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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Jambura Journal of Electrical and Electronics Engineering Journal of Progressive Information, Security, Computer and Embedded System
Nur Fadilah
Universitas Megarezky Makassar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Rancang Bangun Sistem Penilaian Tes Essai Berbasis Web Di Testing Center UNM Nur Fadilah; Satria Gunawan Zain
Progressive Information, Security, Computer, and Embedded System Vol. 2, No. 1 Maret (2024)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v2i1.296

Abstract

This research is a web-based assessment system design that aims to build a web essay grading system at the UNM Testing Center. This study utilizes Research and Development (RnD) methods in the field of software engineering and uses  the Prototype model  in the system development process, as well as conducting software quality checks based on ISO 9126 standards involving four main aspects, namely functionality, reliability, portability, and usability. The result of this study is a web-based essay test scoring system at the UNM Testing Center. The results of the examination of the sub-characteristics of the accessory  and suitability functions  showed a conformity rate of 85%. For part security characteristics, the system has been tested and free of malware, website blacklisting, injected SPAM, defacement, and SQLInjection. In terms of reliability, the system is considered feasible with a feasibility percentage of 98.87%. The portability test  showed a feasibility rate of 96.33%, while the usability test  showed a feasibility rate of 81.43%.
Analysis of Opinion Classification on Marriage Based on Support Vector Machine and Multi-Layer Perceptron Nur Isma; Lutfiah Tri Syahyaningsih; Dewi Fatmarani Surianto; Nur Fadilah
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.29616

Abstract

Marriage is an important aspect of social life that is influenced by cultural changes and public opinion, especially in the digital age. Public opinion on marriage is now widely disseminated through social media, both from traditional and modern perspectives. This study aims to classify public opinions on marriage using the Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) algorithms. The data used consists of 1,003 comments collected from social media. The study was conducted using two different approaches: stemming and data augmentation, which involves increasing the training data by modifying the original data to improve model performance. The results show that in the first approach, SVM achieved an accuracy of 77%, while MLP improved from 75% to 76% without stemming. In the second approach, data augmentation without stemming provided a significant improvement in accuracy, with SVM reaching 93% and MLP reaching 96%. Wordcloud visualization also highlights the importance of removing stopwords to reduce noise in the data. These findings indicate that data augmentation is an effective strategy for improving the performance of opinion classification models. This research contributes to the field of social sentiment analysis using machine learning approaches and is expected to serve as a reference for formulating policies aimed at improving marriage quality and family stability in Indonesia.
Co-Authors Dewi Fatmarani Surianto Lutfiah Tri Syahyaningsih Nur Isma