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All Journal Jurnal Studi Jender SRIKANDI Jurnal Kimia (Journal of Chemistry) Jurnal Matematika PIRAMIDA Buletin Udayana Mengabdi E-Jurnal Matematika Jurnal Pengajaran MIPA Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam Jurnal Master Pariwisata (JUMPA) Indonesian Journal of Physics and Nuclear Applications BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal of Applied Sciences in Tourism and Events Jurnal Ilmiah Ilmu Sosial Journal on Education MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Dinasti International Journal of Education Management and Social Science SEPREN: Journal of Mathematics Education and Applied Innovative: Journal Of Social Science Research INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE International Journal of Social and Education (INJOSEDU) International Journal of Applied Mathematics and Computing.
Ni Luh Putu Suciptawati
Program Studi Matematika – FMIPA Universitas Udayana
Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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PERBANDINGAN METODE MCD-BOOTSTRAP DAN LAD-BOOTSTRAP DALAM MENGATASI PENGARUH PENCILAN PADA ANALISIS REGRESI LINEAR BERGANDA NI LUH PUTU RATNA KUMALASARI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
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.p147

Abstract

Outliers are observations that are far away from other observations. Outlier can be interfered with the process of data analysis which influence the regression parameters estimation.  Methods that are able to deal with outliers are Minimum Covariance Determinant and Least Absolute Deviation methods. However, if both methods are applied with small sample the validity of both methods is being questioned. This research applies bootstrap to MCD and LAD methods to small sample. Resampling using 500, 750,and 1000 with confidence interval of 95% and 99% shows that both methods produce an unbiased estimators at 10%, 15%, and 20% outliers. The confidence interval of MCD-Bootstrap method is shorter than  LAD-Bootstrap method. Both are, MCD-Bootstrap method is a better thus than LAD-Bootstrap method.
PENERAPAN BOOTSTRAP DALAM METODE MINIMUM COVARIANCE DETERMINANT (MCD) DAN LEAST MEDIAN OF SQUARES (LMS) PADA ANALISIS REGRESI LINIER BERGANDA NI PUTU IIN VINNY DAYANTI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
E-Jurnal Matematika Vol 5 No 1 (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.i01.p116

Abstract

Ordinary Least Squares (OLS) Method is a good method to estimate regression parameters when there is no violation in classical assumptions, such as the existence of outlier. Outliers can lead to biased parameters estimator, therefore we need a method that can may not affected by the existence of outlier such as Minimum Covariance Determinant (MCD) and Least Median of Squares (LMS). However, the application of this method is less accurate when it is used for small data. To overcome this problem, it was aplicated bootstrap method in MCD and LMS to determine the comparison of bias in parameters which were produced by both methods in dealing outlier in small data. The used bootstrap method in this study was the residual bootstrap that works by resampling the residuals. By using 95% and 99% confidence level and 5%, 10%  and 15% outlier percentage, MCD-bootstrap and LMS-bootstrap give value of parameter estimators which were unbias for all percentage of outlier. We also found that the widht of range which produced by MCD-bootstrap method was shorter than LMS-bootstrap method produced. This indicates that MCD-bootstrap method was a better method than LMS-bootstrap method.
PERAMALAN JUMLAH KUNJUNGAN WISATAWAN AUSTRALIA YANG BERKUNJUNG KE BALI MENGGUNAKAN MODEL TIME VARYING PARAMETER (TVP) I PUTU GEDE DIAN GERRY SUWEDAYANA; I WAYAN SUMARJAYA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 5 No 3 (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.i03.p130

Abstract

The purpose of this research is to forecast the number of Australian tourists arrival to Bali using Time Varying Parameter (TVP) model based on inflation of Indonesia and exchange rate AUD to IDR from January 2010 – December 2015 as explanatory variables. TVP model is specified in a state space model and estimated by Kalman filter algorithm. The result shows that the TVP model can be used to forecast the number of Australian tourists arrival to Bali because it satisfied the assumption that the residuals are distributed normally and the residuals in the measurement and transition equations are not correlated. The estimated TVP model is . This model has a value of mean absolute percentage error (MAPE) is equal to dan root mean square percentage error (RMSPE) is equal to . The number of Australian tourists arrival to Bali for the next five periods is predicted: ; ; ; ; and (January - May 2016).
PENERAPAN REGRESI PROBIT BIVARIAT UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI KELULUSAN MAHASISWA (Studi Kasus: Mahasiswa Fakultas MIPA Unversitas Udayana) NI GUSTI KETUT TRISNA PRADNYANTARI; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 4 No 2 (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.i02.p088

Abstract

The aim of this research to estimate the factors that affect students graduation using bivariate probit regression. Bivariate probit regression is a statistical method that involves two response variables which are qualitative and the independent variables are qualitative, quantitative, or a combination of both. In bivariate probit regression model, the result obtained is the probability of the response variable. The result of this research are the factors that affect significantly for students graduation based on study period are majors, sex, and duration of the thesis, while the factors that significantly for students graduation based on GPA are the entry system, duration of the thesis and the number of parents’ dependents.
PENERAPAN ANALISIS KORELASI KANONIK PADA HUBUNGAN KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH KADEK ANDREI PRABAWA; NI LUH PUTU SUCIPTAWATI; 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.p152

Abstract

Customer satisfaction is determined by the quality of customer service desired. Service quality of a company are important viewed from a consumer standpoint. The p
IDENTIFIKASI FAKTOR-FAKTOR YANG MEMENGARUHI REMAJA BERMAIN ROLE PLAYING GAME PADA SMARTPHONE I GEDE ARY SUARTAMA; NI LUH PUTU SUCIPTAWATI; NI MADE ASIH
E-Jurnal Matematika Vol 8 No 3 (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.i03.p252

Abstract

This research is aimed to determine the factors that influence teenagers playing Role Playing games (RPG) games using factor analysis. Sample of this study were 120 respondents. The respondents were teenager aged 16 years to 24 years who like to play RPG games. The data were obtained from primary sources using questionnaires distributed using Google form. The results showed there were three factors that influence teenagers playing RPG games. Those factors are : 1)The interest and satisfaction when playing the game, 2) Quality of the smartphone and friends, and 3) The quality of internet. The cumulative percentage of the three factors is able to explain 67.34% of the total variable.
ANALISIS HUBUNGAN PENDAPATAN WISATAWAN DAN HARGA PARIWISATA TERHADAP PERMINTAAN PARIWISATA DENGAN VECM MERARY SIANIPAR; NI LUH PUTU SUCIPTAWATI; KOMANG DHARMAWAN
E-Jurnal Matematika Vol 5 No 2 (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.i02.p120

Abstract

Tourism demand is focused on estimating variables which influence tourist visit. The tourism demand that we discuss on this research is the tourism demand to Bali of the major tourism-generating country was Australia. The aim of this research is to analyze the relationship between tourist income and tourism price to tourism demand using VECM. VECM requires that the variables in the model must be stationary and fulfilled a cointegration condition. In order to make it valid, the stationarity of variables in the model have to be checked using ADF unit root test. In additon, cointegration between these variables are examined using Johansen’s cointegration test. The results of ADF unit root test show that indicated the tourist income, the tourism price and the tourism demand for Australia data are stationary in first lag or I(1). Cointegration test shows that all variables are cointegrated, i.e. have a long-run relationship. In the long-run, the tourist income and tourism price give positive effect to the tourism demand. This means, the increase of tourist income and tourism price will contribute to the increase in tourism demand. In addition, in the short-run, the tourist income and the tourism price give negative effect to the tourism demand. This means, the increase of tourist income and tourism price will contribute to the decrease in tourism demand.
MODEL REGRESI NONPARAMETRIK SPLINE TRUNCATED PADA JUMLAH KASUS TUBERKULOSIS DI PROVINSI BALI TAHUN 2016 NI PUTU RINA ANGGRENI; NI LUH PUTU SUCIPTAWATI; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 7 No 3 (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.i03.p205

Abstract

Tuberculosis is a contagious disease caused by Mycobacterium tuberculosis. Based on data from the health office of Bali Province, in 2015 tuberculosis cases found 0,96%, while in 2016 tuberculosis cases increase to 1,05%. This research used truncated spline nonparametric regression to model tuberculosis cases in Bali Province in 2016. This method was used because truncated spline has high flexibility compared to other polynomial models. The truncated spline function has a connecting point called knots. The best estimation of truncated spline regression model is obtained from optimal knot point selection by calculating minimum generalized cross validation. The estimated truncated model is linear with one knot point with determination coefficient equals to 70,48 %. In addition, it is also found in order to reduce tuberculosis cases the government of Bali Province should increase percentage of family who lives clean and healthy.
MEMONITOR KUALITAS PEMBELAJARAN DI FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNIVERSITAS UDAYANA RAHMAD RAHMAD WIDODO; I PUTU EKA NILA KENCANA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 10 No 3 (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.i03.p338

Abstract

Controlling the quality of learning is very important and influences the accreditation of study programs at the Faculty of Mathematics and Natural Sciences Udayana University, as a guarantor of the quality of graduates. Apply pricipal component analysis to reduce the number of determinant attributes of learning quality, with the aim of looking at the data structure with fewer variables. The control chart is a multivariate control chart that is used to view the potrait of the quality of learning in the Mathematics and Natural Sciences Faculty, using new variables obtained from principal component analysis. The results obtained from principal component analysis show that the contribution of the learning quality indicators is univen. The potrait of the quality of learning at the Faculty of Mathematics and Natural Sciences obtained from the individual-moving range (I-MR) and the control chart shows the need for corrective actions and monitor regularly to improve the quality of learning.
PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten) NI MADE RARA KESWARI; I WAYAN SUMARJAYA; NI LUH PUTU SUCIPTAWATI
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.p072

Abstract

Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean. However, in practice, this assumption is often violated. One of this violation is overdispersion in which the variance is greater than the mean. There are several  methods to overcome overdispersion. Two of these methods are negative binomial regression and generalized Poisson regression. In this research, binomial negative regression and generalized Poisson regression statistically equally good in handling overdispersion.
Co-Authors AA Sudharmawan, AA Adisty Fayza Wiana Agnes Juliet Bokings AGUSTINUS ANGELAUS ETE ALEXANDER JOSEPH RIADI ANAK AGUNG ISTRI AYU PRATAMI Anresangsya Pria Satvika AYU SANDRA TIARA DEWI Damayanthi, Ni Wayan Rita Desak Putu Eka Nilakusmawati Dipa, I Putu Gede Prada Eka N Kencana EKA N. KENCANA EKA N. KENCANA FELINA CHANTIKA PUTRI G. K. GANDHIADI G.K. GANDHIADI GUSTI AYU MADE CANDRA RINI Hellena Hendarta I GEDE ARI SUDANA I GEDE ARY SUARTAMA I GEDE GANDEVA UMBARA I GEDE MAHA HENDRA PRATAMA I GEDE RENDIAWAN ADI BRATHA I Gusti Ayu Made Srinadi I KOMANG GDE SUKARSA I MADE ANOM ARIAWAN I MADE EKA DWIPAYANA I Made Eka Dwipayana I Nengah Simpen I Nyoman Widana I PUTU ARISTA YASA I Putu Eka Nila Kencana I PUTU GEDE DIAN GERRY SUWEDAYANA I Putu Winada Gautama I WAYAN RIAN PRATAMA I Wayan Sumarjaya I WAYAN SUMARJAYA I Wayan Tedy Setiawan I.G.A. DIAH SULASIH Ida Ayu Putu Ari Utari Ida Ayu Putu Ari Utari Ida Ayu Putu Ratna Dewi IDA AYU SRI PADMINI KADEK ANDREI PRABAWA KADEK ANDRIANI DWI PRATIWI KADEK BUDINIRMALA KADEK NOVIA DWIJAYANTHI KADEK YUSA MAHENDRA Kencana, Eka N Kencana, Eka N. Ketut Ananda Kuvera Witana Ketut Jayanegara KOMANG AYU YULIANINGSIH Komang Dharmawan LAILATUL RIZKIANA Luh Gde Trishia Damayanti LUH PUTU ARI DEWIYANTI LUH PUTU IDA HARINI Luh Putu Trisna Darmayanti M Sianipar M. Asih Made Asih Made Asih Made Dwitari Utami Made Susilawati MAHMUDATUL AQIBAH MERARY SIANIPAR Mirah P Handayani N. M Asih N. WIDANA N.M. Asih NI GUSTI KETUT TRISNA PRADNYANTARI NI KADEK AYU PUJI ASTUTI Ni Ketut Tari Tastrawati NI KOMANG AYU SRI CAHYANI Ni Komang Jeni Frika Yanti NI LUH GEDE WIDIADNYANI NI LUH PUTU RATNA KUMALASARI NI LUH SUKERNI NI MADE ARY DHARMA WIDYA ASTUTI Ni Made Asih NI MADE METTA ASTARI NI MADE PUSPASARI Ni Made Puspawati NI MADE RARA KESWARI NI MADE SRI SUGIANTARI Ni Made Sri Wahyuni NI NENGAH RIKA PUSPITA Ni Nyoman Sri Artini Ni Putu Ananda Puspita Sari NI PUTU AYU DINITA TRISNAYANTI NI PUTU AYU MIRAH MARIATI NI PUTU IIN VINNY DAYANTI NI PUTU RINA ANGGRENI Ni Putu Sugiantari NI WAYAN AMANDA DEWI SULISTYANINGSIH Ni Wayan Liana Sukmawati Ni Wayan Rita Damayanthi NI WAYAN WIDYA EKARANI Pradantya Putra, Nyoman Gede Mas Pramesti, Ni Kadek Lia Cahyani Putu Rama Hari Bagaskara P. RAHMAD RAHMAD WIDODO Riadi, Alexander Joseph SANG AYU PUTRI INDRIA RANTASARI SRI DIANTINI Sulma, Sulma Wella Dhanuantari Wijayakusuma, I Gusti Ngurah Lanang Zulvatul Hasanah