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Identification of Subgroups of Geometric Transformations using Linear Algebra and Group Theory Ikrar Pramudya; Rubono Setiawan; Mardiyana Mardiyana; Ponco Sujatmiko; Dyah Ratri Aryuna
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 3 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i3.26564

Abstract

The set of all plane geometric transformations  forms a group under the binary operation of function composition. One of its subgroups consists of all transformations that can be expressed in the form T(x) = Ax + v, where A is an invertible (2x2) and v is a fixed vector . This study aims to identify the existence and structure of certain subgroups within through a linear algebra approach. The research methods include a literature review, simulations on specific cases to obtain a more concrete understanding of the problem, and deductive reasoning based on mathematical syllogisms to derive properties and theorems that can be algebraically verified. Consistent with the research objectives, the concepts and theoretical foundations employed are drawn from the analytical properties of plane geometry and linear algebra. These concepts and theorems are revisited to ensure their relevance to the research problem and applicability in its resolution. By applying these theoretical constructs to the problem, several subgroups whose existence can be proven algebraically are identified. These subgroups include the translation subgroup, the subgroup containing rotation transformations, the group of isometries, and the group of similarities. 
Analyzing Students’ Mathematical Representation Skills in Probability Based on Learning Style Variations Fatkhunur Fariza Rahmadiansyah; Imam Sujadi; Ikrar Pramudya
Pedagogy Review Vol 3, No 2 (2024): Pedagogy Review
Publisher : Institute of Multidisciplinary Research and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61436/pedagogy/v3i2.pp82-94

Abstract

Abstract: Describe the mathematical representation of each student's learning style in solving probability material problems. The research form used is qualitative research. The subjects of the study were students of class VIII A of SMPN 3 Ngawi who had studied probability topic. The research data came from written tests and interviews. Subjects with visual learning style have sufficient ability in word representation, less in visual representation, both in pictorial and symbolic representation. Subjects with auditory learning style have sufficient ability in word and symbolic representation, both in visual and pictorial representation. Subjects with read/write learning style have insufficient ability in word representation, both in visual representation, sufficient in pictorial and symbolic representation. Subjects with kinesthetic learning style have sufficient ability in word, visual and pictorial representation and less in symbolic representation.   Keywords: mathematical representation, probability, learning style.
Effectiveness of Jigsaw-Flash Learning Model in Geometry Material Imam Pakhrurrozi; Imam Sujadi; Ikrar Pramudya
International Journal of Science and Applied Science: Conference Series Vol 2, No 1 (2018): International Journal of Science and Applied Science: Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.548 KB) | DOI: 10.20961/ijsascs.v2i1.16708

Abstract

This study aims to determine and describe the effectiveness of the use of jigsaw-flash learning model on geometry material. The jigsaw-flash learning model is a jigsaw learning model which is modified with adobe flash media. The research method used is mix method research with exploratory sequential strategy. This research was conducted in state junior high schools in Surakarta. Subjects in this study were the students of class VIII namely class VIII-2 as an experimental class and class VIII-3 as a control class selected by random sampling technique. The experimental class was taught with a jigsaw-flash learning model and the control class was taught with a jigsaw model. The procedures performed in this study include qualitative data collection and data analysis followed by quantitative data collection and data analysis. The researcher used interview method for collecting qualitative data. While quantitative data collection was conducted by test and the analysis technique used was t-test. The results of this study indicate that students feel more comfortable and interested in studying geometry material taught by jigsaw-flash model. In addition, students taught using the jigsaw-flash model are more active and motivated than the students who were taught using jigsaw models in studying geometric material. This shows that the use of the jigsaw-flash model can increase student participation and motivation. The results of this study also indicate that the increase in student achievement taught by the jigsaw-flash model which is indicated by t-test result t = 2,259 with df = 38. Based on the results, it can be concluded that jigsaw-flash model is more effective than jigsaw model. Therefore, teachers need to consider the use of jigsaw-flash learning model in learning geometry material.