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International Journal of Science and Mathematics Education
Published by Asosiasi Riset Ilmu Matematika dan Sains Indonesia
ISSN : 30627206     EISSN : 30627214     DOI : 10.62951
Core Subject : Education, Social,
Education Mathematics Social Sciences
This journal is a peer-reviewed and open access journal of Mathematics and Science Education. The fields of study in this journal include the sub-family of Mathematics and Science Education
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 32 Documents
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Spatial Analysis of Aerosol Optical Depth in Western Java Indonesia Rajwa Hanan; Fithriya Yulisiasih Rohmawati; Idung Risdiyanto; Sonni Setiawan
International Journal of Science and Mathematics Education Vol. 2 No. 2 (2025): June: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i2.196

Abstract

Air quality in Western Java is highly dynamic and shaped by environmental changes influenced by intense human activities. Aerosols—tiny particulate matter that affects air quality, weather, and climate—can be quantified using Aerosol Optical Depth (AOD), which measures aerosol concentrations in the atmospheric column. This research uses spatial regression analysis to examine the spatial distribution of AOD from GEE’s platform (Google Earth Engine) and its relationship with rainfall and wind patterns during both the wet and dry seasons. The findings indicate that wind speed does not significantly impact AOD values, but wind direction does affect the distribution of rainfall and AOD, likely due to the monsoon system. During the wet season (December to March), high-intensity and widespread rainfall effectively cleanses the atmosphere of aerosols, leading to no significant effect on AOD (p-value > 0.05). In contrast, during the dry season, rainfall significantly influences AOD spatial patterns (p-value < 0.05). These results highlight the intricate interplay between meteorological factors and aerosol’s behavior, emphasizing the seasonal variability in their interactions.
Estimation of Reliability Function of Pepsi Cola Baghdad Machines Under Second Type Monitoring Data According to Rayleigh Distribution Faiz Hamid Salman
International Journal of Science and Mathematics Education Vol. 2 No. 2 (2025): June: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i2.205

Abstract

This research aims to estimate the reliability function of the Rayleigh distribution Under Type-II-Censored Data, which represents. The time of the machine's operation until the failure, and three methods were chosen to estimate the reliability function, which are, the maximum likelihood method, the momentary method, and the least squares method. As the values of the reliability function were calculated for real data related to the machines of theof the machines of Baghdad Pepsi Cola Company, and the comparison was made between the methods of estimating reliability by choosing the largest arithmetic mean for the reliability of the machines, and the greatest possibility appeared the best method, and the researcher concluded that the average times working until holidays is (4) months with a reliability of 87%.
Estimating the Survival Function of Viral Hepatitis Patients in A Sample of Baghdad Hospitals Osama Abdulaziz Kadhim Al-Quraishi
International Journal of Science and Mathematics Education Vol. 2 No. 2 (2025): June: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i2.220

Abstract

Most people are exposed to sudden death as a result of viral hepatitis infection, especially at an advanced age, so we need to know the continuation of the disease until death in a sample of hospitals to know the differences in the services provided by those hospitals. The research aims to estimate a function for the Rayleigh distribution (RD) using several methods (maximum likelihood function, White, s, weighted least square) and choose the best method for estimation using the mean square error (MSE) and compare the survival rates of patients admitted to (Al-Kadhimiya, Al-Karkh, and Yarmouk) hospitals, The results of the research showed in the experimental aspect that the maximum likelihood method for all sample sizes is the best, followed by the weighted least squares method and finally the White method. In the applied aspect, on a sample consisting of (63) patients (liver cirrhosis + liver cancer) for the first quarter of 2025, it was found that their survival rate until death is (33%) for a time average of (2) months and (15) days.
Logan Avenue Problem Solving Learning Model (Laps-Heuristic) on Mathematics Learning Outcomes of Class VII Students at Wusto Imam An-Nasai Gowa Nur Aisyah; Rizka Ridha Ruslan; Indah Viqrianti Ramli; Rahmah Musda; Azwan Anwar
International Journal of Science and Mathematics Education Vol. 2 No. 2 (2025): June: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i2.234

Abstract

This study examined the effectiveness of applying the Logan Avenue Problem Solving (LAPS-Heuristic) learning model on mathematics learning outcomes among Class VII students at Wusto Imam An-Nasai Gowa using a one-group pretest–posttest design. The population consisted of all seventh-grade students enrolled in the even semester of the 2024/2025 academic year. A learning outcome test was employed as the primary research instrument to measure students’ performance before and after the implementation of the learning model. The data analysis involved descriptive statistical methods combined with gain tests to assess the extent of improvement. The findings revealed that students’ mathematics achievement fell predominantly within the very high category, with 53.85% of learners classified in this range, indicating a notable increase in category levels compared to their pretest performance. Furthermore, the percentage of students who successfully met the required minimum competency standards after the application of the LAPS-Heuristic model reached 96.15%. This outcome clearly illustrates that the vast majority of students—over 85%—achieved or exceeded the established passing threshold, suggesting that the integration of the LAPS-Heuristic approach was highly effective in enhancing mathematics learning outcomes. Overall, the results underscore that the LAPS-Heuristic learning model can serve as a practical and impactful strategy to improve student engagement, comprehension, and mastery of mathematical concepts in junior high school settings.
Development of Interactive E-Module with Realistic Mathematics Education (RME) Approach to Increase Numeracy Skills and Mathematical Growth Mindset Vevi Arini Azizatus Sufaidah; Ariyadi Wijaya
International Journal of Science and Mathematics Education Vol. 2 No. 3 (2025): September: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i3.237

Abstract

This research aims to: (1) produce mathematics learning media in the form of interactive e-modules with a learning approach.realistic mathematics education (RME) which is oriented towards numerical ability and mathematical growth mindset students and describe their characteristics; (2) describe the quality of the learning e-module which meets the criteria of being valid, practical and effective so that it is suitable for use by junior high school students using the approach realistic mathematics education (RME). The development model used in this development research is the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The research subjects consisted of one teacher and 32 seventh grade students of SMP Negeri 3 Pajangan in Bantul Regency, Yogyakarta, who participated in this research.The results of the study show that the developed e-module has the following main characteristics: (1) using the RME approach in learning strategies; (2) facilitating the improvement of numeracy through learning videos, LKPD, and quizzes; (3) fostering growth mindset through motivational videos, inspirational sentences, discussion spaces, as well as feedback and self-evaluation features; and (4) using test- and questionnaire-based evaluation instruments. Validity tests showed very good results with an average score of 96% from media experts and 98% from material experts. The practicality of the e-module was assessed as very good by teachers (96.19%) and good by students (80.47%), and the implementation of learning reached 96.8%. Effectiveness was proven through MANOVA and t-tests which showed a significant increase in numeracy and mathematical growth mindset after using the e-module. Thus, the RME-based interactive e-module is suitable for use as an innovative mathematics learning medium at the junior high school level.
Development of E-Module for Mathematics Learning for Junior High School Students Based on Local Culture at the Van der Wijck Fort Complex to Improve Students’ Mathematical Reasoning Ability and Learning Interest Nurul Hidayah; Jailani Jailani
International Journal of Science and Mathematics Education Vol. 2 No. 3 (2025): September: International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i3.239

Abstract

This study aims to develop a junior high school mathematics e-module based on local culture at the Van der Wijck Fortress complex to enhance students’ mathematical reasoning skills and learning interest. Specifically, the objectives are: (1) to describe the characteristics of the local culture-based e-module that can improve reasoning ability and learning motivation, and (2) to produce a high-quality e-module that meets the criteria of validity, practicality, and effectiveness. The research employed the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The participants consisted of one teacher, 31 students in the experimental class, and 32 students in the control class at a public junior high school in Kebumen Regency. The instruments used included validation sheets for media and material, competency tests, mathematical reasoning tests, learning interest questionnaires, and practicality assessment forms for teachers and students. The results showed that the e-module possesses characteristics of being self-instructional, self-contained, stand-alone, adaptive, and user-friendly. Product validity was confirmed through expert validation with average scores of 4.26 for media and 4.35 for material (very valid). The validation of instruments obtained average scores ranging from 4.5 to 4.92, categorized as very valid. Practicality was demonstrated through teacher assessments of 92%, student assessments of 85%, and learning implementation of 94% (all very practical). Effectiveness testing using the Multivariate Hotelling’s T² test indicated significant differences between experimental and control classes in competency test scores, mathematical reasoning, and learning interest. Therefore, the local culture-based mathematics e-module is proven valid, practical, and effective in enhancing students’ mathematical reasoning and learning motivation.
Effectiveness of GeoGebra-Assisted Collaborative Learning on Understanding Mathematical Functions and Graphs Dwi Oktaviana; Yumi Sarassanti; Elay Yusifli Elshad
International Journal of Science and Mathematics Education Vol. 2 No. 1 (2025): March : International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i1.257

Abstract

This study investigates the impact of GeoGebra-assisted collaborative learning on students' understanding of function graphs. Function graphs are fundamental in mathematics education, yet many students struggle to grasp the relationships between variables, primarily due to traditional teaching methods that focus on procedural skills rather than conceptual understanding. To address this challenge, the study incorporates GeoGebra, a dynamic mathematics software, alongside collaborative learning strategies. The research utilizes a quasi-experimental design involving high school students who had previously struggled with function graphs. The results demonstrate that the experimental group, which engaged in GeoGebra-assisted collaborative learning, showed a significant improvement of 27% in their post-test scores, compared to just a 6% improvement in the control group using traditional methods. The study highlights the effectiveness of GeoGebra in fostering a deeper conceptual understanding of mathematical functions by enabling students to visualize and manipulate graphs interactively. Additionally, collaborative learning encouraged peer interaction, reinforcing the learning process and promoting better problem-solving skills. The findings suggest that combining interactive tools like GeoGebra with collaborative learning techniques can enhance students’ mathematical comprehension, leading to improved engagement and performance in mathematics education.
Analysis of the Effect of Contextual Problem Solving on Students’ Mathematical Reasoning Ability Ahmad Basid; Eko Sutrisno; Lale Rahman Aliyeva
International Journal of Science and Mathematics Education Vol. 1 No. 3 (2024): September : International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v1i3.258

Abstract

This study investigates the impact of contextual problem-solving on students' mathematical reasoning abilities, comparing it to traditional problem-solving exercises. The study employs a quasi-experimental design with two groups: an experimental group exposed to contextual problem-solving activities and a control group using conventional methods. The experimental group demonstrated a 24% improvement in their mathematical reasoning abilities compared to the control group. Contextual problem-solving, which integrates real-world problems into the learning process, was found to be more engaging and effective in promoting deeper understanding and application of mathematical concepts. The study highlights the benefits of contextual learning in making abstract mathematical concepts more tangible and relatable to students. The findings suggest that by connecting mathematical knowledge to real-world scenarios, students develop stronger reasoning skills and improve their problem-solving capabilities. Moreover, the study recommends incorporating more contextual problem-solving exercises into curricula and providing teachers with training on how to implement these strategies effectively. It also suggests that future research explore the long-term effects of contextual problem-solving on other learning areas, such as critical thinking and creative problem-solving. This approach not only enhances students' mathematical reasoning but also fosters a more engaging and meaningful learning environment, thus preparing students to apply their mathematical knowledge in real-life situations.
Implementation of Computational Thinking in Physics Learning to Strengthen Analytical and Logical Reasoning Jatmiko Wahyu Nugroho; Dina Apryani; Ayla Anar Babayeva
International Journal of Science and Mathematics Education Vol. 2 No. 1 (2025): March : International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i1.259

Abstract

This study explores the implementation of Computational Thinking (CT) in physics learning to enhance students' analytical and logical reasoning. Using an experimental approach with a problem-solving model, the research involved students enrolled in physics courses, divided into experimental and control groups. The experimental group engaged in simulation-based and algorithmic problem-solving tasks, while the control group received conventional instruction. The research focused on assessing improvements in logical reasoning through pre- and post-tests. Data analysis was conducted quantitatively, comparing the pre-test and post-test results of both groups. Findings revealed that the experimental group showed a significant 31% improvement in logical reasoning skills, while the control group demonstrated a modest 5.8% improvement. This indicates that CT-based activities, such as simulations and algorithmic tasks, are more effective in enhancing students' analytical and problem-solving abilities compared to traditional methods. The study highlights the importance of integrating CT into physics education, as it promotes deeper cognitive engagement, critical thinking, and practical problem-solving skills. These findings suggest that CT strategies can be a powerful tool in improving students' reasoning abilities and better preparing them for complex scientific and real-world challenges.
Development of a Real-World Problem-Based Mathematics Module to Enhance Mathematical Modeling Skills Dedi Sufriadi; Florianus Aloysius Nay; Shakira Ghazanfar
International Journal of Science and Mathematics Education Vol. 2 No. 1 (2025): March : International Journal of Science and Mathematics Education
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijsme.v2i1.260

Abstract

Many students find it difficult to connect abstract mathematical concepts with real-world applications, leading to limited problem-solving and modeling skills. This study aimed to develop a real-world problem-based mathematics module designed to enhance students’ mathematical modeling abilities. Using a Research and Development (R&D) approach with the 4D model Define, Design, Develop, and Disseminate the research involved secondary school students enrolled in mathematics classes. The Define stage identified learning difficulties and needs, while the Design and Develop stages focused on creating, validating, and refining a contextual mathematics module based on expert feedback. Quantitative data were collected through expert validation sheets, mathematical modeling tests, and student response questionnaires. The results demonstrated that the developed module achieved a high level of content and design validity, confirming its appropriateness for classroom use. Student responses indicated strong practicality and engagement during implementation. The effectiveness analysis showed a 28% improvement in mathematical modeling skills after the intervention, as evidenced by increased post-test scores and positive student feedback. Compared to traditional textbook-based instruction, the module proved more effective in fostering conceptual understanding, analytical reasoning, and real-world application of mathematics. In conclusion, the developed real-world problem-based module successfully bridges the gap between theoretical mathematics and authentic contexts, providing an innovative framework to cultivate modeling competence and critical thinking among students.

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