https://scholar.ummetro.ac.id/index.php/sciencestatistics <p><strong>Sciencestatistics: Journal of Statistics, Probability, and Its Application</strong> is published twice a year, namely in January and July. Published papers are research papers with, but not limited to, the following topics: statistical inference, experimental design and analysis, survey methods and analysis, research operations, data mining, statistical modeling, statistical updating, time series and econometrics, multivariate analysis, statistics education, simulation and modeling, numerical analysis, algebra, combinatorics, and applied mathematics. All papers are reviewed by peer reviewers consisting of experts and academics.</p> <p>Indexing:</p> <div> <p><a href="https://garuda.kemdikbud.go.id/journal/view/34536"><img src="/public/site/images/wdewi1/garuda1_(2).png"></a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <a href="https://journals.indexcopernicus.com/search/details?id=130459"><img src="/public/site/images/wdewi1/logo_glowne_1000_(2).png"></a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<img src="/public/site/images/wdewi1/Dimensions-logo2.png"><a href="https://www.base-search.net/Search/Results?lookfor=sciencestatistics&amp;name=&amp;oaboost=1&amp;newsearch=1&amp;refid=dcbasen"><img src="/public/site/images/wdewi1/BASE_index1.png"></a></p> </div> <div> <p>&nbsp;</p> </div> Universitas Muhammadiyah Metro en-US Sciencestatistics: Journal of Statistics, Probability, and Its Application 2964-2884 https://scholar.ummetro.ac.id/index.php/sciencestatistics/article/view/10289 <p>This cross-sectional study aimed to investigate the potential association between body mass index (BMI) and dental caries (DMFT) in adolescents aged 12-16 years in Rangpur, Bangladesh. A total of 300 students participated in the study. Dental caries prevalence was assessed using the DMFT index, and BMI was calculated according to standardized protocols. Socioeconomic status, sugar consumption, and physical activity levels were also captured through questionnaires. Statistical analysis employed multivariate logistic regression and linear regression models to explore the relationships between BMI, dental caries, and other factors. Dental caries (DMFT &gt; 0) was present in 54.1% of participants, while 32% were classified as overweight or obese. A statistically significant positive correlation was observed between BMI and DMFT (P = 0.008). Compared to those within the normal BMI range, obese participants were 1.79 times more likely to exhibit healthy teeth (DMFT = 0) (P = 0.02). Higher socioeconomic status (P = 0.005) and fluoridated toothpaste use (P = 0.02) were also associated with a greater likelihood of healthy teeth. Physical activity displayed a significant negative association with BMI (P &lt; 0.001). This study demonstrated a positive association between BMI and dental caries in Rangpuri teenagers. Interestingly, obese participants were more likely to have healthy teeth, potentially signifying the influence of sociodemographic factors and oral hygiene practices in mitigating caries risk. The study highlights the importance of considering socioeconomic context and preventive measures while addressing the link between obesity and dental health in this population.</p> Akram Hossain Mohammad Razib Mustafiz Copyright (c) 2026 Sciencestatistics: Journal of Statistics, Probability, and Its Application 2026-01-30 2026-01-30 4 1 1 15 10.24127/sciencestatistics.v4i1.10289 https://scholar.ummetro.ac.id/index.php/sciencestatistics/article/view/11069 <p>Poverty is a socio-economic issue that requires policy planning based on accurate forecasting. This study uses the Brown Double Exponential Smoothing method to forecast the number of poor people in Metro City for the period 2026-2030, using data from 2005-2025 obtained from BPS. The analysis was conducted using a trial and error&nbsp; method for the alpha (α) parameter ranging from 0.1 to 0.9 based on the smallest MAD, MSE, and MAPE values. The study results indicate that the optimal alpha parameter is α = 0.5 with a MAPE of 15.91231%, which indicates good accuracy. The forecast shows an increasing trend from 321.90 thousand people (2026) to 338.87 thousand people (2030), with an average increase of 4.24 thousand people per year. The results of this study can be used as a basis for planning poverty alleviation programs in Metro City.</p> Intan Utami Ana Istiqomah Sangidatus Sholiha Copyright (c) 2026 Sciencestatistics: Journal of Statistics, Probability, and Its Application 2026-03-27 2026-03-27 4 1 16 27 10.24127/sciencestatistics.v4i1.11069