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All Journal Jurnal Matematika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI EIGEN MATHEMATICS JOURNAL Jurnal Gema Ngabdi Jurnal Varian Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Jurnal Dinamika Sosial Ekonomi Journal of Mathematics: Theory and Applications Prosiding Konferensi Nasional PKM-CSR Kajian Sastra Nusantara Linggau ( KASTRAL) Jurnal Riset Rumpun Agama dan Filsafat Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu Jurnal Intelek Insan Cendikia Indonesian Journal of Islamic Religious Education (INJIRE) Indonesian Science Education Journal (ISEJ) AL-Ikhtiar : Jurnal Studi Islam Lontar Komputer: Jurnal Ilmiah Teknologi Informasi International Journal of Computing Science and Applied Mathematics-IJCSAM
Nurul Fitriyani
Department Of Mathematics, Faculty Of Mathematics And Sciences, University Of Mataram Mataram, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Enhanced Performance of Dynamic Neural Network Model using Wavelet Activation Functions Syamsul Bahri; Lailia Awalushaumi; Nurul Fitriyani
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 14 No. 03 (2023): Vol. 14, No. 03 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p03

Abstract

Both static and dynamic adaptive neural networks have been broadly utilized in mathematical modeling and numerical analysis. This study aimed to enhance the accomplishment of Dynamic Neural Networks (DNN) models by applying wavelet functions as activation functions. Research that models and forecasts the intensity of solar radiation in Mataram City shows that combining B-Spline and Morlet wavelet activation functions can significantly increase the DNN model performance. Wavelet-DNN (W-DNN) was modeled with an identical architecture; the best showed the increase in the model achievement (0.7596 points for in-sample and 0.8502 points for out-sample data). Mainly for out-sample data, the model's performance using the W-DNN+ intervention model increased by 4.0492 points.
Developing MSMEs through Hongkong Caterpillar Cultivation Tanjung, Abdillah Rizki; Misrah; Nisa Syahrani; Nurul Fitriyani; T. Lailan Safinah
Jurnal Dinamika Sosial Ekonomi Vol. 26 No. 2 (2025): Jurnal Dinamika Sosial Ekonomi
Publisher : Agribusiness Department, Faculty of Agriculture, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jdse.v26i2.16260

Abstract

This study analyzes the development strategy of Hong Kong caterpillar cultivation MSMEs (Tenebrio molitor) in Suka Makmur Village, Lalat Regency. With a qualitative approach of case studies on 10 selected respondents, data was collected through interviews, observations, and documentation, and then analyzed thematically. The results showed an average production of 65–75 kg per cycle with an initial capital of IDR 1,500,000. The running nucleus-plasma partnership pattern is asym-metrical, limiting market access and profit margins for farmers, although local innovations in feed and reinvestment support business sustainability. The main obstacles include limited capital, dependence on one core partner, and low digital marketing competence. On the other hand, these efforts contribute to increasing income, job creation, and converting organic waste into fertilizer. As a recommendation, the development strategy is focused on increasing human resource capacity, product diversification, digital marketing, and expanding access to financing and market networks to support the independence and competitiveness of MSMEs.
Analisis Manajemen Pelayanan Publik Lintas Agama dan Tata Kelola Kepegawaian: (Studi Kolaboratif Magang Mahasiswa UIN Sumatera Utara di Kemenag Kota Medan) Annisa Ulfa Andriani; Sahdin Hasibuan; Widia Lestari; Nurul Fitriyani; Indana Sephia Citra
Jurnal Riset Rumpun Agama dan Filsafat Vol. 3 No. 2 (2024): Oktober: Jurnal Riset Rumpun Agama dan Filsafat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrafi.v3i2.8648

Abstract

This internship program aimed to provide practical experience for students from Universitas Islam Negeri Sumatera Utara in understanding public service management across religious communities and personnel governance within government institutions. The internship took place at the Office of the Ministry of Religious Affairs of Medan City, an institution playing a strategic role in delivering religious services and managing civil servants. The main focus of this study was on cross-religious public services and the implementation of personnel management systems. The findings indicate that the Ministry of Religious Affairs of Medan City applies principles of fairness, tolerance, and professionalism in delivering cross-religious public services, supported by an organized and structured personnel governance system. This internship offers significant benefits to students by enhancing their practical knowledge, administrative skills, and professional attitudes, especially in handling diversity within the public sector. By experiencing the management of public services and personnel governance, students gained valuable insights into the operational challenges and strategies employed in the public administration of religious affairs.
Metaheuristic Search in Mixed Kernel and Spline Truncated Non-parametric Regression Mustika Hadijati; Irwansyah Irwansyah; Nurul Fitriyani; Muhammad Sopian Sauri
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 11 No. 2 (2025)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v11i2.8841

Abstract

Non-parametric regressions are widely used in data analysis because of their flexibility. Apart from their applicability, it is not easy to find the optimal parameters of the corresponding non-parametric models. This situation is caused by the nonexistence of a closed formula of the optimal parameters. In this paper, we propose a metaheuristic approach for optimal parameter search in mixed kernel and truncated spline and kernel regression. Moreover, we provide examples on how to implement the proposed algorithm to both real and simulated datasets. The results indicate that the algorithm yields highly accurate predictions for mixed truncated spline and kernel regression models.
Estimasi Parameter Model Moving Average Orde 1 Menggunakan Metode Momen dan Maximum Likelihood Nirwana Nirwana; Mustika Hadijati; Nurul Fitriyani
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 Muslimatun Toyyibah; Desy Komalasari; Nurul Fitriyani
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.
Modelling the Recovery of Malaria Patients in West Lombok District Using Cox Regression Siti Dwi Khairun Rahmatin Usman; Mustika Hadijati; Nurul Fitriyani
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.
Pemodelan Tingkat Pengangguran Terbuka di Indonesia Menggunakan Analisis Regresi Data Panel Ena Setiawana; Nurul Fitriyani; Lisa Harsyiah
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 Muhammad Rizaldi; Nurul Fitriyani; Zulhan Widya Baskara
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 Abdillah Rizki Tanjung Agus Kurnia Akhmed Syarifatul Raflus Alfira Sofia Rahayu Amalia Chairunissa Annisa Ulfa Andriani Atma Utami Sawitri Baiq Urfa Justitiaski Bidayani Bidayani Dalmeri Deni Pratiwi Desy Komalasari Desy Komalasari Dini Wijayanti Ema Syaidah Ena Setiawana Ena Setiawana Erry Esa Aprilliansyah Harsyiah, Lisa Himayati Himayati Husnul Arini I Gde Ekaputra Gunartha I Gede Ekaputra Gunartha I Nyoman Budiantara Indana Sephia Citra Irwansyah Irwansyah Jamaluddin Joji Ardian Pembargi Jurnal Pepadu Jusmawati Jusmawati Komarudin Lailia Awalushaumi Lailia Awalushaumi Lalu Abd Azis Mursy Lisa Harsyiah Moudy Puspita Ayudhiah Muhamad Aditio Apriesta Suharto Muhammad Rijal Alfian Muhammad Rizaldi Muhammad Rizaldi Muhammad Sopian Sauri Muhammad Sopian Sauri Muslimatun Toyyibah Mustika Hadijati Mustika Hadijati Ni Luh Putu Dewi Wikayanti Ni Wayan Switrayni Nirwana Nirwana Nisa Syahrani Nurhafizah Oca Qurratul Aini Riski Aprilia Rosanti W. ahidatussolihah Sahdin Hasibuan Salwa Salwa Sapurah Sapurah Siti Dwi Khairun Rahmatin Usman Siti Wulandari Sri Wati Agustini Syamsul Bahri Syamsul Bahri T. Lailan Safinah Tanjung, Abdillah Rizki Ulfa Destiarina Zulhan Widya Baskara