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All Journal ComEngApp : Computer Engineering and Applications Journal JSI: Jurnal Sistem Informasi (E-Journal) Annual Research Seminar Sistemasi: Jurnal Sistem Informasi Journal of Information Technology and Computer Science JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JSAI (Journal Scientific and Applied Informatics) Building of Informatics, Technology and Science Journal of Information Systems and Informatics Jurnal Pengabdian Masyarakat Bumi Raflesia Journal Informatic, Education and Management (JIEM) Jurnal Generic Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat AKM: Aksi Kepada Masyarakat Indonesian Journal of Innovation Studies Jurnal Algoritma Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Abdimas Maduma Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia The Indonesian Journal of Computer Science
Mira Afrina
Department Of Information Systems, Faculty Of Computer Science, Universitas Srwijaya, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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PELATIHAN DALAM PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ICT UNTUK GURU SEKOLAH YAYASAN AZIZAH KOTA PALEMBANG DALAM MENDUKUNG PROSES PEMBELAJARAN PADA MASA PANDEMI COVID 19 Utama, Yadi; Ibrahim, Ali; Afrina, Mira; Rezqe, Beriadi Agung Nur; Kodri, Lay; Zhafiri, Muhammad Farisan; Islamiansyah, Wira; Yunus, Hedi; Zaini, Akbar Al
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 4 No. 3 (2021): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses belajar mengajar di sekolah-sekolah tersebut secara umum telah berjalan dengan baik, tetapi rata-rata hasil belajar siswa masih tergolong rendah. Menurut informasi beberapa guru, rendahnya hasil belajar siswa salah satunya disebabkan karena guru belum memaksimalkan penggunaan media animasi dalam proses pembelajaran. Proses pembelajaran masih berlangsung secara konvensional, dimana aktivitas menulis lebih dominan dilakukan oleh guru dalam mengajar. Alasan utama mengapa para guru belum menggunakan media animasi dalam pembelajaran antara lain karena para guru belum mengerti, belum mamahami bagaimana cara membuat media ajar berbasis ICT dan animasi. Guru adalah pendidik profesional dengan tugas utama mendidik, mengajar, membimbing, mengarahkan, melatih, memberi teladan, menilai dan mengevaluasi peserta didik. Karena guru adalah SDM yang terdidik, potensi tersebut dapat ditingkatkan dengan meningkatkan pengetahuan dan pemahaman serta kemampuan guru dalam pengelolaan bidang computer.Kata Kunci: SDM, ICT, Movie maker
The Influence of Experience-Centric IT Governance on Digital Ethics Perception in Social Commerce Gumay, Naretha Kawadha Pasemah; Afrina, Mira; Indah, Dwi Rosa; Sari, Winda Kurnia; Sartika, Widya
SISTEMASI Vol 15, No 1 (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.v15i1.5750

Abstract

The Influence of Knowledge Management and Digital Competence on Employee Performance: Mediating Role of Innovative Behavior Sabila, Amalia; Afrina, Mira; Tania, Ken Ditha
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11529

Abstract

Rapid technological changes in the era of Industry 4.0 and 5.0 have made digital knowledge and skills more important in improving the way employees perform their tasks. Earlier research has given mixed results. This shows there is still a lot to learn. Based on the KBV (Knowledge Based-View) theory, this study looks at how knowledge management and digital competence directly and indirectly affect employee performance through innovative work behavior. Data were obtained using a questionnaire that had been compiled and analyzed with Partial Least Squares-Structural Equation Modeling (PLS-SEM) method with SmartPLS 4.1.1.4. The research sample included all employees in the case study (N = 56), with census sampling method. The study found that KM had a significant impact on IWB (p < 0,05), but did not have a significant direct impact on EP (p > 0,05). DC had a significant impact on EP (p < 0,05), but did not have a significant impact on IWB (p > 0,05). IWB played an important role in improving EP and also mediated the relationship between KM and EP. Theoretically, this study adds value to both the KBV theory by explaining how KM boosts performance through indirect ways, and by showing that digital capital plays a limited role in improving performance. Practically, the findings offer actionable implications for HR practitioners in designing performance systems that reward innovative behaviour, thereby motivating employees to utilize knowledge and digital tools more creatively to enhance productivity and service quality in medium enterprises.
Knowledge Discovery in Sharia Mobile Banking Reviews Using Aspect-Based Sentiment Analysis and Machine Learning Nashiroh Ramadhani, Muthia; Ditha Tania, Ken; Afrina, Mira
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11753

Abstract

User reviews provide important insights into the quality of digital banking applications; however, their large volume makes manual analysis inefficient. This study applies Aspect-Based Sentiment Analysis (ABSA) to examine user perceptions of the BYOND by BSI application based on three aspects: interface, features and performance, and services. Three classification algorithms were compared: Naïve Bayes, Support Vector Machine (SVM), and Random Forest, evaluated with accuracy, precision, recall, F1-score, and ROC-AUC. The results indicate that SVM and Naïve Bayes achieved the best performance, with an accuracy of 0.95 and an F1-score of 0.92, whereas Random Forest exhibited slightly lower performance with an F1-score of 0.89. Furthermore, sentiment analysis reveals the features and performance aspect exhibits the highest proportion of negative sentiment (39.6%), primarily associated with system reliability issues, login problems, transaction failures, and application instability. These findings demonstrate that ABSA can serve as an effective knowledge discovery approach for identifying critical functional issues and supporting data-driven prioritization in improving digital banking services, particularly within the context of sharia banking applications.
The Sentiment Analysis Of Indonesian Startup Application Reviews Using TF-IDF+SVM and FastText: A Comparative Study Aini Nabilah; Nurlayli Indah Sari; Mira Afrina; Ali Ibrahim
Journal of Information Technology and Computer Science Vol. 10 No. 3: Desember 2025
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.2025103807

Abstract

The rapid rise of startups in Indonesia makes user reviews on the Google Play Store a valuable data source for understanding user perceptions and satisfaction. These unstructured reviews contain insights supporting product development and business strategies. This study analyzes sentiments in Indonesian startup app reviews and compares two classification methods: TF-IDF + Linear SVM and fastText, implemented using Google Colab. Reviews were collected in September 2025 using google-play-scraper; 4,000 reviews were retrieved and refined into 3,152 unique reviews after cleaning and preprocessing. Sentiment labeling used ratings (1–2 negative, 4–5 positive); because the neutral class was limited, this study focuses on balanced binary classification with 1576 positive and 1576 negative reviews. The process involves data scraping, text preprocessing, model training, and evaluation using accuracy, precision, recall, and F1-score metrics, with Linear SVM chosen as an efficient baseline for high-dimensional sparse TF-IDF features. Results show that fastText achieves 91.88% accuracy and an F1-macro of 0.9184, slightly outperforming TF-IDF + SVM (F1-macro 0.9103), suggesting that the embedding-based approach better captures semantic nuances of Indonesian text. Future work may extend this study to ABSA to assess sentiments toward price, UI/UX, and customer service for deeper technopreneurship insights in Indonesia.
Determinants of Impulsive Buying During Shopee Flash Sales: Ajzen’s Theory of Planned Behavior Approach Baidhawi, Alif; Afrina, Mira; Tania, Ken Ditha; Kurnia, Rizka Dhini
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1452

Abstract

This research investigates the psychological elements that affect consumers’ impulsive buying behavior during Shopee flash sale events using the TPB. This inquiry employs a quantitative causal approach using survey data from 154 Shopee users engaged in flash sale purchases. Data were analyzed using a variance-based structural equation modeling approach with SmartPLS. The findings indicate that AT, SN, and PB jointly demonstrate significant effects on impulsive buying intention (β = 0.401; β = 0.395; β = 0.161), jointly explaining 59.9% of its variance. In addition, impulsive buying intention demonstrates a strong influence on actual impulsive buying behavior (β = 0.656, p < 0.001), accounting for 43.1% of the behavioral variance. Among the antecedents, attitude represents the most dominant predictor of intention, followed by subjective norms. A key advancement of this research stems from the integration of the TPB framework within flash sale contexts, positioning impulsive buying intention as a central psychological mechanism under conditions of time pressure. from a practical standpoint, the findings suggest that Shopee sellers and digital marketers should emphasize benefit-oriented messaging, urgency cues, and social validation features such as reviews, real time purchase indicators, and influencer endorsements to strengthen consumers’ impulsive buying intention during flash sale campaigns.
Analyzing the Impact of Review Sentiment on Carpentry Product Sales: Evidence from Tokopedia Kharisma, Agung Chandra; Saputra, Muhammad Haykal Alfariz; Ibrahim, Ali; Afrina, Mira
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1412

Abstract

The rapid growth of e-commerce in Indonesia has increased the importance of consumer reviews as signals influencing purchasing decisions. This study examines the relationship between review sentiment and sales performance in the carpentry tools category on Tokopedia. Using a 2019 Kaggle dataset consisting of 1,826 reviews across approximately 60 products, we apply an NLP-based pipeline to classify review sentiment into positive, neutral, and negative categories. Sentiment labeling combines rating-based rules and a TF-IDF + Logistic Regression baseline, with additional evaluation using IndoBERT. Product-level metrics—including the proportion of positive sentiment (pos_share), average rating, and units_sold (sales proxy)—are analyzed using descriptive statistics, correlation analysis, and cross-sectional OLS regression. The findings reveal that, in this snapshot dataset, the association between positive sentiment share and log(units_sold + 1) is weak and statistically limited, suggesting that sales variation cannot be explained solely by sentiment polarity or average ratings without considering other commercial factors. These results highlight the importance of incorporating contextual variables and temporal design in future research. Practically, the study suggests that sellers should monitor not only sentiment polarity but also the informational richness of reviews to strengthen reputation management strategies.
Co-Authors Abdiansah, Abdiansah Ade Iriani Sapitri Adhityah Anugrah Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Rifai Aini Nabilah Al Farissi Ali Ibrahim Ali Ibrahim Ali Ibrahim Annisa Darmawahyuni Apriansyah Putra - Ari Wedhasmara Ariani, Ardina Asyrof Fitrah Baidhawi, Alif Bayu Wijaya Putra Cendikiawan, Rizky Saputra Damayanti, Risma Darmawahyuni, Annisa Dedeng Zamawi Dicha Pratiwi Dinna Yunika Hardiyanti Dwi Rosa Indah Dyah Paramita P Endang Lestari Ruskan Ermatita - Fahreza, Irvan Fathoni - Febriady, Mukhlis Firdaus Firdaus - Firdaus Firdaus Firdaus Firdaus Firmansyah, M. Daffa Gumay, Naretha Kawadha Pasemah Gustin Saputri Hadini Novianti Hafiiz Kresna Prasetya Hardini Novianti Hardini Novianti Hardini Novianti Hendi Putra Wijaya Iin Seprina Iredho Fani Reza Irvan Fahreza Islamiansyah, Wira Junia Kurniati Ken Dihta Tania Ken Ditha Tania Kesuma, Lucky Indra Kharisma, Agung Chandra Kodri, Lay Kurnia, Rizka Dhini  Lakeisyah, Eka Therina Lay Kodri Leonardi, Veronica Hertensia M. Aris Garniardi Miftahul Falah Muhammad Anshori Muhammad Fachrurrozi Muhammad Fachrurrozi Muhammad Naufal Rachmatullah Nabila Hidayati Naretha Kawadha Pasemah Gumay Nashiroh Ramadhani, Muthia Nia Meitisari Nurlayli Indah Sari Nurullah Marina Kelana Oky Budiyarti Opi Hernayanti Ovi Dyantina Pacu Putra Purwita Sari Putri Eka Sevtiyuni Rahmat Izwan Heroza Redha Bayu Anggara Rezqe, Beriadi Agung Nur Risma Damayanti Rizka Dhini Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Rahmadhani Sabila, Amalia Sahira, Mutia Sapitri, Ade Iriani Saputra, Muhammad Haykal Alfariz Sartika, Widya Seprina, Iin Septiani Aulia Putri Sevtiyuni, Putri Eka Siti Nurmaini Sri Desy Siswanti Suci Dwi Lestari Suci Dwi Lestari Tasmi Tasmi Tasmi Tasmi Tia Arlin Dita Tumpol S Simarmata Welly Nailis Willy Winda Kurnia Sari Wita Farla WK Wiwik Handayani Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama Yadi Utama, Yudha Pratomo Yunus, Hedi Zaini, Akbar Al Zhafiri, Muhammad Farisan