education and Culture. According to the principal, namely Mr. Rosad Furqon, S.Ag., M.Pd, the process of online learning activities has not been maximized, especially in supporting learning facilities because the parents of students who attend school in this area are mostly middle-income, so not all students have sufficient supporting equipment. for online learning, in certain areas there are still signal problems, and teachers also complain about the declining achievement of student learning outcomes. To make it easier for schools and the government to take action in an effort to support the process of online teaching and learning activities, it is necessary for researchers to contribute ideas to determine the level of barriers to online learning, which are made into 2 clusters, namely a low cluster and a high cluster. In this study, researchers analyzed the level of barriers to online learning at YASPIM Vocational School by using the k-means clustering algorithm, which is a research field in analysis and data mining. In this algorithm, the grouping technique is based on the similarity of data that does not have any reference (unsupervised). However, it will divide the entire data into groups or have the same resemblance. Basically, this algorithm calculates the distance between each data center and the data center (centroid) to measure the similarity of the data. The results of this study obtained 10 low cluster classes, and 5 high cluster classes on online learning barriers at YASPIM Gegerbitung Vocational School.