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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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Journal : E-Jurnal Matematika

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PENERAPAN REGRESI COX PROPORTIONAL HAZARD UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI LAMA MENCARI KERJA I GEDE ARI SUDANA; NI LUH PUTU SUCIPTAWATI; LUH PUTU IDA HARINI
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.p041

Abstract

Survival analysis is a statistical method that accommodates the collection of censored data. One of popular method in survival analysis is the Cox Proportional Hazard Regression. The Cox Proportional Hazard Regression can be used to see old looking for work where data may contain censored data. This article aims investigate the characteristics of job seekers and the variables that affect old looking for work. To establish the best model using Stepwise Selection method. Prior to that the assumption of Cox Proportional Hazards Regression is tested using log minus log curve. The results obtained from Cox Proportional Hazards Regression model is as follows  
MEMODELKAN KEMISKINAN PENDUDUK PROVINSI BALI DENGAN REGRESI DATA PANEL KADEK BUDINIRMALA; NI LUH PUTU SUCIPTAWATI; KETUT JAYANEGARA; I PUTU EKA NILA KENCANA
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.p206

Abstract

One indicator of the success of development programs undertaken is the declining percentage of the poor, defined as the ratio of the number of people classified as poor to the total population. For Bali province, despite its economic growth is higher than national rate; 6.03 percent and 6.24 percent compared to 4.88 percent and 5.02 percent in 2015 and 2016, respectively; the poor are still observed in this province by 4.15 percent of its 4.2 million population in September 2016. In order to make development programs in Bali more effective to decrease the number of poor people, significant determinants of poor have to be recognised. The purpose of this work is to model and to determine the significant factor(s) that affect the percentage of poor in Bali province by applying panel data analysis. Percentage of poor for period 2007 to 2015 is positioned as the dependent variable while economic growth, unemployment rate, labor force participation rates, total population, and human development index as the independent ones. We found the best model to describe the causal relationship among variables is fixed effect model and two predictors, the economic growth rate and human development index, were significant in affecting the number of poor in Bali province.
PENGELOMPOKAN SAYURAN BERDASARKAN KEMIRIPAN KANDUNGAN GIZI AYU SANDRA TIARA DEWI; NI LUH PUTU SUCIPTAWATI; I GUSTI AYU MADE SRINADI
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.p199

Abstract

One of the either of health maintain is trough the food consumption pattern that fulfill nutrient content. Vegetables are needed to body as source of vitamin, mineral and fiber in gaining healthy food pattern as a recommended guidance of nutrient balancing for optimal health. This research is aimed to determine several type of vegetables that have similarity of nutrient content and types of nutrient content which characterized of each vegetables grup. The method is biplot analysis. Biplot analysis can show the type of vegetables and type of nutrient content simultaneously in a two-dimensional plot. From this plot, the information about vegetables that have similarity of nutrient content and type of nutrient content which characterized of each vegetables group. This research used 37 type of vegetable as an observation object and type of nutrient content observed is 13. The result of this analysis is obtained 7 vegetables group with different characteristic changes.
IMPLEMENTASI DATA PANEL SPASIAL TERHADAP TINGKAT PRODUK DOMESTIK REGIONAL BRUTO DI PROVINSI BALI NI MADE ARY DHARMA WIDYA ASTUTI; MADE SUSILAWATI; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 10 No 2 (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.i02.p319

Abstract

Gross Regional Domestic Product (GRDP) is an economic indicator to see the economic movements of a region during a certain period, whether based on current and constant price. Economic activities in a region use the GRDP calculation based on current prices by industrial base year 2010. In 2019, Bali's economic growth increased by , exceeding national economic growth of . Using spatial panel data in analysis consists of common effect model, fixed individual effect model, fixed time effect model, random effect model, and spatial lag fixed effect model. The best model to modeling GRDP Bali Province is spatial lag fixed effect which has a difference in constant values ??at any time, with of 99.41 percent, the remaining is explained by other variables not examined
HUBUNGAN PENGARUH PENOLONG KELAHIRAN TERHADAP STATUS KELAHIRAN BAYI DENGAN KONTROL VARIABEL CONFOUNDING DI KABUPATEN BULELENG (STUDI KASUS: PUSKESMAS SUKASADA II) KADEK NOVIA DWIJAYANTHI; I GUSTI AYU MADE SRINADI; NI LUH PUTU SUCIPTAWATI
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.p055

Abstract

One indicator of the Human Development Index (HDI) is the Infant Mortality Rate (IMR). IMR is lower HDI showed a better area when compared with other regions for different values ??of the same indicators. This study aims to determine the relationship between the birth attendants birth status and confounding variables that affect the status of births in Buleleng regency, with Sukasada II health center located in District Sukasada - Buleleng regency as the location of the observed cases of infant mortality. Results of analysis using logistic regression showed that (1) birth attendants, (2) maternal age, and (3) income household heads have a real influence on the status of the baby's birth. Birth status with medical birth attendants have the opportunity to live 2,427 times compared with non-medical birth attendants with controlled variables maternal age and income of the family head.
PERLUASAN REGRESI COX DENGAN PENAMBAHAN PEUBAH TERIKAT-WAKTU LUH PUTU ARI DEWIYANTI; NI LUH PUTU SUCIPTAWATI; I WAYAN SUMARJAYA
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.p069

Abstract

The aim of this study is to model job hunting period in Bali in 2012 using Extended Cox model. Previous study concluded that household status and age variables were not significantly influenced the job hunting period. However, previous study on factors that influence job waiting suggests that both variables should play important role in determining the waiting time for job hunters. Thus incorporating time-dependent covariates into model is necessary. After incorporating time-dependent covariates we found that age with time-dependent covariate is significant.  
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.
IDENTIFIKASI FAKTOR YANG MEMENGARUHI ANAK PUTUS SEKOLAH DI KABUPATEN BADUNG NI KOMANG AYU SRI CAHYANI; NI LUH PUTU SUCIPTAWATI; KOMANG GDE SUKARSA
E-Jurnal Matematika Vol 8 No 4 (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.i04.p267

Abstract

School dropout is someone who has left school before she/he has finished her/his study. This research aims to identify the factors that affects school dropout in Badung Regency. The research method used is confirmatory factor analysis and obtained six factors that affects school dropout, namely the lack of interest and willingness of children to go to school, the view that school is considered unattractive by student, inability to take lessons, economic family, lack of parental attention, and children’s play environment. The results of factor analysis which shows that the most dominant factor that affects school dropout in junior high school level is lack of parental attention, in senior high school the factors are lack of interest and willingness of children to go to school.
PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI KOMANG AYU YULIANINGSIH; KOMANG GDE SUKARSA; LUH PUTU SUCIPTAWATI
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.p010

Abstract

This study aims to determine factors that influence the number of high/vocational school students that do not pass the examination in Bali in 2011. Factors that used in this study are the external factors include the proportion of  public high/vocational school, proportion of the classrooms high/vocational school have damaged, the proportion of high/vocational school teachers have certified, and the number of participants high/vocational school national examination. This study uses Poisson regression analysis. Poisson regression is included in the Generalized Linear Models and this is one of the regression analysis for count data models with Poisson distributed response variables. Poisson regression analysis methods assume the mean and variance of the response variables are equal. Response variable is said to be Poisson distributed and overdispersion not happen if the value of the ratio between the variance and the mean close to one and less than 2.5. Test results show the response variable in this study Poisson distributed and there is no overdispersion. The analysis showed that all four factors are independent variables in this study affect the response variable is the number of high school/vocational school students which do not pass the examination.
MODEL ANGKA PARTISIPASI SEKOLAH JENJANG SMA SEDERAJAT DI PROVINSI BALI NI LUH GEDE WIDIADNYANI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
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.p250

Abstract

Each distritcs in Bali Province has an uneven high school enrollment rate. The lowest of high school enrollment rate is Bangli Regency in 2012 at 41,99 percent and the highest is Klungkung Regency in 2014 at 91,49 percent. The purpose of this work is to modeling and determine the significant factors that affect the high school enrollment rate in Bali Province by applying panel data regression. The results show the suitable model is fixed effect model (FEM) that is fixed individual effect model and significant affect by HDI, the percentage of poverty, and gini ratio.
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 Hendarta, Hellena 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