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All Journal Cakrawala Pendidikan Jurnal Studi Jender SRIKANDI Jurnal Matematika PIRAMIDA Buletin Udayana Mengabdi E-Jurnal Matematika Udayana Journal of Social Sciences and Humanities (UJoSSH) Innovative: Journal Of Social Science Research Public Service And Governance Journal
Desak Putu Eka Nilakusmawati
Mathematics Department, Faculty Of Mathematics And Natural Sciences, Udayana University
Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : E-Jurnal Matematika

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FAKTOR-FAKTOR YANG MEMPENGARUHI PERILAKU MEROKOK PADA REMAJA USIA 15-19 TAHUN DI KUTA SELATAN IYOS ALFRANTA SURBAKTI; MADE SUSILAWATI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 12 No 4 (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.i04.p432

Abstract

Adolescence is a period of change in emotional, physical, interests and behavior patterns. Teenagers begin to leave childish attitudes and behavior and begin to show the ability to behave maturely. This smoking behavior can cause various negative impacts on adolescents both in terms of health, economics, social and psychological. This study aims to analysis what factors cause adolescents to smoke. The method used in this research is exploratory factor analysis. Based on the results of factor analysis, four factors were obtained that influenced smoking behavior among adolescents in South Kuta, namely psychological factors, advertising factors, knowledge factors, and family environment factors. These four factors are able to explain the factors that influence smoking behavior in adolescents in South Kuta by 64.667%.
PENERAPAN METODE SUPPORT VECTOR REGRESSION (SVR) DENGAN ALGORITMA GRID SEARCH DALAM PERAMALAN HARGA SAHAM NI PUTU SRI YULI ARTINI; I WAYAN SUMARJAYA; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 13 No 2 (2024)
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.2024.v13.i02.p447

Abstract

Stocks are the investment that is much in demand by investors because they are able to provide a high level of profit with a certain risk. Therefore, stock price forecasting is very important to maximize investment returns. The purpose of this study was to forecast stock prices using the support vector regression (SVR) method by utilizing linear, RBF, sigmoid, and polynomial kernel functions. Parameter optimization is carried out using a grid search algorithm that applies the concept of cross validation. After training and testing the model, the best SVR model is obtained using a polynomial kernel with parameters , , and , which produces an accuracy of 0,99211, RMSE of 0,01027, and MAE of 0,00723 on the training data and produces an accuracy value of 0,99389, RMSE of 0,01988, MAE of 0,01323, and MAPE of 0,02709 on data testing. Forecasting results for the next 85 periods using the best SVR model have a MAPE of 6,45%, this means that the SVR model obtained is able to predict closing stock prices much better than the ARIMA model which has a MAPE of 20,68%.
ANALISIS VARIABEL INDEKS PEMBANGUNAN MANUSIA MENGGUNAKAN ANALISIS REGRESI LINIER BERGANDA DI PROVINSI JAWA TIMUR SARIFUL MUNAWAROH; G.K. GANDHIADI; DESAK PUTU EKA NILAKUSMAWATI
E-Jurnal Matematika Vol 12 No 4 (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.i04.p431

Abstract

According to the Central Statistics Agency, HDI is formed by three basic dimensions, namely life expectancy, knowledge, decent living standards. So researchers are interested in analyzing the influence of these 3 basic dimensions on HDI using multiple linear regression analysis. By determining the independent variables and dependent variables, human development index data in East Java in 2021. Then determining the estimated value of the multiple regression model. Next, carry out testing, starting with a simultaneous test. After that, a partial test (t test) was carried out. Then the classical assumption test is carried out, which is a statistical requirement that must be met in multiple linear regression analysis. In multiple regression analysis, classic assumption tests are carried out, including the normality test, multicollinearity test and heteroscedasticity test. Then look at the coefficient of determination value to find out how far the model is able to explain variations in the dependent variable. The final step in this research is to interpret the model with multiple linear regression, namely to see and explain the results of the best model analysis and find out the independent variable that has the most significant influence on the dependent variable. Research data analysis was carried out using SPSS software. The multiple linear regression model formed in the analysis of the human development index in East Java obtained a contribution value from the independent variable and the dependent variable of 99.7%.
Co-Authors A.A DWI MARSITA ANGGRAENI Adi Ningtias, D. Novia AGUSTINA PAULA THERESIA PUTRI LAHALLO AGUSTINUS ANGELAUS ETE Andini Ni Kadek DAIMATUL KHOIRIYAH Desak Made Kutha Adhya Wagiiswari DEVI NANDITA. N DEWA AYU AGUNG PUTRI RATNASARI EKA ARISTA ANJASARI EKA VIRGIA PURWANTI ELVINA LIADI G. K. GANDHIADI G.K. GANDHIADI Gde Nitiyasa I Gede Arsana Wijaya I GEDE BAGUS PASEK SUBADRA I GEDE GANDEVA UMBARA I Gusti Ayu Agung Citra Santika Dewi I Gusti Ayu Made Srinadi I GUSTI NGURAH ARYA WANAYASA I KOMANG GDE SUKARSA I NYOMAN BRYAN ANDIKA I Nyoman Widana I Putu Eka Nila Kencana I PUTU OKA PARAMARTHA I Wayan Sumarjaya ICHA WINDA DIAN SAFIRA Ida Ayu Agung Diah Janawati Indah Wulantari, A.A. Istri INTAN LESTARI Ita Wulandari, Ni Gusti Ayu IYOS ALFRANTA SURBAKTI JOKO HADI APRIANTO K. Sari KADEK ANDREI PRABAWA Komang Dharmawan L. G. Astuti LIA JENITA LUH PUTU IDA HARINI LUH PUTU SAFITRI PRATIWI LUSIA EMITRIANA MAGOL M Susilawati Made Susilawati Merylin Rafael Sitohang MUHAMAD RIFAI NI KADEK LESTARI PUTRI Ni Ketut Tari Tastrawati NI LUH PUTU RATNA DEWI Ni Luh Putu Suciptawati Ni Made Asih Ni Made Puspawati NI PUTU SRI YULI ARTINI NISA HIDAYATI PUTRI DAMEYANTI RAIN FERNANDO BANGUN SARIFUL MUNAWAROH SITTI HAJAR TJOKORDA GDE AGUNG FRISKA ADNYANA ZAKIAH NURLAILA