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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika
Fadugba, Sunday Emmanuel
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Transportation Other

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ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS Mariono, Mariono; Syaharuddin, Syaharuddin; Ashraf, Sameer; Fadugba, Sunday Emmanuel
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp199-214

Abstract

This study adopts a systematic literature review to analyze social media sentiment towards specific commodities to enhance the accuracy of price movement forecasts in commodity markets. Drawing from the field of applied mathematics, the research gathered literature from Scopus, DOAJ, and Google Scholar databases, covering publications from 2014 to 2024. A rigorous search strategy yielded 66 journal articles, with 30 being selected for their close relevance to keywords such as "social media sentiment," "commodity markets," and "price forecasting." Results indicate that social media sentiment significantly influences commodity prices, with particular variations based on commodity type and geographical context. Specific sentiment factors—especially intensity, polarity, and timing—were found to have a pronounced impact on price dynamics, with sentiment polarity being particularly influential in volatile markets. Additionally, advanced analytical methods, like Bayesian Dynamic Linear Models and LSTM neural networks, enhance predictive accuracy when applied to sentiment analysis in this context. These findings underscore the value of social media sentiment in refining forecasting models, while also highlighting gaps in understanding regional sentiment variations and their effects on different commodity types. By synthesizing these insights, this study emphasizes the importance of considering social media sentiment for more accurate price predictions and identifies key areas for future research to explore the multifaceted impacts of sentiment in commodity markets.
Interactive GUIs and 3D Visualization in Computational Mathematics Education: A Systematic Literature Review Syaharuddin, Syaharuddin; Abdillah, Abdillah; Mehmood, Saba; Raza, Wasim; Sahraini, Alfiana; Fadugba, Sunday Emmanuel
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 2 (2026): July
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i2.3942

Abstract

Graphical User Interfaces (GUIs) and 3D visualization can support computational mathematics learning by making abstract, spatial, and dynamic concepts more accessible. However, evidence concerning their pedagogical applications, reported outcomes, and implementation challenges remains fragmented across technologies and educational contexts. This systematic literature review identifies, classifies, and synthesizes research on GUI- and 3D-supported computational mathematics education. Open-access publications written in English or Indonesian and indexed in Scopus, the Directory of Open Access Journals, and Google Scholar between 2015 and 2025 were examined using a PRISMA-informed selection process. Of the 28,563 records initially identified, 1,123 were retained for bibliometric and keyword co-occurrence analysis, while 31 studies met the full eligibility criteria and were included in the qualitative synthesis. The included studies were analyzed through thematic coding, cross-study comparison, and narrative synthesis. Bibliometric mapping identified four major clusters: technology-supported learning environments; visualization, GUI, and user interaction; simulation and advanced computational methods; and datasets, images, and predictive models. Across the included studies, GUI and 3D visualization were generally associated with reported improvements in conceptual understanding, learning motivation, engagement, and interaction with mathematical representations. Nevertheless, their educational value depended on usability, instructional scaffolding, curriculum alignment, teacher readiness, and technological accessibility. The findings provide design-oriented guidance for educators and developers and highlight the need for rigorous research in non-geometry domains, standardized evaluation methods, and integrated pedagogical frameworks for computational mathematics education.
Co-Authors Abdillah Abdillah Ashraf, Sameer Mariono, Mariono Mehmood, Saba Raza, Wasim Sahraini, Alfiana Syaharuddin