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This research is motivated by the fact that students at SMP Negeri Buti show varying levels of learning interest, with some having high interest and others low. Interviews with the mathematics teacher revealed that overall student interest is low, especially among male students who tend to be disruptive during lessons. Therefore, the researcher aimed to explore students' interest in learning mathematics through game simulation-based learning, viewed from a gender perspective. This descriptive qualitative study involved 30 eighth-grade students at SMP Negeri Buti as research subjects. Data were collected through observation, questionnaires, and documentation. The results showed that most students did not pay attention to the teacher’s explanations, and there were gender-based differences in learning interest among seventh-grade students, with male students showing higher interest than female students. It was concluded that overall, the eighth-grade students at SMP Negeri Buti demonstrated a very low level of learning interest. owever, after the implementation of the simulation game, there was a significant increase in interest in learning.  

This study aims to analyze various obstacles faced by fifth grade students of Muhammadiyah Nglatihan Elementary School in understanding the concept of spatial figures. This study uses a qualitative approach combined with descriptive methods to obtain an in-depth picture of the phenomenon being studied, as a basis for describing the phenomenon being studied in depth as the main analysis framework. Data collection was carried out through direct participatory observation of 15 students during the mathematics learning process. The results of the study revealed that students experienced obstacles in visualizing three-dimensional shapes, distinguishing elements of spatial figures such as sides, edges, and vertices, and applying volume and surface area formulas correctly. These difficulties are caused by the lack of use of concrete media and learning approaches that are not in accordance with the stage of students' cognitive development.

This study aims to analyze students’ difficulties in understanding the concept of Stokes’ Theorem in the Vector Calculus course. The method used is a descriptive qualitative approach with data collected through semi-structured interviews with mathematics education students who have studied the topic. The results show that students struggle to comprehend the relationship between line integrals and surface integrals, as well as to connect the concept of curl with vector direction in three-dimensional space. Limited understanding of prerequisite material and the lack of visual media further exacerbate these difficulties. Students reported that learning methods based on visualization and group discussion were helpful. This study recommends the use of contextual learning strategies and interactive media to improve students’ understanding of abstract concepts in Stokes’ Theorem.

This study aims to improve students' learning outcomes in Social Sciences (IPS) through the implementation of the Science, Technology, Engineering, and Mathematics (STEM) learning model. The background of this study is based on the low learning outcomes of IPS in class VII of SMP Negeri 3 Jakarta, as well as the lack of variations in innovative learning models. The study used the Classroom Action Research (CAR) method of the Kemmis and McTaggart model which was carried out in two cycles. Each cycle includes the stages of planning, implementation, observation, and reflection. The subjects of the study were 36 class VII-B students. Data collection techniques used learning outcome tests, observations, interviews, and documentation. The results of the study showed a significant increase in student learning outcomes. In the first cycle, the percentage of students who achieved the Minimum Completion Criteria (KKM) was 77.77%, increasing to 91.6% in the second cycle. In addition, student activity in learning activities also increased. These results prove that the Science, Technology, Engineering, and Mathematics (STEM) learning model is able to integrate social studies concepts with real situations, thus facilitating students' understanding and improving the quality of learning.    

This study is a literature review that aims to identify and analyze the application of GeoGebra applications in learning geometric transformations at the high school level. Geometric transformation is a material that requires high spatial visualization skills, so learning media are needed that are able to present concepts in a concrete and interactive way. GeoGebra, as a dynamic mathematics application, is considered capable of facilitating student understanding through direct visualization of transformation processes such as translation, reflection, rotation, and dilation. The study was conducted by reviewing 11 relevant scientific articles, published in the last five to ten years, and meeting certain inclusion criteria. The results of the analysis show that the application of GeoGebra in learning has a positive impact, both cognitively, affectively, and technically. GeoGebra is able to improve students' understanding of concepts, learning motivation, and learning outcomes. The implementation strategy includes the development of e-modules, digital teaching materials, problem-based learning, and application usage training. Overall, GeoGebra has proven to be valid, practical, and effective in supporting more interesting and meaningful learning of geometric transformations.

mathematical instruction often lacks relevance to students’ real-life contexts, necessitating more meaningful and contextualized approaches. This study aims to integrate geometric concepts and ethnomathematics through the utilization of ketupat a traditional Indonesian cultural artifact as a culturally grounded instructional medium. A descriptive qualitative method was employed, using literature review and contextual observation of the geometric structure of ketupat. The findings reveal that ketupat encompasses geometric elements such as symmetry, three-dimensional forms, woven patterns, and calculations of volume and surface area. Moreover, ketupat holds significant symbolic meaning within Indonesian culture, making it a relevant bridge between mathematical concepts and local values. The study concludes that using ketupat as a contextual medium enhances students’ conceptual understanding of geometry and strengthens the integration of cultural values within mathematics education.

Education is one of the fields that continuously evolves alongside the rapid  advancement  of technology. One effort to enhance the quality of education is by implementing a scientific approach in the learning process. This research aims to analyze the contribution of the scientific learning approach to the development of students' self-directed learning at SDN Semper Barat 11, especially in class V. The research method used is descriptive qualitative with data collection techniques through interviews, observations, and documentation. The results show that lesson planning with a scientific approach is well executed, covering the setting of learning objectives, selection of learning models, strategies, learning media, and evaluation. The implementation of learning with a scientific approach in class V is carried out through activities such as observing, questioning, gathering information, reasoning, and communicating. The research also indicates that students experience an improvement in self-directed learning, characterized by active engagement in learning, high motivation, initiative-driven learning, and self-control. Thus, the scientific learning approach significantly contributes to the development of students' self-directed learning at SDN Semper Barat 11. This research provides valuable insights for educational practitioners in designing more effective learning strategies and offers empirical groundwork for enhancing learning methods oriented towards developing students' self-directed learning.

This research employs a Systematic Literature Review (SLR) approach to analyze the application of the simplex method as a tool for solving real-world optimization problems. Mathematics education plays a crucial role in developing critical thinking and achieving accurate results. Linear programming, with its highly effective simplex method, is a branch of mathematics proven to solve various optimization challenges such as cost minimization, profit maximization, distribution, and scheduling. In practice, the simplex method is an alternative algorithm that systematically searches for the optimal solution to problems by moving from one feasible solution to another until the best result is achieved. This study identifies, examines, evaluates, and interprets relevant studies on the simplex method's application in real-world contexts. Our review of 20 journals reveals that the simplex method is highly effective in solving a wide range of optimization problems, from large-scale industries to Micro, Small, and Medium Enterprises (MSMEs). Examples of its application include optimizing fish feed costs at PT. Indojaya Agrinusa, maximizing profits for Seblak MSMEs, determining optimal sales quantities for areca nuts, and optimizing the production of tofu and pottery crafts, among others. The simplex method's ability to consider various limiting factors has proven to be extremely helpful.

This study aims to examine the use of Macaulay2 software in improving students' computational thinking skills in mathematics learning, especially in abstract algebra material. Macaulay2 as an open-source Computer Algebra Sistem (CAS) provides a symbolic and algorithmic environment that encourages logical and systematic exploration of mathematical concepts. Literature reviews show that the use of Macaulay2 can strengthen conceptual understanding, train computational thinking, and introduce mathematical programming to students. However, technical challenges, limited Indonesian language teaching materials, and limited educational infrastructure are obstacles that need to be overcome through collaboration between educational stakeholders.

Mathematics learning in elementary schools still faces several challenges, including low student motivation and critical thinking skills. One innovative solution is the implementation of the Problem Based Learning (PBL) model. This study aims to examine the effectiveness of PBL in improving elementary students’ conceptual understanding and critical thinking in mathematics. This research employed a Classroom Action Research (CAR) method conducted in two cycles involving fifth-grade students at [School Name] Elementary School. Data were collected through observations, tests, interviews, and documentation. The results show that the implementation of the PBL model increased student engagement, problem-solving ability, and the average score of conceptual understanding in mathematics. Therefore, PBL is proven to be effective in fostering meaningful learning and promoting higher-order thinking skills. It is recommended that elementary mathematics teachers integrate PBL as a student-centered learning approach.

This study aimed to develop a competency-based performance evaluation model for mathematics teachers at the junior secondary level. Recognizing the crucial role of teacher quality in student achievement, the study focused on measurable aspects of performance, including content mastery, instructional management, and professional commitment. A quantitative approach was employed using a research and development (R&D) framework, supported by a quasi-experimental design with pretest-posttest control groups. Data were collected via structured questionnaires, classroom observations, interviews, and expert validations through focus group discussions. Statistical analyses included descriptive statistics, ANOVA, t-tests, and confirmatory factor analysis using SPSS and LISREL. The results indicated that the developed model effectively differentiated teacher performance across various school categories, with 45% categorized as good, 53% adequate, and 2% poor. Student achievement was positively correlated, with 82% achieving the minimum competency threshold. The factor analysis confirmed a valid measurement model: F1 = 0.505ZX1 + 0.475ZX2 + 0.308ZX3, explaining 57.92% of the variance in teacher performance. The findings suggest that teacher evaluation must integrate multidimensional competencies and contextual factors to be accurate and actionable. This study contributes a validated, data-driven evaluation framework aligned with national standards and global educational expectations, offering practical implications for policy, supervision, and teacher development.

Academic motivation in mathematics remains a critical factor influencing student engagement and performance. This study examined the mediating effect of self-efficacy on the relationship between goal setting and academic motivation among college students. Using mediation analysis, 100 participants were selected through stratified random sampling. Results indicated that self-efficacy partially mediates the relationship, but goal setting unexpectedly had a negative effect on self-efficacy, suggesting that specific goal-setting strategies may introduce pressure or unrealistic expectations. This finding challenges the assumption that goal setting always enhances confidence and motivation. Future research may explore alternative mediating factors and variations in goal-setting strategies. Additionally, educational interventions should integrate self-efficacy-enhancing techniques such as mastery experiences and peer support to maximize student motivation and achievement in mathematics.

This research aims to determine whether there is a relationship between mathematics learning outcomes and physics learning outcomes by taking the subject of exponent numbers in mathematics and the subject of temperature and heat in physics. This research was conducted on class X students at SMA Negeri 6 Tangerang in the second semester. The sample was taken at simple random (cluster sampling) by taking one class from nine existing classes with a total of 30 students. The method used is a survey method with correlation techniques. The independent variable in this research is the results of learning mathematics, while the dependent variable is the results of learning physics. Before the data is analyzed, the requirements test is first carried out, namely the normality test using the Lilliefors test and the regression significance test using analysis of variance (ANOVA). From the results of the normality test for the independent variable, it was obtained that L-count = 0,08770 < 0,161 = L-table, while for the dependent variable it was obtained that L-count = 0,1108 < 0,161 L-table, so it can be concluded that the two samples were normally distributed. The results of linear regression calculations are obtained  The linearity test obtained F-count 1,067 < 2,45 = F-table so it can be concluded that the regression model is linear, meaning there is a linear relationship between the two variables. The regression significance test obtained F=count = 34,732 > 4,20 = F-table. This means that the regression model is significant. Hypothesis testing was carried out using product moment correlation analysis, then calculating the significance of the correlation using the student t-test. The results of the correlation coefficient calculation obtained r-count = 0,744 and the results of the t-student test calculation obtained t-count = 5,892, while the t-table value with a significance level of  α=0,05 and degrees of freedom (dk) = 28  was 2,05. Because t-count = 5,892 < 2,05 = t-table means Ho is rejected. So the results of this research conclude that there is a relationship between mathematics learning outcomes and physics learning outcomes. The coefficient of determination (r2) was obtained at 0,554. This means that mathematics learning outcomes contribute 55,4% to physics learning outcomes.

This research aims to explore the ways in which teachers address the challenges of learning mathematics for children in primary schools by referring to behavioristic theory. This theory emphasizes the central role of stimuli and reactions in influencing learning behavior, and the application of both positive and negative reinforcement to improve students' motivation and understanding. The approach adopted was a descriptive qualitative method using case studies in various primary schools. The results indicated that behavior-focused methods, such as providing repeated practice of problems, immediate feedback, use of concrete tools, and regular application of rewards and punishments, can improve students' enthusiasm and mathematics learning outcomes. However, teacher-driven learning and lack of innovation are barriers to implementation. Therefore, a combination with other methods is needed to make the learning process more thorough.

The rapid advancement of information technology has driven the adoption of software tools in computational mathematics education, particularly at the university level. One widely utilized software is Scilab, an open-source platform for numerical computation and data visualization. This study aims to evaluate the effectiveness of Scilab in teaching computational mathematics through a literature review methodology. Peer-reviewed articles and research reports related to Scilab, published within the last five years, were systematically analyzed. The findings reveal that Scilab enhances students' grasp of computational mathematics concepts, simplifies the visualization of complex theoretical constructs, and boosts academic achievement. Key challenges in its implementation include instructor preparedness and the necessity for technical training. This study advocates for the integration of Scilab into higher education curricula to support technology-driven pedagogical approaches in computational mathematics.

The purpose of this study is to examine how deep learning influences students’ mathematical critical thinking skills. In mastering mathematics—which requires reasoning, analysis, and systematic review—critical thinking is essential to address the challenges of the 21st century. This research employs a quasi-experimental design using a pretest-posttest control group model. The subjects of the study were eighth-grade junior high school students, divided into an experimental group and a control group. The main instruments used were a mathematical critical thinking skills test and a learning activity observation sheet. The findings indicate that students who participated in instruction based on a deep learning approach showed a significant improvement in critical thinking skills compared to those who received conventional instruction. Unlike students who underwent standard learning methods, those exposed to deep learning strategies experienced a notable enhancement in their critical thinking abilities. Based on these findings, the implementation of deep learning is recommended more broadly in mathematics classroom instruction.

This study is a mini observation of literature that aims to examine the use of Mathway software in supporting students’ computational thinking skills during mathematics learning. The research method is Systematic Literature Review (SLR), by reviewing a number of relevant articles using Google Scholar. The results of the study indicate that the use of Mathway can help students understand the steps to solve problems systematically, improve analytical skills, problem solving, and understanding of mathematical concepts. In addition, this application is also able to increase learning motivation because it presents an interactive and interesting process. However, the use of Mathway needs to be done in a balanced way so that students do not depend entirely on the application and continue to develop understanding through other learning resources. Therefore, Mathway can function as an effective tool in learning as an improvement in students’ computational thinking skills in this digital age.

Dyscalculia is a specific learning disorder that affects students' ability to understand basic math concepts. Handling this condition requires the active role of the teacher as the main facilitator in the learning process. This study aims to describe in depth the role of teachers in handling students with dyscalculia at SLB Yasmin Sumenep, and highlight the importance of coordination patterns between teachers and parents in supporting students' learning success. Using a qualitative approach with a case study method, data was obtained through observation and in-depth interviews with teachers. The results show that teachers not only function as teachers, but also as motivators and emotional companions for students. Teachers apply concrete and fun learning strategies, and create a supportive classroom atmosphere. In addition, the communication pattern between teachers and parents through a special group is an important factor in monitoring children's development and developing appropriate learning solutions. So, the role of adaptive, collaborative and empathic teachers determines the effectiveness of mathematics learning for students with dyscalculia. This study emphasizes the importance of continuous teacher training and strengthening the synergy between school and family to realize inclusive education.  

This research aims to determine the estimated probability of failure for the number of FMIPA Untrib Kalabahi student graduates from 2018 to 2023 for each study program. This research uses secondary data obtained directly from the Untrib Student Affairs Academic Administration Bureau for the last six years from 2018 to 2023. The Binomial Distribution is a distribution of discrete random variables with two possibilities, namely success and failure. This research shows that the three study programs at FMIPA Untrib Kalabahi have different opportunity or probability values. For the mathematics study program, it can be seen that the largest predicted failure will be in 2022, namely 0.225585937500 and the smallest predicted failure will be in 2019, namely 0.000000000015. For the chemistry study program, the biggest failure estimate is in 2023, namely 0.37500 and the largest failure estimate is in 2021, namely 0.00006. For the informatics engineering study program, the largest failure estimate is in 2018, namely 0.0000000298023223876953 and the smallest failure estimate is in 2023, namely 0.000000000000000087.

Assessment of learning outcomes plays a crucial role in evaluating students' academic achievement. Midterm and final exam scores are often used as benchmarks for learning performance, yet the relationship between the two is rarely analyzed in depth. This study aims to examine the correlation between Midterm Exam (UTS) and Final Exam (UAS) scores in Mathematics among 11th-grade students at Bhakti Kencana Vocational High School in Bandung. A quantitative approach with a correlational method was employed, involving 30 students as the sample. Data were obtained through documentation of scores, and analysis was conducted using the Spearman Correlation Test due to the data not being fully normally distributed. The results indicated a significant and positive correlation between UTS and UAS scores, with a correlation coefficient of 0.511. This suggests that midterm scores can serve as a fairly reliable indicator of final exam performance and reflect the consistency of students' academic performance. The implications of these findings highlight the importance of continuous monitoring and learning efforts from mid-semester onwards to optimize students' final outcomes.