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Proceeding International Conference on Mathematics and Learning Research
Published by Universitas Muhammadiyah Surakarta
ISSN : -     EISSN : 28077245     DOI : -
Core Subject : Education,
Education Mathematics
The International Conference on Mathematics and Learning Research (ICOMER) held by Mathematics Education Department, Universitas Muhammadiyah Surakarta, Indonesia. It is transformation from previous national-level conference "Konferensi Nasional Penelitian Matematika dan Pembelajarannya (KNPMP)". This the place for the undergraduate/graduate/doctoral students, teachers, lecturers, and observers in the interest of mathematics and mathematics education to disseminate their research results
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 35 Documents
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Systematic Literature Review: Students' Self-Regulated Learning at Different Levels of Education in Indonesia Leana, Kunthy Ley; Saleh, Sitti Fithriani; Marup, M; Ilyas, Mutiara M.
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Self-regulated learning (SRL) is an important skill for students. Students who have SRL can regulate and control themselves in the learning process, especially when dealing with school assignments. The purpose of this study was to review the literature on students' SRL at different levels of education in Indonesia. This study is qualitative and uses the systematic literature review method. The data collection technique used in this study was a literature study and documentation sourced from articles using the keywords "self-regulated learning", "mathematics", and "students". Articles were screened using Publish or Perish software with Google Scholar, Crossref, and Semantic Scholar databases. A total of 2993 works of literature were screened and analyzed using Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) so that 9 articles were obtained representing each level of education. The study results showed differences in students' SRL levels at each level of education. Elementary school students have relatively low SRL. High school students have SRL levels varying between moderate and low.
STEAM-H to Support Agribusiness Students' Work Skill Fatimah, Ai Tusi; Isyanto, Agus Yuniawan; Erlin, Euis
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

The study focuses on the importance of work skills for students at Agribusiness Vocational High Schools in meeting the demands of 21st-century competencies. It explores how the STEAM-H (Science, Technology, Engineering, Agriculture, Mathematics, Health) approach can assist in developing these work skills. The research aims to assess students' grasp of the STEAM-H concept and to identify the work skills they acquire through learning that incorporates the STEAM-H approach. This investigation adopts a case study design involving 16 eleventh-grade students from the Agribusiness Vocational High School for Agricultural Product Processing in Ciamis Regency. Data was gathered through initial and final tests to gauge the students' understanding of STEAM-H, as well as through observations and interviews conducted while the students were engaged in a project on chicken wonton processing to evaluate their work skills. The results indicated a significant improvement in students' comprehension of the STEAMH concept after participating in the learning process. This increased understanding corresponded with the students' work skills, as evidenced by their successful completion of the chicken wonton processing project. The study concludes that the STEAM-H approach holds substantial potential for enhancing students' understanding of mathematics, food security, science, health, and technology concepts relevant to the agribusiness sector while also fostering the development of essential work skills required in the workplace. Wonton production requires a strong interdisciplinary approach. Mathematics, especially computational thinking skills, are crucial in designing an efficient and effective production process. The implication of this study underscores the importance of integrating the STEAM-H approach into the curriculum of Agribusiness Vocational High Schools, thereby preparing students to become competent graduates equipped to confront challenges in the era of Industry 4.0.
Forecasting Import-Export Volume and Value using Support Vector Machines and Random Forests Istiqlala, Hamda Yauma; Kurdhi, Nughthoh Arfawi
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

National trade plays a crucial role in a country's economy by meeting the demand for goods and services. Imports and exports are vital components that significantly influence economic growth. This study aims to forecast and analyse the volume and value of imports and exports in the coming years, thereby helping the country to prepare for and enhance its competitiveness on the international stage. To achieve this, the study employs Support Vector Machine (SVM) and Random Forest methods, which have gained popularity for their high efficiency in handling classification and regression problems. These methods are particularly effective in producing accurate forecasts, especially when dealing with seasonal variations in data. The research also explores the potential of combining these methods for even more robust predictions. Additionally, the study considers external factors, such as global market trends and policy changes, which can influence trade dynamics. The findings of this research demonstrate the ability to predict future import and export volumes and values accurately. By comparing the error values in the form of Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) from the model, it is proven that the SVM model is highly effective for export-import forecasting. Lower error values indicate higher prediction accuracy, highlighting the model's reliability in capturing complex trade dynamics. The insights from this study can be instrumental for policymakers and businesses in strategising for future trade activities, allowing them to make informed decisions that align with anticipated market shifts.
Misconceptions in Solving Remaining Problems of Dividing Exponential Numbers Setiawan, Yayan Eryk; Abidin, Zainal; Sunismi, S
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Preliminary research results show that many students still experience errors in determining the remainder of the distribution of exponential numbers. This error is important for further analysis. Therefore, this study aims to identify student errors in determining the remainder of the division of exponential numbers. This type of research is descriptive qualitative research. The subjects of this study consisted of 4 students from the mathematics education study program. The data collected in this study consisted of the results of the subject's work and transcripts of interviews with the subject. Analysis of the results of the subject's work was carried out descriptively to determine the characteristics of the errors. Analysis of the transcripts of the interview results was carried out by coding the words that indicated the causes of misunderstandings. The results showed that the misunderstanding of the concept in determining the remainder of the division of exponential numbers by integers consisted of errors in changing the exponential form into the sum of exponential numbers, errors in translating exponential numbers, errors using modulo congruence, and errors in dividing the sum of exponential numbers. The factor that causes this misunderstanding in general is a lack of understanding of the basics of operations on exponential numbers and modulo properties.
Effectiveness of E-Modules in Mathematics Learning in Junior High School: A Systematic Literature Review Ningrum, Sri Adiningsih Utami; Slamet, Isnandar; Fitriana, Laila Nur; Hasanah, Nur
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This study aims to identify and analyze publications on the effectiveness of E-modules in learning mathematics in junior high schools based on research journal articles in the last five years, from 2019 to 2024. The systematic literature review method was used with the guidance of the PRISMA diagram. Data were obtained from 246 articles from ERIC, Scopus, and Sinta databases. After screening, 11 articles were found that met the criteria as samples. The findings of this study indicate that E-modules are effective in learning mathematics in junior high school. The characteristics of E-modules include aspects of self-instruction, self-contained, stand-alone, adaptive, user-friendly, interactive, and self-regulated. Mathematical skills or knowledge that are often researched are learning outcomes. Future research should investigate the effectiveness of E-modules in other mathematics skills or knowledge.
Differentiated Mathematics Teaching and Learning Media: Systematic Literature Review 2015-2024 Maullina, Eka Siti; Usodo, Budi; Fitriana, Laila; Nurhasanah, Farida
Proceeding International Conference on Mathematics and Learning Research 2024: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Differentiated Mathematics Teaching and Learning Media Research allows students to actively participate, ask questions, express opinions, and improve their mathematics skills. Teachers can apply differentiated learning with learning media, both concrete and digital learning media. This study aims to examine differentiated mathematics teaching and learning media related to the year of publication, mathematics topics, education levels, regional distribution, and mathematics learning media so that concise literature can be obtained regarding the latest facts regarding the role of media stored in and differentiated mathematics learning over the past 10 years based on the Scopus, ERIC, and Sinta databases. This research is a Systematic Literature Review (SLR) study. The methodology used is Systematic Review and Meta-Analysis (PRISMA), given limitations in the form of inclusion and exclusion criteria. The results of the study showed that in 2015-2024 there were170 articles related to the research topic; based on the inclusion criteria and exclusion criteria, there were 11 articles that met the criteria. The most widely used topic is the topic of fractions, which is 3 articles, then statistics and geometry each as many as 2 articles; and the topics of measurement, graphs, trigonometry, arithmetic, data, transformation, integers and measurement, and scales each 1 article and the most research was conducted on improving junior high schools, with a percentage of 38%. It was found that Indonesia ranks first with the number of articles as many as 6 articles, and the media most developed or used in differentiated mathematics learning is modules.
The Use of Assemblr edu as an Interactive Learning Medium to Improve Mathematical Critical Thinking Skills Nadjla, Afifah Ainun; Wahyuni, Deasy
Proceeding International Conference on Mathematics and Learning Research 2025: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Critical thinking skills are essential competencies in 21st-century mathematics education, requiring students to analyze, evaluate, and reflect on concepts deeply. However, the abstract and symbolic nature of mathematics often hinders students' conceptual understanding. Augmented Reality (AR) provides an innovative approach by integrating threedimensional digital objects into real-world environments, allowing interactive exploration of mathematical ideas. This study examines the effectiveness of Assemblr Edu, an AR-based learning medium, in enhancing students' mathematical critical thinking skills. Employing a quasi-experimental pretest–posttest control group design, the study involved 60 secondary students divided into experimental and control groups. A validated mathematical critical thinking test was used, and data were analyzed through Analysis of Covariance (ANCOVA) with pretest scores as covariates. The findings revealed a significant difference between groups F(1.57)= 37.93,p < 0.001, n2 = 0.399. The experimental group's mean improvement was +23.74 points N-Gain = 0.59, high category), while the control group's improvement was +10.21 points(N-Gain = 0.25, medium category). The 3D interactivity of Assemblr Edu effectively fostered clarification, analysis, and logical reflection, confirming its role in promoting higher-order thinking skills aligned with the critical reasoning dimension of Indonesia's Merdeka Curriculum.
The Influence of the Realistic Mathematics Education (RME) Approach and Students' Creativity on Mathematical Problem-solving Ability Hidayat, Arief
Proceeding International Conference on Mathematics and Learning Research 2025: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This study aims to determine the effect of RME (Realistic Mathematics Education) learning and student creativity on mathematical problem-solving abilities in the topic of systems of linear equations in two variables (SPLDV). This research uses a quantitative approach with a sample of 46 eighth-grade junior high school students. The research method is quantitative with a nonequivalent control group design, consisting of two groups: an experimental group and a control group. The sampling technique used is purposive sampling. The research instruments include essay-type tests and questionnaires, while the data analysis uses two-way ANOVA. The research results lead to the following conclusions: 1) There is an effect of the RME learning model on mathematical problem-solving ability., 2) Student creativity influences mathematical problem-solving ability, 3) There is no significant interaction between the RME learning model and student creativity on mathematical problem-solving ability.
Exploration of Students' Problem Solving Ability on Arithmetic Material in a Constructivist Philosophy Perspective Review Sukowati, Berliani Ardelia; Hidayati, Miftachul; Ningrum, Auliya; Kholid, Muhammad Noor
Proceeding International Conference on Mathematics and Learning Research 2025: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This study aims to explore the mathematical problem-solving abilities of male and female students on arithmetic sequence and series material from a constructivist philosophical perspective. The research was motivated by the generally low problem-solving performance of Indonesian students, as reflected in international assessments such as PISA and TIMSS. Employing a qualitative case study design, the research involved two eighth-grade students from SMP Negeri 3 Satu Atap Tawangharjo, each representing a high-achieving male and female student. Data were collected through written tests, interviews, observations, and documentation, and analyzed using an interactive model. Findings reveal that both male and female students achieved all mathematical problem-solving indicators, yet exhibited distinct cognitive patterns. Male students demonstrated logical and spatial strategies but tended to overlook the rechecking stage, while female students showed more verbal, organized, and reflective problem-solving behaviors. From a constructivist perspective, these differences highlight the importance of meaningful, experience-based learning that supports individual knowledge construction.The study suggests that mathematics instruction should integrate varied contextual problems, promote reflective habits, and adopt gender-responsive strategies to enhance students' problem-solving competence. Future research is encouraged to broaden the scope across different topics and student populations.
Comparative Analysis of SARIMA and SARIMAX Models for Rainfall Forecasting: A Case Study of Bandung City with Humidity as an Exogenous Variable Bella, Claudia Cantika; Rizal, Jose; Agwil, Winalia
Proceeding International Conference on Mathematics and Learning Research 2025: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Accurate rainfall forecasting is crucial in Indonesia, where climate change exacerbates the risks of droughts and floods. This study conducts a comparative analysis of Seasonal Autoregressive Integrated Moving Average (SARIMA) and its extension with exogenous variables (SARIMAX) to evaluate the impact of incorporating air humidity in rainfall prediction for Bandung City. Unlike SARIMA, which relies solely on univariate data, SARIMAX integrates external climatic factors, potentially enhancing predictive accuracy. This study analyzed monthly rainfall and air humidity data from January 2014 to December 2023. The modeling procedure included stationarity testing, seasonal decomposition, model identification using ACF and PACF diagnostics, parameter estimation via Maximum Likelihood Estimation (MLE), and residual diagnostic checks. Forecasting performance was comparatively evaluated using Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and Mean Absolute Scaled Error (MASE). The findings indicate that SARIMAX consistently outperforms SARIMA, yielding lower AIC and BIC values and achieving a MASE of 0.690 compared to 0.840 for SARIMA. This demonstrates that exogenous climatic variables play a crucial role in reducing forecasting error, particularly for seasonal and climate-sensitive time series. Beyond methodological contributions, the findings offer practical implications: incorporating humidity into forecasting models provides policymakers and disaster management authorities with more precise information for climate adaptation and risk mitigation strategies.

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