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Polyhedron International Journal in Mathematics Education
Published by Nashir Al-Kutub Indonesia
ISSN : -     EISSN : 29876540     DOI : https://doi.org/10.59965/pijme.v1i1
Core Subject : Education,
Education Mathematics
Polyhedron International Journal in Mathematics Education (PIJME) journal aims to stimulate discussions at all levels of mathematics education through disseminating significant and innovative scholarly studies that are of value to the international research communities. The journal welcomes articles focusing on all aspects of mathematics education including empirical, theoretical, methodological, and philosophical works that have a perspective wider than local or national interest. PIJME publishes only original scholarly works. Manuscripts that are indeed a derivative or replication/duplication (if there is not clear reason, justification) of previous work are not accepted and will not be published in PIJME. Please do not submit the same manuscript simultaneously or separately to PIJME with another journal. In such cases the responsibility solely rests with the author(s).
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2024): pijme" : 5 Documents clear
The Influence of Differentiated Learning Models on the Learning Outcomes of Fifth Grade Students in Mathematics Rahman, Makbul; Akrom, Muhamad; Taufik, M.
Polyhedron International Journal in Mathematics Education Vol. 2 No. 1 (2024): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v2i1.98

Abstract

This study aimed to determine the effect of differentiated learning models on the learning outcomes of fifth-grade students in mathematics at elementary school in the 2023/2024 academic year. The study was conducted on fifth-grade students with a population of 21 students as one sample. The sampling technique used in this study was saturated sampling, where all populations were used as one sample. This study was an experimental study with a pre-experimental design, specifically a one-group pretest-posttest design. The pretest was used to measure students' initial abilities, while the posttest was conducted to measure the learning outcomes of fifth-grade students after carrying out treatment or action. Hypothesis testing in this study used the Paired Sample T-Test, which was preceded by a validity test, reliability test, and normality test. The results of this study were seen from the hypothesis test carried out using the Sample Paired T-Test technique, which obtained a significant value of 0,000. This means 0,000 < 0,05, so H1 was accepted. It can be concluded that there was an influence of the differentiated learning model on the learning outcomes of fifth-grade students in mathematics.
Fostering Prospective Teachers’ Disposition: A Lesson Study in Linear Programming Topics Embedded by Technology Krisnadi, Elang; Kandaga, Thesa
Polyhedron International Journal in Mathematics Education Vol. 2 No. 1 (2024): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v2i1.104

Abstract

In modern education, especially in higher degree programs, disposition was one of several factors that highly affected the learning process. The purpose of this research was to foster mathematical disposition among prospective teachers through a technology approach. POM-QM represented technology embedded into the learning process. Each cycle started with planning the embedding of technology into learning, realizing the plan by engaging a model teacher and an observer, and then ending with reflection to improve the next learning process to be applied to another class or the next topic. This lesson study began at the very beginning of linear programming. The conclusion was that the chapter design was able to foster mathematical dispositions. Some other affective and cognitive skills were known to have improved. The conclusion also covered some other unwritten but proper actions to take in the learning process based on lesson study reflection and evaluation. It was hoped that subsequent researchers would be able to implement lesson study activities during lecture activities.
The Influence of regional languages on presenting and solving local mathematics problems: a systematic literature review Safitri, Widya Sani; Sahmin, Sahmin; Isnawan , Muhamad Galang; Indrawati, Indrawati
Polyhedron International Journal in Mathematics Education Vol. 2 No. 1 (2024): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v2i1.88

Abstract

This research aims to find out how the use of regional languages ​​influences the presentation and solving of mathematical problems. In conducting research, researchers used the SLR (Systematic Literature Review) research method. Researchers searched journals on several websites with predetermined keywords. To make it easier to filter articles to be researched, researchers used the PRISMA flow. Where, there are several stages, namely identification, screening, eligibility, inclusion and exclusion criteria. In the final stage, 21 articles were obtained for research. The research results showed that the use of regional languages ​​in mathematics learning showed a positive influence on students' attitudes and motivation in learning mathematics. Apart from that, there is an increase in students' understanding of mathematical concepts and it makes it easier for students to solve local mathematics problems.
Utilization of GeoGebra software in mathematics learning: A Literature Systematic Review Seftiana, Gina; Lestari , Nurindah; Isnawan, Muhamad Galang; Rusmayadi, Muh.
Polyhedron International Journal in Mathematics Education Vol. 2 No. 1 (2024): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v2i1.95

Abstract

The research aimed to investigate the utilization of GeoGebra software in mathematics education, focusing on how it is integrated into teaching and learning. Employing a systematic literature review method, this study synthesized findings from various academic sources. The results indicated several significant points regarding GeoGebra's application in education. First, GeoGebra software has been effectively used across various mathematical topics, including geometry, algebra, calculus, and other related areas. Its flexibility makes it a valuable tool for visualizing complex concepts and enhancing students' understanding. Second, the utilization of GeoGebra spans both high school and college levels, showing its wide acceptance in diverse educational settings. The software has proven beneficial for learners at different academic stages, allowing them to explore mathematical concepts interactively. Third, the use of GeoGebra has demonstrated positive impacts on students' learning outcomes. It enhances engagement, fosters better comprehension of abstract ideas, and significantly improves students' higher-order thinking skills, such as problem-solving, critical thinking, and creative reasoning. Furthermore, the study revealed that GeoGebra had been widely used in various regions of Indonesia, particularly in the western parts, indicating growing interest in integrating ICT tools in mathematics education. Teachers and educators in these regions have adopted the software to facilitate more dynamic and interactive learning environments. In conclusion, the findings of this study highlight the effectiveness of GeoGebra in improving students' learning outcomes and mathematical thinking skills. Its potential for fostering a deeper understanding of mathematics and enhancing cognitive abilities makes it a valuable resource for educators.
Optimizing Variable Selection with Bayesian t-Lasso Regression: A Comparison of Normal-mixture and Uniform-mixture Representations for Outlier Data Analysis Mohmmad Nasim Wafa; Shuja, Shujauddin
Polyhedron International Journal in Mathematics Education Vol. 2 No. 1 (2024): pijme
Publisher : Nashir Al-Kutub Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59965/pijme.v2i1.105

Abstract

One of the discussed parts of the regression model is choosing the optimal model. The choice of the optimal model in regression models is to determine the important explanatory variables and the negligible variables and to express the relationship between the response variable and the explanatory variables in a simpler way. With the limitations of classical variable selection processes such as step-by-step selection, compensated regression methods can be used. One of the compensated regression models is Lasso regression. For data collection and statistical analysis in the presence of remote observations, instead of normal distribution, T-Student distribution can be used for the error of these data. In this article, we propose a variable selection method called T-Lasso Bayesian regression model for data analysis in the presence of outlying observations. Bayesian t-lasso regression model with two different representations of Laplace's prior density function for the coefficients of the regression model is investigated, so that first the Laplace density function is discussed in the form of mixed distribution-normal scale and then in the form of mixed distribution-uniform scale. Then, by using simulation methods and real data analysis, the superiority of the Bayesian T-lasso regression method is shown by showing the Laplace density function in mixed-uniform scale over normal mixed-scale display.

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