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All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Sains dan Informatika Jurnal Ilmiah Matrik Applied Information System and Management Journal of Information Technology Smatika Jurnal : STIKI Informatika Jurnal
Qurrotul Aini
UIN Syarif Hidayatullah Jakarta
Computer Science & IT Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media 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 Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

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.
Rancang Bangun Sistem Informasi Jadwal Operasi Harian Berbasis Website Pada Rumah Sakit Al-Ihsan Qurrotul Aini; Mughits Aditya
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2225

Abstract

Penelitian ini berfokus pada pengembangan sebuah sistem informasi jadwal operasi harian berbasis website yang diterapkan di Rumah Sakit Umum Daerah Al-Ihsan. Sistem tersebut dirancang sebagai solusi untuk menggantikan mekanisme manual yang sebelumnya digunakan dan kerap menimbulkan permasalahan, seperti kesalahan data entry dan keterlambatan pembaruan informasi. Proses pengembangan sistem dilakukan dengan menerapkan metode Rapid Application Development (RAD), yang mencakup tahap analisis kebutuhan pengguna, perancangan sistem menggunakan Unified Modeling Language (UML), serta implementasi aplikasi dengan bahasa pemrograman PHP. Pengumpulan data dilakukan melalui observation, interview, dan literature study. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efektivitas serta efisiensi proses penjadwalan operasi, memperbaiki kualitas user interface, serta meningkatkan keamanan sistem melalui penerapan mekanisme authentication dan pengelolaan access control. Penelitian ini juga menunjukkan penerapan konsep sistem informasi secara nyata dalam mendukung proses transformasi digital di lingkungan rumah sakit.
Assessing Technology Acceptance for SIAKAD Usage among Scholarly Community Meinarini Catur Utami; Yuni Sugiarti; Muhammad Sanul Akbar; Muhammad Qomarul Huda; Qurrotul Aini
J-INTECH ( Journal of Information and Technology) Vol 14 No 01 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i01.2246

Abstract

The deployment of academic information systems in higher education institutions necessitates both technological preparedness and user acceptance to guarantee sustained utilization. In practice, users frequently encounter challenges, including confusion when retrieving academic material, doubts regarding the accuracy of presented data, and dependence on manual verification despite the system's availability. Such circumstances diminish trust and render the system seen as a mere formal obligation rather than a beneficial academic resource. Differences in user perceptions of system quality, information quality, and behavioral aspects consequently affect the efficacy of system adoption. By integrating UTAUT 2 with the Delone & Mclean Model, this research aims to analyse the variables that influence user acceptance and the usage behaviour of the current academic information system. A quantitative explanatory approach was employed, utilizing survey data collected from 450 active users. PLS-SEM was employed to examine the data for the assessment of both measurement and structural models. The findings demonstrate that performance expectancy, effort, facilitating conditions, habit, system quality, and knowledge all have a substantial impact on behavioral intention and usage behavior.  Conversely, social influence does not substantially impact behavioral intention, indicating that system utilization is primarily motivated by functional requirements rather than normative pressure. Practically, the results suggest that universities should prioritize system reliability, accurate and timely academic information, responsive user support, and routine integration of SIAKAD into core academic workflows to strengthen continued usage.
Analisis Validitas dan Reliabilitas Sosial Budaya dan Organisasi terhadap Adopsi E-Commerce UMKM Tangerang Selatan Muhammad Qomarul Huda; Rinda Hesti Kusumaningtyas; Qurrotul Aini; Nur Aeni Hidayah; Icha Yulian
Applied Information System and Management (AISM) Vol. 6 No. 1 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i1.25198

Abstract

Tingginya perkembangan teknologi informasi, sejalan dengan tingginya terobosan yang dapat dilakukan bagi masyarakat. E-commerce menjadi salah satu contoh teknologi yang sudah berkembang dan banyak membantu masyarakat hingga saat ini. Pelaku UMKM banyak yang sudah beralih menggunakan e-commerce sebagai media penjualan namun dalam penerapannya masih memiliki hambatan. Penelitian ini bertujuan untuk menginvestigasi hambatan sosial budaya dan organisasi bagi pelaku UMKM Tangerang Selatan dengan menggunakan framework hambatan adopsi e commerce Zaied. Berdasarkan hasil uji validitas untuk keseluruhan item yang diajukan menunjukkan hasil yang valid. Kemudian hasil uji reliabilitas untuk mengetahui konsistensi jawaban dari responden mendapatkan nilai 0,830 dengan kata lain memiliki nilai yang reliabel. Penelitian ini memberikan hasil bahwa adanya hambatan pada nilai, keyakinan, pelaku UMKM dalam menerapkan e-commerce dengan angka sebesar 58% pada sosial & budaya. Hambatan lainnya pada organisasi mengenai kurangnya dukungan manajemen dan memilki keterbatasan akses informasi dengan angka sebesar 63% dalam menerapkan e-commerce sebagai media penjualan.
Integrasi Model: Uji Empiris Keberhasilan Perdagangan Elektronik Berbasis Individu (C2C E-Commerce) Aries Susanto; Qurrotul Aini; Aida Fitriyani
Applied Information System and Management (AISM) Vol. 6 No. 1 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i1.25383

Abstract

Perdagangan elektronik berbasis individu (C2C e-commerce) meningkat secara signifikan, di mana keberhasilan sistem informasi dipengaruhi faktor dan kondisi seperti keyakinan, sikap dan perilaku. Penelitian ini bertujuan menguji empiris faktor yang memengaruhi keberhasilan sistem informasi C2C e-commerce dengan model integrasi. Metode penelitian yang digunakan adalah kuantitatif dengan random sampling pada individu pengguna website Kaskus. Adapun pengumpulan data dengan penyebaran kuesioner secara online. Model usulan pengukuran yang digunakan adalah integrasi model keberhasilan sistem informasi DeLone & McLean, dengan penambahan variabel trust dan loyalty dengan 11 hipotesis penelitian. Hasil penelitian ini adalah 8 hipotesis terbukti signifikan dan 3 hipotesis tidak signifikan (kualitas sistem terhadap kepercayaan, kualitas informasi terhadap kepuasan, dan kualitas layanan terhadap kepercayaan), dimana uji path coefficient di bawah 0,1. Integrasi model keberhasilan penerapan SI DeLone and McLean, kepercayaan, dan loyalitas dapat menjadi model acuan yang layak digunakan sebagai kerangka pengukuran penggunaan suatu sistem berbasis teknologi seperti perdagangan elektronik.
Predictive Modeling of Student Dropout Using Academic Data and Machine Learning Techniques Qurrotul Aini; Elsy Rahajeng; Mufadha Tiohandra; Hamzah Aji Pratama; Jehad Hammad
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46659

Abstract

This study's objective is to investigate the performance of a predictive model for students at risk of dropout (DO) by considering several internal criteria of an academic program. This research uses academic information from UIN Syarif Hidayatullah Jakarta and applies the C4.5, Naive Bayes Classification (NBC), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) to forecast which students might drop out. The data used consists of 714 student records from Department of Information Systems for the academic year 2010–2015 as training and 2018 as testing data. The research method refers to the SEMMA framework (Sample, Explore, Modify, Model, and Assess) to ensure systematic and accurate data processing. Meanwhile, the internal criteria used are the completed courses, the status of the internship report, and the final project proposal. According to the study's findings, the C4.5 and SVM algorithms get the best accuracy rates of 94.44%, while KNN and NBC come in second and third, respectively, with 93%. The results show that the C4.5 and SVM algorithms work well with academic data. This study provides a substantial contribution to the development of a prediction system for students at risk of dropping out, which can be integrated into data-based applications or dashboards. This solution is expected to help higher education institutions identify students who need further academic support. In addition, this research also opens up opportunities for the progress of more accurate forecasting models through the integration of additional variables such as behavioral or psychological data. With this data-driven approach, higher education institutions can enhance their efficiency in monitoring and preventing student dropouts, thereby supporting a vision of quality and sustainable education.
Profile Matching in Python to Identify Tourist Destinations for The Development of National Tourism Meinarini Catur Utami; Qurrotul Aini; Elvi Fetrina; Muhammad Shofian Tsauri; Mella Safitri
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46683

Abstract

Tourism has emerged as a key contributor to state revenue and has played a crucial role in national economic recovery following the Covid-19 pandemic, establishing itself as a new engine for the country’s economic growth. In response to this, the government—through the Ministry of Tourism and Creative Economy—is actively promoting development in the tourism sector to enhance numerous tourist attractions in Indonesia, which are renowned for their beauty and recognized globally. However, the Ministry faces several challenges, including the need for technological advancements and the expansion of infrastructure. Addressing these needs will require substantial financial investment to optimize all tourism sites. This study aims to identify 22 tourist attractions across Indonesia using the Profile Matching method in Python programming, based on seven established criteria. The uniqueness about this study is that this research implemented  a simple Python script and the tourist attractions are spread across all regions of Indonesia. The results of the study highlight three tourist destinations that warrant government attention for optimization: Lake Maninjau, Rantepao, and Seminyak. To facilitate improvement, several areas require focus, including upgrading access roads, enhancing basic facilities, fostering community participation, developing human resources, and leveraging technology. The analysis using Python demonstrates that the software performs efficiently, processing 22 data points with seven criteria in a mere 0.06 seconds.
Clustering Analysis of E-Learning Readiness in Java Island Indonesia with GIS Visualization Eva Khudzaeva; Qurrotul Aini; Evy Nurmiati; Ismi Ana Sulasiyah; Ibrahim Shehu Usman
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i1.50267

Abstract

E-learning readiness (e-readiness) is used as a tool to measure the success rate of using ICT in the academic process. Until now, a lot of research on e-readiness has been collected in various regions, especially Java Island, but the data has not been grouped and visualized, so it is difficult to know the level of readiness. The purpose of this study is to group e-readiness data using clustering analysis, then create a GIS-based map of the distribution of e-readiness clusters. To obtain optimal clustering results, researchers used the K-means and PCA combination as a cluster optimization method. The total dataset used is 27 locations' data with 2 parameters selected based on the level of e-learning readiness. Based on the results of the performance analysis using the selected internal clustering validation metrics, specifically the Davies Bouldin Index (DBI) and the average within centroid distance, each metric indicates the best cluster with values of 0.057 and 0.001, respectively. The most optimal cluster formed using the K-means and PCA methods, with a total of three clusters spread across various areas on the island of Java. As for the division of each cluster by its location point, namely, cluster 1 (amounting to 20 locations) for the ready level, cluster 2 (amounting to 4 locations) for the less ready level, and cluster 3 (amounting to 3 locations) for the very ready level.  
Co-Authors Aang Subiyakto Aida Fitriyani Aries Susanto Eliana Saputri Elsy Rahajeng, Elsy Elvi Fetrina Eva Khudzaeva Evy Nurmiati Hamzah Aji Pratama Huda, Muhammad Qomarul Ibrahim Shehu Usman Icha Yulian Ismi Ana Sulasiyah Jehad Hammad Meinarini Catur Utami Mella Safitri Moch Choiril Anwar Mufadha Tiohandra Mughits Aditya Muhammad Sanul Akbar Muhammad Shofian Tsauri Nazla Khalisha Nur Aeni Hidayah Rika Novita Wardhani Rinda Hesti Kusumaningtyas, Rinda Hesti Winda Wulandari Yuni Sugiarti