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All Journal Primary: Jurnal Pendidikan Guru Sekolah Dasar EDULITE: Journal of English Education, Literature and Culture LEKSIKA Wiralodra English Journal (WEJ) Education and Human Development Journal ACITYA Journal of Teaching & Education Intensive Journal Lingua Al-Mu'awanah UC Journal: ELT, Linguistics and Literature Journal Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) LINGUAMEDIA Journal J-LEE - Journal of Law, English, and Economics Tarling : Journal of Language Education International Journal of Health Science and Technology The Journal Of English Teaching For Young And Adult Learners SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT UNNES International Conference on ELTLT Lead Journal
Tri Pujiani
Universitas Harapan Bangsa
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Other

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Artificial Intelligence for a Smarter Future: Trends, Applications, and Research Directions Zohaib Hassan Sain; Tri Pujiani; Ida Dian Sukmawati; Jaime Da Costa Lobo Soares
Jurnal IT UHB Vol 7 No 2 (2026): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v7i2.2498

Abstract

Artificial Intelligence (AI) has emerged as the defining technological force of the twenty-first century, fundamentally transforming industries, reshaping scientific inquiry, and reconfiguring the boundaries of what machines can accomplish. This paper presents a comprehensive quantitative and qualitative review of AI's most recent advances, covering key paradigms including Natural Language Processing (NLP), deep learning, computer vision, reinforcement learning, generative AI, and federated learning. Methodologically, this study adopts a structured narrative review: 48 peer-reviewed articles and authoritative technical reports published between 2019 and 2024 were retrieved from Scopus, IEEE Xplore, Web of Science, the ACL Anthology, and arXiv, and then screened and synthesized thematically across six AI paradigms. A systematic analysis of benchmark performance data across leading AI models, including GPT-4, Gemini Ultra, and AlphaFold 2, demonstrates measurable progress in accuracy, efficiency, and versatility. This study further maps the critical challenges impeding AI's responsible deployment of AI: data bias, computational cost, lack of explainability, adversarial vulnerabilities, and regulatory fragmentation. Drawing on evidence from recent peer-reviewed literature and industry reports, we propose a structured roadmap for future research directions, including Artificial General Intelligence (AGI), Explainable AI (XAI), Green AI, quantum machine learning, and human-AI collaboration frameworks. Our analysis underscores the urgent need for interdisciplinary research, ethical governance, and sustainable AI design principles to ensure that AI development aligns with the long-term values and societal goals of humanity.
Exploring the Role of Memrise in Enhancing EFL Learners’ Motivation Nur Halimah; Tri Pujiani
Intensive Journal Vol 8 No 2 (2025): Intensive Journal October
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/intensive.v8i2.20000

Abstract

Student motivation has always been an obstacle within English as a Foreign Language (EFL) teaching and it continues to be a technological barrier with learners at the beginner level. This study investigates the impact of the gamified, mobile-assisted language learning application, Memrise, on students’ motivation to learn English. The study aimed to provide insight into what the effective extent of Memrise is and how it can promote learner motivation within EFL environments. This study used a pre-experimental one-group pretest-posttest design, with 28 first-year university students enrolled in a Beginner English 2 course at a university in Indonesia. Data for the study were collected using observations, structured questionnaires informed by Self-Determination Theory and Connectivism, and semi-structured interviews. Quantitative data were analyzed descriptively and using paired sample t-tests, and qualitative data were analyzed thematically. The findings demonstrated a statistically significant improvement in students' motivation after the Memrise intervention, and the students reported higher autonomy, competence, and engagement than before the intervention. The additional features, including chatbot conversations, real-time feedback, and progress tracking, helped to facilitate the improved levels of motivation. The paper argues that Memrise is an effective strategy for encouraging sustainable motivation in EFL learners and contributes to the ongoing discourse on mobile learning, presenting practical implications for educators and app developers to consider as they develop increasingly engaging and learner-centered digital environments.
R2N Bridging early EFL and eco-literacy: Expert validation of an eco-themed digital storybook series Ida Dian Sukmawati; Tri Pujiani
Leksika: Jurnal Bahasa, Sastra dan Pengajarannya Vol. 20 No. 2 (2026)
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/lks.v20i2.29849

Abstract

Being in disaster-risk areas frequently affected by floods, landslides, and climate change, schools increasingly seek age-appropriate ways to introduce environmental awareness while sustaining meaningful early English exposure. However, early-grade EFL classrooms often have limited resources to integrate eco-centric themes into instruction. This study aimed to establish expert-based validity evidence for an interactive eco-themed e-storybook series designed for Indonesian Grade 1 EFL learners. Using a two-round modified Delphi approach, 12 experts (teachers, language specialists, and multimedia specialists) evaluated the series through structured questionnaires and open-ended feedback, followed by targeted revisions after Round 1. Quantitative judgments were analyzed using content-validity indices (I-CVI and S-CVI/Ave) and Aiken’s V to estimate item relevance and agreement, while qualitative comments were analyzed thematically to identify revision priorities. After revision, expert judgments converged, indicating that the series is linguistically accessible for beginners, pedagogically feasible for routine-based classroom use, ecologically interpretable through child-friendly actions, and multimodally coherent when audio and interactive features remain purposeful. Qualitative feedback prioritized stronger text–image alignment for key expressions, simplified page layouts to minimize overload, improved replay and accessible glossary supports, and child-safety safeguards (e.g., ad-free, break reminder). Overall, the findings support the series as a validated instructional resource oriented to integrating early EFL learning with eco-literacy meanings.
Co-Authors Adzkiyah, Maulina Afidah, Nurul Agrissto Bintang Aji Pradana Agustina, Ulfa Wulan Aldy Danuar Barlian Kristanto Benny Krisbiantoro Benny Krisbiantoro Dewi - Rochsantiningsih Dhea Arti Dian Sukmawati, Ida Diannike Putri Intan Fadilah Iryaninda Irfani Zuhrufillah Jaime Da Costa Lobo Soares Khoirun Nisa Khoirun Nisa Meiliana Nurfitriani Mufida, Cici Nur Muhammad Soali Neilia Almustaflikhah Neilia Almustaflikhah Ngadiso Ngadiso Nunun Indrasari Nur Azzizatun Zahro Nur Halimah Nur Halimah Putra Akbar Wibawa Ramdania, Nofa Elok Soali, Muhammad Windy Harsiwi Yani, Riski Fitri Zohaib Hassan Sain Zuhrufillah, Irfani