Class Division of MKKF Mathematics Study
Class Division of MKKF Mathematics Study Read More »
PLSP Webinar for Students At Home and Abroad
WebinarIntroduction of Field Education Unit of Mathematics Education Students at Home and Abroad The introduction of Field Education Unit (PLSP) Of Mathematics Education Students at Home and Abroad is an event for students to get to know plsp both at home and abroad Sources: Dr. Lili Nurlaili M.Ed. Education and Cultural Response of the
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>> Application of Lachenbruch Procedure in Quadratic Case of Discriminant Analysis (by Dewi Rachmatin and Kania Sawitri)
Presented at the National Seminar on Mathematics and Mathematics Education Department of Mathematics Education FPMIPA UPI Year 2009 Abstract The results of research on Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) mostly use the Apparent Error Rate (APER) method in evaluating grouping rules in Discriminant Analysis. This APER method has the advantage of
>> Data Clustering Using Divisive Analysis Method (Diana) (by: Chandra Gunawan, Dewi Rachmatin, and Maman Suherman)
It was announced at unisba mathematics seminar in 2014 Abstract Cluster Analysis is a data grouping analysis that groups data based on the information specified in the data. The purpose of cluster analysis is for objects in one group to have similarities to each other whereas with different objects the groups have differences. The process
>> UPI Math Science Club Data
Data Science Club is a study group for UPI Mathematics students formed by Gamatika and DSI (Data Science Indonesia). This activity was formed on the basis of the needs of the world of work that entered the era of Industry 4.0, where the demand for data scientists increased but the skilled workforce in the field
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>> Comparison between Agglomerative Method, Divisif Method, and K-Means Method in Cluster Analysis (by Dewi Rachmatin and Kania Sawitri)
It was announced at the UNPAR National Seminar on Mathematics in 2014 Abstract The process of grouping data in cluster analysis can be done with two methods: hierarchy method and non-hierarchy method. Hierarchical methods are clustering methods that form the construction of a hierarchy based on a certain level such as a tree structure. This
>> Improving Motivation of Algorithmic And Programming Lecture 2 Through e-Learning (by Rini Marwati, Khusnul Novianingsih, and Dewi Rachmatin)
It was announced at the Second International Conference on Primary Education at UPI Sumedang Campus, October 29, 2011 Rini Marwati, Khusnul Novianingsih, and Dewi Rachmatin Department of Mathematics Education Faculty of Mathematics and Natural Sciences Education Indonesian University of Education Introduction The rapid advancement of science and technology, especially information and communication technology (ICT) affects