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Dynamical Analysis of Students’ Mathematics Anxiety Model with Social Support-Dependent Transition Rates Noraniza Bahrotul Ilmi; Diesty Hayuhantika; Rini Dwi Mardiyah
Jurnal Inovasi Matematika Vol 8 No 1 (2026): Inovasi Matematika (Inomatika)
Publisher : Pendidikan Matematika Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/inomatika.v8i1.582

Abstract

A mathematical model of mathematics anxiety incorporating social support as a parameter influencing both the spread and recovery of anxiety among students has been constructed. Previous models focus on anxiety transmission and recovery. This model differs in that the social support parameter appears explicitly in the basic reproduction number . Higher levels of social support decrease by reducing anxiety transmission and supporting recovery. In the model, there are two equilibrium points: mathematics-anxiety-free equilibrium and mathematics-anxiety-endemic equilibrium. Mathematics-anxiety-free equilibrium locally asymtotically stable if whereas if mathematics-anxiety-endemic equilibrium is locally asymtotically stable. Numerical simulations indicate that increased social support reduces the number of anxious students ( ), while the numbers of potential students and achievers students increase. The research findings suggest that stengthening social support through peer tutoring, collaborative learning, and positive feedback from lecturers can effectively reduce students’ mathematics anxiety.
Workshop Pemodelan Matematika sebagai Upaya untuk Meningkatkan Kemampuan Matematis Mahasiswa Noraniza Bahrotul Ilmi; Ratri Candra Hastari
Jurnal Pengabdian Masyarakat (JUDIMAS) Vol. 4 No. 1 (2026)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat STIKes Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54832/judimas.v4i1.769

Abstract

Mathematical modeling is an essential skill that supports students' problem-solving and critical thinking abilities. However, initial observation results indicate that most students still have difficulty understanding the concepts and steps of modeling systematically. Based on these findings, the mathematical modeling workshop was held with the aim of improving participants' understanding thru material delivery and interactive Q&A sessions. Data collection methods include observation of participant engagement and questionnaires to assess participants' perceptions of material clarity, relevance, and improved understanding. The analysis was conducted using a descriptive qualitative and quantitative approach. The results of the activity show enthusiasm and engagement from the participants, as well as a positive response to the material presented. As many as 78% of the participants stated that there was an increase in their understanding of mathematical modeling. Overall, this workshop was able to have a positive impact on participants' understanding of mathematical modeling and serve as a foundation for future activities.