Article Per Year (5 Year)
p-Index From 2021 - 2026
2.766
P-Index
This Author published in this journals
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 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

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Membangun Kesadaran Tindakan Anti Bullying Siswa SD Negeri 2 Belor Lufianti, Anita; Fitriani; Yuwanti; Nur Widayati, Christina; Rahmawati; Ragil Kusumaningrum, Yesita; Agustiana, Mika; Unggul Widodo, Wahyu; Novitasari, Dewi; Puspita Rini, Dea; Iffani Khoirunisa, Nur; Fitriyani, Nurul
Kolaborasi: Jurnal Pengabdian Masyarakat Vol 5 No 1 (2025): Kolaborasi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Inspirasi El Burhani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56359/kolaborasi.v5i1.482

Abstract

Introduction : The phenomenon of bullying that occurs in kids often involves agrresive behavior that can be repeated by a certain person or group against other individuals who are considered or have weaknesses so that they are unable to defend themselves. Objective: The purpose of this service is to build awareness of anti-bullying actions in elementary schools, negative impacts and tolerance attitudes in children Method: This public service was conducted by counseling method with lectures, discussions, role simulations so that it can provide a real picture and effective ways to prevent it in elementary school children. Result:. This activity resulted in an increase in participants' understanding of the impact of bullying and simple and effective steps to prevent bullying. Conclusion: The community service that has been carried out contributes to creating a safer elementary school environment for children and supports mental well-being for the school
Klasifikasi Penjualan Provider Pulsa di Kecamatan Masbagik Lombok Timur Menggunakan Metode Naïve Bayes Zulhan Widya Baskara; Musfita, Nurul; Fitriyani, Nurul; Baskara, Zulhan Widya
ESTIMASI: Journal of Statistics and Its Application Vol. 4, No. 2, Juli, 2023 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v4i2.27890

Abstract

The rapid development of technology causes the use of mobile phones and the need for pulses to increase. East Lombok is the area with the largest population in NTB and high users of information technology. East Lombok also has an internet network or smooth communication signal, which shows that there are many providers in the area. To see the types of providers that are widely used in Masbagik District, East Lombok, taking into account the largest population, a classification is made of whether these providers are in demand or not using the Naïve Bayes method. This study aims to determine the classification results and the accuracy of the sales classification of credit providers. The data is split into two categories: training data (90%) and testing data (10%). According to the findings of the study, 225 of the 309 testing data were correctly classified. The resulting APER value is 27.2%, which indicates that the accuracy of the classification results using the Naïve Bayes method is 72.8%. An AUC value of 0.804 was also obtained, which means that the accuracy of the classification of selling pulse providers that are in demand, moderately in demand, and not in demand was sufficient.
Pemanfaatan Artifical Intelligence sebagai Asisten Pendidik dalam Meningkatkan Kualitas Pembelajaran Pendidikan Agama Islam di Era Digital Fitriyani, Nurul; Azizah, Nur; Sodiq, Sodiq
Ainara Journal (Jurnal Penelitian dan PKM Bidang Ilmu Pendidikan) Vol. 6 No. 1 (2025): Ainara Journal (Jurnal Penelitian dan PKM Bidang Ilmu Pendidikan)
Publisher : Lembaga Penelitian dan Pengembangan Sumberdaya Wilayah (elrispeswil)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54371/ainj.v6i1.732

Abstract

Penelitian ini bertujuan untuk mengidentifikasi jenis-jenis Artificial Intelligence (AI) yang diterapkan dalam pembelajaran Pendidikan Agama Islam (PAI). Kemajuan teknologi saat ini telah memberikan kontribusi signifikan dalam berbagai aspek kehidupan, termasuk di bidang pendidikan. Teknologi tidak hanya berfungsi sebagai penunjang proses pembelajaran, tetapi juga berperan dalam mengubah metode pengajaran secara lebih interaktif dan adaptif. Salah satu bentuk teknologi yang relevan dalam konteks ini adalah AI, yang mampu menghadirkan pembelajaran yang dipersonalisasi, meningkatkan interaksi, serta memberikan pengalaman belajar yang lebih efektif dan efisien. Namun demikian, penerapan AI dalam pembelajaran PAI masih menghadapi berbagai tantangan, antara lain rendahnya literasi digital di kalangan pendidik, keterbatasan sarana dan prasarana, serta munculnya persoalan etis dan teologis terkait penerapan teknologi dalam konteks ajaran Islam. Oleh karena itu, pengelolaan penggunaan AI dalam pembelajaran PAI perlu dilakukan secara bijak, seimbang, dan sesuai dengan nilai-nilai pendidikan Islam. Penelitian ini menggunakan metode library research dengan mengkaji berbagai literatur yang relevan, seperti buku, jurnal, artikel, dan dokumen ilmiah lainnya. Hasil penelitian menunjukkan bahwa AI memiliki potensi besar dalam meningkatkan kualitas pembelajaran PAI jika diterapkan secara tepat dan selaras dengan prinsip-prinsip pendidikan agama.
Toxic Masculinity in the Sadfishing Phenomenon within the #LakiLakiTidakBercerita Hashtag: A Netnographic Study of TikTok Content from the Account @bimbluess Fitriyani, Nurul; Sadono, Teguh Priyo; Palupi, Merry Fridha Tri
CONVERSE Journal Communication Science Vol. 2 No. 1 (2025): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/converse.v2i1.4248

Abstract

Toxic masculinity is a form of gender injustice reflected through labeling and stereotypes toward men, especially when they attempt to express emotional vulnerability. This study explores how toxic masculinity is manifested in the sadfishing phenomenon on TikTok, particularly through the hashtag #LakiLakiTidakBercerita and user comments on the account @bimbluess. The phenomenon highlights a paradox in which men’s emotional openness is often met with responses that reinforce hegemonic masculinity norms. Using a qualitative approach through netnographic methods, this research analyzes digital user interactions as part of participatory media culture. The study is framed by standpoint theory and the concept of hegemonic masculinity to understand how gendered power structures operate in digital spaces. The findings reveal five key themes: (1) toxic masculinity as a generational emotional wound, (2) internalized masculine values as social consciousness, (3) fear of vulnerability and masculine performativity, (4) emotional self-sabotage, and (5) the burden of productivity seen as male destiny. These dynamics show how digital platforms can both challenge and reproduce gender norms.
Pressure Becomes Power: The Mediating Effect of Eustress on the Self-Efficacy to Performance Azzahra, Fariha; Fitriyani, Nurul; Rahayu, Indah
Journal Economic Business Innovation Vol. 2 No. 1 (2025): April
Publisher : Inovasi Analisis Data

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69725/jebi.v2i1.242

Abstract

Purpose: The present study examines the mediating role of eustress in the association between self-efficacy and employee performance to provide better input on involvement of psychological resources and positive stress to employee performance at work setting.Method: Census sampling, a quantitative method using SEM for data analysis via SmartPLS to assess direct and indirect relationships among variable.Findings: The results demonstrate that self-efficacy positively significantly influence employee performance and self-efficacy has a significant effect on eustress. In turn, eustress has a favorable effect on performance and mediates the link between self-efficacy and performance. Highly self-efficacious persons can rather convert job stress into active distress to elevate motivation, adjustment, and efficacy.Novelty: The aim of the paper is to introduce the concept of eustress to the self-efficacy performance stream of research and to provide empirical evidence that would suggest eustress mediates the link between self-efficacy and optimal performance, thus also serves as a psychological conduit that converts perceptions of human capability to actual performance.Implications: The results highlight the need for a supportive and demanding workplace and providing self-efficacy training. These departmental strategies would enhance sustained high performance of an organization and balance employee well-being.
Pelatihan Pembuatan Media Pembelajaran Matematika Interaktif Berbasis Microsoft Powerpoint di MA Attamimy Lombok Tengah Fitriyani, Nurul; Hadijati, Mustika; Harsyiah, Lisa; Baskara, Zulhan Widya
Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Vol. 3 No. 2 (2021)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmsi.v3i2.147

Abstract

Madrasah Aliyah (MA) Attamimy adalah yang berada di bawah naungan Yayasan Pondok Pesantren Attamimy. MA Attamimy ini memiliki visi dan misi untuk melahirkan manusia-manusia yang berimtaq, berakhlak mulia, serta mampu bersaing menghadapi tantangan zaman global. Pada dasarnya, MA Attamimy ini telah memilki fasilitas komputer beserta akses internet yang cukup memadai, namun penggunaannya belum digunakan secara maksimal. Masalah lain yang juga terjadi adalah munculnya istilah mathematics phobia di kalangan siswa di MA Attamimy. Beberapa kesan negatif mengenai ilmu sains dan matematika ini mengharuskan penyampaian materi dan proses pembelajaran di kelas harus dikemas semenarik mungkin. Tujuan dilakukannya kegiatan Pengabdian kepada Masyarakat ini adalah dalam rangka pemanfaatan internet dan Microsoft PowerPoint dalam membuat media pembelajaran yang interaktif. Berdasarkan kegiatan Pengabdian kepada Masyarakat yang dilakukan di MA Attamimy, perlu untuk dilakukan kegiatan lanjutan sebagai bentuk kesinambungan kegiatan. Microsoft PowerPoint sendiri telah dimanfaatkan dalam membuat media pembelajaran interaktif oleh peserta kegiatan Pengabdian kepada Masyarakat, hanya saja perlu ditingkatkan pemanfaatan fitur-fitur, salah satunya fitur hyperlink, sehingga dapat meningkatkan kualitas pembelajaran.
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 Janariah, Muhammad Luthfie Lufianti, Anita Muhammad Taufiqurrahman, Muhammad 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 Rediana Setiyani, Rediana Rizaldi, Muhammad Sadono, Teguh Priyo Saputra, Heri Seppewali, Andi Setiawana, Ena Setyawati, Diyah Pertywi Siroj, Sayyid Agil Sodiq, Sodiq Syamsul Bahri Toyyibah, Muslimatun Unggul Widodo, Wahyu Usman, Siti Dwi Khairun Rahmatin Yulia mustika, Rika Yuwanti Zebua, Sukriyadin Zulhan Widya Baskara