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E-Jurnal Matematika
Published by Universitas Udayana
ISSN : 23031751     EISSN : -     DOI : -
Core Subject : Education,
Mathematics
E-Jurnal Matematika merupakan salah satu jurnal elektronik yang ada di Universitas Udayana, sebagai media komunikasi antar peminat di bidang ilmu matematika dan terapannya, seperti statistika, matematika finansial, pengajaran matematika dan terapan matematika dibidang ilmu lainnya. Jurnal ini lahir sebagai salah satu bentuk nyata peran serta jurusan Matematika FMIPA UNUD guna mendukung percepatan tercapainya target mutu UNUD, selain itu jurnal ini terbit didorong oleh surat edaran Dirjen DIKTI tentang syarat publikasi karya ilmiah bagi program Sarjana di Jurnal Ilmiah. E-jurnal Matematika juga menerima hasil-hasil penelitian yang tidak secara langsung berkaitan dengan tugas akhir mahasiswa meliputi penelitian atau artikel yang merupakan kajian keilmuan.
Arjuna Subject : -
Articles 10 Documents
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Search results for , issue "Vol 4 No 3 (2015)" : 10 Documents clear
PEMODELAN STRUKTURAL DARI EMOSI POSITIF SEBAGAI PEMEDIASI TERHADAP PEMBELIAN TIDAK TERENCANA NI WAYAN ARNI YANITA; KETUT JAYANEGARA; I PUTU EKA N. KENCANA
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p096

Abstract

Latent variables are variables that can not be observed directly. Latent variables can be observed with constituent indicators. One of the methods used to analyze the latent variables are Structural Equation Modeling (SEM). This research raised the case of impulse buying to be applied to the SEM method. Impulse buying influenced by the characteristics of the hypermarket, situational factors, the characteristics of the product, promotion and positive emotions. The purpose of this research was to determine the effect dari positive emotions as mediation to impulse buying.The results obtained indicate that positive emotions directly affect the impulse buying of 0.302, promotion directly affects the positive emotions of 0.367, and the promotion of indirect effect to impulse buying of 0.111. So positive emotions can mediate to impulse buying of 0.020. Goodness of fit mediation models not good with value 0.39.
ANALISIS PERILAKU MASYARAKAT DALAM MEMILIH MEREK HANDPHONE DENGAN MENGGUNAKAN ANALISIS FAKTOR (Studi Kasus Mahasiswa Universitas Udayana) SANG AYU PUTRI INDRIA RANTASARI; NI LUH PUTU SUCIPTAWATI; NI KETUT TARI TASTRAWATI
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p101

Abstract

The purpose of this study is to determine factors that influence consumer’s decisions to choose a brand of mobile phone and to determine the dominant factor influencing consumer’s decision in choosing brand of mobile phone. The method used is factor analysis. Factor analysis is one part of the analysis of several variables that are used to reduce the data, which is a process to summarize a number of independent variables associated with the factors named mapped or grouped into a new variable. The results showed that there are seven factors that influence consumers to choose the brand of mobile phone: the quality factor, brand, features, product durability, shape or model, price, and warranty. While among the seven factors, the quality factor is a dominant factors that affect consumers to choose brand of mobile phone.
PEMODELAN REGRESI SPLINE (Studi Kasus: Herpindo Jaya Cabang Ngaliyan) I MADE BUDIANTARA PUTRA; I GUSTI AYU MADE SRINADI; I WAYAN SUMARJAYA
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p097

Abstract

Regression analysis is a method of data analysis to describe the relationship between response variables and predictor variables. There are two approaches to estimating the regression function. They are parametric and nonparametric approaches. The parametric approach is used when the relationship between the predictor variables and the response variables are known or the shape of the regression curve is known. Meanwhile, the nonparametric approach is used when the form of the relationship between the response and predictor variables is unknown or no information about the form of the regression function. The aim of this study are to determine the best spline nonparametric regression model on data of quality of the product, price, and advertising on purchasing decisions of Yamaha motorcycle with optimal knots point and to compare it with the multiple regression linear based on the coefficient of determination (R2) and mean square error (MSE). Optimal knot points are defined by two point knots. The result of this analysis is that for this data multiple regression linear is better than the spline regression one.
PENERAPAN MODEL EGARCH PADA ESTIMASI VOLATILITAS HARGA MINYAK KELAPA SAWIT YOSEVA AGUNG PRIHANDINI; KOMANG DHARMAWAN; KARTIKA SARI
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p102

Abstract

Good news and bad news (commonly known as the asymmetric effect) on the price of palm oil, has been the grounds of palm oil price volatility. Estimation of volatility needs to be conducted for the purposes of advance financial analysis namely computation of the risk factors, portfolio, futures, etc. In addition, the data of palm oil price is heterscedastical. The heteroscedasticity needs to be overcome in order to generate a sound estimation of volatility. One of the forecasting models for heteroscedastical data and that capable of explaining the good news and bad news over the commodity’s price is the Exponential Autoregressive Conditional Heterocedastic (EGARCH) model.The result of this research, the best of EGARCH models was EGARCH(1,1) with t-distribution. That base of AIC and SIC value.
ANALISIS KOINTEGRASI JUMLAH WISATAWAN, INFLASI, DAN NILAI TUKAR TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) PROVINSI BALI MADE ARISTIAWAN JIWA ATMAJA; I PUTU EKA N. KENCANA; G. K. GANDHIADI
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p093

Abstract

This paper aimed to determine long-run equilibrium the tourist arrivals, inflation, exchange rate and gross domestic regional product (GDRP) of Bali Province used Johansen’s cointegration test. First examined whether each stationary variables using augmented dickey fuller (ADF) test. ADF test showed GDRP of Bali, tourist arrivals, and exchange rate are not stationary, so it is assumed stationary in first lag or I(1). While inflation is stationary in level or I(0). Johansen’s cointegration test showed the tourist arrivals, inflation, exchange rate and GDRP of Bali are not cointegrated. Notice that there is no long-run equilibrium, it can not be concluded for structural equation models.
IMPLEMENTASI METODE BOOTSTRAP DALAM INFERENSI TITIK-TITIK BIPLOT AMMI MODEL AMMI CAMPURAN (MIXED AMMI) (Studi Kasus: Menduga Stabilitas Genotipe Padi) NI PUTU AYU DINITA TRISNAYANTI; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p098

Abstract

In this research bootstrap methods are used to determine the points inference of biplot figures on the analysis of AMMI. If the environmental factors are assumed to be random factors, then Mixed AMMI is used as a model of analysis.  In the analysis of the stabilit, the main components score interaction used are KUI1 and KUI2. The purpose of this study is to determine the Biplot figures based on two scores these are KUI with the greatest diversity of Mixed AMMI models and the points inference by using the bootstrap method. The stable genotypes obtained from biplot AMMI2 are G1, G5, and G6. Based on points inference of each genotype, G1 and G5 can be regarded as the most stable genotype. This is because the distribution of G1 and G5 are the closest to the center point (0,0) and both of them have  a small radius.
PERAMALAN JUMLAH WISATAWAN AUSTRALIA YANG BERKUNJUNG KE BALI MENGGUNAKAN MULTIVARIAT FUZZY TIME SERIES I MADE CANDRA SATRIA; I KOMANG GDE SUKARSA; KETUT JAYANEGARA
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p094

Abstract

The aim of this paper is to forecast the numbers of Australian tourist to Bali using multivariate fuzzy time series method (MFTS). MFTS method is development from fuzzy time series (FTS). The defferent betwen FTS and MFTS method is showed by factor in used. In FTS method using one factor, but in MFTS method using more than one factor. In this peper there was three factor used in this research, it was number of Australian tourist, Indonesian Inflation, and change rate of AUD to IDR. At the beginning, the speed of each factor was calculated. For each factor given weight, 0,999 for numbers of Australian tourist, -0,90 for Indonesian inflation, and 0,21 for change rate of AUD to IDR. The result showed that Australian tourist at July 2014 would visit Bali as much 91.056 tourist, with average error rate 6.87%.
IMPLEMENTASI METODE MARKOV CHAIN MONTE CARLO DALAM PENENTUAN HARGA KONTRAK BERJANGKA KOMODITAS PUTU AMANDA SETIAWANI; KOMANG DHARMAWAN; I WAYAN SUMARJAYA
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p099

Abstract

The aim of the research is to implement Markov Chain Monte Carlo (MCMC) simulation method to price the futures contract of cocoa commodities. The result shows that MCMC is more flexible than Standard Monte Carlo (SMC) simulation method because MCMC method uses hit-and-run sampler algorithm to generate proposal movements that are subsequently accepted or rejected with a probability that depends on the distribution of the target that we want to be achieved. This research shows that MCMC method is suitable to be used to simulate the model of cocoa commodity price movement. The result of this research is a simulation of future contract prices for the next three months and future contract prices that must be paid at the time the contract expires. Pricing future contract by using MCMC method will produce the cheaper contract price if it compares to Standard Monte Carlo simulation.
ANALISIS KEPUASAN KONSUMEN RESTORAN CEPAT SAJI MENGGUNAKAN METODE PARTIAL LEAST SQUARE (Studi Kasus: Burger King Bali) MADE SANJIWANI; KETUT JAYANEGARA; I PUTU EKA N. KENCANA
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p095

Abstract

The were two aims of this research. First is to get model of the relation between the latent variable quality of service and product quality to customer satisfaction. The second was to determine the influence of service quality on customer satisfaction and the influence of product quality on consumer satisfaction at Burger King Bali. This research implemented Partial Least Square method with 3 second order variables is the service quality, product quality, and customer satisfaction. In this research also used 5 first order variables to explain the variable service quality are tangibles, empathy, reliability, responsiveness, assurance and 6 first order variables to explain the variable quality product are performance, reliability, feature, durability, conformance, and design. Samples used in this research is 100. The results of this research indentify that the service quality and product quality affect customer satisfaction at Burger King.
MENENTUKAN PORTOFOLIO OPTIMAL PADA PASAR SAHAM YANG BERGERAK DENGAN MODEL GERAK BROWN GEOMETRI MULTIDIMENSI RISKA YUNITA; KOMANG DHARMAWAN; LUH PUTU IDA HARINI
E-Jurnal Matematika Vol 4 No 3 (2015)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2015.v04.i03.p100

Abstract

Model of stock price movements that follow stochastic process can be formulated in Stochastic Diferential Equation (SDE). The exact solution of SDE model is called Geometric Brownian Motion (GBM) model. Determination the optimal portfolio of three asset that follows Multidimensional GBM model is to be carried out in this research.Multidimensional GBM model represents stock price in the future is affected by three parameter, there are expectation of stock return, risk stock, and correlation between stock return. Therefore, theory of portfolio Markowitz is used on formation of optimal portfolio. Portfolio Markowitz formulates three of same parameter that is calculated on Multidimensional GBM model. The result of this research are optimal portfolio reaches with the proportion of fund are 39,38% for stock BBCA, 59,82% for stock ICBP, and 0,80% for stock INTP. This proportion of fund represents value of parameters that is calculated on modelling stock price.

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