Karya

How to Modify a Math Problem

By: Al Jupri Question: How the hell do I modify the math problem? The word “modification” in the English Dictionary means “alteration” or “change”. Usually if we modify “something”, then this action can be interpreted as an activity of converting that “something” into “something else”. ‘”Something else” made changes could be better than the original …

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Brain Based Learning

By: Asep Sapa’at, S.Pd. “Sitting still in a confined place is one of the most severe punishments that can be imposed on man. But this is what we often do to our students in class” (Edward T. Hall) Man’s greatest specialty when compared to other beings lies in his ability to think as a cultured …

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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 …

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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 …

Data Clustering Using Divisive Analysis Method (Diana) (by: Chandra Gunawan, Dewi Rachmatin, and Maman Suherman) Read More »

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 …

Comparison between Agglomerative Method, Divisif Method, and K-Means Method in Cluster Analysis (by Dewi Rachmatin and Kania Sawitri) Read More »

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 …

Improving Motivation of Algorithmic And Programming Lecture 2 Through e-Learning (by Rini Marwati, Khusnul Novianingsih, and Dewi Rachmatin) Read More »

Weighted Principal Component Analysis (WPCA) Method Application with S-PLUS2000 Software (by Dewi Rachmatin)

Published in UNSRI Journal of Science Research Vol.17, No.2, May 2015 19Reviews , 10Followers UPI’s FPMIPA Department of Mathematical Education dewirachmatin@upi.edu Essence: A new method for reducing high-dimensional space developed from the PCA method Weighted Principal Component Analysis (WPCA) was introduced by J.F. Pinto da Costa, H. Alonso and L. Roque (2011). Therefore in the …

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Application of Agglomerative Methods in Cluster Analysis on Air Pollution Level Data (by Dewi Rachmatin)

Published in Journal of Infinity STKIP Siliwangi Bandung Vol 3, No.2, September 2014 By: Dewi Rachmatin (dewirachmatin@upi.edu) FPMIPA UPI Mathematics Education Courses Abstract Cluster Analysis is a data grouping analysis that groups data based on the information found in the data. The purpose of cluster analysis is for objects in one group to have similarities …

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Behind Good Math Learning – Last Section : Researching Learning (by Endang Mulyana)

Previous : Part 4 : Accompanying Prospective Teachers The experience of taking a Lesson Study and studying DDR seemed to cure my desire to meet and learn directly from a good math teacher. That experience instills a whole set of criteria that are important to learn. More than that, various aspects of interconnectedness and forming …

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