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INDONESIA
MATEMATIKA
Published by Universitas Diponegoro
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Articles 6 Documents
Search results for , issue "Vol 9, No 3 (2006): JURNAL MATEMATIKA" : 6 Documents clear
SISTEM PERSAMAAN LINEAR ATAS RING KOMUTATIF SRRM, Titi udjiani
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

Linear systems  equations over commutatif ring are linear systems  equations with the coeffici-ents of these equations are elements from commutatif ring. This paper discusses about basic theorems on solution of linear systems equations over commutatif ring. The basic theorems will be found by using characteristic of ideal ,annihilator and rank of coefficient matrices of linear systems equations over commutatif ring. The ideal  is generated by minors of coefficient matrices of linear systems equations over commutatif ring. Computing the annihilator of ideal we get the rank of coefficient matrices of linear systems equations over commutatif ring
PEMILIHAN ARSITEKTUR OPTIMAL MODEL NN DENGAN METODE KONTRIBUSI INCREMENT Wuryandari, Triastuti
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

Neural Network is an information processing system that has certain characteristic in common with biological neural network. In development NN has been many applied in several surface, one of them is for forecasting. For the best application of NN, architecture has determined. One of methode to get optimal architecture NN is incremental contribution methods. This methods will to determine the size of hidden and input cell in the network with excluding respectively. One of the unit cell with a low incremental contribution will be exclution from network. The result shows that the incremental contribution methods is capable reducing the size of the network is propozed, so getting optimal architecture from network.
EFISIENSI SISTEM BONUS MALUS SEBAGAI MODEL RANTAI MARKOV Supandi, Supandi
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

. Developed bonus malus system (BMS) is to make the premium paid by insured will be as closed as possible with expected occurrence of claim in every year basis. To study the efficiency of a BMS, we must previously observe the effect of claim frequency on value of premium. The efficiency of Bonus Malus System can be found through its Markov model; that is by found a stationary distribution in form of line vectors of its BMS Markov chain with its components as a function of claim frequency. In this paper, the BMS used is that of Brazil.
PERANCANGAN DAN IMPLEMENTASI PERANGKAT LUNAK SISTEM PENCOCOKAN SIDIK JARI DENGAN ALGORITMA FILTERBANK GABOR Widodo, Aris Puji; Adi, Kusworo
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

From research result used filterbank gabor algorithms, can give 96 (24 x 4) featurres from 24 sector with 4 filter. Gabor filter use 23 x 23 with orientation change 00, 450, 900, dan 1350. Each orientation angle change will be rotation gabor filter on to its. Make feature vector or FingerCode with Avarage Absolute Deviation (AAD) are average value from difference pixels number for each sector and centre value on sector. Error system on disjoint between FAR dan FRR with value 3,6% and threshold value 39. Then slope from GAR graphic value 400, this is proving that this system is running a good, cause slope recommendation value 450.
LOKALISASI ORE Ratnasari, Lucia
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

Let  be a noncommutative ring and  be a multiplicative subset of . The right (left) ring of quotients does not exist for every. A necessary condition of existence right (left) ring of quotients is  right (left) permutable and right (left) reversible. A multiplication subset  is called a right (left) denominator if it is right (left) permutable and right (left) reversible. The ring  has a right (left) ring of quotients with respect to  if and only if  is a right (left) denominator set. We can construct right (left) ring of quotients by using Ore localizations.
INFERENSI FUNGSI KETAHANAN DENGAN METODE KAPLAN-MEIER Widiharih, Tatik; Andriani, Nasichah Siska
MATEMATIKA Vol 9, No 3 (2006): JURNAL MATEMATIKA
Publisher : MATEMATIKA

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Abstract

. Let T be a nonnegatif random variable representing the life time of individuals in some population. Life time data of individuals are devided in two kinds, cencored and uncencored data. The probability of an individual surviving till time t is given by the survival function S(t)=P(T≥t). Product Limit estimator (Kaplan-Meier estimator) is a nonparametric method to find the survival function for cencored data.  

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