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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 28 Documents
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The Factors on Labor and Delivery Duration Among Births and Hospitalization Records: The Application of Survival Analysis I Gusti Made Yoga Astawa; Iing Lukman; Wayan Aryawati
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 1 (2023): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i1.44

Abstract

During labor and delivery has a risk of morbidity and mortality to the mother and the fetus. The length of duration process is one of the causes of maternal and fetal morbidity and mortality. Several cases reported of prolonged labor and delivery duration at Mutiara Bunda hospital, Tulang Bawang Lampung had been increasing in the first quarter of 2014 which caused 66.67% neonatal deaths, indicating 29.61% cesarean section and vacuum extraction. The aim of the study was to find out the factors on labor and delivery duration among births and hospitalization records: The application of survival analysis. A quantitative observational analytic study with a design retrospective cohort, using secondary data from births and hospitalization records: The application of survival analysis. The birth recorded from January to December 2013 and the Sample of 205 medical record taken by Circular Systematic Sampling. The research variables were labor and delivery duration, risk status mother's age, parity, Hemoglobin concentration, blood pressure, uterine contractions, and the baby's weight. Data were analyzed using survival analysis by method the cox proportional hazards regression analysis, consisting of univariate, bivariate, and multivariate analysis. Finding of 66.3% women who experienced spontaneous onset of labor with a median duration of labor of 7.50 hours, the fastest delivery time was 1.08 hours from admission to placental delivery spontaneously with or without curing (the longest 22.75 hours); mother's age  without risked status category of 81%; parity of 52.7% multiparous, Hemoglobin concentration of 75.1% had an abnormal, blood pressure of 63.9% had a normal, uterine contractions of 52.2% was adequate, infant weight 55.1% ≤ 3000 grams. There was a relationship factors a parity (p = 0.003, HR = 0.595), uterine contractions (p = 0.013, HR = 0.664) and the labor and delivery duration. Parity was the most dominant variable, and following by uterine contractions, related to labor and delivery duration. The Function model hazard maternity consisted of two variables without effect of interaction variables, parity (p = 0.007, HR = 0.617) and uterine contractions (p = 0.025, HR = 0.672). It is recommended, for hospital management to periodic monitoring and evaluation of midwifery services according to Minimum Service Standards and Standard Operating Procedure, continuous identification of progress in labor and the well-being of mother and fetus, feeling safe and comfortable for patients, increasing patient and family knowledge, increasing preventive promotive efforts, increasing capacity and officer abilities.
Cured Fraction Models on Survival Data and Covariates with a Bayesian Parametric Estimation Methods Umar Yusuf Madaki; Babangida Ibrahim Babura; Muhammad Sani; Ibrahim Abdullahi
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 1 (2023): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i1.45

Abstract

A cure fraction models are usually meant for survival data that contains a proportion of non subject individuals for the event under study. In order to estimate the cure fraction, two models namely mixture model and non-mixture model were commonly deployed. In this work, mixture and non-mixture cure fraction models were presented with survival data structure based on the beta-Weibull distribution. The beta-Weibull distribution is a four parameter distribution developed in this work as an alternative extension to the Weibull distribution in the analysis of lifetime data. The proposed extension allows the inclusion of covariates analysis in the model, in which the estimation of parameters were done under Bayesian approach using Gibbs sampling methods
Influential Factors on Delay Marriage in Tehran Mahsa Saadati; Arezoo Bagheri
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 1 (2023): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i1.58

Abstract

Today, youth’s marriage due to the socio-economic conditions has become one of the most important subjects in social science. The purpose of this article was to investigate the factors affecting delay marriage of married men and women in Tehran. In this study, the information of 612 married women aged 15-49 years and 588 married men aged 20-59 years were collected through structured questionnaire using two-stage stratified sampling method from different regions of Tehran in 2017, and data were analyzed by Logistic regression model. About 15.3% of people believed that they had delay marriage. The results of logistic regression model showed that, by increasing age, the odds of delay marriage is decreased; employed and migrant people, and those who had less than 2 million Tomans of household expenditure in a month, compared to unemployed (OR = 0.542) and non-migrant (OR = 0.509) people and those who liv in households with more than 3.5 million Tomans expenditure in a month (OR = 0.512) are less likely to delay marriage. However, Fars people and those with kinship marriages were more likely to delay marriage than other ethnicities (OR =1.830) and non-kinship marriages (OR =1.693), respectively. According to the results, job status and expenditure are two influential factors on the delay in marriage age; policymakers in this field can reduce this delay by providing a right platform for working which causes youths earn enough income and can start their marriage life.
Modeling breast cancer and its optimal control Abdullahi Mohammed Baba; Umar Chado Doko; Hassan Usman; Mamman Mamuda; Usman Garba; Nasir Muazu Kontagora
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 1 (2023): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i1.59

Abstract

Breast cancer is the most common cancer among womenfolk, impacting above 1.5 million women every year, and correspondingly roots the utmost number of cancer-related deaths among women. In 2015, 570,000 women died from the disease that is about 15% of all cancer deaths amongst womenfolk. Although the disease rates are higher amongst womenfolk in more industrialized regions, rates are increasing in nearly every region globally. In this paper, a model of the disease is developed. Conditions are derived for the existence of disease free equilibrium. Stability analysis of the model shows that that disease free equilibrium is both locally asymptotically stable and globally asymptotically stable. Optimal control theory is applied to the model and Pontrygain’s Maximum Principle is applied for analysis of the control. To this end, three control strategies were incorporated into disease transmission model. The impact of using possible combinations of the three control strategies was investigated
Buys Ballot Approach in Time Series Analysis of Typhoid Fever Paul I. Dalatu; Asabe Ibrahim
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 1 (2023): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i1.60

Abstract

Typhoid fever (is also called enteric fever) is a bacterial disease spread through contaminated food, water or close contact. However, where it is prevalence government usually recommend vaccines to curtail its deadly spreading in the affected area. The fever is caused by Salmonella typhi bacteria. Therefore, we had adopted the Buys Ballot approach by using time series analysis for the estimation of trend of typhoid fever disease from the year 2011 to 2020 and predicts the future occurrence of the disease in Mubi South Local Government Area (LGA) of Adamawa State, Nigeria. However, based on the data used the result shows that there is significant increase in the recorded cases of typhoid fever disease, it has forecasted and predicted that more number of people may be affected in future compared to the study results obtained. Hence, this study has given some recommendations in order to reduce the prevalence of typhoid fever disease in future
Influence of Type Cooperative Learning Model Two Stay Two Stray On Student Mathematics Learning Outcomes Siti Nurija Nurija; Nyoman Sridana; Eka Kurniawan
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 2 (2023): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i2.135

Abstract

This research aims to determine the effect of the cooperative learning model typeTwo Stay Two Stray (MP-TSTS) on the mathematics learning outcomes of class VIII students at MTs Al Aziziyah Putra Gunungsari. The type of research used is quantitative descriptive researchPost-test Only Control Design. The population in this study were all class VIII students at MTs Al Aziziyah Putra Gunungsari, consisting of 8 classes. The sample in this research was students in classes VIII A and VIII B. The instrument used in this research was a learning outcomes test. The data collected consists of student learning outcomes data. Data were analyzed using descriptive analysis. Results of inferential analysis using test independent sample t-test with the help ofSPSS 23 to test the hypothesis shows that the student learning outcomes data on post-test, gain normalized and student learning outcomes data with a significant value (2-tailed) < 0.05, namely 0.029. So the learning outcomes of students who use MP-TSTS and students who use the small group discussion method are significantly different. This means that MP-TSTS has an effect on improving learning outcomes. Based on the results of the inferential analysis, it can be concluded that the implementation of MP-TSTS is effective/influenced on the mathematics learning outcomes of class VIII students at MTs Al Aziziyah Putra Gunungsari for the 2022/2023 academic year.
Path Analysis of the Decomposition Method to Know the Factors Influence on the Completion of the Thesis Gilang Primajati
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 2 (2023): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i2.141

Abstract

This study aims to perform modeling and determine the factors that significantly and not significantly influence the completion of the thesis. The analysis used is the path analysis of the decomposition method. The data used is primary data by distributing questionnaires. Based on the results of the analysis that has been done, the path analysis model for the factors that influence the completion of the thesis are: The factors that significantly effect are facilities (), selection of specialization courses (), and selection of courses (). While lecturer factor () and motivation factor () have no effect. Supporting facilities factor and selection of supporting courses factor only directly affect the completion of minithesis. While the selection of specialization courses also has indirect effect to the completionof the thesis.
Analysis of Critical Thinking Ability in Solving Story Problems Main Material of Fractional Numbers in View of Student Personality Type Baharunnisa; Eka Kurniawan
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 2 (2023): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i2.142

Abstract

This research aims to determine the level and describe critical thinking abilities in solving story problems on fractional numbers in terms of the personality types of class VII students at SMPN 17 Mataram. This type of research is using mix method. The instrument used is a personality type test, namely a standardized personality testMyers Briggs Type Indicator (MBTI), critical thinking ability tests, and interview guidelines. The sample for this research was class VII-A students, totaling 32 students. From this class, 8 subjects were taken, namely high, medium and low categories for each personality type extrovert, introvert, andambivert to conduct in-depth interviews. The results of the research show that the percentage of students' critical thinking abilities has personality extrovert is 27.31%, namely in the low category. Percentage of students' critical thinking abilities with personality introvert is 57.54%, namely in the medium category. Percentage of students' critical thinking abilities with personality ambivert is 50.23%, namely in the medium category. The research results also show that students have personality extrovert with critical thinking skills in the medium category can go through the clarification and assessment stages while students with personality extrovert Low categories tend to only go through the clarification stage. Personality students introvert with high category critical thinking skills tend to go through the stages of clarification, assessment, strategy and conclusion. Then students have personality introvert Medium categories tend to go through the clarification and strategy stages. Meanwhile, students have personality introvert those in the low category tend to only go through the clarification stage. Personality students ambivert with high category critical thinking skills tend to go through the stages of clarification, assessment, strategy and conclusion. Then students have personality ambivert Medium categories tend to go through the clarification and strategy stages. Meanwhile, students have personality ambivert Low categories tend to only go through the clarification stage
Analysis of Mathematical Problem Solving Ability in View fromSelf-Efficacy Student Social Arithmetic Material Nia Agustina; Laila Hayati; Nani Kurniati; Eka Kurniawan
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 2 (2023): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i2.143

Abstract

This qualitative descriptive research aims to describe students' mathematical problem solving abilities based on Polya indicators in solving social arithmetic problems in terms of self-efficacy. The research subjects were 4 students in class VII of SMP Negeri 4 Gunung Sari for the 2022/2023 academic year, consisting of 2 students in the high category and 2 students in the low category. Data collection techniques using questionnaires, tests and interviews. Data analysis techniques include data reduction, data presentation, and drawing conclusions. The results of this research were obtained from (i) students with level self-efficacy high have high mathematical problem solving abilities can go through all stages of problem solving abilities, namely understanding the problem, preparing a plan, implementing the plan, and checking again. (ii) students by level self-efficacy Low students have low mathematical problem solving abilities which can also be seen from the results of students' work through only two stages, namely the stage of understanding the problem and implementing the plan. With suggestions for students who are at each category level self-efficacy and the level of mathematical problem solving abilities, it is hoped that they can further maximize their abilities
Development of TPACK Based-Learning Media Oriented Towards Students' Motivation and Mathematics Outcomes Aulia Dinda Dwi Kartika; Eka Kurniawan
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 2 (2023): September
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i2.144

Abstract

This study aims to develop Technological Pedagogical Content Knowledge (TPACK)-based learning media oriented towards motivation and mathematics learning outcomes that are valid, practical and effective. The subjects in this study are class VIII students at one of the junior high school in Mataram. This type of this study is Research and Development with the ADDIE (Analysis, Design, Development, Implementation and Evaluation) model. Data analysis in this study was carried out using descriptive quantitative and qualitative regarding the advisibility of learning media obtained from assessment or validation sheets, analysis of the practicality of learning media obtained from student response questionnaires and teacher responses to learning media, and analysis of the effectiveness of learning media obtained from posttest results. The study results obtained that:  TPACK-based learning media has been developed is suitable for use as learning media with high validity; TPACK-based learning media is practically used as learning media with a practicality score of 79.67%;  The N-gain value for increasing students matemathics learning motivation is 43.34% in the medium category, while for increasing students matemathics learning outcomes it is 56.74% in the medium category. Based on the results, TPACK-based learning media is suitable for use, practically applied for learning, less effective for increasing learning motivation, and quite effective in improving learning outcomes

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