Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal EDUMATIC: Jurnal Pendidikan Informatika Community: Jurnal Pengabdian Pada Masyarakat
Zahrah, Febrina Nabila
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Machine Learning untuk Deteksi Stres Pelajar: Perceptron sebagai Model Klasifikasi Efektif untuk Intervensi Dini Zahrah, Febrina Nabila; Muljono, Muljono
Jurnal Pendidikan Informatika (EDUMATIC) Vol 8 No 2 (2024): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v8i2.28011

Abstract

Stress is a serious challenge for students that can negatively impact physical health, mental well-being, and academic performance. However, accurate and effective stress detection approaches to support early intervention are still limited. This study aims to evaluate machine learning models for detecting student stress levels with optimal accuracy to facilitate early intervention. The research employs a quantitative approach using a dataset containing 1,100 student samples from Nepal, encompassing 20 stress-related features from psychological, social, academic, environmental, and physiological aspects. Data were collected via a self-report questionnaire, processed with StandardScaler scaling, and analyzed using 10-fold cross-validation. The models tested include Perceptron, Gradient Boosting Trees Classifier (GBTC), Naive Bayes (NB), Logistic Regression (LR), and AdaBoost. The results show that Perceptron performed the best with an accuracy of 97.27%, followed by NB (95.45%), GBTC (94.54%), LR (94.54%), and AdaBoost (93.63%). Perceptron, with its advantage in linearity and evaluation through 10-fold cross-validation, shows great potential as an effective classification model for student stress detection, which can accelerate early intervention and enhance student well-being and learning environments.
Pembuatan Desain Logo Sebagai Ikon Baru Bagi Kampung Batik Rejomulyo Semarang Trisnapradika, Gustina Alfa; Nusantara, Hanif Setia; Dewi, Dinar Pitania; Zahrah, Febrina Nabila; Widyawati, Femmi; Putra, Ricky Primayuda
Community : Jurnal Pengabdian Pada Masyarakat Vol. 3 No. 3 (2023): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/community.v3i3.416

Abstract

Kampung Batik Rejomulyo, sebuah kampung yang memiliki warisan seni budaya dan kerajinan batik yang kaya. Dalam konteks globalisasi dan persaingan ketat, pengembangan dan promosi kampung batik ini diperlukan untuk menjaga relevansi dan daya saingnya. Salah satu caranya melalui pembuatan desain logo yang akan dijadikan ikon baru kampung tersebut. Logo ini bertujuan untuk meningkatkan pengenalan produk batik semarangan, serta dapat menjadi aset berharga untuk strategi branding produk batik semarangan di Kampung Batik Rejomulyo. Harapan dari penggunaan logo baru ini dapat memberikan identitas yang kuat bagi Kampung Batik Rejomulyo, tidak hanya di tingkat lokal tetapi juga secara nasional maupun internasional.
Co-Authors Dewi, Dinar Pitania Muljono Muljono Nusantara, Hanif Setia Putra, Ricky Primayuda Trisnapradika, Gustina Alfa Widyawati, Femmi