Abstract:Problem-solving ability is a skill that every individual must possess. Mathematical problem-solving is one of the skills that must be mastered in everyday life. This research aims to develop interactive learning media based…
sed on PBL to enhance students' mathematical problem-solving abilities. This research uses the Design and Development (D&D) method with the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The data collection technique in this study used a questionnaire with a Likert scale. The research results indicate that the PBL-based interactive media is suitable for use, with validation from subject matter experts at 97.2%, media experts at 97.6%, and product trials at 87.5%. The improvement in problem-solving skills was also measured through the N-Gain test, with an N-Gain result of 1, indicating a high criterion. The improvement in students' mathematical problem-solving skills increased after using PBL-based interactive media. This demonstrates the importance of media in delivering education. Media designed according to students' needs effectively and efficiently can enhance students' interest, motivation, and understanding in learning.
Abstract:This research is a quasi-experimental study conducted to improve students' mathematical problem-solving abilities, one of which is through the use of the Self-Directed Learning (SDL) instructional model. The objectives of…
f this study are to determine (a) the learning process using the Self-Directed Learning model; (b) the difference in improvement of students' mathematical problem-solving abilities between those using the Self-Directed Learning model and those receiving conventional (expository) instruction; and (c) students' attitudes toward mathematics learning using the Self-Directed Learning model. Data were collected using research instruments including tests in the form of mathematical problem-solving ability questions and non-tests such as student response questionnaires toward learning using the Self-Directed Learning model. This study was conducted at MAN 1 Gorontalo, with class X IPA-1 as the experimental class and class X IPA-2 as the control class, focusing on vector material. Based on the research results and n-gain data analysis, it was found that: (a) the description of the teacher and student learning process on quadrilateral vector material using the Self-Directed Learning model falls into the good category; (b) the improvement in mathematical problem-solving ability of students who received learning with the Self-Directed Learning model showed a moderate increase. Meanwhile, the improvement in mathematical problem-solving ability of students who received conventional learning showed a low increase. Therefore, there is a difference in the improvement of mathematical problem-solving ability between students using the Self-Directed Learning model and those using conventional learning; (c) most students who received learning using the Self-Directed Learning model responded positively to mathematics learning using this model.
Abstract:Mathematics learning plays an important role in developing logical thinking and problem-solving skills. However, for deaf students, understanding mathematical word problems remains a fairly complex challenge, mainly due…
to limitations in language and communication aspects. This study aims to examine the characteristics of the difficulties experienced by deaf students, analyze the implementation of the learning strategies used, and investigate their effectiveness in improving understanding of mathematical word problems. This research employs a qualitative approach using a literature study method. The findings indicate that the main difficulties lie in understanding the language used in the problems, identifying important information, and transforming it into mathematical models. Effective learning strategies tend to be visual, contextual, and communicative, supported by the use of interactive media. Nevertheless, the use of media alone is not sufficient without well-structured instructional strategies. These findings emphasize that the integration of adaptive learning strategies plays a more significant role in improving deaf students’ understanding of mathematical word problems.
Abstract:Calculus of Multiple Variables is a core course in the Mathematics Education study program and plays a crucial role in developing students advanced mathematical thinking skills. Success in this course relies heavily on mastery…
astery of the prerequisite material, particularly the concepts of derivatives and integrals of functions of one variable. Therefore, understanding mathematical concepts is a fundamental aspect that determines students’ ability to understand the interrelationships between topics and solve problems systematically and logically. This study aims to describe students' conceptual understanding of multivariable calculus. The approach used is a descriptive approach with a purposive sampling technique, namely selecting research subjects based on certain criteria in the form of the highest and lowest levels of mathematical concept understanding. The results of the study indicate that students conceptual understanding varies across different materials. In the partial derivative material, students were not yet fully able to accurately represent the solution concept, especially in applying the rules for derivatives of exponential functions, so the results obtained did not conform to mathematical principles. These errors are conceptual in nature and indicate a weak grasp of certain basic concepts. However, in the material on derivatives of products of two functions and triple integrals, students demonstrated goog conceptual understanding. They were able to select, use, and apply solution procedures appropriately and systematically. This finding indicates that despite weaknesses in certain concepts, students still possess quite good procedural and conceptual abilities in the context of other problems in polynomial calculus.
Abstract:The identification of error types based on Newman’s Procedure includes reading, comprehension, transformation, process skills, and answer encoding. The objective of this study is to describe the analysis of students’ errors…
errors in solving mathematical logic problems based on Newman’s Procedure. This research adopts a descriptive qualitative approach involving first year students enrolled in the mathematical logic course within the Information Systems program. Data were collected through a diagnostic test administered to three students representing different levels of academic ability: one low ability student, one moderate ability student, and one high ability student. Students’ ability levels were measured based on tests covering compound propositional logic and logical operations. Data analysis was conducted by classifying errors at each stage of Newman’s Procedure, tracing the underlying factors contributing to these errors, and relating them to students’ logical reasoning abilities. Accordingly, the research method employed in this study is descriptive qualitative research. The resulting error classifications were subsequently used by lecturers as a basis for recommending improvements in instructional strategies. The results indicate that students with low ability made errors across all stages from K1 to K5, students with moderate ability tended to make errors at the case exploration and process skills stages, while students with high ability were able to complete all stages systematically and consistently. These findings confirm that the Newman Procedure is effective in mapping students’ thinking errors. Therefore, the implementation of differentiated learning strategies that emphasize problem comprehension, case exploration, and logical verification is recommended to enhance students’ reasoning abilities
Abstract:This research aims to develop a mathematics learning device oriented toward the Realistic Mathematics Education (RME) approach based on Ethnomathematics to improve students’ mathematical problem-solving skills at MTs Negeri…
egeri 3 Tapanuli Selatan. The study employed a Research and Development (R&D) design using the 4-D model, which consists of four stages: defining, designing, developing, and disseminating. The research subjects were 36 seventh-grade students in the second semester of the 2022/2023 academic year. The instruments used included expert validation sheets, teacher and student practicality questionnaires, classroom observation sheets, and mathematical problem-solving tests. The results revealed that the developed learning device achieved an average expert validation score of 4.25 in the very valid category in terms of content, language, and presentation. The practicality test showed that the teacher’s response reached 89% and the students’ response reached 91%, categorized as very practical, indicating that the device was easy to use and engaging for students. The effectiveness test showed an average N-Gain score of 0.52 (moderate category) with 86.11% of students achieving mastery learning, signifying that the learning device was effective in enhancing students’ mathematical problem-solving abilities.
The integration of the realistic mathematics approach with local cultural elements (ethnomathematics) successfully created meaningful and contextual learning experiences while fostering students’ appreciation for their cultural heritage. Therefore, the developed learning device is feasible to be implemented as an innovative mathematics learning medium based on cultural contexts in junior high schools and madrasah.
Abstract:This study proposes a linear regression-based intelligent calibration approach to improve the accuracy of water turbidity sensor readings in an Arduino microcontroller-based embedded system. The primary objective of this…
research is to develop a mathematical model capable of converting analog values from the Analog-to-Digital Converter (ADC) into a numerical representation that reflects the actual water turbidity level in Nephelometric Turbidity Units (NTU). The calibration process was performed using a standard Hanna Turbidity Meter with water samples ranging from 0.56 NTU to 500 NTU. Measurement results demonstrated a strong linear relationship between the ADC value (495–686) and NTU, with an average system accuracy level above 90%. Comparison of sensor measurements with the standard instrument showed an error margin below 5%, confirming the reliability of the linear regression model in compensating for optical sensor nonlinearities.
Abstract:Solving problems requires the ability to recall the information needed and represented both visually and verbally. This information is obtained, managed and recalled through a system called learning style. This research…
was conducted at Asy-Syifa Al-Inayah Middle School, Jambi City, with the aim of obtaining a description of student representation in solving mathematical problems. Subjects in this study were selected using purposive sampling based on visual, auditory and kinesthetic learning styles. It is hoped that this research will provide benefits in improving mathematics learning. The results of the research show that the representation of auditory students and visual students in solving mathematical problems each fulfills three indicators, while kinesthetic students only fulfill two indicators of mathematical representation. In presenting information, visual and auditory subjects each tend to present it in the form of images (geometry or number patterns) and create situations based on the problem given. Meanwhile, kinesthetic subjects tend to only create images to clarify problems and facilitate their resolution. In solving problems, both visual and auditory subjects are able to solve problems by making patterns based on the problem given and making conclusions from a pattern. It's just that auditory subjects can shorten problem solving steps by using mathematical expressions. Meanwhile, kinesthetic subjects experience problems in solving combinatorics problems, where they are unable to present images or patterns that can help solve the problem.
Abstract:Sales forecasting is a crucial component of operational strategy and inventory management in the culinary industry, particularly for businesses dealing with raw materials that have short shelf lives. The Sate Padang Hapis…
s business faces the challenge of unpredictable monthly fluctuations in consumer demand, which often lead to supply imbalances, overproduction, or lost profit opportunities due to stockouts. This study aims to implement and analyze the accuracy of the Single Moving Average (SMA) quantitative forecasting method in predicting Sate Padang Hapis sales volumes for June 2026. Model performance was evaluated by assessing mathematical accuracy across two time-interval variations: 3-month and 5-month moving averages. Projection error rates were rigorously measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) parameters. The analysis reveals that the Single Moving Average model with a 5-month interval yields projections closest to actual data, achieving the lowest error rates (MAD: 28.00; MSE: 1,304.00; MAPE: 2.28%). Implementing this forecasting model provides management with an objective basis for decision-making, enabling the effective and efficient optimization of raw material logistics and supply management.
Abstract:The use of smartphones in Indonesia has been steadily increasing each year. In the era of the Fourth Industrial Revolution, smartphones have become a lucrative business sector, leading to intense market competition. Consequently,…
equently, smartphone companies must pay closer attention to the market segmentation desired by consumers. Data mining is the process of discovering significant relationships and patterns by analyzing large datasets using statistical and mathematical techniques. This study aims to identify and analyze the market segments of Android smartphone users among students at STMIK Royal. The data used in this research were collected from 122 student respondents. The study employs clustering using the K-means algorithm. The resulting data modeling will categorize market segments into several clusters. This segmentation yields three clusters: Cluster 1 (features), consisting of 36 respondents who prioritize price, battery, camera, and warranty; Cluster 2 (product), with 49 respondents who value all attributes except warranty; and Cluster 3 (superiority), comprising 37 respondents who prioritize camera, brand, and RAM.