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Unisda Journal of Mathematics and Computer Science (UJMC)
Published by Universitas Islam Darul Ulum
ISSN : 24603333     EISSN : 2579907X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education Mathematics
Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, statistics
Arjuna Subject : -
Articles 163 Documents
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Analisis Pola Hubungan Jenis dan Komponen Limbah Rumah Sakit Berdasarkan Tahun Pengamatan Menggunakan Model Log-Linear Tiga Dimensi Maria Helena K. Goma; Maria A. Kleden; Robertus D. Guntur
UJMC (Unisda Journal of Mathematics and Computer Science) Vol. 12 No. 1 (2026): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v12i1.13640

Abstract

Hospital waste has the potential to adversely affect human health and the environment if not properly managed. This study aims to analyze the relationship between waste type, waste components, and year of observation, and to determine the best three-dimensional log-linear model for waste data from Dr. Hendrikus Fernandes Larantuka Regional General Hospital for the period 2023–2025. The data used were secondary data from the Environmental Health Administration Department of Dr. Hendrikus Fernandes Larantuka Regional General Hospital. The variables analyzed included the year of observation, waste type, and waste components. The analysis was conducted using a three-dimensional log-linear model through a goodness-of-fit test, a partial association test, selection of the best model using the backward elimination method, and relative risk analysis. The results showed that the model fit the data based on the goodness-of-fit test, with a Pearson Chi-Square value of 2.170 and a significance level of 0.950 (>0.05). The partial association test indicated no significant association between waste type and waste components after controlling for year (p = 0.862). The best model obtained was the main effects model of waste components, with a Likelihood Ratio Chi-Square value of 2.943 and a significance level of 0.983 (>0.05). The relative risk analysis yielded an RR value of 2.32, indicating that the likelihood of solid waste components being present in non-infectious waste is 2.32 times greater than in infectious waste.
Perbandingan Model Generalized Poisson Regression dan Regresi Binomial Negatif pada Jumlah Kasus Pneumonia Balita di Provinsi Jawa Timur Preti Elvina Septilita; Nunung Nurhayati; Ari Wardayani
UJMC (Unisda Journal of Mathematics and Computer Science) Vol. 12 No. 1 (2026): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v12i1.13648

Abstract

Pneumonia in children under five is one of the leading causes of death among children worldwide. In Indonesia, East Java Province ranks seventh in terms of the number of cases of pneumonia in children under five. In 2024, there were 99,048 cases of pneumonia in children under five in the province. The number of cases of pneumonia in children under five is discrete data that often experiences overdispersion, making Poisson regression unsuitable for use. This study aims to compare the Generalized Poisson Regression (GPR) model and negative binomial regression and identify factors that influence cases of pneumonia in children under five in East Java Province. This study uses secondary data on the number of cases of pneumonia in children under five at the district/city level in East Java Province in 2024. Based on the results of the study, it was found that the negative binomial regression model was the best model with an Akaike Information Criterion (AIC) value of 652.37. The factors that had a positive effect were the percentage of infants receiving vitamin A, while the factors that had a negative effect were the percentage of low birth weight infants.
Analisis Determinan Statistik Kepatuhan Konsumsi Suplemen Besi: Tinjauan Berdasarkan Faktor Sosiodemografi Remaja Putri Dian Mustofani; Hariyani Hariyani; Krisnita Krisnita; Hendy Hendy
UJMC (Unisda Journal of Mathematics and Computer Science) Vol. 12 No. 1 (2026): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v12i1.13707

Abstract

Female adolescents' compliance in consuming Iron-Folic Acid (IFA) tablets is a crucial pillar of school-based anemia prevention programs. This clinical decision is often assumed to be associated with inherent personal characteristics or social conditioning within their learning environment. To statistically analyze the contribution of school sociodemographic factors (actual age and classroom assignment) as behavioral determinants of iron supplementation compliance among female adolescents. A quantitative study using a cross-sectional design was conducted on 167 female students in grade X at a secondary educational institution. Compliance behavior was measured using a structured Guttman-scaled questionnaire (score 0–4). The association hypothesis was evaluated using the Bivariate Pearson Chi-Square Test () at a significance level of . Univariate analysis showed that age data variance centered on the 16-year-old group (71.9%) and the classroom sample distribution was homogeneous and proportional (21–25 students/class). Bivariate analysis revealed that the Chi-Square coefficient for the actual age variable was  with a p-value of 0.080 (). Meanwhile, the coefficient for the classroom assignment variable was  with a p-value of 0.093 (). School sociodemographic characteristics (biological age and classroom clustering) are statistically proven not to act as significant determinants of iron supplementation compliance behavior. Students' compliance is purely driven by internal cognitive factors (individual anemia knowledge, which was highly significant in the primary test, ) rather than external demographic attributes. Interventions are recommended to focus on massive and uniform cognitive education.

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