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INDONESIA
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 442 Documents
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HUBUNGAN PENGARUH PENOLONG KELAHIRAN TERHADAP STATUS KELAHIRAN BAYI DENGAN KONTROL VARIABEL CONFOUNDING DI KABUPATEN BULELENG (STUDI KASUS: PUSKESMAS SUKASADA II) KADEK NOVIA DWIJAYANTHI; I GUSTI AYU MADE SRINADI; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 2 No 4 (2013)
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.2013.v02.i04.p055

Abstract

One indicator of the Human Development Index (HDI) is the Infant Mortality Rate (IMR). IMR is lower HDI showed a better area when compared with other regions for different values ??of the same indicators. This study aims to determine the relationship between the birth attendants birth status and confounding variables that affect the status of births in Buleleng regency, with Sukasada II health center located in District Sukasada - Buleleng regency as the location of the observed cases of infant mortality. Results of analysis using logistic regression showed that (1) birth attendants, (2) maternal age, and (3) income household heads have a real influence on the status of the baby's birth. Birth status with medical birth attendants have the opportunity to live 2,427 times compared with non-medical birth attendants with controlled variables maternal age and income of the family head.
PENDEKATAN REGRESI NONPARAMETRIK DENGAN MENGGUNAKAN ESTIMATOR KERNEL PADA DATA KURS RUPIAH TERHADAP DOLAR AMERIKA SERIKAT DEWA AYU DWI ASTUTI; I GUSTI AYU MADE SRINADI; MADE SUSILAWATI
E-Jurnal Matematika Vol 7 No 4 (2018)
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.2018.v07.i04.p218

Abstract

Nonparametric regression can be applied for some data types one of them is time series data. The technique of this method is called smoothing technique. There are several smoothing techniques however this study used kernel estimator with seven kernel functions in data of rupiah exchange rate to US dollar. The analysis with R shows that by using minimum Generalized Cross Validation (GCV) criteria, seven functions produce various optimal bandwidth value but has similar curves estimation. The conclusion is that by using kernel estimator in time series data support that choosing the optimal bandwidth is more important than choosing the kernel functions.
PENERAPAN METODE FUZZY SUGENO UNTUK MENENTUKAN HARGA JUAL SEPEDA MOTOR BEKAS AMI HILDA AGUSTIN; G. K. GANDHIADI; TJOKORDA BAGUS OKA
E-Jurnal Matematika Vol 5 No 4 (2016)
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.2016.v05.i04.p138

Abstract

Fuzzy logic is a way to map an input space into an output space. The basic of fuzzy logic is fuzzy set theory. In the fuzzy set theory, the role of membership degree is important to determine the presence of elements in a set. Membership degree is the fundamental feature of reasoning in fuzzy logic. There are several methods that are often used in solving fuzzy inference system, one of them is fuzzy Sugeno method. The aim of this research is applications of fuzzy methods is to forecast to determine the selling price of used motorcycles. In determining the selling price of used motorcycles, there are several things that need to be considered, namely : the production year of the motorcycles, the physical condition of the motorcycles, the origin of the license plates, and the purchase price of the motorcycles. The calculation can be done by using Matlab program. The result obtained were then tested using the Mean Absolute Percentage Error (MAPE) by calculating difference between the selling price of dealer minus the selling price of fuzzy Sugeno then divided by the selling price of dealer. From the test result, MAPE value obtained was 5,64% . This indicates that error rate below 10%, so we can say the result of these calculation is considerably accurate.
EFFECT OF NON-UNIFORM HEAT SOURCE AND RADIATION ON UNSTEADY MHD FREE CONVECTION FLOW PAST AN INFINITE HEATED VERTICAL PLATE IN POROUS MEDIUM PRATIBHA MISHRA; SWETA TRIPATHI
E-Jurnal Matematika Vol 9 No 4 (2020)
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.2020.v09.i04.p302

Abstract

Influence of radiation and non-uniform heat source on unsteady, magneto-hydrodynamic free convection flow of viscous incompressible fluid past an infinite vertical heated plate embedded in porous medium of an optically thin environment with time dependent suction and viscous dissipation is investigated in this paper. Analytical solutions of the coupled non-linear equations are obtained for the velocity field and temperature distribution using oscillating time-dependent perturbation technique. Expressions for skin-friction and heat transfer rate are also derived. The effects of the material parameters on velocity, temperature, skin-friction, and rate of heat transfer are discussed quantitatively.
PENENTUAN KEUNTUNGAN MAKSIMUM PADA PENJUALAN OLAHAN TAPE DENGAN MENGGUNAKAN METODE LAGRANGE (Studi Kasus: UD. Sari Madu) FEMY AYU ASTITI; NI MADE ASIH; I NYOMAN WIDANA
E-Jurnal Matematika Vol 2 No 1 (2013): E-Jurnal Matematika
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.2013.v02.i01.p023

Abstract

Optimization problems can be solved by various methods, such as Lagrange Method.   This  method can be used to find the solution. Using Lagrange method, the extreme value can be obtained, so that the optimal solution can be found. In this research, the maximum revenue of UD. Sari Madu is a limited by several constraints. After the objective function and constraint function being model, than maximum revenue is found. From first until fourth quarterly, the maximum revenue is found Rp. 9.701.333, Rp. 10.064.148, 9.793.272 and Rp. 9.397.730 respectively.
CADANGAN PREMI ASURANSI JOINT-LIFE DENGAN SUKU BUNGA TETAP DAN BERUBAH SECARA STOKASTIK NI KOMANG SUKANASIH; I NYOMAN WIDANA; KETUT JAYANEGARA
E-Jurnal Matematika Vol 7 No 2 (2018)
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.2018.v07.i02.p188

Abstract

Joint life is an insurance that covered two or more individuals in one policy. This research aims to determine the value and comparison of fixed deposit rate premium and stochastic rate with Vasicek model. It used prospective calculation method. The mortality table in the research used TMI-2011, for participant were couple age 40 and 35 years old with 10 year premium payment. Under this condition the value of constant rate premium and Vasicek rate premium is and . Besed of this research showed the value of the Vasicek rate premium is smaller than constant rate premium.
OPTIMALISASI PENJUALAN KAIN ENDEK DENGAN METODE KARUSH-KUHN-TUCKER (KKT) I GEDE ARIS JANOVA PUTRA; NI MADE ASIH; I NYOMAN WIDANA
E-Jurnal Matematika Vol 4 No 4 (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.i04.p105

Abstract

This study is conducted to determine the optimal sales value of endek mastuli, endek rangrang, endek saraswati, endek gradasi, and endek alam in Novala Busana Shop and Trans Collection Shop in order to reache maximum advantage by using Karush-Kuhn-Tucker (KKT) method. Karush-Khun-Tucker method can be used to find the optimum solution of the function regardless of whether linear or nonlinear. In the workmanship is KKT method essentially involves the same steps as Lagrange method, from a Lagrangean to be able to calculate the critical points, finding all solutions , and calculate of the value . In this study, most of quarterly show that which must be sold are kind of endek mastuli in reaching the maximum benefit. For other kinds of endek is constantly provided but it is not as much as before. Suggested to the next research could involve more variated variable with more interesting cases
PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA KE BALI MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS MIRA AYU NOVITA SARI; I WAYAN SUMARJAYA; MADE SUSILAWATI
E-Jurnal Matematika Vol 8 No 4 (2019)
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.2019.v08.i04.p269

Abstract

Singular spectrum analysis (SSA) is a method to decompose the original time series into a summation of a small number of components that can be interpreted as varied trends, oscillatory, and noise components. The purpose of this research is to model and to find out the results of forecasting the number of foreign tourists arrival to Bali using SSA method. In this research, the accuracy of forecasting results will be calculated using the SSA model with reccurent singular spectrum analysis (RSSA) method. The best SSA model was obtained with a window length (L=94) and produces MAPE value of 7,65%.
KOMPARASI KINERJA FUZZY TIME SERIES DENGAN MODEL RANTAI MARKOV DALAM MERAMALKAN PRODUK DOMESTIK REGIONAL BRUTO BALI I MADE ARYA ANTARA; I PUTU EKA N. KENCANA; I KOMANG GDE SUKARSA
E-Jurnal Matematika Vol 3 No 3 (2014)
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.2014.v03.i03.p073

Abstract

This paper aimed to elaborates and compares the performance of Fuzzy Time Series (FTS) model with Markov Chain (MC) model in forecasting the Gross Regional Domestic Product (GDRP) of Bali Province.  Both methods were considered as forecasting methods in soft modeling domain.  The data used was quarterly data of Bali’s GDRP for year 1992 through 2013 from Indonesian Bureau of Statistic at Denpasar Office.  Inspite of using the original data, rate of change from two consecutive quarters was used to model. From the in-sample forecasting conducted, we got the Average Forecas­ting Error Rate (AFER) for FTS dan MC models as much as 0,78 percent and 2,74 percent, respec­tively.  Based-on these findings, FTS outperformed MC in in-sample forecasting for GDRP of Bali’s data.
IMPLEMENTASI ANALISIS FAKTOR DALAM MENGANALISIS KEPUASAN NASABAH TERHADAP KUALITAS LAYANAN (STUDI KASUS: LPD SIDAKARYA) I PUTU ARISTA YASA; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
E-Jurnal Matematika Vol 6 No 2 (2017)
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.2017.v06.i02.p160

Abstract

The aim of this study was to be able to determine some factors that affected customer satisfaction on the quality of the services provided by LPD Sidakarya. Samples of this study were 150 respondents. The respondents were customers of LPD Sidakarya who have been registered since at least a year ago. There were two variables in this study; i.e. perception and expectation variables in which each of the variable had 30 indicators that affected the satisfaction of the customer on service quality. In addition, this study also determined five factors that affected customer satisfaction on the service quality. The method used was confirmatory factor analysis. It was found on the results of this study that the formed factor of these 30 indicators that affected the satisfaction of the customer on service quality indeed five main factors consisted of tangibles, reliability, responsiveness, assurance and empathy. The most dominant factor obtained was reliability.

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