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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 4 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2025): September" : 4 Documents clear
The Effectiveness Of Using TPACK-Integrated Learning Media On The Learning Outcomes Of Exponentiation Among Eighth-Grade Students Rizkiana, Nila; Sridana, Nyoman; Kurniawan, Eka
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 3 No. 2 (2025): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v3i2.347

Abstract

The background of this study is the low student learning outcomes, the ineffective learning process, and the lack of teacher interaction. This research aims to examine the effectiveness of using TPACK-integrated learning media on the learning outcomes of exponent numbers among eighth-grade students at SMP Negeri 1 Kediri. The research approach used is quantitative, with a research design of Pretest-Posttest Only Control Group Design. The population in this study includes all eighth-grade students at SMPN 1 Kediri, and the sampling technique used is purposive sampling. The selected sample consists of class VIIIC as the control group and class VIIIE as the experimental group. The research instruments include test questions, observations, and student response questionnaires. The data analysis techniques used in this study are descriptive and inferential statistical analysis. The learning media used include instructional videos, Liveworksheets-based LKPD, and Kahoot. The results of the study indicate that the use of TPACK-integrated learning media is effective in improving the learning outcomes of exponent numbers among eighth-grade students at SMP Negeri 1 Kediri in the 2024/2025 academic year. This effectiveness is demonstrated by: (1) An increase in the average learning outcomes of the experimental class by 0.7342, which falls into the high category. (2) A significant difference in the average mathematics learning outcomes between the control and experimental classes, as indicated by the independent sample t-test, where t_calculated > t_table (6.104 > 2.005).
Analysis of students' mathematical problem solving ability in solving minimum competency assessment questions on algebra content Listia; Milla; Riski; Djamilah, Soraya
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 3 No. 2 (2025): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v3i2.370

Abstract

Problem solving ability is a mathematical ability that students must have in learning mathematics. Mathematical problem solving in algebraic material is a problem that must be solved using algebraic methods, in solving it there are many obstacles that cause students to make mistakes in the problem solving process. This study aims to analyze the mathematical problem solving ability of VIII grade students in solving Minimum Competency Assessment questions on algebra content. This research uses qualitative research methods. The research instruments used test questions and interviews. The test questions given were AKM with algebra content. The test questions given to class VIII students at SMP Negeri 1 Mandastana totaling 44 people. Furthermore, with the purposive sampling method, 2 students who had different answers were taken to be interviewed as validation of the answers that had been done. The results of this study on question number 1 student A was able to fulfill stages (1), (2), (3), and (4) while student B only fulfilled stages (1), (3), and (4), then on question number 2 student A only fulfilled stages (1), (3) and (4) while student B was only able to fulfill stages (3) and (4).
Effects of Fuel Subsidy Removal and Transportation Fare on School Attendance and Learning Outcome in Mathematics among Secondary School Students in Ilorin, Kwara State Alanamu , Taoheedat; Olarewaju , Adetunji Kamaldeen; Omolola, Abdulrasheed Mariam
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 3 No. 2 (2025): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v3i2.356

Abstract

Fuel subsidy in Nigeria is one of many consumption subsidy programmes of the government, which attempts to lower the fuel cost by providing direct financial support to oil firms, thereby lowering the fuel price for Nigerians. The removal of fuel subsidy by the Nigeria President has inevitably raised the cost of living across the board and inflicted strain on the wider population. Public schools emerged as the predominant choice among the people of Kwara State, with students constituting the largest segment, followed by teachers and parents/guardians. There are significant challenges and barriers linked to transportation expenses, putting their detrimental effects on mathematics education. This study presents critical insights into the impact of fuel subsidy removal and transportation fare on teaching and learning of mathematics in secondary schools in Ilorin, Kwara State. The study employed rigorous statistical methods, including statistical techniques of descriptive statistics of frequencies and percentages to summarize the demographic information along chi-square test, Pearson correlation and regression analysis, to explore the connection between transportation fare and students' attendance in mathematics classes, as well as the impact of fuel subsidy removal on the teaching and learning of Mathematics, It is obtained from the result that removal of fuel subsidy have negative impact on the teaching and learning of Mathematics, showing the impact on different areas of teaching and learning processes.A significant revelation was the prevalence of walking or trekking as the primary mode of transportation to school for approximately 64% of students. It revealed a robust correlation r-value of 0.312, and the rejection of the null hypothesis. Additionally, regression analysis confirmed the significant influence of transportation costs on students' attendance and punctuality along chi-square test.Furthermore, respondents offered valuable insights into potential solutions. While adjusting school timings garnered disagreement, an overwhelming majority favored educational authorities providing subsidies for transportation. Respondents also expressed enthusiasm for implementing shuttle services and developing online resources for mathematics learning, particularly in mitigating the impact of transportation barriers.Crucially, the study unearthed significant challenges and barriers linked to transportation expenses, affirming their detrimental effects on mathematics education in selected secondary schools in Ilorin. The findings suggest the provision of urgent strategic interventions, including financial support and digital resources, to alleviate transportation-related barriers and enhance mathematics education
A Petrological Estimation and Classification of the Lick2 in Kerang Ii Volcano of Jos Plateau State, Using Geothermometric and Empirical Approaches Isah, Lekmang C.; Ifeanyi, Achuenu
Sigma&Mu: Journal of Mathematics Education, Mathematics, Statistics and Data Science Vol. 3 No. 2 (2025): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v3i2.484

Abstract

Abstract: The KERANG II volcano on the Jos Plateau, Plateau State, Nigeria, is part of a series of significant volcanic activity and provides a unique window into understanding regional magmatic and geodynamic processes. Volcanic rocks in this area are often associated with geochemical and petrological anomalies, making it an important subject for in-depth scientific investigation. To understand the evolution and composition of the Earth's interior, detailed characterization of igneous rocks is fundamental. This study aims to estimate and classify the petrology of LICK2 samples from KERANG II Volcano, Jos Plateau, Plateau State, Nigeria, by applying Bowen and Goldschmidt's concepts through Geothermometric and Empirical approaches. The analysis shows that, based on a mathematical framework combining Bowen and Goldschmidt's rules, LICK2 samples are classified as members of the gabbro clan. Minerals estimated using the empirical approach include Augite (Basic Clinopyroxene), Hyalosiderite (Basic Olivine), Labradorite (Basic Plagioclase), and Ulvospinel (Iron Ore). The gabbro clan includes basalt, dolerite, norite, scoria, and gabbro. Empirically, LICK2 samples from KERANG II Volcano show characteristics of gabbro clan rocks with alkaline basaltic magma types. This study successfully establishes a "mathematical relationship" between Bowen and Goldschmidt's concepts, providing a concise explanation of the mineral formation of KERANG II Volcano rocks, from the beginning to the end of crystallization. Keywords: Bowen; Geology and Rock; Goldschmidt; Numerical, Empirical

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