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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 30 Documents
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Minimnya Refleksi Diri Siswa dalam Evaluasi Pembelajaran Matematika: Tantangan dan Solusi Berbasis Teori dan Praktik Fadhilah Nur Sa'diyyah; Ibnu Hajar; 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 Ahyani Mirah Liani
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; Nur Syazwana; Dianti Hijaya
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 Khawaritzmi Abdallah Ahmad; Arian Nurrifqhi; Fettyana Fettyana; Nur Fadilah
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.
Integrasi Teknologi Digital dalam Pembelajaran Matematika untuk Mendukung Pendidikan Karakter Siswa Inklusif Ahyani Mirah Liani
Journal of Mathematics, Statistics and Applications Vol. 3 No. 1 (2026): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

One aspect that is very necessary for every level of education in the world of education, especially in Indonesia, is character education and adaptation training to the development of the times because schools are one of the places where students form their personalities and also their abilities in facing society and the world of work. The purpose of this study is to further discuss the relationship between technological innovation and teacher professionalism in improving the quality of character education and literacy of changing times in the context of inclusive learning. The author uses primary studies as a reference, where the main findings show that professional teachers become facilitators and moral role models in integrating learning technology to shape the character of students. Digital literacy is considered capable of improving values such as honesty, responsibility, cooperation and problem-solving skills. In addition, education based on changing times must be integrated into the learning curriculum in order to improve students' adaptability in the development of the times through continuous learning and integrated activities. The results of this study emphasize the need to improve the ability to utilize technology for teachers and an active learning approach to achieve the goals of character development and saman literacy in inclusive education.
Implementasi Sirkuit Euler untuk Efisiensi Jalur Kurir pada Layanan Pengiriman Paket Abdurahman Hamid
Journal of Mathematics, Statistics and Applications Vol. 3 No. 1 (2026): Mei
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 implementation of Euler Circuits in improving the efficiency of courier routes in package delivery services. The study uses a quantitative approach with graph theory methods to model the distribution network into vertices and edges. Vertices represent distribution locations or road intersections, while edges represent connecting paths between locations. The analysis is carried out by determining the degree of each vertex to identify whether the graph meets the requirements as an Eulerian graph. Next, Euler paths are determined using the Fleury and Hierholzer algorithm so that each edge can be traversed exactly once without excessive path repetition. The results show that the implementation of Euler Circuits is able to optimize package distribution routes by reducing the travel distance from 120 km to 90 km. The path efficiency level obtained is 25%. The application of this method has a positive impact in the form of savings in travel distance, reduced distribution time, efficient fuel use, and reduced operational costs. Thus, graph theory, especially Euler Circuits, can be used as an effective mathematical approach in solving path optimization problems in modern logistics and transportation services.
Penerapan Teorema Titik Tetap Banach pada Sistem Persamaan Linear dalam Model Input-Output Leontief Syamsuddin Mas'ud
Journal of Mathematics, Statistics and Applications Vol. 3 No. 1 (2026): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

This study applies the Banach fixed point theorem to the 2-sector Leontief input-output model using Picard iteration. The results show that the iteration converges to the exact solution (95,65) after 15 iterations with an error of less than 0,003 and an error ratio stabilizing around 0,5. This convergence rate is faster than the theoretical upper bound of 0,6, indicating that the method works efficiently. These findings complement previous theoretical studies with a complete numerical demonstration.
Kajian Minimalitas Hipotesis pada Mean Value Theorem dan Formulasi Ekuivalennya Andika Saputra
Journal of Mathematics, Statistics and Applications Vol. 3 No. 1 (2026): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

The Mean Value Theorem (MVT) is a fundamental result in real analysis, connecting the average rate of change of a function with its instantaneous rate of change. Classical formulations require continuity on a closed interval and differentiability on the corresponding open interval. This paper investigates the minimal assumptions underlying the MVT, establishes equivalent formulations, and analyzes their logical relationship with differentiability on closed intervals. The study employs theoretical analysis, logical deduction, and counterexample construction. The results demonstrate that differentiability on an open interval automatically guarantees continuity at every interior point. Consequently, continuity assumptions can be rigorously reduced to endpoint continuity alone. Furthermore, this study provides an analytical proof that the Minimal Formulation of the MVT is not equivalent to differentiability on the closed interval [a,b] due to the overly restrictive nature of endpoint derivatives. Three nested formulations of the MVT are established, alongside an analytical characterization of topological conditions leading to its failure
Analisis dan Simulasi Model Matematika SEIIR Terhadap Kecanduan Penggunaan TikTok pada Mahasiswa Jurusan Matematika FMIPA UNM Muhammad Abdy
Journal of Mathematics, Statistics and Applications Vol. 3 No. 1 (2026): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

This study discusses the application of the SEIIR (Susceptible, Exposed, Infected 1, Infected 2, Recovered) mathematical model to analyze the phenomenon of TikTok addiction among students in the Mathematics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang (UNM). The model was developed from the SEIR model by adding two addiction categories: addiction to watching and addiction to shopping on TikTok. Data were obtained through questionnaires distributed to active students in the 2022–2024 intake and analyzed using Maple 18 software. The analysis results showed that the basic reproduction number value R_0 = 1.0775, indicating that TikTok addiction has the potential to spread within the student population. Simulation results show that the number of students addicted to watching and shopping on TikTok increased at the beginning of the period, then decreased to almost zero within 12 months. Meanwhile, the number of students who stopped their addiction experienced a significant increase to more than 50% of the total population. This illustrates that TikTok addiction can decrease over time and there is a tendency for students to abandon this behavior. This study shows that the SEIIR model can be used as a mathematical approach to describe the spread of social media addiction behavior and can be a basis for consideration in developing more effective educational intervention strategies.
Improving HOG-Based Classification of Simple Navigational Gestures Using MiDaS Depth and MediaPipe Holistic Segmentation Khawaritzmi Abdallah Ahmad; Mariani Mariani
Journal of Mathematics, Statistics and Applications Vol. 3 No. 1 (2026): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

Human-Computer Interaction (HCI) is increasingly shifting toward touchless and intuitive interfaces, where simple navigational gesture recognition such as left, right, and stop constitutes a fundamental element. Gesture recognition methods based on Histogram of Oriented Gradients (HOG) and 9-Uniform Local Binary Pattern (9ULBP) features with Support Vector Machine (SVM) have proven effective for hand gestures, yet they remain highly vulnerable to complex background clutter. Applying these methods to upper limb gestures (involving arms and upper body) faces two major challenges: first, hand‑only segmentation is inadequate for capturing arm orientation information; second, there is no systematic evaluation of automatic segmentation methods based on depth versus landmarks to improve HOG feature robustness in the upper‑limb gesture domain. This study proposes integrating two preprocessing frameworks—MiDaS (monocular depth estimation) and MediaPipe Holistic (spatial guidance based on pose and hand landmarks)—prior to HOG and HOG+9ULBP feature extraction and SVM classification. Evaluation on 1,400 training images and 74 test images shows that the MediaPipe Holistic + HOG pipeline achieves the best performance with 82.4% accuracy and a macro F1‑score of 0.833, substantially outperforming MiDaS + HOG (60.8% accuracy; F1=0.473). Adding 9ULBP features decreases the F1‑score of the best pipeline to 0.715, proving that local texture is irrelevant for upper‑limb gestures. Consequently, landmark‑based human segmentation is recommended over depth‑based approaches, and feature extraction using only HOG (without 9ULBP) is sufficient.

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