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Indonesia is a country rich in culture, one of which is batik, recognized by UNESCO as an intangible cultural heritage of Indonesia. Batik is not only a visual art form but also holds significant potential as a context for teaching mathematics. Unfortunately, the integration of local culture into mathematics education has not been widely implemented. Therefore, this community service activity aims to train teachers and assist students in applying Realistic Mathematics Education (RME) based on batik culture at MTs Nurul Ummah Kotagede, Yogyakarta. The activity was carried out in three stages: preparation, implementation, and evaluation. In the preparation stage, teachers were provided with training on the theory and practice of RME, which was then applied in the classroom. The lesson focused on geometric transformations, using batik patterns as a real-world context. By linking mathematical concepts to the familiar cultural context of batik, it was hoped that students would more easily understand abstract mathematical ideas and find them more meaningful. The results of the activity showed high enthusiasm from the students and positive appreciation from the teachers toward the RME model based on culture. Students demonstrated a better understanding of mathematical concepts, as the learning process connected theoretical knowledge to real-world contexts they recognized. Additionally, teachers acknowledged that using batik culture in mathematics education made the learning experience more enjoyable and meaningful. This activity proves that integrating local culture, such as batik, into RME can increase students' interest in mathematics and help them understand abstract concepts by relating them to real-life experiences.

Limited access to learning resources appropriate to the local context presents a challenge in the mathematics learning process in indigenous communities such as the Baduy Tribe. Conventional mathematics learning is often considered too abstract and less relevant to the daily lives of Baduy children, especially in the Outer Baduy region. To address this challenge, this community service activity aims to introduce contextual mathematics learning media based on the surrounding environment and local culture. The media developed is designed to be easily accessible, affordable, and environmentally friendly, while still respecting prevailing traditional values. The method used in this activity is Participatory Action Research (PAR), with a collaborative approach between a team of lecturers and the Outer Baduy community. The activity implementation process includes six stages, namely: identification of local problems and potential, planning, designing learning media, implementation, evaluation, and documentation of activity results. The results of the activity show an increase in interest and understanding of basic mathematics concepts among Outer Baduy children. Children appear more active, enthusiastic, and confident in participating in the learning process through educational games and concrete activities. The media used utilizes natural objects and local cultural elements, such as woodcuts, ancient angklungs, traditional hats, and distinctive Baduy woven motifs. The community responded positively because these media do not conflict with traditional values. This activity has had positive cognitive and social impacts and strengthened awareness of the importance of a contextual and culturally based educational approach as a relevant and inclusive learning strategy.  

This research aims to develop a mathematics teaching module based on differentiated learning integrated with the Project-Based Learning (PjBL) method, specifically for the topic of spatial structures ("get up room") for students at Nanasi 1 Elementary School. The development process follows the 4D model, which includes the stages of Define, Design, Develop, and Disseminate. In the Define stage, analysis revealed the absence of instructional modules that align with students' learning styles and needs. Consequently, learning objectives were formulated based on geometric elements and problem-solving criteria. During the Design stage, a prototype module and validation instruments were produced. Validation was conducted by two experts, yielding high scores for both content and visual presentation—each achieving 90% validity. Practicality assessments also showed strong results, with content rated at 90.8% and visual aspects at 90%, categorizing the module as “very valid” and “very practical.” The integration of the PjBL method was implemented to enhance active student participation, encouraging collaborative exploration and real-world application of mathematical concepts. The developed module is considered suitable for supporting differentiated mathematics instruction in elementary schools. It accommodates diverse learning styles and promotes student engagement through project-based tasks. The findings suggest that combining differentiated learning with PjBL fosters a more inclusive and effective learning environment, particularly in geometry-related topics. This module not only meets pedagogical standards but also contributes to the advancement of innovative teaching practices in primary education.

Free association among adolescents is a social problem that is increasingly worrying, especially in the current era of globalization. Adolescents' lack of understanding regarding behavioral boundaries in social interactions can have various negative impacts, both physically, psychologically, and socially. To address this, this community service activity was conducted with the aim of providing education about the dangers of free association to students of MA Mathla'ul Anwar Pandeglang. A total of 25 students participated in this activity. The media used was a snakes and ladders game that had been educationally modified to suit the material presented. The implementation method included interactive lectures, educational games, group discussions, and learning evaluations through pre- and post-tests. The results of the activity showed a 34% increase in students' understanding of the dangers of free association after participating in the entire series of activities. In addition, the snakes and ladders game media proved effective as a fun learning tool and was able to increase active student participation. This game also helped students more easily understand and remember the material presented. With this creative and participatory approach, it is hoped that education about healthy associations and adolescent character can be better accepted and implemented in everyday life. This activity is expected to become an alternative model for character education in schools and can be implemented sustainably in various educational institutions.

Free association among adolescents is a social problem that is increasingly worrying, especially in the current era of globalization. Adolescents' lack of understanding regarding behavioral boundaries in social interactions can have various negative impacts, both physically, psychologically, and socially. To address this, this community service activity was conducted with the aim of providing education about the dangers of free association to students of MA Mathla'ul Anwar Pandeglang. A total of 25 students participated in this activity. The media used was a snakes and ladders game that had been educationally modified to suit the material presented. The implementation method included interactive lectures, educational games, group discussions, and learning evaluations through pre- and post-tests. The results of the activity showed a 34% increase in students' understanding of the dangers of free association after participating in the entire series of activities. In addition, the snakes and ladders game media proved effective as a fun learning tool and was able to increase active student participation. This game also helped students more easily understand and remember the material presented. With this creative and participatory approach, it is hoped that education about healthy associations and adolescent character can be better accepted and implemented in everyday life. This activity is expected to become an alternative model for character education in schools and can be implemented sustainably in various educational institutions.

Information technology is a technology used to manage data, including processing, acquiring, organizing, storing, and manipulating data in various ways to produce high-quality information—namely, information that is relevant, accurate, and timely. This information is used for personal, business, and governmental purposes, serving as strategic information in decision-making. To anticipate changes in weather conditions, particularly rainfall, a valid and accurate report is needed that can be useful for the public. So far, the correlation or relationship between the factors influencing weather conditions—especially rainfall—has not been precisely determined, making it mathematically difficult to create a model that can describe the correlation among all these factors. This is where Artificial Neural Networks (ANN) come into play: to create such models and map out the existing problems purely based on the input data provided. One of the capabilities of neural networks is to make predictions based on previously learned data using the backpropagation method.

This study aims to determine the influence of students' learning habits on learning outcomes in Mathematics subjects in grade IV students of SD Negeri 200307 Padang Sidempuan. The background of this research is the importance of the role of structured and consistent learning habits in supporting the achievement of optimal learning outcomes, especially in logical and analytical subjects such as Mathematics. This study uses a quantitative approach with a descriptive survey method to obtain an objective picture of the relationship between variables. The population in this study is all grade IV students, and the sampling technique was carried out by purposive sampling, with a sample of 26 students selected based on certain criteria. Data collection was carried out through an instrument in the form of a Likert scale questionnaire as many as 60 previously validated statements, in order to measure the level of students' learning habits. Meanwhile, student learning outcome data is obtained from their academic scores in Mathematics subjects. Data analysis was carried out using a parametric statistical test in the form of a t-test to test the proposed hypothesis. The test results showed that the tcount value of 1.909 was greater than the ttable of 1.695, which means that there was a significant influence between students' learning habits on Mathematics learning outcomes. Thus, it can be concluded that good study habits make a real contribution to improving student learning outcomes. These findings are an important basis for teachers and schools to continue to encourage and foster positive learning habits among students. The implications of this study also recommend the need to strengthen independent learning strategies and effective study time management as part of the learning program in elementary schools.  

Relations in mathematics are a fundamental concept that describe the connection between two sets. This concept is crucial because it forms the foundation for understanding functions and various other mathematical topics. In everyday life, relations can be found in numerous real-world situations, such as the relationship between teachers and their students, sellers and buyers, or students and their exam scores. By understanding relations, students can see how elements from one set are linked to elements in another set based on specific rules. Unfortunately, many students still find it difficult to grasp the concept of relations because it is often taught in an abstract way, filled with mathematical symbols that are not connected to their real-life experiences. As a result, students may feel that the topic is irrelevant to their lives, leading to a lack of interest and poor comprehension. In fact, if taught contextually and practically, the concept of relations can serve as a key bridge to help students understand functions and their relevance in the real world. This article aims to explain the concept of relations through a more practical and relatable approach. For example, it can be illustrated by connecting students' names with their attendance numbers, or linking foods with their nutritional contents. Through these examples, students can see that relations are not just rigid parts of a math lesson but also reflect meaningful connections in everyday life. In this way, it is expected that students will gain a more comprehensive understanding of relations—not only mathematically but also in terms of practical application and functionality. A solid understanding of relations will make it easier for students to learn advanced concepts such as functions, mappings, and mathematical logic. Therefore, a learning approach that emphasizes contextual understanding is essential, so that students are not merely memorizing formulas but are also capable of applying the concept of relations in real-world situations.

This study aims to analyze the implementation of the Think Pair Share (TPS) learning model in improving problem solving skills in fractional materials for grade V students at SD Negeri 3 Mantingan. The background of this research is the low ability of students to solve fractional problems, mainly due to procedural misconceptions and lack of opportunities to discuss and construct understanding collaboratively. The method used is the Kemmis and McTaggart model Class Action Research (PTK), which consists of four stages: planning, action, observation, and reflection. The research was conducted in one cycle, involving 28 students as subjects. Data collection was carried out through evaluation tests (pre-cycle and cycle I) as well as observation of student learning activities. The results of the study showed a significant increase in problem solving ability. The average score of students increased from 36.43 in the pre-cycle to 93.21 in the first cycle, with a t-test of 25.18 and a p< value of 0.001, indicating a high significance. Learning completeness increased from 0% to 100%. The TPS model has been proven to be able to overcome misconceptions, especially through the peer scaffolding process in the "pair" stage, which helps students in identifying variables and choosing the right calculation operations. In addition, there was an increase in students' collaborative skills in terms of expressing opinions and asking questions, with an achievement range between 68% to 75%. The main obstacles faced in the implementation of polling stations are the management of discussion time and class noise. However, this was successfully overcome through the use of timers and Student Worksheets (LKPD) equipped with scaffolding questions. It can be concluded that the TPS model is an innovative and effective approach in improving mathematical problem solving skills contextually, in line with the principles of the Independent Curriculum.

The Faculty of Mathematics and Natural Sciences (FMIPA) of the University of East Kalimantan (Unikaltar) consistently conducts satisfaction surveys to improve the quality of services provided to students. This survey aims to evaluate the performance of each work unit, including lecturers, with the hope that the results obtained can identify aspects that are still hampering or suboptimal. The survey results serve as the basis for formulating steps to improve and enhance the quality of educational services within the faculty. This study specifically highlights the level of student satisfaction with the performance of lecturers in the Islamic Religious Education course. The survey implementation process includes several stages, starting from data collection using a survey instrument, the data input process, and testing the validity and reliability of the instrument to ensure data reliability. Next, the collected data is processed and analyzed to obtain an objective picture of student perceptions. Based on the analysis, the student satisfaction index value obtained is 3.16. This figure is in the "Good" or "Satisfied" category, indicating that students are generally satisfied with the service and learning process carried out by lecturers in the course. These findings provide important input for the institution in maintaining and improving the quality of learning, particularly in the field of religious studies. In the future, it is hoped that similar surveys can continue to be carried out periodically so that the service improvement process can run continuously.

This study aims to improve the critical thinking skills of fourth-grade elementary school students in understanding the concept of fractions through the application of the Problem Based Learning (PBL) model. The background of this study focuses on students' still low abilities in: (1) analyzing mathematical problems; (2) planning solution strategies; (3) drawing logical conclusions when working on fraction problems. This study uses the Classroom Action Research (CAR) design model Kemmis & McTaggart which was implemented at SD Negeri 2 Tahunan during the even semester of the 2024/2025 academic year. The research subjects consisted of 23 fourth-grade students who were selected purposively based on the results of the initial diagnosis. Data collection techniques were carried out by triangulation through: (1) formative evaluation tests; (2) participatory observation sheets; (3) learning video documentation; and (4) field notes. Data were analyzed quantitatively and qualitatively with a comparative descriptive approach. The results showed that the application of the PBL model was proven to be effective in improving: (1) students' critical thinking skills on average from 39.13 (low category) to 92.61 (very good category); (2) classical completeness from 8.7% to 91.3%; and (3) learning activities became more meaningful. Statistical analysis of paired sample t-test showed a significant difference (t=19.09; p<0.05) between before and after treatment. Other important findings include: (1) an increase in students' questioning skills by 78%; (2) an increase in the ability to provide arguments by 82%; (3) an increase in problem-solving skills by 85%. In addition, there was an increase in the following aspects: (1) group cooperation; (2) self-confidence; and (3) active involvement in class discussions.

This study aims to compare the effectiveness of the Deep Learning and Differentiated Instruction models in improving junior high school students’ mathematical problem-solving and reasoning abilities. The background of this research stems from the low level of mathematical literacy among Indonesian students, which demands innovative and reflective learning approaches. A quasi-experimental method was used with a Nonequivalent Control Group Design. The sample consisted of two eighth-grade classes at SMP Negeri Satu Atap 01 Ciseeng, each receiving different instructional treatments: one class was taught using the Deep Learning approach, and the other using the Differentiated Instruction approach. The instruments employed included mathematical problem-solving tests, observation sheets, and student perception questionnaires. The data analysis results indicated that the class taught with the Deep Learning model experienced a more significant improvement in mathematical reasoning ability compared to the class using Differentiated Instruction. These findings suggest that Deep Learning-based instruction is more effective in promoting students’ higher-order thinking skills. It encourages deeper engagement with mathematical concepts, fosters critical and analytical thinking, and allows students to construct knowledge through meaningful learning experiences. However, Differentiated Instruction remains relevant in providing learning comfort and addressing diverse student needs, making it beneficial in inclusive classroom settings. The theoretical and practical implications of this research highlight the importance of integrating both depth of thinking (Deep Learning) and flexibility in learning (Differentiation) within mathematics instruction. Such integration could offer a balanced learning environment that supports both cognitive development and emotional engagement, leading to more effective and equitable mathematics education. In conclusion, this study recommends educators and curriculum developers to consider incorporating Deep Learning strategies to enhance students’ mathematical reasoning while maintaining the adaptive and student-centered principles of Differentiated Instruction. Future research could explore hybrid learning models that combine the strengths of both approaches to maximize student outcomes in mathematics learning.

This research focuses on exploring the mathematical reasoning abilities of Madrasah Aliyah students in solving problems that integrate mathematical concepts with the Islamic science of faraidh (inheritance law), specifically within the topic of fractions. The study employs a qualitative approach with a case study design and was conducted among 11th-grade students enrolled in the Religious Program at MA Raudlatul Ulum Putri. Data collection techniques included written tests, semi-structured interviews, and classroom observations, focusing on three selected students who represented high, moderate, and low levels of mathematical ability. The analysis centers on several key indicators of mathematical reasoning: identifying problems, formulating hypotheses, presenting logical arguments, and drawing conclusions. The results show that most students fall into the moderate reasoning category, while a smaller number are categorized as high or low. Students in the high category demonstrate a strong capacity to approach problems systematically and accurately, combining mathematical logic with a proper understanding of Sharia-based inheritance rules. In contrast, students in the low category struggle with interpreting problem contexts and executing fraction calculations correctly, which indicates gaps in both conceptual understanding and application skills. These findings underscore the importance of contextual and integrative learning, particularly the combination of mathematics with Islamic values, to enhance deeper comprehension. By embedding religious relevance into mathematical instruction—especially through real-life contexts such as inheritance laws—educators can support the development of more meaningful reasoning abilities. The study suggests that integrating mathematics and Islamic teachings can significantly benefit student learning outcomes and foster stronger conceptual foundations.

The study presents a comprehensive framework for optimizing customer retention budget by integrating clustering, classification, and mathematical optimization techniques. The study begins with the IBM Telco dataset, which is prepared through data cleansing, encoding, and scaling.  In the preliminary phase, customer segmentation is performed using K-Means clustering, with k = 3 and k = 4 identified as optimal based on the elbow method and Silhouette score. The configurations produced three (Premium, Standard, Low) and four (Premium, Standard Plus, Standard, Low) customer segments based on purchase preferences, which served as input features for churn prediction. In the second phase, the dataset was divided into training and test sets in an 80:20 ratio, followed by data balancing using the Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN). Multiple classification algorithms were evaluated, including Naive Bayes (NB), Random Forest (RF), Categorical Boosting (CatBoost), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost), Gradient Boosting (GB), Support Vector Machine (SVM), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) using F1-score as the performance metric. CatBoost and LightGBM, with k values of 3 and 4, respectively, were the highest-performing classification models, with only minimal differences in performance.    Ultimately, customer segmentation established customer prioritization, whereas churn prediction assessed customer churn likelihood. Four distinct configurations were assessed utilizing mixed-integer linear programming (MILP) to optimise retention budget allocation within uniform budget constraints, discount amounts, and churn thresholds. In both the k=3 and k=4 scenarios, CatBoost surpassed LightGBM, with CatBoost at K=3 effectively discounting 66% of at-risk consumers across all three segments, hence improving the intervention's efficacy and budget allocation, making it the ideal choice for maximizing customer retention. The results demonstrate the importance of segmentation in enhancing retention budgeting and budget optimization, particularly concerning parameter sensitivity.

This study was conducted to examine how well the use of augmented reality (AR) learning tools helps fifth-grade elementary school students understand mathematical concepts related to fractions.. The research was motivated by students' limited comprehension of the abstract nature of fractions and the lack of engaging educational tools capable of presenting the material in a meaningful and interactive way. Augmented reality is believed to improve student engagement and offer more appealing visual representations by integrating virtual elements into the real-world environment. A total of 30 students I participated in this study, which used a quasi-experimental design with a One Group Pretest-Posttest method. Information was collected through pre-tests, post-tests, written notes, and observations. We used SPSS software to analyze the data. The results showed that students' grades improved significantly, with the average increasing from 54.80 in the pretest to 91.83 in the posttest. The normality test indicated that while pretest scores were approximately normally distributed, the posttest scores followed a normal distribution. A one-sample t-test showed a statistically significant effect of AR media usage, with a p-value of 0.000 and t-values substantially higher than the critical value (pretest: 32.439; posttest: 112.071). These results suggest that AR-based instructional media are effective in supporting elementary students’ understanding of fraction concepts. Overall, the study confirms the positive impact of augmented reality in mathematics learning for fifth-grade students.

This study aims to improve the understanding of third grade elementary school students on time measurement material through the application of the Numbered Heads Together (NHT) learning model with board game media. The main problem in conventional learning is the low active involvement of students and the difficulty in understanding the concept of time concretely. This research is a Classroom Action Research (PTK) conducted in two cycles using the Kemmis and McTaggart model. The research subjects were 23 third grade students of SDN 1 Langon, Jepara. Data collection techniques included observation, interviews, tests, and documentation. The results showed a significant increase in student understanding, which was marked by an increase in the average score from 65.3 in the pre-cycle to 85.3 in cycle I, as well as an increase in learning completeness from 40% to 68%. Students were more active in discussions, motivated, and able to explain the concept of time independently. The NHT and board game model creates a collaborative and fun learning atmosphere and supports students' cognitive, social and emotional development. These results prove that educational game-based learning strategies are effective in improving the understanding of abstract mathematical concepts, especially time measurement.

This thesis discusses efforts to increase students’ interest in learning Mathematics through the use of concrete media among third-grade students at SDN 110/1 Tenam. The purpose of the study is to improve students’ interest in learning Mathematics by using concrete media with these third-grade students. The results of the study show an increase in learning activities that indicate student interest during Cycle I and Cycle II. In Cycle I, all student learning activities were still at percentages below 70%, with ratings categorized as poor and adequate. Meanwhile, in Cycle II, the increase in student learning activities was shown by all activities reaching percentages above 74%, which means they exceeded the predetermined Learning Objectives Achievement Criteria (KKTP) and were rated good and very good. In addition, improved learning outcomes, as evidence of increased student interest, also showed a significant rise. In Cycle I, students’ learning outcomes did not meet the Learning Objectives Achievement Criteria (KKTP), with a class average of 68.9%, whereas in Cycle II, overall class mastery reached 82.3%. This improvement in learning outcomes indicates that students showed fairly good interest when learning with concrete media.

This study aims to develop an accurate predictive model for identifying students at risk of academic dropout using Decision Tree and Random Forest algorithms. The research utilizes a publicly available dataset sourced from Kaggle, which includes academic and demographic features such as GPA, attendance, credit load, financial aid status, and exam scores. The methodology involves several stages: data collection, preprocessing (handling missing values, encoding categorical variables, and feature scaling), model training, and evaluation using performance metrics such as Accuracy, Precision, Recall, F1-Score, and Confusion Matrix. Results show that the Random Forest algorithm outperforms Decision Tree in terms of accuracy and robustness, with notable feature importance on math, reading, and writing scores. The findings highlight the potential of machine learning in early detection of dropout risks and provide actionable insights for academic institutions to design timely interventions. This research contributes to the growing field of educational data mining and supports data-driven decision-making processes in higher education management.

The pursuit of inclusive mathematics instruction requires educators to adopt adaptive teaching approaches, with differentiated instruction (DI) emerging as a key component. This study explores how future mathematics teachers perceive DI, especially regarding their grasp of its core principles, confidence in instructional application, preparedness to implement, and perspectives on its advantages and obstacles. Employing a descriptive quantitative access, data were collected through a 50-item Likert-scale questionnaire administered to 25 mathematics education students from three universities in Indonesia. The findings affirm comprehensive favorable attitudes toward DI, with mean scores ranging between 3.98 and 4.01. Respondents advertised strong theoretical comprehension of DI and showed enthusiasm about integrating it into their teaching practices. However, challenges such as limited instructional time and deficient firsthand experience in crafting differentiated lessons were acknowledged. These acumen highlight the importance of assimilation more practical, experience-based training within teacher education programs to equip future educators for implementing inclusive and differentiated teaching effectively. 

The purpose of this research is to determine the effect of Lectora Inspire-based learning media on student learning outcomes in Mathematics for 2nd grade students at SD Negeri 101788 Marindal I during the 2024/2025 academic year. This research adopts an experimental study with the True Experimental Design using a Pretest-Posttest Control Group Design. The population consists of all 2nd grade students at SD Negeri 101788 Marindal I, while the sample consisted of Class II A as the experimental group and Class II B as the control group. The research instruments were tested through validity testing, reliability testing, item discrimination analysis, and item difficulty analysis. Data analysis techniques used in this research is the normality test, homogeneity test, and hypothesis testing. The results of the hypothesis test on the pretest and posttest of the experimental class showed that tcount > ttable  is 41,223 > 1,713. While the results of the hypothesis test on the pretest and posttest in the control class showed that tcount >  ttable is 12,901 > 1,724. These results indicate that Ha is accepted, meaning there is a significant effect of Lectora Inspire-based learning media on student learning outcomes Mathematics for 2nd grade at SD Negeri 101788 Marindal I during the 2024/2025 academic year.