Desak Putu Eka Nilakusmawati
Mathematics Department, Faculty Of Mathematics And Natural Sciences, Udayana University

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MENENTUKAN FORMULA PREMI TAHUNAN TIDAK KONSTAN PADA ASURANSI JOINT LIFE I GEDE BAGUS PASEK SUBADRA; I NYOMAN WIDANA; DESAK PUTU EKA NILAKUSMAWATI
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.p104

Abstract

The aim of this research was to determine the annual premium formula that turns on the joint life insurance. This formula uses the reference insurance contracts of the previous research Insurance Models for Joint Life and Last Survivor Benefits. The first step is to determine the value of mortality tables by using the Table Helligman-pollard. Furthermore, determining the value of a life annuity and single premium. The results of this research was formula to be affected by the changing premium () with the increase and decrease in constant interest.
PENENTUAN NILAI PREMI ASURANSI PERTANIAN BERBASIS INDEKS SUHU PERMUKAAN MENGGUNAKAN METODE BURN ANALYSIS A.A DWI MARSITA ANGGRAENI; KOMANG DHARMAWAN; DESAK PUTU EKA NILAKUSMAWATI
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.p221

Abstract

Temperature is an important factor in the production of agricultural commodities. For this reason, goverments needs to protect farmers in order to continue their farming. Climate-based agricultural insurance is an alternative to climate-related risk management. Insurance premium is given when the temperature index lower than the pre determined trigger index. The purpose of this study is to determine the stages and assumptions in determining the value of agricultural insurance premiums based on surface temperature index on cocoa commodities using the method of burn analysis. The temperature index was determined using the burn analysis method with the temperature as the climate parameter. Trigger values ??are determined based on long run times. In this paper, the result is that when the temperature index lower than the determined trigger value, trigger payments as much as Rp.10.931.960,40 / Ha based on trigger index as many 26.145 ° C, so amount of premium payment equals Rp 215.776.
FAKTOR–FAKTOR YANG MEMENGARUHI MINAT MAHASISWA ASAL LUAR BALI KULIAH DI FMIPA UNIVERSITAS UDAYANA BALI DAIMATUL KHOIRIYAH; MADE SUSILAWATI; DESAK PUTU EKA NILAKUSMAWATI
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.p024

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui faktor–faktor yang memengaruhi minat mahasiswa luar Bali kuliah di FMIPA Universitas Udayana Bali. Analisis yang digunakan  dalam  penelitian  ini  adalah  analisis  faktor.  Data  yang digunakan  adalah data primer yang diperoleh dengan menyebarkan kuesioner kepada setiap mahasiswa asal luar Bali yang kuliah di FMIPA Universitas Udayana Bali angkatan 2008-2011. Dalam penelitian ini faktor-faktor  yang digunakan  adalah  lokasi,  faktor  biaya,  produk,  latar  belakang sosial ekonomi,  motivasi,  fasilitas,  referensi,  promosi,  dan  reputasi.  Hasil  penelitian menunjukkan  bahwa,  terdapat  delapan  faktor  yang memengaruhi  minat  mahasiswa luar Bali kuliah di FMIPA Universitas Udayana Bali. Faktor tersebut yaitu: (1) faktor produk yang merupakan faktor dengan nilai eigen paling tinggi yaitu 7,792 dan varian 28,860%, (2) faktor referensi dengan varian 8,732%, (3) faktor reputasi dengan varian 7,808%,  (4)  faktor  biaya  dengan  varian  6,723%, (5) faktor  latar  belakang sosial ekonomi dengan varian 4,921%, (6) faktor motivasi dengan varian 4,430%, (7) faktor lokasi dengan  varian 3,836% dan (8)  faktor promosi  dengan  varian  3,708%, dengan total varian yang dapat dijelaskan adalah sebesar 69,018%.
PENENTUAN HARGA KONTRAK OPSI TIPE ASIA MENGGUNAKAN MODEL SIMULASI NORMAL INVERSE GAUSSIAN (NIG) I PUTU OKA PARAMARTHA; KOMANG DHARMAWAN; DESAK PUTU EKA NILAKUSMAWATI
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.p074

Abstract

The aim to determine of the simulation results and to calculate the stock price of Asian Option with Normal Inverse Gaussian (NIG) method and Monte Carlo method using MATLAB program. Results of both models are compared and selected a fair price. Besides to determine simulation accuracy of the stock price, speed of program execution MATLAB is calculated for both models for time efficiency. The first part, set variabels used to calculate the trajectory of stock prices at time t to simulate the stock price at the time. The second part, simulate the stock price with NIG model. The third part, simulate the stock price with Monte Carlo model. After simulating the stock price, calculated the value of the pay-off of the Asian Option, and then estimate the price of Asian Option by averaging the entire value of pay-off from each iteration. The last part, compare result of both models. The results of this research is price of Asian Option calculated using Monte Carlo simulation and NIG. The rates were calculated using the NIG produce a fair price, because of the pricing contract NIG using four parameters ?, ?, ?, and ?, while Monte Carlo is using only two parameters ? and ?. For execution time of the program, the Monte Carlo model is better in all iterations.
Comparative Characteristics of Informal Sector Workers in Kuta Beach Versus Sanur Beach DPE Nilakusmawati; M Susilawati
Udayana Journal of Social Sciences and Humanities Vol 2 No 1 (2018): UJoSSH, Feburary 2018
Publisher : Research and Community Services Institutes of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.643 KB) | DOI: 10.24843/UJoSSH.2018.v02.i01.p02

Abstract

This study aims to compare the socio-economic characteristics of informal sector workers who run their business in the location of Kuta Beach, Badung-Bali versus Sanur Beach, Denpasar-Bali. Data were obtained from primary sources using questionnaires and sampling was done by purposive sampling. Informal sector workers who are respondents include street vendors, hawkers, masseuseers, photo artisans, souvenir vendors, and other personal services such as canoe rental, umbrellas rental, and others. The variable characteristics of the respondents were 15 variables of socioeconomics. Descriptive analysis is used to obtain an overview of socioeconomic characteristics of informal sector workers in the two sites studied. The result showed the average age of informal sector workers in Kuta beach is 50 years and Sanur 44 years. Working hours per day are not much different between two sites. The average income of respondents in Kuta Beach is lower than the average income of workers in Sanur. Workers in Kuta beach have been running relatively longer businesses compared to workers in Sanur beach. The relatively similar characteristics of workers between the two sites are sexes dominated by female workers, with marital status, mostly migrants with a length of stay of more than 5 years, with the status of homes occupied mostly by rent. Most workers in both sites are workers with self-employment status with workers of unpaid families. The findings of the study indicate a difference in the educational level of workers for the two comparable sites. There are also differences in the nature of merchandise services.
APAKAH MUTU LAYANAN AKADEMIK MEMENGARUHI KEPUASAN MAHASISWA FMIPA UNUD BELAJAR DI MASA PANDEMI MUHAMAD RIFAI; I PUTU EKA NILA KENCANA; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 11 No 2 (2022)
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.2022.v11.i02.p373

Abstract

Colleges as service providers must provide satisfaction to their students. At the concept of service, students as a group of consumers should get optimum service. The aim of this research is to determine the effect of the quality of academic services on student satisfaction at the Faculty of Mathematics and Natural Sciences, Udayana University during the Covid-19 pandemic. The analysis technique uses Partial Least Square Structural Equation Modeling (PLS-SEM). The results show that the dimensions of tangibles and empathy are proven to be significant, while dimensions of reliability, responsiveness, and assurance is not proven to significantly affect the quality of academic services. Increased the quality of academic services has proven to have a positive and significant effect on student satisfaction of FMIPA UNUD.
PENENTUAN NILAI PREMI ASURANSI PERTANIAN BERBASIS HARGA INTERNASIONAL MENGGUNAKAN MODEL MEAN REVERSION DENGAN MUSIMAN I NYOMAN BRYAN ANDIKA; KOMANG DHARMAWAN; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 12 No 1 (2023)
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.2023.v12.i01.p401

Abstract

The seasonal cycle causes cocoa price movements in the international market to fluctuate. This certainly affects the development of cocoa prices at the producer level, causing uncertainty about the prices received by farmers. International price-based agricultural insurance is an alternative to protect farmers against global price fluctuations. Compensation is given if the global price of cocoa falls below the agreed trigger value. This study aims to calculate the fair premium value for agricultural insurance based on international prices for cocoa in the Tabanan Regency, Bali, which was simulated using a mean reversion model with seasonality. To perform the simulation, the first step is to estimate the parameters of the seasonal model and the mean reversion model. Next, simulate the international price of cocoa. Then, determine the trigger value based on the percentile of the simulation data. Finally, calculate the premium value using the cash-or-nothing put option with the Black-Scholes model. The results show that the premium value which is considered fair lies between 5,77% to 11,08% of the insured value.
FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU MEROKOK PADA REMAJA USIA 15-19 TAHUN DI KUTA SELATAN IYOS ALFRANTA SURBAKTI; MADE SUSILAWATI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 12 No 4 (2023)
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.2023.v12.i04.p432

Abstract

Adolescence is a period of change in emotional, physical, interests and behavior patterns. Teenagers begin to leave childish attitudes and behavior and begin to show the ability to behave maturely. This smoking behavior can cause various negative impacts on adolescents both in terms of health, economics, social and psychological. This study aims to analysis what factors cause adolescents to smoke. The method used in this research is exploratory factor analysis. Based on the results of factor analysis, four factors were obtained that influenced smoking behavior among adolescents in South Kuta, namely psychological factors, advertising factors, knowledge factors, and family environment factors. These four factors are able to explain the factors that influence smoking behavior in adolescents in South Kuta by 64.667%.
PENERAPAN METODE SUPPORT VECTOR REGRESSION (SVR) DENGAN ALGORITMA GRID SEARCH DALAM PERAMALAN HARGA SAHAM NI PUTU SRI YULI ARTINI; I WAYAN SUMARJAYA; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 13 No 2 (2024)
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.2024.v13.i02.p447

Abstract

Stocks are the investment that is much in demand by investors because they are able to provide a high level of profit with a certain risk. Therefore, stock price forecasting is very important to maximize investment returns. The purpose of this study was to forecast stock prices using the support vector regression (SVR) method by utilizing linear, RBF, sigmoid, and polynomial kernel functions. Parameter optimization is carried out using a grid search algorithm that applies the concept of cross validation. After training and testing the model, the best SVR model is obtained using a polynomial kernel with parameters , , and , which produces an accuracy of 0,99211, RMSE of 0,01027, and MAE of 0,00723 on the training data and produces an accuracy value of 0,99389, RMSE of 0,01988, MAE of 0,01323, and MAPE of 0,02709 on data testing. Forecasting results for the next 85 periods using the best SVR model have a MAPE of 6,45%, this means that the SVR model obtained is able to predict closing stock prices much better than the ARIMA model which has a MAPE of 20,68%.
ANALISIS VARIABEL INDEKS PEMBANGUNAN MANUSIA MENGGUNAKAN ANALISIS REGRESI LINIER BERGANDA DI PROVINSI JAWA TIMUR SARIFUL MUNAWAROH; G.K. GANDHIADI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 12 No 4 (2023)
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.2023.v12.i04.p431

Abstract

According to the Central Statistics Agency, HDI is formed by three basic dimensions, namely life expectancy, knowledge, decent living standards. So researchers are interested in analyzing the influence of these 3 basic dimensions on HDI using multiple linear regression analysis. By determining the independent variables and dependent variables, human development index data in East Java in 2021. Then determining the estimated value of the multiple regression model. Next, carry out testing, starting with a simultaneous test. After that, a partial test (t test) was carried out. Then the classical assumption test is carried out, which is a statistical requirement that must be met in multiple linear regression analysis. In multiple regression analysis, classic assumption tests are carried out, including the normality test, multicollinearity test and heteroscedasticity test. Then look at the coefficient of determination value to find out how far the model is able to explain variations in the dependent variable. The final step in this research is to interpret the model with multiple linear regression, namely to see and explain the results of the best model analysis and find out the independent variable that has the most significant influence on the dependent variable. Research data analysis was carried out using SPSS software. The multiple linear regression model formed in the analysis of the human development index in East Java obtained a contribution value from the independent variable and the dependent variable of 99.7%.