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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 24 Documents
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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.

Page 3 of 3 | Total Record : 24

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