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p-Index From 2021 - 2026
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All Journal Scientific Journal of Engineering Research International Journal of Contextual Science Education
Rangga Alif Faresta
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Decision Sciences, Operations Research & Management Education Engineering Other

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A Bibliometric Analysis of Natural Language Processing and Classification: Trends, Impact, and Future Directions Setiawan Ardi Wijaya; Rahmad Gunawan; Rangga Alif Faresta; Asno Azzawagama Firdaus; Gabriel Diemesor; Furizal
Scientific Journal of Engineering Research Vol. 1 No. 1 (2025): March
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i1.2025.6

Abstract

This study presents a bibliometric analysis of Natural Language Processing (NLP) and classification research, examining trends, impacts, and future directions. NLP, a key field in artificial intelligence, focuses on enabling computers to process and understand human language through tasks such as text classification, sentiment analysis, and speech recognition. Classification plays a crucial role in organizing textual data, facilitating applications like spam detection and content recommendation. The research employs bibliometric analysis to evaluate publication trends, citation networks, and emerging themes from 1992 to 2025. Using data retrieved from Scopus, descriptive statistical analysis and bibliometric mapping with VOSviewer reveal key contributors, influential publications, and subject area distributions. Findings indicate a significant rise in NLP research, with deep learning models, particularly transformers, driving advancements in the field. The study highlights dominant research areas, including computer science, engineering, and medicine, and identifies leading countries in NLP research, such as the United States, China, and India. Additionally, ethical concerns, including bias and fairness in NLP applications, are discussed as critical challenges for future research. The insights derived from this analysis provide valuable guidance for researchers and policymakers in shaping the next phase of NLP development.
Application of Symposium Learning Method to Enhance High School Students' Critical Disposition and Critical Thinking Skills in Addressing Socioscientific Issues in Biology Ririn Mardiana Saputri; AA Sukarso; Prapti Sedijani; Agus Ramdani; Rangga Alif Faresta
International Journal of Contextual Science Education Vol. 2 No. 1 (2024): January - March 2024
Publisher : Postgraduate Program, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijcse.v2i1.596

Abstract

This study explores the effectiveness of the Symposium Learning Method in enhancing critical disposition and critical thinking skills among high school students in the context of biology education. Employing a quasi-experimental design, the research compares the outcomes of students instructed using the Symposium Learning Method with those taught through conventional methods. Pre-test and post-test assessments were conducted to evaluate students' critical disposition and critical thinking skills. The findings reveal a significant improvement in both critical disposition and critical thinking skills among students exposed to the Symposium Learning Method. This underscores the method's efficacy in promoting active participation, collaborative learning, and deeper engagement with course material. The study emphasizes the importance of innovative teaching approaches in nurturing critical thinking skills essential for addressing complex societal issues in biology education.
Model Coaching Supported by LMS in E-Module Development: A Systematic Literature Review on Enhancing Teacher Competence Ni Nengah Sri Swathi Nengah; A.Wahab Jupri; AA Sukarso; I Putu Artayasa; Joni Rokhmat; Rangga Alif Faresta
International Journal of Contextual Science Education Vol. 2 No. 4 (2024): October - December 2024
Publisher : Postgraduate Program, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijcse.v2i4.820

Abstract

This study explores the integration of Learning Management Systems (LMS) with coaching models to enhance teacher competencies, particularly in e-module development. Using the PRISMA framework, the systematic literature review synthesizes global research from 2019 to 2024. The findings emphasize the transformative impact of LMS-supported coaching in professional development, highlighting themes such as digital competency enhancement, collaborative learning, and adaptability in remote education. Significant contributions emerge from regions like are noted in regions such as the United States, the United Kingdom, and Indonesia, alongside persistent challenges including technological disparities, cultural resistance, and infrastructural limitations. The study identifies emerging technologies, including artificial intelligence and adaptive LMS, as promising solutions for advancing teacher training. These insights underscore the need for inclusive, scalable strategies to address global educational challenges and improve teacher professional development frameworks strengthen frameworks for teacher professional development.
Co-Authors A.Wahab Jupri AA Sukarso AA Sukarso Agus Ramdani Asno Azzawagama Firdaus Furizal Gabriel Diemesor Gunawan, Rahmad Joni Rokhmat Ni Luh Putu Pebri Artayani . Ni Nengah Sri Swathi Nengah Prapti Sedijani Ririn Mardiana Saputri Wijaya, Setiawan Ardi