>>Caderization? Do?

  Perhaps many are astonished and still wonder why there should be cadreization in every organization. Whether it’s in organizations on campus or community organizations must have a system called cadreization. What is the importance of cadreization to the organization? Cadreization can be likened to the heart of an organizational system, without cadreization it can

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>> Behind Good Mathematics Learning – Part 1 : Conception of Learning (by Endang Mulyana)

There’s one question that’s been raised since I became a student three decades ago: What does teaching good math look like? There are indeed many people who talk about the various criteria of good math teachers. However, until now no one has ever shown such a teacher figure. How do we understand the conception of

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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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>> Teacher As Learner Agent

By: Asep Sapa’at, S. Pd. Teachers as teachers, ordinary things. Teacher as a learner agent, it’s just amazing. Why would a teacher as a learner’s agent be something extraordinary? This question becomes very interesting if we try to first look at the analysis from Prof. Masaaki Sato, an education expert from Japan, about the educational

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>> Singularly Perturbated Conservative System

Title: SINGULARLY PERTURBATED CONSERVATIVE SYSTEM By : Fajar Adi Kusumo Abstract: In mathematical modeling on global climate issues known ultra-low Frequency Variability (ULFV) models. This model is derived from the Navier-Stokes equation which describes the interaction between weather patterns measured in sub-tropical regions over a long period of time (years). Using datasets obtained from 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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