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Desimal: Jurnal Matematika
Published by Universitas Islam Negeri Raden Intan Lampung
ISSN : 26139073     EISSN : 26139081     DOI : -
Core Subject : Education, Social,
Education Mathematics Social Sciences
Desimal: Jurnal Matematika, particularly focuses on the main issues in the development of the sciences of mathematics education, mathematics education, and applied mathematics. Desimal: Jurnal Matematika published three times a year, the period from January to April, May to Augustus, and September to December. This publication is available online via open access.
Arjuna Subject : -
Articles 319 Documents
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The role of mathematics education students in motivating learners to use three-dimensional geometry learning media Tali Wangge, Maria Carmelita; Lewa, Yusta Selvianjeli; Tawa, Maria Goreti; Jodo, Dominikus Kaka
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202528247

Abstract

Mathematics learning, particularly three-dimensional geometry, is often perceived by junior secondary school students as abstract and difficult, which can negatively affect learning motivation and engagement. Instructional innovation is therefore required to support students’ understanding and participation. This study aims to systematically review the literature on the role of university students in motivating learners to use three-dimensional geometry learning media in mathematics education. A qualitative systematic literature review (SLR) design was employed, analyzing scholarly articles, books, and conference proceedings published between 2010 and 2025. Data were examined using thematic content analysis to synthesize patterns related to learning media, student motivation, and the pedagogical involvement of university students. The findings indicate that three-dimensional geometry learning media, including concrete manipulatives and technology-based tools, consistently enhance students’ motivation, engagement, and conceptual understanding. In addition, the involvement of university students as facilitators and learning companions strengthens the effectiveness of media use by creating more interactive and supportive learning environments. The review also reveals that contextual factors such as instructional strategies, media design, and infrastructure influence learning outcomes. Overall, this study highlights that combining geometry learning media with university student involvement represents a strategic pedagogical approach to support more meaningful and student-centered mathematics learning.
Interpreting the use of video media in mathematics learning at SMPN Satap 1 Bajawa Hari, Christina Lusiana; Bela, Maria Editha; Lola, Teofania Kristina; Wea, Marselina
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529121

Abstract

Mathematics learning, particularly at the junior secondary level, is often perceived as abstract and difficult, which can reduce students’ motivation and engagement. One instructional strategy that has the potential to address this issue is the use of YouTube-based instructional video media. This study aims to describe teachers’ and students’ interpretations of the use of video media in mathematics learning at SMP Negeri Satap 1 Bajawa, as well as to identify the challenges encountered during its implementation. The study employed a qualitative descriptive approach. Data were collected through classroom observations, interviews with mathematics teachers and students, and documentation of learning activities. The data were analyzed using an interactive model consisting of data reduction, data display, and conclusion drawing. The findings indicate that the use of YouTube-based video media positively influences the learning process by increasing students’ motivation, focus, and conceptual understanding of mathematical material. Students perceived video-based learning as more interesting and enjoyable compared to conventional instruction, and they appreciated the ability to replay learning content independently. Teachers reported that video media supported clearer explanations of abstract concepts and improved student engagement. However, several challenges were identified, including limited availability of supporting facilities and the pace of explanations in some videos, which were considered too fast for certain students. Overall, the study concludes that YouTube-based instructional video media have strong potential to support more meaningful and contextual mathematics learning, particularly in schools with limited resources, provided that the content and implementation are adapted to students’ learning needs..
Prediction of refugee arrivals abroad in indonesia using exponential smoothing model Safwandi; Afrizal Refo; Budi Irwansyah; Ine Zunianti
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529168

Abstract

The trend of refugee arrivals in Indonesia has become a pressing issue due to global conflicts, wars, and human rights violations. Accurate forecasting of these arrivals is crucial for effective planning and resource allocation by governmental and humanitarian organizations. This study aims to forecast refugee arrivals in Indonesia using exponential smoothing models, providing reliable predictions to support evidence-based decision-making and strategic policy planning. The dataset used in this research was obtained from the official UNHCR Indonesia repository, covering the period from April 2020 to July 2023. An exponential smoothing framework was employed, incorporating both single-parameter and two-parameter (Holt’s) models. The smoothing constants were optimized at α = 1.00 and β = 0.1237509, representing the level (Ft) and trend (Lt) components, respectively. A quantitative evaluation using key error metrics showed that both single-parameter and two-parameter (Holt’s) models captured data patterns accurately. The two-parameter model outperformed the single-parameter model (MAPE = 0.66, MAE = 84.57, RMSE = 132.63) and projected arrivals of 12.005, 11.913, and 11.821 for the next three periods. These results indicate that Holt’s model effectively represents the temporal dynamics of refugee inflows and provides a data-driven framework to support evidence-based refugee management and strategic policy planning in Indonesia.
A semidiscretization scheme for european option pricing based on the black scholes model Nur Annisa Mulia; Rudianto Artiono
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529273

Abstract

The development of derivative instruments in modern financial markets has created a growing need for option pricing methods that are both accurate and easy to implement. This study aims to calculate the price of European call options using the Black-Scholes model through a semidiscretization numerical approach. The method used involves time transformation, discretization of space variables, and explicit Euler scheme iteration to obtain numerical solutions. This method is applied to real stock price data, and the numerical results are compared with the Black-Scholes analytical solution at various grid numbers. The results show that accuracy increases with the number of grids, and the relative error is very small when M is large enough, so that this method is capable of producing a numerical approximation that is consistent with the analytical solution. These findings also confirm the trade-off between efficiency and accuracy,but still show that semidiscretization can be a practical, fast, and flexible alternative when analytical solutions are difficult to use or when parameter changes need to be evaluated dynamically. This research contributes by showing that a simple numerical approach can still work effectively in real market conditions, making it a practical and efficient alternative for analysts who need fast and flexible calculations without the complexity of advanced numerical methods.
Application of the DAG-SVM for multi-class mobile phone price classification Sihombing, Natanael Oktavianus Partahan; Christyan Tamaro Nadeak; Linda Rassiyanti; Fajri Farid
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529450

Abstract

This study investigated the application of multiclass Support Vector Machine (SVM) strategies for smartphone price range classification using the Mobile Price Classification dataset (N = 2,000). The aim was to assess whether the Directed Acyclic Graph SVM (DAG-SVM) could provide improvements in predictive performance or computational efficiency compared with the conventional One-vs-One (OvO) and One-vs-Rest (OvR) approaches. The dataset’s twenty features were standardized using Z-score normalization and split into training and testing sets with an 80:20 ratio. All models were implemented using a linear kernel and evaluated based on accuracy, macro-precision, macro-recall, macro-F1, and execution time. The results showed that both OvO and DAG-SVM achieved the highest performance, with an accuracy and macro-F1 score of 96.25%, while OvR performed substantially lower. Despite the theoretical efficiency of DAG-SVM, its Python-based sequential elimination process led to slower prediction time than OvO. This study contributed empirical evidence that execution time can diverge from theoretical expectations in practical implementations and demonstrated the importance of computational efficiency analysis when comparing multiclass SVM architectures for mobile price classification.
Integration of James banks' multicultural theory in mathematics learning Wewe, Melkior; I Wayan Suastra; Ananta Wikrama Tungga Atmaja; I Nyoman Tika
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529453

Abstract

Multicultural education and ethnomathematics share a philosophical orientation that positions education as a process of humanization and cultural empowerment. Integrating these perspectives offers a broader foundation for culturally responsive mathematics education. This study aims to formulate an integrative conceptual framework that synthesizes James A. Banks’ multicultural education theory with D’Ambrosio’s ethnomathematics principles to guide equitable and culturally grounded mathematics instruction. A Systematic Literature Review (SLR) was conducted using thematic analysis and theoretical synthesis of 20 peer-reviewed articles and six foundational academic books published between 2015 and 2025. The analytical procedure employed open coding, axial coding, and selective coding to identify theoretical convergences across the two frameworks. The study proposes the 3E Framework: Equity, Engagement, and Empowerment, conceptualizing mathematics learning as a culturally situated, reflective, and empowering process. Multicultural ethnomathematics-based instruction enhances students’ multicultural awareness, strengthens connections between mathematical concepts and local cultural practices, and fosters higher-order thinking skills. This framework contributes to the development of humanistic and inclusive mathematics pedagogy aligned with Indonesia’s Merdeka Belajar policy and the Profil Pelajar Pancasila framework. Although conceptual, the model provides a foundation for future empirical validation to assess its effectiveness in classroom practice.
Enhancing multiclass SVM classification using a hybrid directed acyclic graph and rest-vs-rest strategy Nadeak, Christyan Tamaro; Farid, Fajri; Rassiyanti, Linda; Siahaan, Arielva Simon; Putri, Lutfia Aisyah
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529469

Abstract

This study proposes a modified Directed Acyclic Graph Support Vector Machine (DAG-SVM) using a Rest-vs-Rest (RvR) strategy to address the multiclass classification problem in the Hepatitis C dataset from Kaggle, which contains four diagnostic categories with a highly imbalanced class distribution, with class sample sizes of 540, 24, 21, and 30, respectively. The aim of this study is to examine how hierarchical decision structures interact with extreme class imbalance in SVM-based multiclass classification. The method is implemented through three fixed hierarchical decision schemes {0,1} vs. {2,3}, {0,2} vs. {1,3}, and {0,3} vs. {1,2} which restructure the decision flow of conventional DAG-SVM. Experimental evaluation shows that although the proposed schemes achieve relatively high overall accuracy (0.91–0.93), the precision, recall, and F1-scores for minority classes remain extremely low. These findings offer a new empirical insight into how class imbalance propagates through the DAG hierarchy, leading to early elimination of minority classes, and highlight the need for imbalance-handling techniques such as resampling, cost-sensitive learning, or synthetic data generation. The contribution of this work lies in demonstrating the limitations of DAG-RvR under severe imbalance and providing a structured evaluation that can guide future improvements for more reliable multiclass recognition.
A fuzzy goal programming model with probabilistic constraints based on the poisson distribution Khairiyah Manurung, Silvi; Mardiningsih; Saib Suwilo
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202529493

Abstract

Uncertainty and fuzzy ambiguity often complicate multi-objective decision-making, especially when discrete random events influence system behavior, making classical deterministic models insufficient. This study aims to develop a Probabilistic Fuzzy Goal Programming (PFGP) model that incorporates the Poisson distribution by reformulating the right-hand side (RHS) constraints into probabilistic expressions to more accurately represent discrete uncertainty. The methodological approach includes revisiting PFGP theory, defining decision variables and fuzzy aspiration levels, constructing probabilistic constraints, and applying the Poisson distribution to characterize randomness in constraint parameters, with the probabilistic constraints subsequently transformed into deterministic equivalents using the Poisson quantile function to ensure computational tractability. The results demonstrate that the proposed Poisson-based PFGP model produces more realistic, flexible, and robust decision alternatives in dynamic environments involving event-count data. The study contributes a Poisson-driven quantile reformulation mechanism for RHS constraints, offering a novel and effective pathway for handling discrete uncertainty within multi-objective fuzzy optimization.
An analysis of numeracy problem-solving difficulties among seventh-grade students in PISA-type tasks Jari, Wilburga Laong Leony; Asri, Maria Angelina; Wewe, Melkior
Desimal: Jurnal Matematika Vol. 8 No. 3 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i3.202530479

Abstract

Education serves as a fundamental foundation for developing high-quality and competitive human resources and plays a strategic role in supporting sustainable development. Within the framework of the Sustainable Development Goals (SDGs), quality education is positioned as Goal 4, which aims to ensure inclusive, equitable, and quality education while promoting lifelong learning opportunities for all. In line with this objective, this study focuses on analyzing the difficulties experienced by seventh-grade students at SMP Negeri 1 Bajawa, Ngada Regency, in solving PISA-type numeracy problems. The study not only identifies students’ levels of numeracy literacy but also examines in depth the difficulties encountered at each stage of the problem-solving process. A mixed methods approach with a sequential explanatory design was employed, beginning with the collection and analysis of quantitative data to determine students’ numeracy literacy levels, followed by qualitative data collection and analysis to explore the types, stages, and factors contributing to students’ difficulties in solving PISA-type numeracy problems. The results indicate that the numeracy literacy skills of seventh-grade junior secondary school students remain at low to moderate levels, particularly when solving PISA-type numeracy tasks that require contextual understanding and mathematical modeling. Among the stages of problem solving, mathematical modeling emerged as the most challenging, as many students were unable to connect contextual situations with relevant mathematical concepts or construct appropriate mathematical representations.

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