Path: Top -> Journal -> Telkomnika -> 2019 -> Vol 17, No 3, June 2019
A new agglomerative hierarchical clustering to model student activity in online learning
Oleh : Agung Triayudi, Iskandar Fitri, Telkomnika
Dibuat : 2019-05-17, dengan 1 file
Keyword : AHC, CPCC, SLG, students activity, validity index
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9425
Sumber pengambilan dokumen : WEB
A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 100 to 150 words in length. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title. Judicious use of keywords may increase the ease with which interested parties can locate our article.In this paper, a new technique of agglomerative hierarchical clustering (AHC), which is known as single linkage dissimilarity increment distribution, global cumulative score standard (SLG), can work well in analyzing students' activity in online learning as evidenced by obtaining the highest score in testing the validity index of cophenetic correlation coefficient (CPCC) ie 0.9237, 0.9015, 0.9967, 0.8853, 0.9875 of the five datasets compared with conventional agglomerative hierarchical clustering methods.
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Organisasi | Telkomnika |
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Negara | Indonesia |
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