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INDONESIA
Journal of Mathematics and Applied Statistics
ISSN : -     EISSN : 29874548     DOI : -
Core Subject : Education,
Journal of Mathematics and Applied Statistics (ISSN: 2987-4548) is scientific, peer-reviewed, and open access journal managed by Yayasan Insan Literasi Cendekia (INLIC) Indonesia. Published twice a year on June and December. Mathstat publishes original research and/or library analysis on Mathematics and Statistics. This journal is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of Mathematics and Statistics.
Articles 5 Documents
Search results for , issue "Vol. 2 No. 1 (2024): June 2024" : 5 Documents clear
Mathematical Model of Love Dynamics in the Story of the Romantic Legend of the Mandar Tribe Rifandi, Muhammad; Apriyanto, Apriyanto; Alnisari, Alnisari
Journal of Mathematics and Applied Statistics Vol. 2 No. 1 (2024): June 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i1.153

Abstract

In this study, the mathematical model of love is discussed based on the legend of the Mandar tribe area in West Sulawesi Province. Love is an active action / activity carried out by humans towards other objects, in the form of self-sacrifice, empathy, attention, affection, help, obey words, follow, obey, and want to do whatever the object wants. This study aims to determine the mathematical model for the dynamics of love in the story of two lovebirds contained in the legend of Mandar and determine the equilibrium point and analyze the stability of the mathematical model of their love dynamics so that simulations and interpretations of mathematical models of dynamics can be carried out. Based on the model obtained, it can be known how the dynamics of love that occur between kaco and cicci based on several possible cases that can occur between the two of them. By using maple software, an equilibrium point is obtained consisting of two types of equilibrium points, namely the equilibrium point of the mathematical model of love if there is no struggle from kaco  ' and the equilibrium point of the mathematical model of love if there is a struggle from kaco'.
The Effect of Problem-Based Learning on Students’ Mathematics Problem Solving Ability Yulyana, Yulyana; Hamid, Hariaty; Anwar, Azwar
Journal of Mathematics and Applied Statistics Vol. 2 No. 1 (2024): June 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i1.167

Abstract

The purpose of this study was to determine the effect of problem-based learning on students' mathematics problem solving ability at SMA Negeri 1 Tanjung Palas Tengah. This research is an experimental research with pretest- posttest control group design. The population in this study were all grade XI students at SMA Negeri 1 Tanjung Palas Tengah. The sample was drawn using cluster random sampling technique and the research sample was obtained, namely class XI IPA 1 with a total of 15 students as an experimental class and class XI IPA 2 with a total of 15 students as a control class. The data collection technique in this study was a written test. Data analysis in this study used descriptive analysis, namely the average and standard deviation and prerequisite tests, namely normality test and homogeneity test for initial data and hypothesis testing using independent sample t-test statistical test. The results of the descriptive analysis showed that the average pretest score in the experimental class was greater than the average pretest score in the control class, which was 59.87 in the experimental class while in the control class it was 52.87. While the posttest value in the experimental class was 79.93, while in the control class it was 65.33. Based on the results of the independent sample t-test analysis with a significant level of 5% (α = 0.05). Thus H0 is rejected and H1 is accepted, so it can be concluded that the problem-based learning model affects the problem solving ability of class XI students of SMA Negeri 1 Tanjung Palas Tengah.
Multivariate Analysis of the Attributes of a Central Attacking Midfielder Nwokike, Innocent Chukwudozie; Ngozie, Erumaka Ephraim; Chrysogonus, Nwaigwe; Chuks, Obi Martin
Journal of Mathematics and Applied Statistics Vol. 2 No. 1 (2024): June 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i1.179

Abstract

Central attacking midfielders are one of the most vital squad members because of their decisive contributions to the team in the field of play. With teams now acquiring some talented players for as much as 103 million euros, it has become more important than ever to critically investigate the attributes of a central attacking midfielder. This study is designed to investigate the correlation between attributes (variables) such as crossing, finishing, short passing, volleys, dribbling, curve, long passing, ball control, acceleration, sprint speed, agility, stamina, vision, penalties, and composure, using multivariate analysis techniques. The study used canonical correlation analysis (CCA) to analyze these correlations. The study produced three statistically significant canonical functions with canonical correlations of , , and , respectively. The study also showed that canonical function 1 showed more significance (Wilks's and ). A principal component analysis (PCA) was conducted to determine the most important variables for a central attacking midfielder. The PCA generated four components. The first component showed itself to be optimal, with variables such as short passing, long passing, vision, composure, and ball control highlighted as the most relevant attributes of a central attacking midfielder. The study also developed a dynamical system that can be analyzed to understand the efficiency of the central attacking midfielder with respect to the given variables and parameters.
A Stochastic Modeling on Mixture Distribution with Application to Using Cancer Survival Data Sakthivel, M.; Pandiyan, P.
Journal of Mathematics and Applied Statistics Vol. 2 No. 1 (2024): June 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i1.180

Abstract

In this paper, specific statistical considerations are typically required, in order to select the best model for fitting survival data. The proposed the new mixture of Gamma and Shanker Distribution (MGSD), so named because it specifically mixes of two distributions: Shanker and gamma. There is also Reliability Analysis, statistical features such as stochastic ordering, moments, order statistics, entropy, and the Maximum Likelihood Estimation of the model parameters estimating. Lastly, a two real cancer data set is used to demonstrate the use of the AIC, BIC, and AICC model selection methods. It is compared with the fit and shows that the (MGS) distribution is more flexible than the other distributions.
Opportunities and Strategies for Accelerating Digital Transformation: Spatial Distribution Analysis and Clustering Using K-Medoids Method In South Sulawesi, Indonesia Idris, Aditya; Susilawati, Sumarni
Journal of Mathematics and Applied Statistics Vol. 2 No. 1 (2024): June 2024
Publisher : Yayasan Insan Literasi Cendekia (INLIC) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/mathstat.v2i1.188

Abstract

The increase in internet usage among the population in South Sulawesi prsesents a golden opportunity for accelerating digital transformation efforts. This can be leveraged to boost economic growth, particularly by maximizing the key sectors in South Sulawesi. The aim of this study is to analyze the spatial distrubution and perform clustering of the regencies/cities in South Sulawesi based on digital transformation indivators, as well as to determine the multiplier effect on other regions in Sulampua. The research method employed is quantitative, utilizing descriptive analysis and clustering analysis of regencies/cities in South Sulawesi with the K-Medoids method. The results show that spatially, the distribution of internet users, e-commerce users and SMEs using the internet have quite varied patterns and reveal a high disparity in service users among regencies/cities in South Sulawesi. Meanwhile, the clustering results indicate that the regencies/cities in South Sulawesi are balanced between cluster 1 and cluster 2, each consisting of 12 regencies/cities. It was found that cluster 2, which includes regencies and cities in South Sulawesi, has better variable values in almost all variables comparated to the regencies/cities in cluster 1. Generally, cluster 2 dominates all the variables used, while cluster 1 is only superior in the variable of the number of SMEs. The suggestions and policy recommendations for the government based on this study on the acceleration of digital transformation with spatial distribution and clustering analysis can help create on environment that supports sustainable digital economic growth. With coordinated and collaborative policy strategies, South Sulawesi can achieve significant acceration in digital transformation. 

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