Claim Missing Document
Check
Articles

FAKTOR-FAKTOR YANG MEMENGARUHI KEPUTUSAN MAHASISWA DALAM MEMILIH RUMAH KOST SITTI HAJAR; MADE SUSILAWATI; 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.p005

Abstract

Tujuan dari penelitian ini adalah mengetahui  faktor-faktor apa  saja yang  memengaruhi  keputusan mahasiswa  dalam  memilih  rumah kost.  Data  yang  digunakan  adalah  data  primer, yang diperoleh dari hasil  penyebaran  kuesioner  yang  merupakan  data  persepsi mahasiswa dalam memilih rumah kost. Teknik  pengambilan  sampel yang  digunakan adalah metode purposive  sampling, dengan sampel  penelitian adalah  mahasiswa Universitas Udayana yang  tinggal di rumah kost di daerah Bukit Jimbaran dan Denpasar  yang masih aktif kuliah yaitu angkatan 2008-2011.  Dimensi  faktor  yang  digunakan pada  penelitian  ini  yaitu:  faktor  referensi,  citra/reputasi, keamanan, harga, lingkungan, pelayanan, fasilitas, dan lokasi. Metode analisis yand digunakan adalah analisis faktor. Hasil Penelitian menunjukkan bahwa  faktor  paling dominan yang memengaruhi keputusan mahasiswa dalam memilih  kost  adalah faktor lingkungan  kost  dengan nilai  eigen  yaitu 4,119 dan keragaman varian sebesar 19,613%. Nilai loading  factor  paling besar dalam faktor ini dimiliki oleh variabel lingkungan kost yang bersih yaitu sebesar 0,797.   
METODE SPATIAL AUTOREGRESSIVE DALAM MEMODELKAN MASYARAKAT YANG BERPERILAKU MCK DI SUNGAI KOMANG KOKOM SUCAHYATI DEWI P; MADE SUSILAWATI; I WAYAN SUMARJAYA
E-Jurnal Matematika Vol 6 No 4 (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.i04.p171

Abstract

Spatial autoregressive (SAR) is a model of spatial regression which assumes that autoregressive process is only for the dependent variable by considering the spatial effect. The spatial effect consists of spatial dependence and spatial heterogeneity. One of problems which considers spatial effect is the case of society which do public bathing, washing, and toilets facilities (PBWTF) in the river, in Blahbatuh District. The aim of this research is to obtaine the model of society which still do PBWTF in the river, in Blahbatuh Districts in 2016 and to determine the factors that influence it. In this research, we obtained the model which is able to illustrate the case of society which do PBWTF and the factors that influence it such as the amount of householde which do not have latrine and the amount of family who lives near the river in every subvillage in Blahbatuh District. Keywords: SAR, Spatial Effect, and Public Bathing, Washing, and Toilets Facilities in the River.
PENERAPAN REGRESI AKAR LATEN DALAM MENANGANI MULTIKOLINEARITAS PADA MODEL REGRESI LINIER BERGANDA DWI LARAS RIYANTINI; MADE SUSILAWATI; KARTIKA SARI
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.p060

Abstract

Multicollinearity is a problem that often occurs in multiple linear regression. The existence of multicollinearity in the independent variables resulted in a regression model obtained is far from accurate. Latent root regression is an alternative in dealing with the presence of multicollinearity in multiple linear regression. In the latent root regression, multicollinearity was overcome by reducing the original variables into new variables through principal component analysis techniques. In this regression the estimation of parameters is modified least squares method. In this study, the data used are eleven groups of simulated data with varying number of independent variables. Based on the VIF value and the value of correlation, latent root regression is capable of handling multicollinearity completely. On the other hand, a regression model that was obtained by latent root regression has   value of 0.99, which indicates that the independent variables can explain the diversity of the response variables accurately.
ANALISIS TINGKAT KEPUASAN KONSUMEN TERHADAP KUALITAS LAYANAN SHOPEE NI WAYAN WIDYA EKARANI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
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.p358

Abstract

The Covid-19 pandemic caused many people starting to switch to buying and selling online, some of them use Shopee e-commerce. The aim of this study is to analyze the factors that influence customer satisfaction with service quality and to analyze Shopee's service quality using confirmatory factor analysis and e-servqual analysis. The variables of this study are divided into seven dimensions of e-servqual, namely efficiency, fullfilment, system avaibility, privacy, responsiveness, compensation, and contact, with a total of 23 indicators. This study took a sample of 126 Shopee user respondents in Bali Province who had made transactions at least 3 times until 2021. The results of the factor analysis show that there really are seven dimensions that affect the quality of online services. The results of the e-servqual analysis obtained the value of consumer perceptions of service quality is 7.82 , this value was included in the satisfied category. The factors that require focus of attention are the dimensions of system availability, need to improve the system so that the server does not down easily during heavy traffic.
MODEL GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) FAKTOR-FAKTOR YANG MEMENGARUHI KECELAKAAN LALU LINTAS DI PROVINSI BALI NI KADEK ENDAH YANITA UTARI; I GUSTI AYU MADE SRINADI; MADE SUSILAWATI
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.p245

Abstract

The number of traffic accidents in Bali kept increasing since 2015 until 2017. The factors that affected the traffic accidents in every region were suspected to be varied according to geographic position. This geographic effect was known as spatial heterogeneity. Spatial heterogeneity was analized by using Geographically Weighted Regression (GWR). This study aim to model the factors which affected the traffic accidents in every subdistrict in Bali by using fixed and adaptive gaussian kernel. The result showed that GWR with adaptive gaussian kernel was better at estimated the models because it had higher value of which was at . The factors which significantly affected the number of traffic accident in 57 subdistrict in Bali were the average rainfall and the number of population within age of 15 to 29 years old.
PERBANDINGAN TRANSFORMASI BOX-COX DAN REGRESI KUANTIL MEDIAN DALAM MENGATASI HETEROSKEDASTISITAS NI WAYAN YUNI CAHYANI; I GUSTI AYU MADE SRINADI; MADE SUSILAWATI
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.p081

Abstract

Ordinary least square (OLS) is a method that can be used to estimate the parameter in linear regression analysis. There are some assumption which should be satisfied on OLS, one of this assumption is homoscedasticity, that is the variance of error is constant. If variance of the error is unequal that so-called heteroscedasticity. The presence heteroscedasticity can cause estimation with OLS becomes inefficient. Therefore, heteroscedasticity shall be overcome. There are some method that can used to overcome heteroscedasticity, two among those are Box-Cox power transformation and median quantile regression. This research compared Box-Cox power transformation and median quantile regression to overcome heteroscedasticity. Applied Box-Cox power transformation on OLS result ????2point are greater, smaller RMSE point and confidencen interval more narrow, therefore can be concluded that applied of Box-Cox power transformation on OLS better of median quantile regression to overcome heteroscedasticity.
ANALISIS KEMISKINAN DENGAN PENDEKATAN MODEL REGRESI SPASIAL DURBIN (Studi Kasus: Kabupaten Gianyar) LUH PUTU SAFITRI PRATIWI; I GUSTI AYU MADE SRINADI; MADE SUSILAWATI
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.p042

Abstract

Poverty still a complex problems for both at national and regional level, so it requires an appropriate and sustainable strategy mitigation. Every household in the different regions has different characteristics and influenced factors, so it requires the identification of the factors that influence poverty by paying attention to the influence of the area using the Spatial Durbin Model (SDM). The purpose of SDM modeling is to determine the spatial dependency relationship which occur not only in the dependent variables, but also on the independent variables. The result shows that the significant lagged dependent variable is indicated by the parameter Lag significant independent variables are independent variables with a significant weighting, but there are no independent variables that are significant with the weighting.
ANALISIS HUBUNGAN PRODUKSI PADI DAN INDIKATOR ENSO DI KABUPATEN TABANAN DENGAN PENDEKATAN COPULA LUH GEDE UDAYANI; I WAYAN SUMARJAYA; MADE SUSILAWATI
E-Jurnal Matematika Vol 5 No 4 (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.i04.p136

Abstract

Dependence relationship between two or more variables is an issue that is often studied in the science of probability and statistics. Pearson correlation is often the easiest option to measure dependencies between variables. It is well known, that Pearson correlation assumes that the variable under study must be normally distributed. However, in reality this is not the case; for example, data in fields such as climatology and meteorology, insurance, and financial. Copula is a tool that can be used to model the joint distribution because it does not require the assumption of normality of the data so that it is resilient against a wide range of data. In this study, we discussed the application of copula in modeling the structure of dependencies between two variables: the production of rice and El-Nino Southern Oscillation (ENSO) indicator per period in Tabanan Regency. The best dependency model structure is given by the Frank copula of the Archimedean copula family with estimation parameter,  ? = 2,817 and the loglikelihood value of 3,47.
ANALISIS FAKTOR PERSEPSI AKADEMISI TERHADAP PENGGUNAAN BUSANA ADAT DI LINGKUNGAN SEKOLAH LUH PUTU IDA HARINI; KARTIKA SARI; MADE SUSILAWATI
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.p340

Abstract

Traditional Balinese clothing is a typical Balinese clothing that is characterized by Balinese customs used as a form of cultural protection that reflects the nature of politeness, shade, peace, and pride for the wearer. The Governor of Bali in the Regulation of the Governor of Bali Number 79 of 2018, concerning the Day for the Use of Balinese Traditional Clothing states that one of the objectives of using Balinese traditional clothing is to maintain and maintain the preservation of Balinese Traditional Clothing in order to strengthen identity, character and character, to recognize the values the aesthetic, ethical, moral, and spiritual values ??contained in Balinese culture and encourage increased use of local Balinese fashion products and industries. The purpose of this study was to determine the factors that influence academic perceptions of the use of traditional clothing in the school environment. This research was conducted in high schools in Denpasar, using the factor analysis method. The sample in this study were 181 respondents. The sampling technique used was purposive sampling. The results showed that the factors that influenced students' perceptions of the use of traditional clothing in the school environment were comfort in traditional clothing, knowledge of the rules of traditional dress, knowledge of traditional clothing, ethics of Balinese traditional dress and tourists and Balinese traditional clothing. These five factors can explain the diversity of students 'perceptions of 58.742 percent, with the dominant factor affecting students' perceptions of the use of traditional clothing in the school environment is comfort in traditional dress.
BOOTSTRAP AGGREGATING (BAGGING) REGRESI LOGISTIK ORDINAL UNTUK MENGKLASIFIKASIKAN STATUS GIZI BALITA DI KABUPATEN KLUNGKUNG PALUPI PURNAMA SARI; MADE SUSILAWATI; I GUSTI AYU MADE SRINADI
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.p128

Abstract

This research was conducted to determine the variables that significantly influence nutritional status of children based on indicators that defined as height for age (H/A) and to classify children nutritional status into normal, short or very short categories. Height for age (H/A) is indicator used to describe the circumstances of malnutrition short. Short children (stunting) is  children who fail to reach optimal growth. The secondary data was list of 116 data of children aged 24-59 months at UPT. Puskesmas Klungkung I in 2015. The method was used was ordinal logistic regression and bagging ordinal logistic regression. Based on the research results, it was obtained variables children body length at birth, birth weight, and length of mid-upper arm circumference (MUAC) in pregnant woman were significantly affects the nutritional status of children by the classification accuracy level of ordinal logistic regression and misclassification . Classification accuracy of ordinal logistic regression can be improved by bagging ordinal logistic regression method. Bagging works well on classification method which has unstable procedures. One of classification method which has unstable procedures is ordinal logistic regression. Bagging ordinal logistic regression method by 501 times replication capable to improve classification accuracy of ordinal logistic regression model from to , increased .
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