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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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PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA NI LUH SUKERNI; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI
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.p212

Abstract

The study is aimed to estimate the best spline regression model for toddler’s weight growth patterns. Spline is one of the nonparametric regression estimation method which has a high flexibility and is able to handle data that change in particular subintervals so thus resulting in model which fitted the data. This study uses data of toddler’s weight growth at Posyandu Mekar Sari, Desa Suwug, Kabupaten Buleleng. The best spline regression model is chosen based on the minimum Generalized Cross Validation (GCV) value. The study shows that the best spline regression model for the data is quadratic spline regression model with six optimal knot points. The minimum GCV value is 0,900683471925 with the determination coefficient equals to 0,954609.
PENERAPAN REGRESI ZERO INFLATED GENERALIZED POISSON (ZIGP) PADA DATA OVERDISPERSION NI WAYAN AMANDA DEWI SULISTYANINGSIH; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 8 No 1 (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.i01.p228

Abstract

Zero Inflated Generalized Poisson (ZIGP) is a regression model used to analyze Poisson distributed discrete data which contains mostly zero and tends to experience overdispersion (varians value greater than the mean value). The purpose of this research is to find out the best model and the factors which influence the maternal mortality in Bali Province in year 2016 by using ZIGP regression model. The data used in this research was data from health profile Bali Province with the object totally 57 district rate data has proportion of zeros value more than 50% on the response variable. The analysis result of ZIGP data on maternal mortality cannot modeled using the ZIGP so ZIGP regression model became ZIP model . The best model which resulted from ZIP regression got one free variable which have significant impact towards the total number of maternal mortality. This significant variabel is the percentage of mother did visiting to K1.
PERAMALAN HARGA BITCOIN DENGAN METODE SMOOTH TRANSITION AUTOREGRESSIVE (STAR) I GEDE MAHA HENDRA PRATAMA; I WAYAN SUMARJAYA; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 11 No 2 (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.i02.p367

Abstract

One of the spectacular advances in technology in the economic field is the cryptocurrency it created. The fluctuating price of Bitcoin, is widely used as a means of making profit. The time series forecasting method that can be used for the case of nonlinear time series data such as Bitcoin data is the smooth transition autoregressive (STAR) model. STAR is an extension of the autoregressive model for nonlinear time data. The purpose of this study is to obtain the results of forecasting Bitcoin price data for the next 2 two months using the STAR method. The data used in this study is Bitcoin daily price data from September 2017 to April 2021. To estimate the STAR model, several things that must be determined are the autoregressive model, transition variables, and transition functions. If the STAR model has been estimated, forecasting will be carried out for the next 2 months, which results in the forecast for the highest Bitcoin price falling on June 30, 2021 and the lowest Bitcoin price falling on May 1, 2021.
PENGARUH KUALITAS, HARGA, DAN CITRA PRODUK TERHADAP KEPUASAN DAN LOYALITAS REMAJA PENGGUNA EMINA DI BALI KADEK ANDRIANI DWI PRATIWI; G.K. GANDHIADI; NI LUH PUTU SUCIPTAWATI
E-Jurnal Matematika Vol 11 No 4 (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.i04.p385

Abstract

Customer satisfaction in using cosmetic products is influenced by many factors. Emina Cosmetics is one of the local cosmetic products that is well known to the public because the products produced are safe and reliable so that it can create customer satisfaction and affect customer loyalty to continue using these cosmetic products. The purpose of this study was to determine the effect of quality, price, and product image on satisfaction and loyalty of Emina cosmetic users. This study uses a variant-based structural equation model (PLS-SEM). The latent variable in this study is customer satisfaction which is explained by product quality, price, and product image as well as customer loyalty. Data were obtained from 120 female adolescent respondents in Bali Province in each district/city. Based on PLS-SEM, showed that the quality, price, and image of the product affected customer satisfaction by of 77,2%, and customer satisfaction affected customer loyalty in using Emina Cosmetic products by 42,5%.
IDENTIFIKASI FAKTOR YANG MEMENGARUHI GINI RATIO DI INDONESIA GUSTI AYU MADE CANDRA RINI; NI LUH PUTU SUCIPTAWATI; IDA AYU PUTU ARI UTARI
E-Jurnal Matematika Vol 11 No 3 (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.i03.p376

Abstract

Inequality in income distribution is one of the problems that are often experienced by some countries in the world. Income inequality in Indonesia is measured by an indicator named Gini Ratio. BPS Indonesia noted that in March 2021, the Gini Ratio in Indonesia was 0,384. This figure shows that Indonesia belongs to the category of moderate income inequality, which means that income in Indonesia is not well distributed or there is an inequality in income distribution. For this reason, the inequality that occurs needs to be decreased by recognizing the factors that affect it. The purpose of this study was to determine the factors that significantly affect the Indonesia’s Gini Ratio in 2016-2020 by applying panel data regression. The results show that the model chosen to represent the Indonesia’s Gini Ratio in 2016-2020 is a fixed time effect model with of 40,282%, which is significantly be affected by the human development index, population, open unemployment rate, percentage of poor people, and average hourly wage for worker.
METODE ANALISIS REGRESI SPASIAL DALAM MEMODELKAN KASUS COVID-19 DI INDONESIA NI MADE PUSPASARI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
E-Jurnal Matematika Vol 11 No 3 (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.i03.p377

Abstract

Covid-19 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2. The transmission of Covid-19 has negative impact on every aspect. This study aimed to determine the factors that significantly affect the number of Covid-19 cases in Indonesia. Spatial regression analysis was used as the research method. The results obtained that on the dependent variable there is a spatial dependence, so the selected model is Spatial Autoregressive Model (SAR) with an AIC value of 759.09 and an value of 58.49%. The significant influencing factor is proportion of the population over 50 years old and open unemployment rate.
MEMODELKAN PRODUK DOMESTIK REGIONAL BRUTO DI INDONESIA MENGGUNAKAN REGRESI DATA PANEL SPASIAL NI KADEK AYU PUJI ASTUTI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
E-Jurnal Matematika Vol 11 No 3 (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.i03.p379

Abstract

Gross regional domestic product (GRDP) is one of the important indicators to determine economic conditions in a region. The magnitude of the growth rate of GRDP is developed by the progress of regional economic development, both carried out by the government and the private sector in order to improve the welfare of the population. The purpose of this study is to examine the business sector that has the most significant influence on GRDP in Indonesia by applying spatial panel data regression. The results show that the best model in modeling GRDP in Indonesia is the spatial lag common effect which has an value of 83,13% while the independent variables that are significant to the increase in GRDP can be divided into two, namely significant positive and significant negative effects. The variables that have a significant and positive effect on GRDP are agriculture, forestry, and fisheries , mining and quarrying electricity and gas supply, water supply, waste management, waste and recycling, construction, financial services and insurance, real estate, and other services. wholesale and retail trade; car and motorcycle repair, transportation and warehousing, company services education services .
MEMODELKAN PROFITABILITAS BANK BPD DI INDONESIA I WAYAN RIAN PRATAMA; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
E-Jurnal Matematika Vol 11 No 4 (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.i04.p384

Abstract

Bank in general have a function to move economy of a country, so they required to be in good physical condition in order to execute their purposes directly. The value of bank performance and soundness level can be measured using several ratios, one of which is net interest margin (NIM). NIM in Indonesia’s Bank until 2019 is the highest among ASEAN countries. The purpose of the research is modeling also determining the significant factors that affect the profitability of Bank for Regional Development (BPD) in Indonesia. The results show that the chosen model to model the open unemployment rate in Indonesia is a panel data model with the effect of time with of 32.47% and significant affect by BOPO.
PENERAPAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA KASUS PENYAKIT COVID-19 DI PROVINSI BALI NI LUH PUTU SUCIPTAWATI; NI MADE SRI SUGIANTARI; MADE SUSILAWATI
E-Jurnal Matematika Vol 12 No 1 (2023)
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.2023.v12.i01.p393

Abstract

COVID-19 has spread widely to all parts of the world, including Indonesia. Bali is included in the top ten with the highest number of COVID-19 cases in Indonesia. The spread of COVID-19 is thought to be influenced by various factors in each location that cause spatial heterogeneity. The method that can be used to analyze if there is spatial heterogeneity is Geographically Weighted Regression (GWR). This study aims to model the factors that influence the number of COVID-19 cases in Bali. The results showed that the GWR model with the adaptive kernel bisquare weighting function was more suitable to be used to model the number of COVID-19 cases in Bali because it had the largest value of 96.36%. The factors that influence the number of COVID-19 cases in Bali are population density and the population aged 20-44 years old.
IMPLEMENTASI METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA KASUS DIARE BALITA DI PROVINSI JAWA TIMUR FELINA CHANTIKA PUTRI; NI LUH PUTU SUCIPTAWATI; MADE SUSILAWATI
E-Jurnal Matematika Vol 12 No 2 (2023)
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.2023.v12.i02.p405

Abstract

Spatial regression is an extension of classical regression analysis by considering spatial elements of spatial elements. One of the model of spatial regressions is the Geographically Weighted Regression (GWR). In the analysis, the GWR method considers the differences in characteristics between regions (spatial heterogeneity). Diarrhea cases in toddlers can be modeled using the GWR model. This research aims to model and identify factors that significantly influence diarrhea cases in toddlers in each district in East Java Province in 2020 using GWR. There are two weighting functions used in this research that are fixed bisquare kernel and adaptive bisquare kernel. The results showed that the GWR model with the adaptive kernel bisquare weighting function was more suitable because it produced the highest value of 79.29%. The factors that have a significant effect in each district are different and the dominant factor is the provision of vitamin A to toddlers.
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