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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Sains dan Informatika Jurnal Ilmiah Matrik
Qurrotul Aini
UIN Syarif Hidayatullah Jakarta
Computer Science & IT Electrical & Electronics Engineering Engineering Mathematics

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Aspect-based Sentiment Analysis: A Bibliometric Review using Bibliometrix to Map Research Trends and Algorithm Methods Eliana Saputri; Qurrotul Aini; Yuni Sugiarti
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.6153

Abstract

This study presents a bibliometric overview of research trends and algorithmic models in Aspect-Based Sentiment Analysis (ABSA). Data were collected from the Scopus database, resulting in a dataset of 2,344 journal articles published between 2021 and early 2026. The analysis was conducted using the Bibliometrix and Biblioshiny packages in R to perform number of publications per year, source’s production over time, country production over time, keyword co-occurrence, thematic mapping and evolution of research themes. The results show that ABSA research has experienced rapid growth with an annual publication increase of more than 30%. This study identifies BERT algorithmic models and Graph Convolutional Networks (GCN) as the most dominant supporting tools in the research literature. Thematic maps show that transformer-based techniques and attention mechanisms have emerged as key driving themes in this field. Furthermore, thematic evolution maps reveal a shift in focus from technical aspect extraction to online public opinion analysis, reinforced by the sharp surge in the use of Large Language Models (LLMs) in recent years. The findings provide a structured overview of the intellectual landscape of ABSA, clarifying dominant research clusters, methodological trajectories, and emerging themes. By highlighting the central role of transformer architectures, graph-based neural networks, and LLM integration, this study offers methodological guidance for future model development. Furthermore, the bibliometric insights reduce research fragmentation and identify underexplored directions, offering valuable insights for researchers to identify research gaps and develop more advanced ABSA models in future studies.
Pengembangan Aplikasi Berbasis Web untuk Input dan Pencarian Data Properti di Ray White Cinere Nazla Khalisha; Qurrotul Aini
Jurnal Sains dan Informatika Vol. 12 No. 1 (2026): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v12i1.1247

Abstract

Ray White Cinere mengalami masalah dengan sistem penginputan dan pencarian data properti berbasis Microsoft Excel yang memerlukan waktu lama karena hanya dapat diakses admin. Penelitian ini merancang dan mengimplementasikan aplikasi berbasis web menggunakan metode rapid application development (RAD) agar staf marketing dapat mengakses data secara mandiri. Hasil pengujian black box testing menunjukkan tingkat keberhasilan 100%. Berdasarkan observasi dan feedback pengguna, sistem berhasil mengurangi waktu pencarian dari 15–30 menit menjadi kurang dari 2 menit dan mengeliminasi duplikasi data yang sebelumnya terjadi 5–8 kasus per bulan, sehingga meningkatkan produktivitas tim marketing secara signifikan.
Evaluasi Usability dan User Experience E-Commerce Menggunakan Cognitive Walkthrough (CW) dan User Experience Questionnaire (EQ) Meinarini Catur Utami; Qurrotul Aini; Moch Choiril Anwar; Rika Novita Wardhani; Winda Wulandari
Jurnal Ilmiah Matrik Vol. 28 No. 1 (2026): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/8kdapx82

Abstract

The rapid growth of e-commerce demands user-friendly interfaces to ensure optimal user experience. Application X still exhibits usability issues, including ineffective search functionality, difficulty accessing customer service, and unintuitive navigation, indicating that the interface does not adequately support ease of use. This study aims to analyze the evaluation of usability and user experience on mobile e-commerce applications by integrating Cognitive Walkthrough (CW) and User Experience Questionnaire (UEQ). CW was used to identify usability issues through task-based scenarios, while UEQ measured user perceptions across six dimensions: attractiveness, clarity, efficiency, reliability, stimulation, and novelty. Data were collected from 20 respondents using purposive sampling. The results reveal task errors and failures, reflecting low efficiency and usability. UEQ findings indicate that clarity and stimulation are above average, while efficiency, novelty, reliability, and attractiveness remain low. These results confirm that poor usability significantly degrades user experience, highlighting the need for interface design improvements.
Co-Authors Eliana Saputri Meinarini Catur Utami Moch Choiril Anwar Nazla Khalisha Rika Novita Wardhani Winda Wulandari Yuni Sugiarti