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p-Index From 2021 - 2026
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All Journal Journal Nursing Care Jurusan Keperawatan Politeknik Kesehatan Gorontalo Journal of Mathematics, Computation and Statistics (JMATHCOS) SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Aswi Aswi
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Education Health Professions Mathematics Medicine & Pharmacology

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EFFECTIVENESS OF SMARTPHONE-BASED SPIRITUAL NURSING CARE ON ANXIETY IN CHILDREN Arbianingsih Arbianingsih; Huriati Huriati; Eka Hadrayani; Aswi Aswi
Journal Nursing Care Jurusan Keperawatan Politeknik Kesehatan Gorontalo Vol 12, No 1 (2026): JOURNAL NURSING CARE
Publisher : Poltekkes Kemenkes Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52365/jnc.v12i1.1670

Abstract

Background: Hospitalization is a significant stressor in children and is frequently associated with heightened anxiety. Although spiritual care interventions have shown psychological benefits, evidence regarding digital spiritual nursing intervention in pediatric settings remains limited.Purpose: To evaluate the effectiveness of smartphone-based spiritual nursing care in reducing anxiety among hospitalized children.Methods: A quasi-experimental nonrandomized controlled pretest-posttest study was conducted in the pediatric inpatient ward of an Islamic hospital in Indonesia. Sixty children agedunder 18 years were recruited and allocated to the smartphone-based application Spiritual Islamic Nursing Care (SINC) group (n=30) or the control group receiving hospital-based murottal therapy (n=30). This study uses consecutive sampling. The intervention was delivered once daily for three consecutive days. Anxiety was measured at baseline and post-intervention using a validated observation sheet. Within-group changes were analyzed using the Wilcoxon signed-rank test, and between-group differences were assessed using the Mann-Whitney U test. Effect sizes were calculated using r statistics.Results: Both groups demonstrated significant reductions in anxiety scores following intervention (p<0,001). The reduction in anxiety was significantly greater in the SINC group compared with control group (p=0,001; r=0,44), indicating a moderate effect size.Conclusion: Smartphone-based spiritual nursing care demonstrated greater effectiveness than standard spiritual therapy in hospitals in reducing anxiety among hospitalized children. Digital spiritual interventions may offer a scalable and culturally responsive approach to integrating spiritual care into pediatric nursing practice.
Geographically Weighted Negative Binomial Regression For Modeling Overdispersion And Spatial Heterogeneity In Malnutrition Among Children Under Five In East Java Wanda Yudi; Nurul Aulya Bakri; Siti Choirotun Aisyah Putri; Aswi Aswi
SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 15 No. 1 (2026): Volume 15 Nomor 1 (Maret 2026)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/ny32ty40

Abstract

Malnutrition among toddlers remains a major public health challenge in East Java Province and is shaped by diverse socio-economic and health factors that vary across regions. These disparities create spatial patterns that cannot be fully captured by global regression models. This study aims to analyse the spatial distribution of toddler malnutrition using Geographically Weighted Negative Binomial Regression (GWNBR), which accommodates local variations in the relationships between predictors and the outcome. The study uses secondary data from the East Java Provincial Health Office and the Central Statistics Agency for 2023, covering 38 districts/cities. Exploratory results indicate overdispersion, supporting the use of the Negative Binomial model, while the Breusch–Pagan test confirms spatial heterogeneity. The GWNBR findings show that the number of infants with low birth weight, exclusive breastfeeding, the availability of community health centres, deliveries in health facilities, complete basic immunisation, and the proportion of poor households significantly affect the number of malnourished toddlers, with varying directions and magnitudes across districts/cities. Spatial mapping identifies three significance groups, indicating differences in dominant contributing factors between regions. Overall, the study concludes that GWNBR provides more accurate and spatially adaptive results and can serve as a basis for more targeted malnutrition-control policies.
Mapping the Relative Risk of Tuberculosis in Indonesia Using the Bayesian Spatial Conditional Autoregressive Leroux Model Aswi Aswi; Nurhikmawati Nurhikmawati; Meyrna Vidya Shanty; Nur Taj Alya’ Herman; Sukarna Sukarna
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.6814

Abstract

Tuberculosis (TB) is an infectious disease caused by infection with the Mycobacterium Tuberculosis bacteria. Indonesia ranks second globally in terms of the number of TB cases, after India, followed by China. Modeling is needed to evaluate the relative risk (RR) of TB cases in Indonesia to identify areas that have a high RR of being infected with the bacteria. One approach used to estimate the RR of TB in Indonesia is Bayesian Conditional Autoregressive (CAR). This research aims to identify the RR rate of TB cases in Indonesia using the Bayesian spatial CAR Leroux approach based on TB case data from 2021 to 2022. The best model selection is based on Deviance Information Criteria values, the Watanabe Akaike Information, and residuals from Modified Moran's I. Analysis results shows that in 2021, the Bayesian spatial CAR Leroux Model with Inverse Gamma prior (0.5; 0.5) is the best model. DKI Jakarta Province has the highest while Bali Province has the lowest RR. In 2022, the Bayesian spatial CAR Leroux Model with Inverse Gamma prior (1;0.01) is the best model, with DKI Jakarta Province still having the highest RR, while Bali still has the lowest RR.
Co-Authors Arbianingsih Eka Hadrayani Huriati, Huriati Meyrna Vidya Shanty Nur Taj Alya’ Herman Nurhikmawati Nurhikmawati Nurul Aulya Bakri Siti Choirotun Aisyah Putri Sukarna Sukarna Wanda Yudi