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Robust DeBERTa-v3 Framework for Aspect-Based Sentiment Analysis with Extreme Class Imbalance Muhammad Rikzam Kamal; Sabrina Ahmad; Rohmad Abidin; Imam Prayogo Pujiono
Journal of Innovation Information Technology and Application (JINITA) Vol 8 No 1 (2026): JINITA, June 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v8i1.3296

Abstract

Aspect-Based Sentiment Analysis (ABSA) often operates under extreme class imbalance, causing Transformer-based models to favour majority classes while failing to detect minority sentiments disproportionately. This study proposes RoABSA, a robust DeBERTa-v3–based framework that integrates Hybrid Semantic Augmentation, combining Easy Data Augmentation and Back-Translation, with cost-sensitive optimization via Weighted Random Sampling and Focal Loss to enhance diversity representation and recalibrate gradient contributions. Evaluated on four SemEval benchmarks (Lap14, Res14, Res15, Res16), RoABSA achieves consistent state-of-the-art performance with Macro-F1 scores of 84.71, 91.65, 88.40, and 84.24, respectively, outperforming strong graph-based and Transformer-based baselines by margins of up to 10.35 points. Ablation results confirm that robustness emerges from the synergy between augmentation and cost-sensitive learning rather than any single component. At the same time, per-class analysis demonstrates substantial gains in detecting minority sentiments, including cases where baselines failed. These findings highlight that addressing long-tailed distributions in ABSA requires coordinated interventions at both data and optimization levels, and that RoABSA provides a practical, generalizable strategy for improving stability and fairness in sentiment classification.
Pemanfaatan Gamifikasi dalam Pembelajaran untuk Meningkatkan Literasi Digital Siswa M. Ichwan Al Hafidz; Annisa Larasati; Muhammad Rikzam Kamal
Nusantara Educational Review Vol 3 No 2 (2025): Nusantara Educational Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/k8a0c814

Abstract

Penelitian ini bertujuan untuk mengkaji pemanfaatan gamifikasi dalam pembelajaran sebagai strategi untuk meningkatkan literasi digital siswa. Melalui pendekatan Systematic Literature Review (SLR), didapatkan enam artikel yang membahas efektivitas gamifikasi dan elemen-elemennya. Hasil menunjukkan bahwa penggunaan gamifikasi dapat meningkatkan literasi digital siswa dan elemennya berperan meningkatkan motivasi, keterlibatan, serta keterampilan digital siswa. Selain itu, respon siswa terhadap gamifikasi cenderung positif, meskipun terdapat tantangan seperti keterbatasan akses dan pemahaman teknologi. Gamifikasi terbukti sebagai pendekatan inovatif dalam pendidikan abad ke-21. This research examines the utilization of gamification in learning as a strategy to improve students' digital literacy. Using the Systematic Literature Review (SLR) approach, six articles were obtained discussing gamification's effectiveness and its elements. The results show that the use of gamification can improve students' digital literacy, and its elements play a role in increasing students' motivation, engagement, and digital skills. In addition, students' responses to gamification tend to be positive, despite challenges such as limited access and understanding of technology. Gamification proved to be an innovative approach in 21st-century education.
Co-Authors Abdul Syukur Afiana, Lia Agustin, Adelia Delima Ahmad Rosyid Alifian, Naufal Setyabagas Andika Faza Setiawan Annisa Larasati Arditya Prayogi Arman Maulana Ishak Aryani, Alvita Tyas Dwi Chasanah, Tri Uswatun Christianto, Paminto Agung Christy Atika Sari Dimas Prasetya Emilla Dwi Nurrahma Eny Jumiati Fadhilah, Lailatul Fadilah Zahra Dwi Kinanti Faiq Tasyrifil Huda Faiqotus Sakinah Fathan, Zulmi Fathoni, M. Nur Fatimah Febianti, Dini Hanifa, Annisa Hasanah, Wardah Amrillah Hendri Hermawan Adinugraha Ikhsanuddin, Rohmatulloh Muhamad Imam Prayogo Pujiono Isnaeni Kholifatun Jumiati, Eny Kahar, Novidoh Khoirunisa, Indah Kholid Noviyanto Kurniawan, Ichwan M. Hamdan Aldiansyah M. Ichwan Al Hafidz Maulana, Much. Rifqi Mochammad Hafiz Ayusman Mohammad Reza Maulana, Mohammad Reza Much. Rifqi Maulana Muhammad Arif Fahmi Muhammad Shofy Fuady Mukmin, Muhammad Mutiara Sofia Ramadhani Nagari, Maharani Bintang Nova Shella Rida Az-zahra Novendi Arkham Mubtadi Nugroho, Agus Susilo Nur Anis Nabila Binti Suhaimi Panuntun, Febri Ambar Putri, Rosila Agustina Ramona Aprilia Yuniar Rasadi, Kristalia Sabita Riskha Syofiyana Riyadi, Akhmad Rohmad Abidin Romi Satria Wahono Rosyid, Fiqi Ryan Marina Sabrina Ahmad Salsabila, Savira Samsul Arifin Saputra, Findika Rifki SATRIYAS ILYAS Sirojuddin, M. Sirojuddin Subhan, Hadi Syamsul Bakhri Syamsul Bakhri Syamsul Bakhri Syamsul Bakhri Syamsul Bakhri Tamamudin Teddy Dyatmika Tri Uswatun Chasanah Wahid Wachyu Adi Winarto Wasito, Abid Tommy Zahwa, Syafira