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ARRUS Journal of Mathematics and Applied Science
Published by Yayasan Ahmar Cendekia Indonesia
ISSN : 27767922     EISSN : 28073037     DOI : https://doi.org/10.35877/mathscience.v1i1
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Mathematics Physics
Aim: To drive forward the fields related to Applied Sciences, Mathematics, and Its Education by providing a high-quality evidence base for academicians, researchers, scholars, scientists, managers, policymakers, and students. Scope: The focus is to publish papers that are authentic, original, and plagiarism free and should in interest of society and the world.
Arjuna Subject : Umum - Umum
Articles 85 Documents
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Factors Associated with Monocyte and SuPAR Levels in Pulmonary Tuberculosis Patients: A Longitudinal Study Lalu Ramzy Rahmanda; Agung Tri Utomo; Nur Ikhwana; Annisa Syalsabila
ARRUS Journal of Mathematics and Applied Science Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4851

Abstract

Tuberculosis in Indonesia had the second highest TB burden globally, after India. 92% of the estimated cases were confirmed to be pulmonary tuberculosis. However, controlling pulmonary tuberculosis relies heavily on accurate diagnosis, appropriate treatment, effective monitoring, and evaluation. This study aims to model and investigate the most significant factor affecting monocyte and suPAR levels as a biomarker based on observation time, body mass index, and erythrocyte sedimentation rate. This study was a longitudinal study. 60 patients were involved every two weeks over 13 periods. Path analysis with the generalized linear mixed model (GLMM) approach and comparing three estimation methods to investigate the longitudinal relationship between variables and compare the best structure for modeling the relationship. The best model for describing the relationship between observation time, body mass index, and erythrocyte sedimentation rate on monocyte and suPAR levels is GLMM with unstructured covariance (R2 = 0.977 and AIC = 0.052). A significant positive correlation between monocyte and suPAR levels further validates suPAR as a robust biomarker for monitoring treatment response. The study concludes that effective clinical management of pulmonary tuberculosis requires an integrated strategy that combines OAT with regular monitoring of BMI, ESR, and monocyte levels to optimize patient recovery.
Kaplan–Meier Survival Analysis of Breast Cancer Patients by Estrogen Receptor Status Ayu Rahayu
ARRUS Journal of Mathematics and Applied Science Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4862

Abstract

Breast cancer is one of the leading causes of death among women worldwide, making survival analysis essential in evaluating patient survival probabilities. This study aims to estimate the survival function of breast cancer patients based on Estrogen Receptor Status using the nonparametric Kaplan-Meier estimator. Secondary data from the Breast Cancer Survival dataset on Kaggle (n = 4,024 patients) were analyzed. Variables included survival time (Survival Months), event status (Status), and Estrogen Receptor Status (Positive/Negative). Results showed that patients with Estrogen Receptor-Positive status exhibited a higher survival probability compared to Estrogen Receptor-Negative patients, as indicated by the slower decline of their Kaplan-Meier survival curve. These findings confirm that estrogen receptor status is an important prognostic factor in breast cancer and that the Kaplan-Meier estimator provides an effective nonparametric approach to evaluating patient survival
Body Composition Indicators and Cardiovascular Health Score among Young Adults: An Early Cardiovascular Aging Perspective Rayhani Ichsan; Nurul Mufidah Damry; Nurul Mutiah Aminuddin; Aida Ayu Chandrawati; Bhirau Wilaksono; Okto Sofyan
ARRUS Journal of Mathematics and Applied Science Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4868

Abstract

This study examined the association between body composition indicators and cardiovascular health score among young adults from an early cardiovascular aging perspective. A cross-sectional analytic study was conducted using de-identified data from 44 young adults, consisting of 35 females and 9 males. Body composition indicators included body mass index, waist circumference, body fat percentage, skeletal muscle percentage, and visceral fat index. Cardiovascular and metabolic markers included systolic blood pressure, diastolic blood pressure, total cholesterol, and random blood glucose. Cardiovascular health was assessed using a modified Life’s Essential 8-based cardiovascular health score. Spearman correlation and age- and sex-adjusted linear regression analyses were performed. Higher adiposity indicators were significantly associated with lower cardiovascular health score, including body mass index, waist circumference, body fat percentage, and visceral fat index. Visceral fat index showed the strongest inverse association with cardiovascular health score. In contrast, skeletal muscle percentage was positively associated with cardiovascular health score. Adiposity indicators were also associated with less favorable blood pressure profiles, particularly systolic blood pressure. These findings suggest that body composition indicators, especially visceral fat index and skeletal muscle percentage, may provide practical insight into early cardiovascular health variation among young adults.
Exploration of the Role of Mathematical Connections in Developing Creative Thinking Ability: A Study on Problem-Based Learning Nurfaida Tasni; Andi Syukriani; Hamzah Upu
ARRUS Journal of Mathematics and Applied Science Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4888

Abstract

This study aims to explore the role of mathematical connections in developing students' creative thinking abilities through problem-based learning. The research used an exploratory qualitative approach with a case study design involving 6 purposively selected Grade XI high school students. Research instruments included a mathematical connection ability test, a mathematical creative thinking test, observation sheets, semi-structured interview guidelines, and documentation of student work. Data analysis was conducted through data reduction, data display, and conclusion drawing with triangulation techniques. The results indicate that mathematical connections play a significant role in developing creative thinking through three mechanisms: (1) connections between mathematical topics facilitate flexibility and originality; (2) connections with real-life contexts enhance fluency and elaboration; and (3) problem-based learning creates a conducive cognitive space for building connections exploratively. Students with high mathematical connections produced solutions with creativity scores 2.3 times higher. The study recommends that educators design mathematical tasks that integrate various representations, implement scaffolding to explore relationships between concepts, and create a learning environment that encourages diverse solution strategies.
Forecasting Monthly Red Chili Prices in South Sulawesi Using Prophet Model with Time Series Cross-Validation Nur Ikhwana; Agung Triutomo; Annisa Syalsabila; Lalu Ramzy Rahmanda
ARRUS Journal of Mathematics and Applied Science Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4893

Abstract

This study examines monthly red chili price movements in South Sulawesi using the Prophet forecasting model. Daily price data from the National Strategic Food Price Information Center (PIHPS) covering January 2020 to May 2026 were aggregated into 77 monthly observations. Missing values were handled using linear interpolation and Last Observation Carried Forward (LOCF) before modeling. The Prophet model using for forecasting and time series cross-validation was used as a validation method. The model performance was evaluated by Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE). The results indicate that the model produced an average RMSE = 11,024.68 IDR/kg, MAE = 9,139.04 IDR/kg and MAPE = 23.92%, suggests an acceptable forecasting performance for a highly volatile agricultural commodity. Results pattern demonstrate an annual seasonality on red chili prices, usually lowest price occurs in September and highest one in March of next year. The 12 months projections also foresee a maximum price of 72,597 IDR/kg in March 2027. These results show that the Prophet model can capture trend and seasonality, especially in predicting red chili prices of South Sulawesi.

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