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M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika
Published by Universitas Wiralodra
ISSN : 25025872     EISSN : 26223627     DOI : -
Core Subject : Education,
Education Mathematics
Mathline is published by Mathematics Education Department of Wiralodra University. Mathline publishes the research issues on mathematics, mathematics education, and could be experiment, research and development, or classroom action research. This Journal are bi-annual publication, on February and August.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 472 Documents
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Analysis Of Mathematical Logical Thinking Skills In Solving Arithmetic Problems: A Study Of Introverted Fahira, Popy; Yulia, Putri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.894

Abstract

This study examines students’ logical-mathematical thinking skills in solving arithmetic problems by considering introverted and extroverted personality types. A descriptive qualitative approach with a case study design was employed, involving four ninth-grade students selected through purposive sampling. Data were collected using a logical thinking ability test, the MBTI personality questionnaire, and structured interviews. The results showed that overall, students’ logical-mathematical thinking skills were relatively low, with most participants categorized as “Very Low.” Extroverted students demonstrated greater variation in performance, with one student achieving slightly higher logical thinking skills than the others. However, no significant differences were observed between introverted and extroverted students in their logical reasoning and problem-solving abilities. These findings suggest that personality type alone does not substantially determine students’ logical-mathematical thinking skills; other factors, such as learning motivation, conceptual understanding, and instructional strategies, also contribute to these outcomes. This study highlights the importance of implementing tailored instructional approaches to enhance students’ focus, motivation, and constructive feedback in supporting the development of logical thinking skills among students with diverse personality types.
Analysis Of Fractional Logistic Model Solution And Its Simulation On Human Development Index Data Of Cilacap District Sugandha, Agus; Mashuri, Mashuri; Pratama, Danang Adi; Supriyanti, Erni; Anggraeni, Rima
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.931

Abstract

This research discusses the formation of the Fractional Logistic model and its solution analysis, as well as its simulation to predict the Human Development Index in Cilacap Regency using the Fractional Logistic growth model. This study uses secondary data obtained from the official website of the Central Statistics Agency of Cilacap Regency. Based on these data, the growth of the Human Development Index in Cilacap Regency has increased relatively. This shows the Cilacap community's good quality of life. Based on the environmental carrying capacity value of 73, a relative growth rate per year of 0.14273269 is obtained. This model predicts the Human Development Index in Cilacap Regency in 2024 and 2025. The prediction results for 2024 of 71.47 and 2025 of 71.67 are achieved when the fractional derivative order is one. The best approximate solution is obtained when the fractional derivative order is 1, 0.95 0.90, 0.85, 0.80 and 0.75.
Analysis Of Students’ Mathematical Problem-Solving Ability Based On Judging and Perceiving Personality Types Eminarti, Zella; Nasution, Eline Yanty Putri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.933

Abstract

Problem-solving ability is one of the essential skills in mathematics education at the university level. However, there has been limited research specifically examining the influence of personality types on this ability, especially in the context of Systems of Linear Equations in Three Variables (SPLTV). This study aims to analyze the mathematical problem-solving ability of students based on Judging and Perceiving personality types. The research approach used is qualitative with a case study design. The subjects of the study consist of four students from the Tadris Mathematics program at IAIN Kerinci, selected based on the results of the MBTI test, consisting of two students with the Judging personality type and two with the Perceiving personality type. The research instruments include an SPLTV test and an interview guide, while data analysis techniques are carried out through data reduction, data presentation, and drawing conclusions using the Miles and Huberman model. The results show that students with the Judging personality type tend to excel in planning and executing problem-solving strategies systematically but are less strong in evaluating results. Conversely, Perceiving students demonstrate flexibility in understanding problems and devising strategies but tend to lack in evaluative aspects and structured presentation. These findings emphasize that personality types play a role in shaping students' problem-solving patterns, suggesting the need for teaching strategies that consider the personality characteristics of each individual.
An Analysis Of Eleventh-Grade Students’ Mathematical Problem-Solving Abilities In Contextual Circle Problems Salwa, Salwa; Hidayah, Nurina; Aribuabo, Anie Faye M.
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.956

Abstract

The low ability of students in solving non-routine problems highlights the importance of examining their mathematical problem-solving abilities in contextual circle problems. Problem-solving ability refers to how individuals utilize their knowledge and skills to handle unfamiliar situations. These abilities are analyzed based on five indicators proposed by Krulik and Rudnick: read and think, explore and plan, select a strategy, find an answer, and reflect and extend. This study employed a descriptive qualitative method with data collected through written tests and semi-structured interviews. Data were analyzed using the Miles and Huberman model. The test instrument consisted of three contextual circle problems with different levels of guidance: complete guidance, brief guidance, and no guidance. The results show that students’ problem-solving abilities varied across each problem. In the first problem, most students from all categories were able to complete the task according to the indicators, although errors occurred in the calculation and reflection stages. In the second problem, one student in the moderate category showed a decline from the planning to the reflection stage, while students in the low category experienced a more significant drop. In the third problem, only students in the high category consistently showed good abilities, while moderate and low-category students struggled in nearly all stages. One student in the low category even made no attempt to solve the problem. Students’ problem-solving profiles are reflected through their successes and obstacles in carrying out the five problem-solving stages.
The Implementation Of The Steam Approach With Indonesia’s Local Culture In Mathematics Learning: A Systematic Literature Review Kartikaningtyas, Nafiqoh Elsa; Subanti, Sri; Usodo, Budi; Nurhasanah, Farida
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.960

Abstract

The demands of 21st-century education require learning approaches that foster critical thinking, creativity, collaboration, and communication. Integrating Science, Technology, Engineering, Arts, and Mathematics (STEAM) is seen as a promising strategy to address these needs, yet its systematic implementation in mathematics learning in Indonesia, especially with local cultural contexts, remains underexplored. This study aimed to investigate how the STEAM approach has been applied in Indonesian mathematics education and how local culture is integrated. A systematic literature review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework to ensure transparency and rigor during the identification, screening, eligibility, and inclusion phases. The initial search yielded 259 articles from Scopus, ERIC, SINTA, Web of Science, and OpenAlex databases. After applying inclusion and exclusion criteria and removing duplicates, 20 articles published between 2014–2024 were analyzed in depth. To identify research trends, a bibliometric analysis using VOSviewer was performed to map keyword co-occurrences. The findings reveal that while the STEAM approach, combined with elements such as local art, traditional games, and architecture, successfully enhances student engagement and contextual learning, its application largely emphasizes procedural rather than conceptual understanding. Moreover, interdisciplinary collaboration and integration of local culture are not yet fully optimized to develop higher-order thinking. This review highlights the need for future studies to strengthen conceptual depth, promote authentic cross-disciplinary learning, and incorporate broader cultural perspectives in designing culturally responsive STEAM-based mathematics education.
Teacher Readiness Level In Implementing The Deep Learning Mathematics Approach To Senior High School Students In Batu City Hadiyah, Kusnia Nur; Surahmat, Surahmat; Walida, Sikky El
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.990

Abstract

This study aims to measure the readiness of high school mathematics teachers in Batu City to implement Deep Learning in the context of the Industry 4.0 Era. The research employed a quantitative descriptive survey approach. A sample of 60 teachers was selected using purposive sampling from active teachers in public and private high schools in Batu City. Data were collected through a closed questionnaire referring to four core teacher competencies: pedagogical, personality, professional, and social. Data analysis was conducted using descriptive statistics in the form of averages, percentages, and readiness level categories. The results of the study showed that the majority of teachers (63.33%) were in the Ready category in the pedagogical aspect, 32.5% were Less Ready, and 4.17% were Very Ready. In the personality aspect, 37.22% of teachers were Ready, 37.22% Less Ready, and 25.56% Very Ready. In the professional aspect, 51.11% of teachers were Less Ready, 28.33% Very Ready, and 20.56% Ready. In the social aspect, 51.67% of teachers were Less Ready, 25.83% Very Ready, and 22.50% Ready. These findings indicate that successful implementation of Deep Learning requires strengthening teacher competencies through ongoing training, learning communities, and school policy support that is adaptive to developments in the digital era.
The Application Of The Naïve Bayes Method In Diagnosing Heart Disease In Medan City Handayani, Septia; Rakhmawati, Fibri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.994

Abstract

This study applies the Naïve Bayes method to diagnose coronary heart disease (CHD) in Medan City. This quantitative study uses secondary data from Malahayati Islamic Hospital, including independent variables (age, gender, smoking, blood pressure, family history) and dependent variables (CHD status). The data are divided into training data (90%) and testing data (10%). Despite the high accuracy, further research with larger and more diverse data is needed to validate these findings. The Naïve Bayes method has proven potential as an aid in the early diagnosis of CHD.
The Development of Mathematic Learning Using Virtual Reality Assisted by MilleaLab Application Kirana, Natasha; Kowiyah, Kowiyah
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.995

Abstract

This research is motivated by the finding that some students have difficulty understanding the concepts of LCM and GCF, because they have difficulty explaining the basics and distinguishing between LCM and GCF, which causes a decrease in learning motivation. Some students have not been able to explain the basic concepts well, and have difficulty in distinguishing between LCM and GCF, resulting in decreased learning motivation. Therefore, innovation in mathematics teaching methods is needed to make learning more interesting and effective. One solution is learning media facilitates students understanding through Virtual Reality technology. This research aims to produce Virtual Reality learning media that is valid, practical and appropriate for the MilleaLab Application. This research applies the ADDIE Research and Development (R&D) method. The research subjects were elementary school students from 2 classes: limited scale, and large scale. At each stage, referring to open media innovation in mathematics learning, the product was validated by experts who confirmed its suitability for students. Large-scale students response data showed a positive rate of 87,78% , classified as ‘’Good’’, indicating it can help students understand the material well. Trial data indicates that some students understand the functions and operation of Virtual Reality, but still required guidance in its use. Based on these result, it is recommended that an intensive and structured introduction and training in the use of Virtual Reality be provided. Ongoing mentoring is needed to ensure students fully understand the function and operation of Virtual Reality device, thereby maximizing their learning potential.
Application of Geographically Weighted Panel Regression (GWPR) on Tuberculosis Disease in North Sumatra Province Khairani, Sabila; Aprilia, Rima
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.996

Abstract

Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis and remains a serious health problem in Indonesia, particularly in North Sumatra Province. The increase in the number of cases from 2021 to 2023 indicates the need for an analytical approach that simultaneously considers spatial and temporal aspects. This study aims to apply the Geographically Weighted Panel Regression (GWPR) method to analyze the development of tuberculosis and identify the factors that significantly contribute to its spread in 33 regencies/cities in North Sumatra. Based on the results of the Chow and Hausman tests, it was found that the Fixed Effect Model (FEM) is the most suitable panel data approach to use before applying the GWPR model. The analysis shows that the three variables that most significantly influence the number of tuberculosis cases spatially are the population size, gender (male), and age ≥14 years. The application of GWPR with adaptive bisquare weighting resulted in the best model with an AIC value of 1141.567 and a coefficient of determination (R²) of 0.99578, indicating that GWPR is a highly effective approach for analyzing the spatial spread of infectious diseases such as tuberculosis. The GWPR model is able to explain the spread of tuberculosis more accurately compared to FEM because GWPR can capture the varying influence of each variable in each region, whereas FEM only produces a single coefficient value that applies to the entire area without considering the existing spatial variations.
Bayesian Model Averaging (BMA) Modeling In The Analysis Of Factor Affecting Childhood Pneumonia Cases In Medan City Salsalina, Iren; Cipta, Hendra
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 3 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i3.998

Abstract

Pneumonia is one of the leading causes of death among toddlers worldwide, including in Indonesia. Medan, as a densely populated city, faces significant challenges in managing pneumonia in toddlers, with a still low case detection rate. The high incidence of pneumonia is influenced by various risk factors such as environmental density, air pollution, malnutrition, smoking habits, and lack of public awareness. Therefore, this study aims to identify the most influential factors affecting the incidence of pneumonia in toddlers in Medan City. This study uses the Bayesian Model Averaging (BMA) approach to address model uncertainty and produce more accurate estimates by considering various possible combinations of risk factors. The BMA method is considered superior in the context of complex health data because it can probabilistically combine information from multiple models. The results of this study are expected to provide data-based recommendations for more effective strategies for the prevention and control of pneumonia in toddlers in densely populated urban areas such as Medan City.

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