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Sigma&Mu: Journal of Mathematics, Statistics and Data Science
Published by Balai Publikasi Indonesia
ISSN : 29872030     EISSN : 29872049     DOI : https://doi.org/10.56566/sigmamu
Core Subject : Education,
Education Mathematics
Sigma&Mu: Journal of Mathematics, Statistics and Data Science is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of mathematics, statistics, and data sciences. As an important academic exchange platform, scientists and researchers can know the most up-to-date academic trends and seek valuable primary sources for reference. The subject areas include, but are not limited to the following fields: Pure and Applied Mathematics, Mathematics Education, Optimizations, Pure and Applied Statistics, Statistics Education, Experimental Designs, Survey Methodology, Spatial Statistics, Multivariate Statistics, Time Series Analysis, Statistical Modeling, Bayesian Statistics, Climate Modeling, Environmental Statistics, Engineering Statistics, Statistics for Social Sciences, Medical Statistics, Chemometric, Bioinformatics, Big Data Analytics, Deep Learning, Sentiment Analysis, and Classification Modeling.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 32 Documents
 1   2   3   4 
An Analysis Of Mathematical Literacy Skills In Solving Pisa Mathematics Problems Among Students Santiwidia, Arwini; Arjudin; Kurniawan, Eka; Prayitno, Sudi
Sigma&Mu: Journal of Mathematics Education, Mathematics, Statistics and Data Science Vol. 4 No. 1 (2026): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v4i1.435

Abstract

This study aims to analyze mathematical literacy skills in solving PISA mathematics questions based on the level of mathematical literacy skills among students at SMPN 13 Mataram in the 2024/2025 academic year. This is a descriptive qualitative study involving 52 students from classes IX A and IX B, with 8 students selected as subjects. The research instruments used were a mathematics literacy test adapted from PISA and interview guidelines. Data were analyzed based on mathematics literacy process indicators (formulate, employ, interpret). The results showed that out of the 6 levels of mathematical literacy, no students reached levels 5 and 6. At level 1, students could formulate explicit information and solve problems using simple algorithms, at level 2, they could identify implicit information and select basic strategies to solve problems; at level 3, they could process complex explicit information containing distractors and develop sequential strategies for decision-making, while Level 4 can formulate explicit information in everyday contexts and apply strategies to complex concrete situations. Students at Levels 1-4 also have the ability to interpret and draw conclusions based on the context of the problem.
Operations Research Techniques for Cost Minimization in Transportation AKANNI, Saheed Busayo; Garba, M.K.; Abogunrin, O.O.; Noah, R.O.
Sigma&Mu: Journal of Mathematics Education, Mathematics, Statistics and Data Science Vol. 4 No. 1 (2026): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v4i1.619

Abstract

Optimizing the distribution of goods from multiple suppliers to multiple customers is a key challenge in supply chain management. This study compares the suitability of three classical methods for solving a 10-supplier by 15-customer transportation problem. The data used for the study were extracted from the 2023 record of a fertilizer-producing company in Nigeria, which has 10 outlets and 15 major distributors. The results revealed that the North-West Corner Method, although simple to apply despite the fact that it is cost-inefficient. Though the Minimum Cost Method behaved better in terms of efficiency, resulting to its focus on selecting low-cost routes. However, Vogel’s Approximation Method improved the allocations by adding cost-penalty factors. This led to the lowest overall cost of the three methods. Findings from the study showed that Vogel’s Approximation Method is a practical and effective way to get close-to-best solutions in the transportation problem. Within the framework of the paper, operational guidelines regarding logistics management and cost management were provided. This provision indicates that the choice of method is significant in repetitive decision-making in supply chain systems. This study provided guidelines for logistics and cost management, because it stressed that choosing the right method is essential for making repeated decisions in supply chain systems. Hence, the study concluded that if minimizing the cost of transportation is desired Vogel’s Approximation Method is recommended for supply chain system.

Page 4 of 4 | Total Record : 32

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