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All Journal Cakrawala Pendidikan Jurnal Studi Jender SRIKANDI Jurnal Matematika PIRAMIDA Buletin Udayana Mengabdi E-Jurnal Matematika Udayana Journal of Social Sciences and Humanities (UJoSSH) Innovative: Journal Of Social Science Research Public Service And Governance Journal
Desak Putu Eka Nilakusmawati
Mathematics Department, Faculty Of Mathematics And Natural Sciences, Udayana University
Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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PENGELOMPOKAN BERBAGAI MERK MI INSTAN BERDASARKAN KEMIRIPAN KANDUNGAN GIZI DENGAN MENGGUNAKAN ANALISIS BIPLOT AGUSTINUS ANGELAUS ETE; NI LUH PUTU SUCIPTAWATI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 3 No 2 (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.i02.p066

Abstract

At this time, almost everyone once to consume instant noodles. The high interest of public on the instant noodles should be balanced with enough knowledge about the noodles and its nutritional content, either on it’s instant noodles which have similar nutrient content and nutrient content that become identifier of each this group of noodles. The method can be used to obtain information on several brands of instant noodles that have similar nutrient content and nutrient content type that become identifier of each group of instant noodles is biplot analysis. Biplot analysis can show mie and nutrient content types simultaneously in a two-dimension plot. So that from a plot shows noodles and nutritional content types simultaneously, so that obtain information about the instant noodle that have similar nutrient content and nutrient content types into identifier of each group of instant noodles. This study was used 33 brands of instant noodles as observed objects with the type of nutrient content were observed there were nine. This study aims to find out some instant noodles that have similar nutrient content and nutrient content type that become identifier of each group of instant noodles. From the biplot analysis, obtained six groups of instant noodles with different identifier variables.
PERUMUSAN PREMI BULANAN ASURANSI KESEHATAN INDIVIDU PERAWATAN RUMAH SAKIT (ANUITAS HIDUP PEMBAYARAN BULANAN) AGUSTINA PAULA THERESIA PUTRI LAHALLO; I NYOMAN WIDANA; DESAK PUTU EKA NILAKUSMAWATI
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.p057

Abstract

This study calculates non renewable monthly premiums and renewable monthly premiums for health insurance. Formulations used in this study were derived from the equations used by Wilandari (2007). The monthly premium calculation  uses a CSO mortality table and an interest rate of 6%. To illustrate the calculating of the premium it is assumed that a family consist of a father, a mother and a son, respectively with age 40, 36 and 9 years old. The results obtained were that the  total premium is paid amounted to Rp. 155.02,00 every month for 20 years. Benefit for the cost of room, doctor visits, and the cost of care respectively were Rp. 200.000,00 per day, Rp. 75.000,00 per day and Rp. 4.000.000,00 per periode. Average duration of treatment was 180 days. The renewable  monthly premium was paid in different amounts each year, with the range from Rp. 80.425,00 to Rp. 406.465,00. From this study, Although initially the renewable premium is cheaper than the non renewable premium, at the end it is more expensive than the non renewable premium. In this study it was obtained too that 12 times the monthly premium  is greater than 1 times the annual premium.
FAKTOR-FAKTOR YANG MENENTUKAN KEPUASAN PELANGGAN SEPEDA MOTOR MATIC HONDA DI KOTA DENPASAR NI KADEK LESTARI PUTRI; NI MADE ASIH; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 4 No 1 (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.i01.p080

Abstract

This study aimed to elaborate the dominant factor affecting consumer’s loyalties regarding Honda motor matic and to determine effective marketing strategy for this product.  This study conducted at Denpasar where 150 respondents randomly chosen as the data sources.  From factor analysis, we found emotional factor is the most dominant factor for consumer’s loyalties with eigen value as much as 3,365 and variance explained by this factor is 48,08 percent.  Meanwhile, to determine effective marketing strategy, we found the product’s quality dominated by its design; service quality dominated by service reliability, emotional factor dominated by the product’s esthetic, each of these has communalities as much as 56,38 percent; 72,33 percent, and 65,20 percent respectively.
PERBANDINGAN ANALISIS DISKRIMINAN DAN REGRESI LOGISTIK UNTUK MENGKLASIFIKASIKAN KELAYAKAN VISITASI PELAMAR BIDIKMISI NISA HIDAYATI; I KOMANG GDE SUKARSA; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 9 No 1 (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.i01.p273

Abstract

The purpose of this study is to compare discriminant analysis and logistic regression to classify the feasibility of the Bidikmisi applicant's visitation based on the classification accuracy. The results showed that the assumptions of homogeneity covariance matricies between the groups are unequal, The significant independent variable is the combined amount of parental income , parents income divided by the number of family dependents , and electricity bills , and then the results of the classification of validation data from the logistic regression analysis of 98,21% higher than the discriminant analysis of 94,64%.
PENERAPAN METODE NEWEY WEST DALAM MENGOREKSI STANDARD ERROR KETIKA TERJADI HETEROSKEDASTISITAS DAN AUTOKORELASI PADA ANALISIS REGRESI ZAKIAH NURLAILA; MADE SUSILAWATI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 6 No 1 (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.i01.p142

Abstract

Ordinary Least Squares (OLS) used to estimate the parameters in the regression analysis. If one of the assumptions is not fulfilled, the results of the OLS are no longer best, linear, and unbiased properties. The aim of this research was to find out the application of Newey West method to correct standard error when heteroscedasticity and autocorrelation occurred, and to compare the results of OLS with Newey West method on secondary and simulation data. OLS can still be used to estimate the regression parameter when heteroscedasticity and autocorrelation occurred. However, it will cause bias on standard error of parameter. A method which can correct the standard error of parameters to be unbiased parameter is Newey West method. The secondary data about Passenger Car Milage and data simulated contain heteroscedasticity and autocorrelation. The analysis showed that the Newey West method were known is able to correct standard error when heteroscedasticity and autocorrelation occurred on both of data. It was obtained that Newey west method with and changes the value of the bias standard error of OLS to be unbiased.
ANALISIS SENSITIVITAS HARGA OPSI MENGGUNAKAN METODE GREEK BLACK SCHOLES DEVI NANDITA. N; KOMANG DHARMAWAN; DESAK PUTU EKA NILAKUSMAWATI
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.p197

Abstract

Sensitivity analysis can be used to carry out hedging strategies. The sensitivity value measures how much the price change of the option influenced by some parameters. The aim of this study is to determine the sensitivity analysis of the buying price of European option by using the Greek method on Black Scholes Formula. From this study we get the values of delta, gamma, theta, vega, and rho. The values of deltas, gamma, vega, and rho are positive, which means that the value of the option is more sensitive than the corresponding parameter. The most sensitive value of gamma is obtained when the stock price approaches the strike price and approaches the expiry date. The value of theta obtained is negative and hence the most sensitive theta value is when the value is getting smaller. While, the most sensitive value of vega is obtained when the stock price is close to the strike price and is far from the expiry date. The most sensitive value of rho is obtained when the stock price gets bigger and farther from the expiry date.
PEMILIHAN KRITERIA DALAM PEMBUATAN KARTU KREDIT DENGAN MENGGUNAKAN METODE FUZZY AHP JOKO HADI APRIANTO; G. K. GANDHIADI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 3 No 1 (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.i01.p062

Abstract

The rise of credit card users, make banks compete to provide a wide range of offers to attract customers. This study aims to determine the priority criteria selected customers for establishment credit cards by using a fuzzy AHP method. Method fuzzy AHP is a combination of the AHP method and fuzzy method. Fuzzy AHP approach particularly triangular fuzzy number approach to the AHP scale should be able to minimize uncertainty for the results obtained are more accurate. The criteria used for this study is the interest rate , the promo/discount, limit, and annual dues. Based on the steps of calculation of data obtained fuzzy AHP respondents have value CR = 0.049, which means consistent because it meets the standards set CR < 0.10 and that became the order of priority are limit, promo/discount, interest rate, and  continued with weights of priorities are 0408, 0.28, 0.16, and 0.152.
PENENTUAN KEPUTUSAN INVESTASI SAHAM MENGGUNAKAN CAPITAL ASSET PRICING MODEL (CAPM) DENGAN PENAKSIR PARAMETER STOKASTIK ICHA WINDA DIAN SAFIRA; KOMANG DHARMAWAN; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 10 No 4 (2021)
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.2021.v10.i04.p351

Abstract

CAPM is a method of determining efficient or inefficient stocks based on the differences between individual returns and expected returns based on the CAPM’s positive value for efficient and negative value for inefficient stocks. The move to share prices in the process can influence investors's decisions in investing funds, so that it can be formulated in stochastic differential equations that form the Geometric Brownian Motion model (GBM). The purpose of the study is to determine return value using the CAPM based on share estimates and historical stock prices. The study uses secondary data that data a monthly closing of stock prices from December 2017 to December 2020. The GBG model's estimated stock price is used to determine the expected value return using the CAPM. In this case, it is called CAPM-Stochastic. Then the results of the CAPM-Stochastic was compared to the results of the CAPM-Historical to define efficient stocks and inefficient stocks. The results of research using CAPM-Stochastic obtained that HMSP, ICBP, KLBF, and WOOD shares are efficient stock while UNVR shares are inefficient. The results of CAPM-Historical obtained that HMSP, ICBP, KLBF, and UNVR shares are inefficient stocks and WOOD is an efficient stocks.
ANALISIS WAKTU KELULUSAN MAHASISWA FMIPA UNIVERSITAS UDAYANA DAN FAKTOR-FAKTOR YANG MEMENGARUHINYA I GUSTI AYU MADE SRINADI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 9 No 3 (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.i03.p300

Abstract

The graduate profile shows the competencies of the graduate. Not all students are able to complete their studies within the specified study period. Some students are threatened with dropping out (DO) because within the maximum time limit given, which is 7 years for undergraduate degrees, they are still unable to complete their studies. This condition has a negative impact on student graduation on time which negatively affects to the assessment of study program accreditation. To anticipate this condition, it is necessary to know what obstacles students made they are unable to complete their studies on time. The information obtained can be used as a guide in anticipating no more students exceeds study period. The purpose of this study was to determine the graduation of undergraduate students of FMIPA Udayana University and the factors that influence student graduation. The research sample was taken using purposive sampling technique of FMIPA, Udayana University graduation period January 2002 to January 2019. Data analysis used statistics descriptive and exploratory factor analysis. The graduation data of FMIPA undergraduate students, there was 2710 students, 2190 (81%) was able to complete studies no more than five years and 514 students (19%) more than five years. There is significant dependency between study period with gender and study program. There are two intellectual factors that influence student graduation not on time, namely the knowledge and skills factor with an explainable diversity of 63.2%.
PERAMALAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) PROVINSI BALI DENGAN MENGGUNAKAN METODE FUZZY TIME SERIES I GUSTI NGURAH ARYA WANAYASA; I PUTU EKA NILA KENCANA; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Volume 1, No 1, Tahun 2012
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.2012.v01.i01.p003

Abstract

The purpose of this research is forecasting the growth of the GDRP in Bali Province on 2011. The fuzzy time series method and Holt-Winter’s exponential smoothing method used to forecast the GDRP in Bali Province on 2011 by using the data of Bali Province’s GDRP constant prices of year 2000 from first quarter of 1991 until fourth quarter of 2010. Then, the forecasting result of both methods compared by see the AFER and MSE value on each method. The comparison result shows the forecasting method by using Holt-Winter’s exponential smoothing is 7.13% while using the fuzzy time series method is 0.64%, these shows the forecasting using fuzzy time series method have a higher accuracy rate compared to Holt-Winter’s exponential smoothing method with the difference of forecasting error rateis6.49%.
Co-Authors A.A DWI MARSITA ANGGRAENI Adi Ningtias, D. Novia AGUSTINA PAULA THERESIA PUTRI LAHALLO AGUSTINUS ANGELAUS ETE Andini Ni Kadek DAIMATUL KHOIRIYAH Desak Made Kutha Adhya Wagiiswari DEVI NANDITA. N DEWA AYU AGUNG PUTRI RATNASARI EKA ARISTA ANJASARI EKA VIRGIA PURWANTI ELVINA LIADI G. K. GANDHIADI G.K. GANDHIADI Gde Nitiyasa I Gede Arsana Wijaya I GEDE BAGUS PASEK SUBADRA I GEDE GANDEVA UMBARA I Gusti Ayu Agung Citra Santika Dewi I Gusti Ayu Made Srinadi I GUSTI NGURAH ARYA WANAYASA I KOMANG GDE SUKARSA I NYOMAN BRYAN ANDIKA I Nyoman Widana I Putu Eka Nila Kencana I PUTU OKA PARAMARTHA I Wayan Sumarjaya ICHA WINDA DIAN SAFIRA Ida Ayu Agung Diah Janawati Indah Wulantari, A.A. Istri INTAN LESTARI Ita Wulandari, Ni Gusti Ayu IYOS ALFRANTA SURBAKTI JOKO HADI APRIANTO K. Sari KADEK ANDREI PRABAWA Komang Dharmawan L. G. Astuti LIA JENITA LUH PUTU IDA HARINI LUH PUTU SAFITRI PRATIWI LUSIA EMITRIANA MAGOL M Susilawati Made Susilawati Merylin Rafael Sitohang MUHAMAD RIFAI NI KADEK LESTARI PUTRI Ni Ketut Tari Tastrawati NI LUH PUTU RATNA DEWI Ni Luh Putu Suciptawati Ni Made Asih Ni Made Puspawati NI PUTU SRI YULI ARTINI NISA HIDAYATI PUTRI DAMEYANTI RAIN FERNANDO BANGUN SARIFUL MUNAWAROH SITTI HAJAR TJOKORDA GDE AGUNG FRISKA ADNYANA ZAKIAH NURLAILA