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I Putu Eka Nila Kencana
Mathematics Study Program, Faculty Of Mathematics And Natural Sciences, Udayana University
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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ANALISIS JALUR FAKTOR-FAKTOR YANG MEMENGARUHI RISIKO TERKENA PENYAKIT DIABETES MELITUS DOMINGGAS TEO; I KOMANG GDE SUKARSA; I GUSTI AYU MADE SRINADI; I PUTU EKA NILA KENCANA
E-Jurnal Matematika Vol 11 No 1 (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.i01.p359

Abstract

Diabetes mellitus is a non-contagious disease that causes the increas of death rates in Indonesia. This study aims to determine the causality between Age, Occupation, Cholesterol effects of Age, Occupation, Cholesterol Levels, and Blood Pressure Risk of Diabetes Mellitus (DM). The population in this study were all patients at the Beru Public Health Center, with a sample of 200 patients. The analytical method used in this research is Path Analysis with the help of directly or indirectly. The results showed that age and blood pressure had a direct positive effect on cholesterol levels and blood pressure, and age, cholesterol levels and blood pressure also directly affected the risk of developing DM. Age and occupation also affect the risk of developing DM indirectly.
EFEKTIVITAS BANTUAN UNTUK KORBAN BENCANA GEMPA BUMI LOMBOK SRI DIANTINI; I PUTU EKA N. KENCANA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 8 No 2 (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.i02.p246

Abstract

On August 2018, an earthquake occurred in North Lombok, West Nusa Tenggara which can be felt from a neighbor region such as West Lombok, Karangasem, and many others. The earthquake caused many casualties and material made many people feel sympathy for the victims of the earthquake. Therefore, many aids and donations came to the affected areas. However, the arrival of aids didn't result in similar perception among victims. The aim of this research is to analyze aid effectiveness of earthquake disaster victims in Lombok, West Nusa Tenggara. In addition, the expectation, realization, and response time of aids will be considered. This research implemented by using partial least square-structural equation modeling (PLS-SEM). This research uses six-first order latent variable, three-second order and one-third order latent variable were built by hierarchical construct model. Data were collected by using questionnaires with 5 likert scale on December 2018 that were distributed directly to 180 victims of earthquake disaster with purposive sampling method. The results show the expectation, realization, and response time regarding the aids for the victims was significant in affecting aid effectiveness and aids of earthquake disaster victims was effective.
PENENTUAN CADANGAN PREMI UNTUK ASURANSI PENDIDIKAN MADE PUTRI ARIASIH; KETUT JAYANEGARA; I NYOMAN WIDANA; I PUTU EKA N. KENCANA
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.p082

Abstract

This aims of this research is determine the insurance premium reserve for education with retrospective calculations and determine the premium reserves who acquired during the period of guarantee for insurance education. This research  observes the premium reserve for persons aged 40 years with a coverage period of 17 years. The secondary data used is an education insurance data product  from the insurance company that issued the insurance product. Premium reserve is determined by using the retrospective calculation, the calculation using the annuity value, net single premium value, net annual premiums, the value of net monthly premium, CSO 1980 mortality and fixed interest rate at 9%. Retrospective calculations produce a faster value backup  and sequentially in each year. The results showed that the premium reserve with retrospective calculation should be close up to the cash price owned by insurance company and must be the same at the end of the insurance period is Rp 7.000.000,00.
APLIKASI ALGORITMA GENETIKA UNTUK MERAMALKAN KONSUMSI PREMIUM KOTA DENPASAR VICTOR MALLANG; KETUT JAYANEGARA; NI MADE ASIH; I PUTU EKA N. KENCANA
E-Jurnal Matematika Vol 3 No 4 (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.i04.p079

Abstract

This research aimed to forecast the gasoline demand at Denpasar using genetic algorithm method. This  algorithm was selected because of easy to implement and its ability to find acceptable solution quickly.  This algorithm works by searching the best individu according to fitness function defined. The series data used in the research were 60 observations of monthly gasoline demand at Denpasar for period January 2009 through December 2013.  By observing the Partial Autocorrelation Function (PACF) plot, we found the last lag before the series become stationer was sixth lag.  Based on this finding, we decided the best individu was represented by six genes. This individu, in addition, was used to make in-sample forecasting.  The forecasted data had mean absolute error (MAE) as much as 553,27 kiloliters.  For one semester out-of sample forecast, we found gasoline consumption fluctuated with lowest and highest consumption were for February 2014 and June 2014, respectively.
PENENTUAN LOKASI SMA NEGERI MENGGUNAKAN DIAGRAM VORONOI BERBOBOT DI KOTA DENPASAR MELINDA HERMANTO; TJOKORDA BAGUS OKA; I PUTU EKA NILA KENCANA
E-Jurnal Matematika Vol 2 No 2 (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.i02.p034

Abstract

In school development problem, determining location is one of important things to consider. In this research, the purpose is to determine the location of SMAN 9 Denpasar if it will be built. One of algorithms in computational geometry that can be used to find solution of facility location problem is multiplicatively weighted Voronoi diagram in two dimensions. The result of weighted Voronoi diagram shows the influence of each site to the surrounding area. Then, the location of SMAN 9 Denpasar is obtained by determining the center of the largest empty circle of the weighted Voronoi diagram.
ANALISIS SISTEM ANTRIAN PADA LOKET PEMBAYARAN PT. PLN (PERSERO) AREA BALI SELATAN RAYON KUTA NGURAH GDE PRABA MARTHA; KOMANG GDE SUKARSA; I PUTU EKA NILA KENCANA
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.p002

Abstract

The purpose of the analysis of queuing systems is to find out the model and the performance of queuing system was run. The research was conducted at PT. PLN (Persero) South Bali Area Rayon Kuta and the issue raised is about the analysis of queuing systems at the payment counter. Model queue is determined based on the Kendall notation and performance of queuing systems can be determined by calculating the utilization factor. At payment counter, the queuing model used is a model (M/G/4):(GD/?/?). The performance of queuing system at payment counter of PT. PLN (Persero) South Bali Area Rayon Kuta is less effective because each servers was busy on average only between 30% – 50% of working hours so that more time unemployed servers.
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.
PENERAPAN ALGORITMA GLOWWORM SWARM OPTIMIZATION PADA MODEL GEOGRAPHICALLY WEIGHTED REGRESSION DENGAN KERNEL ADAPTIF I GEDE HARDI KARMANA; LUH PUTU IDA HARINI; KETUT JAYANEGARA; I PUTU EKA NILA KENCANA
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.p282

Abstract

This study aimed to apply glowworm swarm optimization (GSO) algorithm as an alternate way to obtain optimal bandwidth in geographically weighted regression (GWR) model with adaptive kernel function. The result showed that GSO was able to obtain optimal bandwidth with lower cross validation (CV) value than the traditional way that was using k-nearest neighbor (KNN) algorithm. Unfortunately, the running time of GSO was far slower than KNN was.
PREDIKSI PENGGUNA BUS TRANS SARBAGITA DENGAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM SLAMET SAMSUL HIDAYAT; I PUTU EKA NILA KENCANA; KETUT JAYANEGARA
E-Jurnal Matematika Vol 2 No 3 (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.i03.p048

Abstract

Trans Sarbagita is a public transportation services people at Denpasar, Badung, Gianyar and Tabanan. Trans Sarbagita is aimed to resolve a problems caused by accretion volume of vehicles in Bali. This study conducted to forecast the number of Trans Sarbagita passengers in 2013 using ANFIS. The ANFIS system composed by five layers where each layers has a different function and its divide in two phases, i.e. forward and backward phases. The ANFIS uses a hybrid learning algorithm which is a combination of Least Squares Estimator (LSE) on forwards phases and Error Backpropagation (EBP) on the backward phases. The results show, ANFIS with six inputs with M.F of  Pi  produces smallest error, compared to seven and eight input and M.F gauss and generalizedbell. Forecast of Trans Sarbagita passenger numbers in 2013 have to fluctuated every day and the average of passenger’s Trans Sarbagita for a day is 1627 passengers with MSE equal to 10210 and MAPE is 4.01%.
PENERAPAN REGRESI GENERALIZED POISSON UNTUK MENGATASI FENOMENA OVERDISPERSI PADA KASUS REGRESI POISSON I PUTU YUDANTA EKA PUTRA; I PUTU EKA NILA KENCANA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 2 No 2 (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.i02.p038

Abstract

The Poisson regression is generally used to analyze the response variable that is a discrete data. Poisson regression has assumption which must be met, that is condition equidispersion. But in fact this assumption is often violated, that is the value of the variance is greater or less than the mean value. The condition when value of the variance is greater than the mean value is called overdispersion. One method that can be used for overdispersion data is Generalized Poisson regression. In this research, it was found that the Generalized Poisson regression method was better than Poisson regression method.
Co-Authors A. A. I. DWI FIBRIAYORA ADI PUTRAYASA AGUS EKA ARIESTA ALEXANDER HIRO WIBISONO ANAK AGUNG ISTRI AYU PRATAMI Anak Agung Putu Agung Suryawan Wiranatha ASTITI, Anak Agung Eka Putri Dewi Aulia Wicaksono Damanik, Veni Jean Gabriella Darmateja, I Made Sugita Desak Putu Eka Nilakusmawati DESAK PUTU PRAMI MEITRIANI Diana Diana DOMINGGAS TEO Driyandita, Bernadeta G. K. GANDHIADI G. K. GANDHIADI GEDE AGUS HENDRA YOGANGGA Gede Satria Suputra GUSTI AYU MADE ARNA PUTRI HANY DEVITA I GEDE HARDI KARMANA I GEDE SEKA SUYOGA I Gusti Ayu Made Srinadi I Gusti Ayu Oka Suryawardani I GUSTI NGURAH ARYA WANAYASA I KADEK TEGUH PRADANA I Ketut Satriawan I Ketut Surata I KOMANG GDE SUKARSA I KOMANG GEDE ANTARA I MADE ANOM ARIAWAN I MADE ARYA ANTARA I MADE DANNY DANANJAYA I Made Ramia Adnyana I Nyoman Widana I PUTU AGUS WIDHIANTARA I PUTU ARYA YOGA SUMADI I PUTU JERYANA I Putu Utama I Putu Winada Gautama I PUTU WINADA GAUTAMA I PUTU YUDANTA EKA PUTRA I Wayan Mertha I Wayan Rediyasa I Wayan Sumarjaya I Wayan Tika IDA AYU PRASETYA UTHAMI Ida Bagus Gde Pujaastawa Ida Bagus Kade Puja Arimbawa K. IMAMUDDIN KAMIL Isabel Divya Georgiana Walewangko JUEN LING KADEK BUDINIRMALA KADEK DWI FARMANI KADEK RISNA WITARI Ketut Jayanegara Komang Dharmawan LUH PUTU IDA HARINI MADE ARISTIAWAN JIWA ATMAJA MADE AYU DWI OCTAVANNY MADE PUTRI ARIASIH MADE SANJIWANI Made Susilawati Mahardika, Putu Harry MELINDA HERMANTO MOCH. ANJAS A MUHAMAD RIFAI MULIA YASMAN NGURAH GDE PRABA MARTHA Ni Kadek Emik Sapitri NI KADEK PUSPITAYANTI NI KADEK SETIAWATI Ni Ketut Tari Tastrawati NI LUH ARDILA KUSUMAYANTI Ni Luh Putu Ayu Fitriani Ni Luh Putu Suciptawati Ni Made Asih Ni Made Santiningsih NI MADE SUMA FRIDAYANI NI PUTU ANIK MAS RATNASARI NI WAYAN ARNI YANITA NI WAYAN EKA SURYA ARTINI NI WAYAN NINING ISMIRANTI NOVA SARI BARUS Putu Edi Dimas Saputra PUTU EKA SWASTINI Putu Harry Mahardika Putu Harry Mahardika PUTU NOPITA PURNAMA NINGSIH RAHMAD RAHMAD WIDODO Ratna Sari Widiastuti REYNALDO PANJI WICAKSONO SLAMET SAMSUL HIDAYAT SRI DIANTINI Tjokorda Bagus Oka TRISNA RAMADHAN VANIA RISKASARI YR VICTOR MALLANG Wijayakusuma, I Gusti Ngurah Lanang