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PEMODELAN JUMLAH KASUS PENYAKIT KUSTA DI PROVINSI JAWA TIMUR NI MADE SUKMA PERTIWI; I KOMANG GDE SUKARSA; MADE SUSILAWATI
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.p277

Abstract

Spatial Autoregressive Model (SAR) is a combination of linear regression models with spatial lag in response variables that consider spatial effects. One problem that considers spatial effects is leprosy cases. This study aims to predict the number of leprosy cases models in East Java Province and the factors that influence it. The type of data used in this study is secondary data obtained from the publication of the Health Profile of East Java Province in 2017 and the publication of the Central Statistics Agency (CSA) of East Java Province. The results of this study indicate that the SAR model can describe the number of leprosy cases in East Java Province with AIC value is 109,951 and value is 71,93%. The factors that influence the number of leprosy cases are the percentage of healthy houses and the number of health centers in each district/city in East Java Province.
PEMODELAN PENYEBARAN KASUS DEMAM BERDARAH DENGUE (DBD) DI KOTA DENPASAR DENGAN METODE SPATIAL AUTOREGRESSIVE (SAR) NI MADE SURYA JAYANTI; I WAYAN SUMARJAYA; 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.p146

Abstract

One of spatial regression model is Spatial Autoregressive (SAR), which assumes that the autoregressive process only on the dependent variable only by considering the spatial effects. There are two aspects of spatial effects, that is spatial dependence and spatial heterogeneity. One of the problems which considers spatial effect is the spread of Dengue Hemorrhagic Fever (DHF). Denpasar City is an endemic DHF disease because there have been DHF cases in three consecutive years or more. The purpose of this research is to estimate the spread of DHF in  Denpasar City along with the factors that affect it. The results show that the factors that influence the spread of DHF are neighborhood, area and the role of Jumantik at the every village in Denpasar City.
PEMODELAN KASUS PNEUMONIA PADA BALITA DI PROVINSI BALI MENGGUNAKAN METODE REGRESI NONPARAMETRIK B-SPLINE I GUSTI AYU MADE VALENTINA DEWI; I GUSTI AYU MADE SRINADI; MADE SUSILAWATI
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.p299

Abstract

Pneumonia is an inflammatory lung disease caused by bacterium Streptococcus pneumonia, Chlamydophila pneumonia bacteria, influenza virus, and fungi. Bali Provincial Health Service data in 2018 shows that one of the diseases that causes many deaths in children under five is pneumonia. This study aims to model the number of pneumonia cases in children under five in Bali Province in 2018 with six research variables, namely percentage of low birth weight, percentage of coverage of infants who receive vitamin A, percentage of infants who receive exclusive breastfeeding, percentage of under-five health services, percentage of villages that implement community-based total sanitation, and percentage of neonatal complications management. In the B-Spline function there are connecting points called knots. The best estimation of the B-Spline regression model is obtained from selecting the optimum knot point with the criteria for the value of generalized cross validation (GCV) and the selected mean square error (MSE) having the minimum value. The B-Spline regression model that is formed is the quadratic B-Spline model (order 3) with five knots resulting in an value of 87.79%.
ANALISIS REGRESI NONPARAMETRIK SPLINE MULTIVARIAT UNTUK PEMODELAN INDIKATOR KEMISKINAN DI INDONESIA DESAK AYU WIRI ASTITI; I WAYAN SUMARJAYA; MADE SUSILAWATI
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.p129

Abstract

The aim of this study is to obtain statistics models which explain the relationship between variables that influence the poverty indicators in Indonesia using multivariate spline nonparametric regression method. Spline is a nonparametric regression estimation method that is automatically search for its estimation wherever the data pattern move and thus resulting in model which fitted the data. This study, uses data from survey of Social Economy National (Susenas) and survey of Employment National (Sakernas) of 2013 from the publication of the Central Bureau of Statistics (BPS). This study yields two models which are the best model from two used response variables. The criterion uses to select the best model is the minimum Generalized Cross Validation (GCV). The best spline model obtained is cubic spline model with five optimal knots.
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.
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 WAKTU KELULUSAN MAHASISWA DENGAN METODE CHAID (STUDI KASUS: FMIPA UNIVERSITAS UDAYANA) IDA AYU SRI PADMINI; LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
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.p016

Abstract

This research aim to knowing the variables classification that distinguish graduated time student between proper time with not proper time on FMIPA Udayana Universities with use CHAID Method. This research conducted at FMIPA Udayana Universities, with research sample about 751 persons student graduated FMIPA Udayana Universities period February 2008 until August 2011. CHAID method produce 7 segment there are: student graduated from Biology department and Chemistry women gender; from Biology and Chemistry man gender; from Mathematic department and Physic with IPK?3,00; from Mathematic department and Physic with IPK>3,00 and thesis period?6 months; from Mathematic department and Physic with IPK>3,00 and period thesis>6 months; from Pharmacy as well as student graduated from Computer science department.
PENDUGAAN DATA HILANG DENGAN METODE YATES DAN ALGORITMA EM PADA RANCANGAN LATTICE SEIMBANG MADE SUSILAWATI; KARTIKA SARI
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.p092

Abstract

Missing data often occur in agriculture and animal husbandry experiment. The missing data in experimental design makes the information that we get less complete. In this research, the missing data was estimated with Yates method and Expectation Maximization (EM) algorithm. The basic concept of the Yates method is to minimize sum square error (JKG), meanwhile the basic concept of the EM algorithm is to maximize the likelihood function. This research applied Balanced Lattice Design with 9 treatments, 4 replications and 3 group of each repetition. Missing data estimation results showed that the Yates method was better used for two of missing data in the position on a treatment, a column and random, meanwhile the EM algorithm was better used to estimate one of missing data and two of missing data in the position of a group and a replication. The comparison of the result JKG of ANOVA showed that JKG of incomplete data larger than JKG of incomplete data that has been added with estimator of data. This suggest  thatwe need to estimate the missing data.
APLIKASI COX PROPORTIONAL HAZARD PADA SINTASAN PASIEN ASMA NI NENGAH RIKA PUSPITA; MADE SUSILAWATI; NI LUH PUTU SUCIPTAWATI
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.p360

Abstract

Asthma is defined as a chronic inflammatory disease of the respiratory tract. Since 2013, Bali ranks sixth out of thirty three provinces in Indonesia for the most asthma patient. This study has a purpose to examine the influential factors on the cure rate of asthma patients and determine the best model using the stepwise method. To determine the survival rate of asthma patients, a statistical method that involves censored data is used by applying the Cox Proportional Hazard regression. The data used in this study were medical records of asthma patients who were hospitalized at the Wongaya Regional General Hospital in Denpasar for the period January , 2019 to April , 2020. The analysis of this study discovered that significant variables for the survival of asthma patients were age and disease.
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.
Co-Authors AA Sudharmawan, AA Ade Widyaningsih Adelia Yuniarti Adinda Audy Sita Mayzandy ALEXANDER JOSEPH RIADI Andini Ni Kadek ANNA FITRIANI Anresangsya Pria Satvika Antesty, Sella Asmara Santhi, Ni Kadek Wulanda As’ady, Mustofa Bagus Hari Sugiharto Bakkara, Bonica Nisra Br Barus, Eka Valencia Chandra, Johnny Chrisna Anzella Jacob Citra Annisa Rahmania DAIMATUL KHOIRIYAH DESAK AYU WIRI ASTITI Desak Putu Eka Nilakusmawati DEWA AYU DWI ASTUTI Dewa, Saroja Sari Diana Anggraini Kusumawati Diana Diana Diva, Made Tresia Pramasta Duffin DWI LARAS RIYANTINI Eddy Silamat, Eddy EKA N. KENCANA Eko Nur Hermansyah EVI NOVIYANTARI FATIMAH Fadil Mas’ud Fatmasari, Ria Kristia Febriyanti, Ni Wayan Atik FELINA CHANTIKA PUTRI G. K. GANDHIADI G. K. GANDHIADI G.K. GANDHIADI GUSTI AYU RATIH ASTARI Hartono Hartono Hellena Hendarta Hiras Pasaribu Hugo Prasetyo Winotoatmojo I Gusti Ayu Made Srinadi I GUSTI AYU MADE VALENTINA DEWI I GUSTI NGURAH SENTANA PUTRA I KOMANG GDE SUKARSA I PUTU ARISTA YASA I Putu Eka Nila Kencana I Putu Winada Gautama I WAYAN RIAN PRATAMA I WAYAN SUMARJAYA I Wayan Sumarjaya I.G.A. DIAH SULASIH IDA AYU SRI PADMINI IMAMUDDIN KAMIL INA AZIZAH KADRI IRA INDRIYANTI IYOS ALFRANTA SURBAKTI Jamaluddin Majid Johannes P Kumagaya Judijanto, Loso Juliani Tandi Tumbiri KADEK YUSA MAHENDRA Kartika Sari Kastini, Ni Wayan Ketut Jayanegara Kharisma Dewi, Ni Putu Dian KOMANG CANDRA IVAN KOMANG KOKOM SUCAHYATI DEWI P Kosasih, Eva Kundori Kusiyah LUH GEDE UDAYANI LUH PUTU IDA HARINI LUH PUTU SAFITRI PRATIWI Luluk Sarifah M ARRIE KUNILASARI ELYNA Made Ayu Asri Oktarini Putri MADE AYU DWI OCTAVANNY MADE NARYMURTI WIDYASTUTI Masnoni, Masnoni Meilandri, Detti MILATUS SHOLIKHA Miltiades Dewifortuna Pulo MIRA AYU NOVITA SARI MODANA LOLITA Muhamad Risal Tawil Naswan Hadilia Neneng Widayati Nggandung, Yeheskial NI KADEK AYU PUJI ASTUTI NI KADEK DWI ARISYA AFRILIANTI NI KADEK ENDAH YANITA UTARI Ni Ketut Tari Tastrawati Ni Komang Jeni Frika Yanti NI LUH GEDE WIDIADNYANI NI LUH PUTU RATNA KUMALASARI Ni Luh Putu Suciptawati NI LUH WIWIN YUNIARTI NI MADE ARY DHARMA WIDYA ASTUTI Ni Made Deviani Prisilia NI MADE PUSPASARI NI MADE SRI KUSUMAWARDHANI NI MADE SRI SUGIANTARI NI MADE SUKMA PERTIWI NI MADE SURYA JAYANTI NI NENGAH RIKA PUSPITA NI NYOMAN UTAMI DEWI Ni Nyoman Widiasih NI PUTU IIN VINNY DAYANTI NI PUTU NADYA AGUSVIANI NI PUTU PREMA DEWANTI NI WAYAN ARI SUNDARI NI WAYAN DIAH SIHMAWATI NI WAYAN WIDYA EKARANI NI WAYAN YUNI CAHYANI Nilakusmawati, DPE ningrum, dedah - Ningrum, Endah Prawesti Nurhanimah Nurul Ilma Nurul Iman, Nurul Nyoman Wendri Octavanny, Made Ayu Dwi PALUPI PURNAMA SARI Parlindungan Dongoran PRISCELLA PURBA PUTRI DAMEYANTI Putu Edi Dimas Saputra PUTU OKA SURYA ARSANA Putu Rama Hari Bagaskara P. Rinovian Rais Sahri, Yulian Sari Purnamayanti, Ni Gusti Ayu Kadek Selan, Dwi Dersmi Siti Hawa SITTI HAJAR Srinadi, I Gusti Ayu Srinadi, IGAM Suciptawati, NLP Syunikitta, Mirwanti Thalib, Najdah Tita Safitriawati Tubagus, Munir Ulfatun Farika Novitasari Usmany, Paul Utami, Eva Yuniarti Wagiyo Widianti, Nyoman Widyatmike Gede Mulawarman Yasir Maulana, Yasir ZAKIAH NURLAILA Zein Ghozali