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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) International Journal of Advances in Intelligent Informatics JURNAL PENDIDIKAN TAMBUSAI Indonesian Journal of Applied Informatics EDUKATIF : JURNAL ILMU PENDIDIKAN Jurnal Paedagogy Journal of English Language and Education Brilliance: Research of Artificial Intelligence Jurnal Pendidikan Sains dan Komputer Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Nuansa Informatika JATIKOM: Jurnal Aplikasi dan Teori Ilmu Komputer Journal of Computers for Society Cadika Journal.
Rani Megasari
Universitas Pendidikan Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Implementasi Model Scaffolding Berbantuan Multimedia Interaktif untuk Meningkatkan Kemampuan Analisis Siswa SMK Dwi Cahyono, Muhamad Yasirwan; Ali Nurdin, Enjang; Megasari, Rani
Jurnal Pendidikan Sains dan Komputer Vol. 5 No. 02 (2025): Artikel Riset Oktober 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v5i02.6830

Abstract

Penelitian ini bertujuan untuk mengimplementasikan model scaffolding berbantuan multimedia interaktif guna meningkatkan kemampuan analisis siswa SMK dalam mata pelajaran Algoritma dan Pemrograman. Studi lapangan yang dilakukan di SMKN 4 Padalarang menunjukkan bahwa kemampuan analisis siswa masih rendah, terutama dalam menganalisis kesalahan program yang mereka buat. Oleh karena itu, penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE, yang meliputi tahap analisis, desain, pengembangan, implementasi, dan evaluasi. Sebanyak 25 siswa kelas X RPL SMKN 4 Padalarang terlibat dalam penelitian ini. Hasil penelitian menunjukkan adanya peningkatan signifikan dalam kemampuan analisis siswa, dengan rata-rata gain sebesar 0,59 yang dikategorikan sebagai "sedang". Respon siswa terhadap penggunaan multimedia BelajarIN yang diterapkan dalam model scaffolding juga menunjukkan hasil yang sangat positif, dengan rata-rata tanggapan sebesar 81,48% yang masuk dalam kategori "sangat baik". Penelitian ini menyimpulkan bahwa penerapan model scaffolding berbantuan multimedia interaktif dapat meningkatkan kemampuan analisis siswa dalam pembelajaran algoritma dan pemrograman, dengan hasil yang cukup efektif dan layak diterapkan pada pembelajaran di kelas.
Development of a Drill-and-Practice Chatbot for Enhancing English Pronunciation through Interactive Dialogue Exercises Iskandar, Aysha Alia; Megasari, Rani; Nazir, Shah; Riza, Lala Septem
Jurnal Paedagogy Vol. 12 No. 4 (2025): October
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v12i4.17760

Abstract

This study aims to implement a drill and practice-based chatbot to improve English speaking skills, particularly in the aspect of pronunciation. The research employed a mixed-methods approach by combining the Research and Development (ADDIE) model with a quasi-experimental design using a pretest-posttest control group pattern. The participants consisted of 76 eighth-grade students from SMPN 5 Cirebon, divided into experimental and control groups. The instruments used included a pronunciation assessment rubric based on the Cambridge English Linguaskill Speaking Global Assessment Criteria, observation sheets, and student perception questionnaires. Data analysis was conducted through normality tests, the Wilcoxon Signed Rank Test, the Mann-Whitney U Test, and N-Gain calculation, complemented by qualitative analysis from observations and questionnaires. The findings revealed that the use of a drill and practice-based chatbot had a positive impact on improving students' pronunciation skills, although the improvement achieved remained merely in the low category, with an N-Gain score of 0.25. The chatbot was proven to provide broader, more flexible, and personalized practice opportunities for students, as well as facilitate instant feedback that is difficult to obtain in conventional learning. These results indicate that chatbots can serve as an effective supplementary medium in English language learning, particularly for practicing pronunciation both independently and in integration with classroom learning, suggesting the potential for further development and integration of chatbot technology in language education.
How Microlearning Can Benefit Education: A Study of Factors and Trends in the Use of Microlearning Ranggana, Alfaza; Rasim, Rasim; Megasari, Rani
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 7, No 5 (2025): Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v7i5.8558

Abstract

Microlearning has become one of the approaches that has become increasingly in demand in the last two decades along with the increasing need for flexible and digital technology-based learning. This research aims to define the concept of microlearning and identify research trends and factors that drive its implementation. The method used is a bibliometric analysis of microlearning-themed publications obtained from the ScienceDirect database from the initial appearance of the term until 2024. The analysis was carried out based on three main aspects, namely the frequency of publications, the number of citations, and the network of co-emergence and co-authorship. The results of the study show a significant increase in the number of microlearning-related publications over the past two decades. The publications with the highest citations were mostly from the pre-COVID-19 pandemic period, while 99% of documents did not show a strong pattern of authorship collaboration. In addition, microlearning is defined through three main factors, namely mobile device use, social connectedness, and time constraints. These findings confirm that research on microlearning remains relevant and has the potential to be an important foundation for the development of digital learning strategies in the future
Inovasi Isi Pembelajaran Informatika melalui Studi Perbandingan Indonesia, Amerika, dan Jepang Misbah, Indra; Munir, Munir; Megasari, Rani
Jurnal Pendidikan Tambusai Vol. 9 No. 1 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i1.26567

Abstract

Informatika merupakan salah satu mata pelajaran yang penting saat ini karena sangat menunjang kemampuan siswa pada abad ke-21 ini. Perkembangan teknologi yang sangat cepat membuat pelajaran informatika harus terus berkembang terutama di bagian isi pembelajaran yang akan disampaikan kepada siswa. Oleh karena itu, sangat dibutuhkan inovasi-inovasi isi pembelajaran informatika untuk menyetarakan dengan perkembangan teknologi. Penelitian ini bertujuan untuk menemukan inovasi isi pembelajaran informatika dengan membandingkan beberapa isi kurikulum di 3 negara yaitu di Indonesia, Amerika, dan Jepang. Hasil penelitian ini terdapat banyak persamaan dan perbedaan kurikulum informatika di 3 negara tersebut, tetapi tiap negara memiliki keunikan sendiri dalam menerapkannya dalam pembelajara. Ada beberapa inovasi yang bisa diambil dari 2 negara Amerika dan Jepang, inovasi yang menarik untuk bisa diterapkan di indonesia adalah penerapan pembelajaran robotika dan AI (artificial Intelligence) yang dicoba diterapkan di negara tersebut.
Development of Augmented Reality as a Learning Media on Informatics Learning Hardware Material in SMP Vani Aprianto; Munir Munir; Rani Megasari
NUANSA INFORMATIKA Vol. 19 No. 1 (2025): Nuansa Informatika 19.1 Januari 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i1.235

Abstract

This study was motivated by the researcher's concern about the difficulty of informatics subjects at the junior high school level. Moreover, when examined, hardware material is a challenge for teachers and students in carrying out learning in the classroom. In some places, student motivation and learning outcomes in understanding hardware material tend to be low. The purpose of this study is to develop Augmented Reality learning media on learning informatics hardware material in class VII junior high school. The research method used is Research and Development (R&D) which uses the Brog & Gall research model with 10 models, then simplified into 3 major steps which will be implemented in the development procedure process by adopting the results of Sukmadinata's R&D model simplification. Testing the feasibility of development, it was tested with the results of a media expert assessment of 81.25% very feasible criteria. While the material expert assessment with a score of 81.82% is very feasible. The results of the implementation of student respondents on a limited scale were 76.42% of the interesting category and a wide scale of 84.11% of the very interesting category. So it can be concluded through the results of expert validation, limited scale trials and wide scale trials, that augmented reality as learning media is feasible to use as a learning tool during the learning process
Comprehensive Review: Transforming Self-Education through Automatic Question Generation Technology Erry Fuadillah; Lala Septem Riza; Rani Megasari
Master Journal of Future Education Vol. 2 No. 1 (2025): Oktober
Publisher : CV. Master Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63461/cadikajournal.v21.296

Abstract

Automatic question generator (AQG) technology is a system developed to create questions automatically from input in the form of text, images, and videos. AQG has been developed using various approaches such as natural language processing (NLP), statistical approaches, and other machine approaches. AQG has a very important role in the world of education, especially in independent education, because it can be used as a good evaluation medium for students. Utilizing AQG in independent education gives students full control to determine their learning. AQG turns learning into a more interactive experience by generating questions that can trigger critical thinking and problem-solving skills. AQG technology developed in independent learning will encourage students to respond actively to the material and understand concepts more deeply. Approximately 60% of research related to AQG has been conducted for assessment, 18% for knowledge acquisition, and the remainder for validation and other purposes. This research was conducted by conducting a comprehensive review of 63 articles related to AQG in education.
Pengembangan Sistem Monitoring Prestasi Mahasiswa Berbasis Data Management Framework Mia Karisma Haq; Rani Megasari; Eddy Prasetyo Nugroho
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.485

Abstract

The issue of limited structured data has often hindered the role of academic advisors in effectively monitoring students’ participation and achievements. At Universitas Pendidikan Indonesia (UPI), student achievement data, both academic and non-academic, is still largely processed manually through forms or online messaging groups, which does not support comprehensive analysis. This study aims to develop a Student Achievement Monitoring System based on the Data Management Framework (DAMA-DMBOK) to ensure that data management is standardized, integrated, and supports data-driven decision-making. The research method includes data collection through literature studies, observation, and interviews; designing the data architecture; formulating key performance indicators (KPIs); developing data visualization and reporting features; and evaluating data management maturity using the Data Management Maturity Assessment (DMMA). The implementation results show that the system has successfully increased the maturity level of data management in key areas such as Data Modeling and Design, Data Storage and Operations, Data Integration & Interoperability, Metadata Management, and Business Intelligence, reaching the Optimizing level. With its analytical dashboard, reporting features, and dynamic data filters, the system supports academic advisors in monitoring student achievement more accurately, continuously, and in a well-documented manner. This study is expected to serve as a reference for developing more adaptive and integrated student achievement monitoring systems at the study program level in higher education institutions.
Analisis Sentimen dan Pemodelan Topik pada Post tentang Merek Teknologi di X Menggunakan Fine-tuning IndoBERT dan BERTopic Muhammad Rayhan Nur; Yudi Wibisono; Rani Megasari
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.508

Abstract

Media sosial telah menjadi wadah bagi konsumen untuk menyampaikan persepsi dan opini. Opini yang beredar tersebut berpotensi menjadi sumber data yang berharga bagi brand, termasuk Xiaomi, dalam memahami persepsi publik terhadap produk mereka. Penelitian ini bertujuan untuk menganalisis sentimen dan mengidentifikasi topik diskusi pada unggahan (post) mengenai merek teknologi Xiaomi di platform X (sebelumnya Twitter) dengan pendekatan berbasis Transformer. Dua metode utama yang digunakan adalah fine-tuning IndoBERT untuk model klasifikasi sentimen dan BERTopic untuk pemodelan topik. Data yang berhasil dikumpulkan sebanyak 10.130 post dari bulan Mei 2023 hingga Mei 2025 yang dilanjutkan menuju tahapan praproses serta pelabelan. Model klasifikasi dilatih dengan berbagai kombinasi konfigurasi hyperparameter, dengan hasil pengujian terbaik menghasilkan nilai accuracy 79,8%, precision 73,0%, recall 67,7%, dan f1-score (macro) sebesar 0,699. Distribusi sentimen dalam data menunjukkan dominasi sentimen netral, sedangkan BERTopic berhasil menghasilkan 16 cluster topik dengan rata-rata nilai coherence (C_v) sebesar 0,5437. Topik paling dominan dengan jumlah anggota cluster terbanyak membahas mengenai produk Xiaomi Series dan Poco. Sementara itu, topik dengan persentase sentimen negatif tertinggi berkaitan dengan layanan service center dan sentimen positif tertinggi mengenai produk komputer tablet (tab) Xiaomi. Penggabungan hasil analisis sentimen dan topik memberikan pemahaman yang lebih mendalam terhadap isu yang dibicarakan serta persepsi konsumen. Penelitian ini membuktikan bahwa kombinasi IndoBERT dan BERTopic efektif dalam menganalisis opini konsumen di media sosial serta memberikan wawasan strategis yang relevan bagi perusahaan untuk mengidentifikasi kekuatan dan potensi peningkatan yang dapat dilakukan.
Unsupervised Clustering of Handwritten Essay Answer Images Using Vision Transformer Mohamad Asyqari Anugrah; Yaya Wihardi; Rani Megasari
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.517

Abstract

This study explores the use of deep clustering methods to automatically group handwritten essay answer sheets based on their visual patterns. Feature extraction was performed using three backbone models: ResNet-50, Vision Transformer (ViT-base), and Tr-OCR. These features were then clustered using two unsupervised algorithms—K-means (with k=5) and HDBSCAN (with minimum cluster size = 10). To enhance clustering performance, a deep clustering approach was implemented by applying K-means iteratively to refine feature representations. Evaluation was conducted both quantitatively, using Silhouette Score, Davies-Bouldin Index, and Calinski- Harabasz Score, and qualitatively, through t-SNE visualizations and cluster content inspection. The ViT and Tr-OCR backbones outperformed CNN-based ResNet-50, achieving higher cluster cohesion and separation. Notably, the final clustering result using ViT with HDBSCAN reached a Silhouette Score of 0.772, Davies-Bouldin Index of 0.369, and Calinski-Harabasz Score of 408.006. The findings indicate that vision transformer-based models are more effective for unsupervised grouping of handwritten visual data. This approach can assist educators in accelerating and objectifying the grading process and may serve as a foundation for future automated essay evaluation systems integrating OCR and NLP techniques.
Perancangan Strategic Dashboard Pemetaan Alumni Menggunakan Metode PureShare Dicki Fathurohman; Rani Megasari; Muhammad Nursalman
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.518

Abstract

Alumni play a crucial role as university representatives in society and as a bridge connecting networks and sharing information with current students and new graduates. However, limited up-to-date alumni data and low participation in data updates hinder universities from fully leveraging alumni potential. This study aims to develop a strategic alumni mapping dashboard for Universitas Pendidikan Indonesia (UPI) using the PureShare method, which emphasizes alignment between organizational goals and user needs. The development process includes planning and design, system and data review, prototype creation, refinement, and release. During planning, objectives and key results were identified as the foundation for dashboard design. The data review stage revealed several missing key data, such as income, employment status, and further study data, which were subsequently added to complete the database. The prototype was tested through blackbox testing and refined based on user feedback. The final dashboard presents interactive visualizations, including alumni growth trends, distributions by domicile, employment, entrepreneurship, and further study. This dashboard serves as a monitoring and strategic decision-making tool for UPI’s Alumni Association, supporting the achievement of university Key Performance Indicators, particularly graduate success. This research highlights the importance of participatory approaches and user-centered design in enhancing the effectiveness of alumni mapping dashboards.
Co-Authors Ali Nurdin, Enjang Andriansyah, Rasyid Arzaniel Ethan Martosiswoyo Christina Prilla Rosaria Ardyanti Destian, Rangga Dicki Fathurohman Dwi Cahyono, Muhamad Yasirwan Dwi Hendratmo Widyantoro Eddy Prasetyo Nugroho Eka Fitrajaya Rahman Emir Mauludi Husni Fuadillah, Erry Hazmi Ramadhan Adli Irsyad Fauzan Nurdin ISKANDAR, AYSHA ALIA Jullfikar, Raisyad KUSPRIYANTO Lala Septem Riza M. Munir Marantika, Maya Meutia Jasmine Annisa Herawan Mia Karisma Haq Misbah, Indra Mohamad Asyqari Anugrah Muhammad Nursalman Muhammad Rayhan Nur Muldani, Henhen Imam Munir Munir Munir Munir, Munir Nazir, Shah Nursalman, Muhammad Raffi Ardhi Naufal Ranggana, Alfaza Rasim, Rasim Resky Ramadhandi Santoso Rosa Ariani Sukamto Vani Aprianto Wahyudin , Wahyudin Wahyudin Wahyudin Wibisono, Yudi Wihardi, Yaya Yudi Ahmad Hambali