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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 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2023): March" : 5 Documents clear
The Factors on Labor and Delivery Duration Among Births and Hospitalization Records: The Application of Survival Analysis Astawa, I Gusti Made Yoga; Lukman, Iing; Aryawati, Wayan
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 Madaki, Umar Yusuf; Babura, Babangida Ibrahim; Sani, Muhammad; Abdullahi, 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.v1i1.45

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 Saadati , Mahsa; Bagheri, Arezoo
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 Baba, Abdullahi Mohammed; Doko, Umar Chado; Usman, Hassan; Mamuda, Mamman; Garba, Usman; Kontagora, Nasir Muazu
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 Dalatu, Paul I.; Ibrahim, Asabe
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

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