On Saturday – Sunday 26 – September 27, 2020, the Department of Mathematics Education FPMIPA UPI conducted pkm activities in the form of seminars and online workshops with the theme “Development of Innovative Learning Models to Improve The Professionalism of Junior High School Math Teachers”. […]
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Congratulations to FPMIPA UPI students, for their achievements at the National and International level achieved in July to September 2020. The 26th International Mathematics Competition Honorable Mention: For Nabil Mahatir and Muhammad Thoriq, from the Mathematics and Mathematics Education Program KNMIPA (National Competition for Mathematics and Natural Sciences) 2020 Alhamdulillah, two students of the
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LOGIC The UPI Department of Mathematics Education is a means for cadreization objects in getting to know the Department of Mathematics Education and getting motivated to get excited about the upcoming lecture activities. This activity was held through a media video conference on September 3,
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Online Thesis Defense An online thesis hearing was held with a number of students held on August 26, 2020. [metaslider id=”8094″]
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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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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
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
