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Journal of Mathematics, Statistics, and Applications
Published by PT. Lontara Digitech Indonesia
ISSN : -     EISSN : 30897076     DOI : https://doi.org/10.61220/jmsa
Core Subject : Education,
Mathematics
Journal of Mathematics, Statistics, and Applications process of peer review and open access with e-ISSN: 3089-7076 published twice a year in June and December in the field of Mathematics, Statistics and Applications.Publish the results of research, original thinking, development, teaching, popular writing, and book studies in the fields of Mathematics, Computational Mathematics, and Statistics.
Arjuna Subject : Matematika - Matematika Terapan
Articles 10 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2025): November" : 10 Documents clear
Augmented Reality dalam Pembelajaran Geometri: Dampak, Tantangan, dan Arah Masa Depan Asmaun, Asmaun
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

The development of digital technology in education has opened new opportunities for innovation in mathematics learning, particularly in geometry, which demands high spatial visualization skills. One rapidly developing innovation is Augmented Reality (AR), a technology that interactively combines real-world and virtual elements. This article is a systematic literature review that aims to examine the trends, effectiveness, and challenges of AR integration in geometry learning. Data were obtained from articles indexed in Scopus, Sinta, and Google Scholar, which were then analyzed thematically based on the research focus, empirical results, and their contribution to mathematics learning. The results of the study indicate that the application of AR can improve spatial ability, conceptual understanding, as well as student engagement and motivation in learning. Applications such as GeoGebra AR and 3D AR Escape Room have proven effective in supporting the visualization of geometric concepts and connecting theory to real-world contexts. However, the success of AR implementation is still influenced by factors such as device availability, teacher digital literacy, and pedagogical design that are not yet fully integrated. This study recommends the development of more adaptive and contextual AR-based learning models, as well as further research regarding the long-term impact of AR on higher-order geometric thinking skills.
Teori Graf: Peta Cerdas untuk Era Society 5.0 Hamid, Abdurahman
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

The Society 5.0 era is characterized by the integration of advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data, which collectively bring transformative changes to various aspects of human life. In this context, graph theory, as a branch of mathematics that studies network structures and relationships among elements, plays a crucial role in analyzing and optimizing complex systems. This article explores the application of graph theory across multiple domains, including social network analysis, transportation optimization, blockchain development, cybersecurity, and recommendation systems. Employing a Systematic Literature Review (SLR) approach, this study identifies the significant contributions of graph theory in developing innovative solutions that promote sustainability and enhance societal well-being. The findings reveal that graph theory serves as an essential tool in fostering the development of an intelligent, efficient, and human-centered society in the Society 5.0 era.
Pengaruh Kemampuan Pemecahan Masalah terhadap Hasil Belajar Matematika Wazithah, Mar Athul
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

Problem-solving skills is a fundamental cognitive competency in mathematics learning at higher education. This study aims to analyze the effect of problem-solving ability on students' mathematics learning outcomes. The research employed a quantitative approach with ex post facto design involving 29 science education students enrolled in basic mathematics courses. Problem-solving ability was measured using an instrument based on Polya's four indicators (understanding the problem, devising a plan, carrying out the plan, and looking back), while learning outcomes were assessed through achievement tests on basic mathematics content. Data were analyzed using simple linear regression technique. The results showed that problem-solving ability has a significant effect on mathematics learning outcomes with t-value of 4.277 > t-table 2.059 at significance level of 0.05. The regression equation obtained was Y = 3.873 + 1.258X with coefficient of determination (R²) of 0.953, indicating that 95.3% of the variance in mathematics learning outcomes can be explained by problem-solving ability. These findings confirm that problem-solving ability is a primary determinant of students' academic achievement in mathematics and imply the necessity of transforming learning approaches from procedural methods toward problem-solving-based instruction.
Literature Review: Model Matematika Dinamika Penyebaran Penyakit Monkeypox Bani, Alvioni
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

Monkeypox disease is an infectious disease that can infect susceptible individuals through direct or indirect interaction with infected individuals and animals infected with the Monkeypox virus. mathematical modeling is a research approach that can be used in the control of infectious disease spread by modeling the disease's transmission dynamics. Several studies have been conducted to develop mathematical models that interpret the spread dynamics of Monkeypox disease, based on the assumptions of each respective model. In this study, five research papers were selected based on inclusion criteria that cover the research question, design type, methods, results, and constraints in each study. Furthermore, this study is a literature review conducted to observe the extent to which these mathematical models provide solutions for controlling Monkeypox disease so that it does not become endemic in the future. The results indicate that controlling the spread of the disease can be achieved by applying treatment to the interaction parameters .
Autokorelasi Spasial Prevalensi Ketidakcukupan Konsumsi Pangan di Pulau Kalimantan Tahun 2024 Baharuddin
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

Food security remains a serious challenge in Indonesia, marked by high disparities among regencies/ cities, including in Kalimantan Island. This study aims to identify disparities and spatial patterns in the prevalence of food consumption inadequacy in Kalimantan Island in 2024, test for spatial autocorrelation, and identify regional clusters based on prevalence characteristics. The methods used were exploratory and inferential spatial analysis, including the measurement of global spatial autocorrelation using Moran's I and the identification of local clusters using LISA (Local Indicators of Spatial Association). The results reveal significant positive spatial autocorrelation (global Moran's I = 0.64), with “High-High” clusters concentrated in West Kalimantan and North Kalimantan, and “Low-Low” clusters in South Kalimantan. These findings imply the necessity for cluster-based and context-specific policy approaches to effectively enhance food security.
Dampak Pemanfaatan AI terhadap Pemahaman Konsep Matematika di Era Digital Rahman, Muhammad Syarifuddin
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

The use of artificial intelligence (AI) in mathematics learning has continued to grow alongside the rapid digitalization of the education sector. This study aims to analyze the impact of AI utilization on high school students’ understanding of mathematical concepts. The research problem focuses on how the use of AI affects students’ conceptual understanding in mathematics. The method employed is descriptive qualitative research, with data collected through semi-structured interviews, concept-understanding tests, and relevant literature studies. The findings indicate that AI provides positive impacts such as personalized learning, instant feedback, increased motivation, and flexible access to learning resources. Students reported that AI-based systems helped them better comprehend mathematical concepts through adaptive explanations and visualization features. However, the study also identifies negative impacts, including excessive dependence on technology, reduced opportunities for students to learn from mistakes, and a decline in critical thinking skills when solutions are provided instantly by AI. A comparison of learning experiences shows that although AI enhances learning efficiency, conventional methods remain superior in supporting social interaction and group discussion. These findings emphasize that the successful use of AI in mathematics learning heavily depends on balanced implementation strategies and strong pedagogical support from teachers. With proper application, AI can serve as an effective tool to deepen and enrich students’ understanding of mathematical concepts.
Minimnya Refleksi Diri Siswa dalam Evaluasi Pembelajaran Matematika: Tantangan dan Solusi Berbasis Teori dan Praktik Sa'diyyah, Fadhilah Nur; Hajar, Ibnu; Fitri, Fitri
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

The lack of student self-reflection in evaluating mathematics learning is a serious challenge that hinders the development of conceptual understanding and critical thinking skills. This literature review aims to identify factors that can lead to a lack of reflective practice in mathematicsclasses, highlight the role of teachers as facilitators, and recommend effective strategies based on educational theory and field practice. The results of this study indicate that self-reflection is still rarely actively facilitated, both by teachers and evaluation systems that emphasize the end productrather than the process. Teachers have a strategic role in guiding students through directed reflection, while metacognitive approaches and collaborative learning can encourage the growth of reflective habits. Transformation of the evaluation system that values the thinking process is needed so that students develop into independent, conscious, and critical learners. Thus, building a reflective culture is not only about improving learning outcomes, but also shaping character and lifelong learning competencies.
Pengaruh Proses Distorsi dan Lupa Dalam Perkembangan Peserta Didik Liani, Ahyani Mirah
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

This article presents an in-depth analysis of the process of distortion and forgetting in student development. Combining literature from various scientific disciplines such as cognitive psychology, neuroscience, and education, this study discusses the mechanisms, impacts, and implications of the process of distortion and forgetting on students' learning and development. The method used is a descriptive method using a literature review approach. The aim of this research is to determine the relationship or connection between the processes of distortion and forgetting in learning or student development. The research results show that the influence of the distortion and forgetting process has a significant role in students' development in making decisions. Awareness of distortions and forgetting can help students identify and overcome potential risks in decision making. On the other hand, forgetting information, forgetting tendencies, and forgetting consequences can have a serious impact on students' evaluation and decision making planning.
Tantangan dan Solusi Guru dalam Evaluasi Pembelajaran Matematika di SMP untuk Mengukur Penilaian Autentik di Tengah Tekanan Waktu: Sebuah Systematic Literature Review Syamsinar, Syamsinar; Syazwana, Nur; Hijaya, Dianti
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

This study aims to analyze the challenges and solutions faced by teachers in implementing authentic assessment in junior high school mathematics learning amidst time constraints, administrative burdens, and curriculum demands. Using a Systematic Literature Review (SLR) approach, 12 studies published between 2020 and 2025 were analyzed, consisting of eight studies in Indonesia and four studies in Southeast Asia and internationally. The study results indicate that the implementation of authentic assessment is hampered by teachers' low skills in designing valid rubrics, excessive administrative burdens, and pressure to achieve curriculum targets, which makes teachers tend to revert to using conventional tests. However, the literature also highlights several solutions, including the use of digital technologies such as Learning Management Systems (LMS) and rubric generators, ongoing teacher training and workshops, and collaboration through peer assessment to streamline the evaluation process. This study recommends that schools and policymakers reduce non-teaching administrative burdens, provide regular professional training, and develop practical and flexible assessment guidelines to support the sustainable and effective implementation of authentic assessment in mathematics learning.
Pembangunan Dataset Gestur Angka (1-5) yang Terkontekstualisasi Budaya sebagai inisiasi Basis Data Pengenalan untuk Alat Bantu Pembelajaran Matematika Ahmad, Khawaritzmi Abdallah; Nurrifqhi, Arian; Fettyana, Fettyana; Fadilah, Nur
Journal of Mathematics, Statistics and Applications Vol. 2 No. 2 (2025): November
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed human–computer interaction toward more natural and intuitive vision-based gesture systems. Hand Gesture Recognition (HGR) plays a crucial role in the development of interactive learning media, particularly for recognizing finger gestures representing numbers 1–5. However, conventional HGR systems are predominantly built upon culturally biased datasets, especially those derived from American Sign Language, which may lead to misinterpretation and normative mismatch across different cultural contexts. This study initiates the development of a culturally inclusive hand gesture dataset for numbers 1–5 by incorporating diverse cultural finger-counting habits. Feature extraction is performed using the MediaPipe Hands framework to obtain accurate and efficient hand landmarks. The constructed dataset is then utilized to train a gesture classification model for interactive mathematics learning applications. Experimental results show that the model achieves strong performance in certain classes, particularly for classes 1 and 5, with a recall of 1.00 and the highest f1-score of 0.85. However, challenges remain in classifying classes 3 and 4 due to class imbalance, resulting in lower recall and f1-scores. Although the overall accuracy reaches 66%, this imbalance indicates the need for further optimization in training strategies to improve model generalization. The proposed dataset is expected to serve as a more relevant and culturally inclusive foundation for developing safe, accurate, and adaptive HGR-based interactive mathematics learning systems.

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