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All Journal EkoBis ( Ekonomi & Bisnis ) Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Economic Education Analysis Journal Jurnal Aplikasi Statistika & Komputasi Statistik EIGEN MATHEMATICS JOURNAL Indonesian Physical Review Jurnal Matematika UNAND Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) Ainara Journal (Jurnal Penelitian dan PKM Bidang Ilmu Pendidikan) Jurnal Pengabdian Masyarakat (ABDIRA) Environmental Pollution Journal Kolaborasi Jurnal Pengabdian Masyarakat Mudabbir: Journal Research and Education Studies Linggau Journal Science Education (LJSE) CONVERSE Journal Communication Science Journal Economic Business Innovation
Nurul Fitriyani
Sekolah Farmasi ITB, Jl. Ganesha 10. Bandung – 40132
Religion Aerospace Engineering Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : EIGEN MATHEMATICS JOURNAL

 1 
Modelling the Recovery of Malaria Patients in West Lombok District Using Cox Regression Usman, Siti Dwi Khairun Rahmatin; Hadijati, Mustika; Fitriyani, Nurul
Eigen Mathematics Journal Vol 6 No 2 (2023): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v6i2.173

Abstract

Malaria is one of the health problems in West Lombok Regency. There are 413 positive malaria cases, so it is necessary to research the models and factors affecting malaria sufferers' recovery. The analysis used is survival analysis using the Cox Proportional Hazard Regression method. The data used in this study is in the form of secondary data obtained from medical record data from all patients with malaria disease in West Lombok Regency from 2019 to 2020, with dependent variables in the form of recovery time of malaria patients and nine independent variables that are suspected of affecting the recovery of malaria sufferers. This study aims to determine a recovery model for malaria sufferers based on Cox regression and determine the factors that influence the recovery of malaria sufferers in West Lombok Regency. Based on the survival analysis results with the Cox Proportional hazard Regression method, the best model was obtained with two significant variables affecting the recovery time of malaria patients: the parasite type variable and the incidence of pregnancy or not getting pregnant. The model can be interpreted based on hazard ratio values that the variable type of parasite category Plasmodium vivax has a probability of being able to recover within one month of treatment by 2,542 times faster than Plasmodium falciparum. In comparison, the type of parasite in the Plasmodium mix category has a probability of being able to recover within one month of treatment 1.108 times faster than Plasmodium vivax,  and for the pregnant or non-pregnant variables for the category of pregnant patients had a 2,307 times faster probability of recovery within one month of treatment compared to non-pregnant patients.
Estimasi Parameter Model Moving Average Orde 1 Menggunakan Metode Momen dan Maximum Likelihood Nirwana, Nirwana; Hadijati, Mustika; Fitriyani, Nurul
Eigen Mathematics Journal Vol 1 No 1: Vol 1 No 1 Juni 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (352.181 KB) | DOI: 10.29303/emj.v1i1.8

Abstract

Autoregressive Integrated Moving Average is a model that commonly used to model time series data. One model that can be modeled is Moving Average (MA). In this study, the estimation of parameters was performed to produce the model estimator parameter, where if the order component of the MA model is known, then the methods that can be used are the Ordinary Least Square (OLS) method, Moment method, and Maximum Likelihood method. But in fact, there are often assumption deviations when using the OLS method, one of which occurs heteroscedasticity (variant is not constant) which is produce a poor estimator. This study used both Moment and Maximum Likelihood method in estimating the parameter of the 1st Moving Average model, denoted by MA (1). The result showed that MA (1) parameter model using Moment method gave better result than Maximum Likelihood method. This can be seen from the value of Schwartz Bayesian Criterion (SBC) of both Moment and Maximum Likelihood method parameter estimator with magnified amount of data and various parameters values generated.
Small Area Estimation Jumlah Penderita Penyakit TBC di Kabupaten Lombok Timur Menggunakan Metode Empirical Bayes Toyyibah, Muslimatun; Komalasari, Desy; Fitriyani, Nurul
Eigen Mathematics Journal Vol 1 No 1: Vol 1 No 1 Juni 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (259.033 KB) | DOI: 10.29303/emj.v1i1.9

Abstract

Empirical Bayes is one of small area estimation method that can be used to predict small area parameters. The small area is defined as a subpopulation of small sample sizes. Empirical Bayes is suitable for use in counted data with Poisson-Gamma model. The purpose of this research was to determine the sub-districts that have the highest risk in the number of people with TBC disease in East Lombok Regency. Based on the results, the analysis showed that sub-districts with the highest risk were Sukamulia Sub-district with 1.65543 value of relative risk in 2014, Sambelia Sub-district with 1.80396 value of relative risk in 2015, and Sambelia Sub-district with 4.12718 values ov relative risk in 2016.
Pemodelan Tingkat Pengangguran Terbuka di Indonesia Menggunakan Analisis Regresi Data Panel Setiawana, Ena; Fitriyani, Nurul; Harsyiah, Lisa
Eigen Mathematics Journal Vol 7 No 1 (2024): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i1.184

Abstract

Indonesia has entered the peak of the demographic bonus which can provide positive and negative impacts for various fields. One of them is in the economic field, namely the increasing number of productive population who are unabsorbed in the world of work and is referred to as an open unemployment. This research was conducted to build a model and to analyze the Open Unemployment Rate, Economic Growth, Provincial Minimum Wage, Level of education, Population growth, Labor Force Participation Rate, Employment, Human Development Index, Poor Residents, Illiterate Population, Average Length of School, Domestic Investment, Foreign Investment, and School Participation Rate, that influence the open unemployment rate in Indonesia using panel data regression analysis with data 2015-2021 from 34 provinces. A fixed effect model with different intercept values for every participant is the best panel data regression model (Fixed Effect Model) that could be found. Based on simultaneously research, it was discovered that every component of the model significantly effect the open unemployment rate. Partially, it was discovered that the following factors significantly effect the open unemployment rate in Indonesia: Employment, Labor Force Participation Rate, Economic Growth, Population Growth, Human Development Index, Poor Population, and Average years of Schooling.
Modeling of Economic Growth Rate in West Nusa Tenggara Province with Longitudinal Kernel Nonparametric Regression Zulhan Widya Baskara; Rizaldi, Muhammad; Fitriyani, Nurul; Baskara, Zulhan Widya
Eigen Mathematics Journal Vol 7 No 1 (2024): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i1.188

Abstract

Economic growth can indicate the success of economic development in people's lives, so it is essential to study the relationship between economic growth and factors that affect economic growth. Regression analysis is one of the most widely used statistical data analysis methods to determine the relationship pattern between the independent and dependent variables. Three methods can be used to estimate the regression curve, one of which is nonparametric regression. Economic growth data is one form of longitudinal data, with observations of independent subjects, with each subject being observed repeatedly over different periods. Kernel nonparametric regression model applications can be used for longitudinal data. This research aims to estimate the curve and get the best regression model. In this research, the smoothing technique chosen to estimate the nonparametric regression model for longitudinal data is the kernel triangle estimator, which can be obtained by minimizing the square of error using Weighted Least Squares (WLS) and selecting the optimum bandwidth using the Generalized Cross Validation (GCV) method. This study uses the economic growth rate in West Nusa Tenggara as the dependent variable and the human development index, population density, general allocation funds, local revenue, and labor force participation as independent variables. The result showed that the model is less accurate because of the low value of the coefficient for determination and the high value of the mean absolute percentage error (MAPE). This can be caused by the selection of bandwidth intervals that are too small.
Co-Authors Agustiana, Mika Arizal, Mulyasrihuda Asrirawan, Asrirawan Azzahra, Fariha Bagus Cahyo Shah Adhi Pradana Desy Komalasari Devi, Baisati Mariam Dewi Novitasari Fitriani Gustini, Leili Kurnia Hairunnisa Hairunnisa Harsyiah, Lisa Herlina, Andiani Iffani Khoirunisa, Nur Iis Mariam Indryansa, Afiva Janariah, Muhammad Luthfie Kristianti, Theresia Lufianti, Anita Muhammad Taufiqurrahman, Muhammad Munthe, Ratna Sari Musfita, Nurul Mustika Hadijati Nirwana, Nirwana Nur Azizah Nur Widayati, Christina Palupi, Merry Fridha Tri Prameswari, Dita Prasetyo, Dio Puspita Rini, Dea Putra, Bihmuyidin Colisna Ragil Kusumaningrum, Yesita Rahayu, Indah Rahmawati Ramadan Lazuardi, Dian Rediana Setiyani, Rediana Rizaldi, Muhammad Sadono, Teguh Priyo Saputra, Heri Seppewali, Andi Setiawana, Ena Setyawati, Diyah Pertywi Siroj, Sayyid Agil Sodiq, Sodiq Syahrani, Nisa Syamsul Bahri Tanjung, Abdillah Rizki Toyyibah, Muslimatun Unggul Widodo, Wahyu Usman, Siti Dwi Khairun Rahmatin Yulia mustika, Rika Yuwanti Zebua, Sukriyadin Zulhan Widya Baskara