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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
 1   2   3 
Schrödinger-type Equation with the Data in Morrey Spaces Ramadana, Yusuf
Journal of Mathematics, Statistics and Applications Vol. 2 No. 1 (2025): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

In this paper we investigate the regularity properties of Schrödinger-type equations with the data in certain Morrey spaces. Under some assumptions, we obtain that if the data is not in certain Morrey space, then the solution is also not in certain Morrey spaces. Hence, if the data which acts on the system does not balance local regularity and global decay, then the solution does not either.
Pengaruh Pengetahuan Kalkulus Diferensial terhadap Hasil Belajar Mahasiswa Program Studi Sains Aktuaria pada Mata Kuliah Kalkulus Integral Wazithah, Mar Athul; Nasir, Norma
Journal of Mathematics, Statistics and Applications Vol. 2 No. 1 (2025): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

Beberapa hasil penelitian menunjukkan bahwa mahasiswa yang memiliki hasil belajar rendah pada mata kuliah kalkulus diferensial, maka hasil belajarnya pada mata kuliah kalkulus integral. Oleh karena itu, penelitian ini bertujuan untuk mengetahui ada atau tidaknya pengaruh pengetahuan kalkulus diferensial terhadap hasil belajar kalkulus integral, serta besar kontribusi yang diberikan. Populasi dalam penelitian ini yaitu seluruh mahasiswa program studi sains aktuaria semester 2 yang terdiri dari 2 kelas. Teknik penga,bilan sampelnya yaitu purposive sampling dan terpilih kelas B2 dengan jumlah mahasiswa sebanyak 20 orang. Adapun pendekatan yang digunakan dalam penelitian ini yaitu pendekatan kuantitatif dengan metode korelasional. Hasil dalam penelitian ini menunjukkan nilai sig. 0,002 lebih kecil dari 0,05 yang berarti terdapat pengaruh pengetahuan kalkulus diferensial terhadap hasil belajar mahasiswa program studi sains aktuaria pada mata kuliah kalkulus integral. Adapun besar kontribusi pengetahuan kalkulus diferensial terhadap hasil belajar dalam mata kuliah kalkulus integral yaitu sebesai 49,1%.
Studi Literatur: Sistematisasi Metode Kuantitatif dalam Pemodelan Tingkat Pengangguran di Indonesia Rahayu, Ayu
Journal of Mathematics, Statistics and Applications Vol. 2 No. 1 (2025): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

Studi literatur ini menganalisis secara sistematis 20 penelitian tentang pemodelan Tingkat Pengangguran Terbuka (TPT) di Indonesia untuk mengevaluasi efektivitas berbagai metode kuantitatif. Hasil menunjukkan bahwa regresi data panel (35% studi) unggul dalam analisis faktor makro dengan R² >90%, namun kurang mampu menangkap variasi spasial yang justru efektif diakomodasi oleh pemodelan spasial seperti Geographically Weighted Regression (30% studi), khususnya di wilayah dengan disparitas tinggi seperti Jawa dan Sumatera. Temuan mengidentifikasi konsistensi pengaruh negatif upah minimum (elastisitas -0.32 hingga -0.45) dan pendidikan terhadap TPT, serta signifikansi efek spillover spasial (ρ=0.34–0.52). Studi ini mengungkap kesenjangan penelitian di wilayah timur Indonesia (Sulawesi, Papua) dan kurangnya pemanfaatan model hybrid, sekaligus merekomendasikan pendekatan kebijakan yang spesifik-lokasi dan penguatan sistem data spasial untuk analisis yang lebih komprehensif di masa depan.
Peran Pemecahan Masalah dalam Meningkatkan Kemandirian Belajar Peserta Didik melalui Metode Problem Based Learning Liani, Ahyani Mirah
Journal of Mathematics, Statistics and Applications Vol. 2 No. 1 (2025): Mei
Publisher : PT. Lontara Digitech Indonesia

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

Abstract

Kemampuan pemecahan masalah adalah komponen penting dari proses pembelajaran. Ada sejumlah metode yang dapat digunakan untuk meningkatkan keterampilan pemecahan masalah yang didasarkan pada langkah Polya; salah satunya adalah model problem based learning. Dalam model pembelajaran ini, peserta didik diminta untuk meningkatkan kemampuan memecahkan masalah mereka dengan berpikir kritis, menentukan lokasi masalah, dan menemukan solusinya. Dengan menggunakan langkah-langkah Polya dan model problem based learning (PBL), tujuan penelitian ini adalah untuk mengetahui peran lingkaran pemecahan masalah dalam meningkatkan kemandirian belajar peserta didik. Penelitian ini dilakukan melalui proses sistematis yang dikenal sebagai kajian pustaka. Dalam proses ini, peneliti mengumpulkan, mengevaluasi, dan mensintesis literatur atau penelitian lain yang relevan dengan subjek penelitian. Hasil penelitian menunjukkan bahwa lingkaran pemecahan masalah memainkan peran penting dalam meningkatkan kemandirian belajar peserta didik melalui pendekatan belajar berbasis masalah yang baik.
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.

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