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Yuni Yulida
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Mathematics Department, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat University. Jl. A. Yani KM.35.8 Banjarbaru, Kalimantan Selatan
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Epsilon: Jurnal Matematika Murni dan Terapan
Published by Universitas Lambung Mangkurat
ISSN : 19784422     EISSN : 26567660     DOI : http://dx.doi.org/10.20527
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Transportation
Jurnal Matematika Murni dan Terapan Epsilon is a mathematics journal which is devoted to research articles from all fields of pure and applied mathematics including 1. Mathematical Analysis 2. Applied Mathematics 3. Algebra 4. Statistics 5. Computational Mathematics
Arjuna Subject : Matematika - Matematika Terapan
Articles 6 Documents
 1 
Search results for , issue "Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2" : 6 Documents clear
PENGGUNAAN BENTUK SMITH UNTUK MENENTUKAN BENTUK KANONIK MATRIKS NORMAL DENGAN ENTRI-ENTRI BILANGAN KOMPLEKS Thresye Thresye
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (111.819 KB) | DOI: 10.20527/epsilon.v4i2.61

Abstract

A normal matrix A with complex number entries is a square matrix n x n with the properties of AA A A.    where t A  A  ie tranpose comrade from matrix A. The normal matrix with complex number entries consists of a unitary matrix, the Hermite matrix and Hermite matrix tilt. Normalized matrices that can not be diagonalized can be brought into shape canonical by using row and column operations called Smith Shapes. Form canonical is a matrix that is close to a diagonal matrix.
IDEAL MAKSIMAL DAN IDEAL PRIMA NEAR-RING Saman Abdurrahman
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.946 KB) | DOI: 10.20527/epsilon.v4i2.62

Abstract

This study discusses the near-ring ideal covering the ideal near-ring ideal and ideal prime near-ring. Next, we studied the relationship between ideal near-ring ideal and ideal prime near-ring.
TEOREMA TITIK TETAP BANACH PADA RUANG METRIK-D Muhammad Ahsar Karim; Dewi Sri Susanti; Nurul Huda
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.373 KB) | DOI: 10.20527/epsilon.v4i2.58

Abstract

In the space of metrics known the fixed point theorem of Banach. In this paper, the theorem will be constructed in the D-metric space. This study begins with construction concepts: open ball, open set, convergent lines, and Cauchy rows respectively in the D-metric space. Then given the concept of continuous mapping and mapping continuous uniform in the D-metric space. Further constructed Banach's fixed point theorem at in the D-metric space.
KETERKENDALIAN SISTEM LINIER DIFERENSIAL BIASA TIME-VARYING DAN SISTEM LINIER DIFERENSIAL PARSIAL DENGAN PENDEKATAN MODUL ATAS OPERATOR DIFERENSIAL Na'imah Hijriati
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.688 KB) | DOI: 10.20527/epsilon.v4i2.63

Abstract

Suppose,,,,] 1 2 3 [n D  K d d d d d d linear differential operators with coefficients in K, which meet  a K; he = adi + ia. D is a linear differential carrier ring with intermediate properties else: D does not contain a zero divide, is not commutative, and for every d d D i j, , i, j  1, , n and for every a, b  K apply i j i j i j ad (bd)  abd d  a ( b) d. Let M be a top module D formed from an ordinary differential linear system (OD) time-varying or partial differential linear (PD) systems under control. The relationship between systems OD or linear PD with module M over D is a linear OD or PD system if and only if M the top module D determined by the equation is a torque-free module. Therefore to indicate a system of OD or PD linear simply indicated module formed by the equation is torque-free, expressed in a formal test to indicate a module over D is torque free. and if it is associated with a plane linear differential operators are controlled linear PD control systems if and only if parametrizable.
PCA-RBPNN UNTUK KLASIFIKASI DATA MULTIVARIAT DENGAN ORTHOGONAL LEAST SQUARE (OLS) Oni Soesanto
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (211.318 KB) | DOI: 10.20527/epsilon.v4i2.64

Abstract

This study will examine the PCA-RBPNN (Principal Component Analysis-Radial Basis) Probabilistic Neural Network) for the classification of multivariate data. The Main Component Analysis (PCA) has widely known in statistics as a method used to reduce the input dimension of the data multivariate by minimizing information loss. In this case, PCA is used to reduce dimensional input on the RBPNN neural network. The clustering process and initialization center is done with Self-Organizing Map (SOM). For the determination of weights during the learning process on the RBPNN network, using the Orthogonal Least Square (OLS) algorithm. Furthermore, PCA-RBPNN method is used for the classification of multivariate data. Accuracy of PCA-RBPNN classification is simulated and compared with the usual RBPNN model.
ANALISIS REGRESI LINEAR BERGANDA DENGAN SATU VARIABEL BONEKA (DUMMY VARIABLE) Tanti Krisnawardhani; Nur Salam; Dewi Anggraini
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 4, No 2 (2010): JURNAL EPSILON VOLUME 4 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (129.582 KB) | DOI: 10.20527/epsilon.v4i2.60

Abstract

To accommodate the existence of free qualitative variables into the regression model then used variable dummy (variable dummy) in the regression equation that can be written as follows: i i i i Y     X   D  0 1 2. This study aims to determine parameter estimation of the multiple linear regression model with one variable the puppet uses the least squares method, determining the model match test statistic using the method likelihood ratio and apply the model in the case example. The results showed that the parameter estimation of the regression model is: β  X'X (X'Y) 1  . Application of usage this regression model is in the example about the calculation of tuition fees Y based on the average Scholastic Aptitude Test (X nilai) and university type D so obtained the following model: Y  7263,56 19,52X  8732,418D 

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