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All Journal NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) ASSYIFA: Jurnal Ilmu Kesehatan
Yusrina Nur Dianati
Universitas Islam Negeri Salatiga
Dentistry Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Veterinary

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ANALISIS PENDAPATAN KELUARGA DAN SANITASI LINGKUNGAN RUMAH TANGGA TERHADAP KEJADIAN STUNTING PADA BALITA DI JAWA TIMUR MENGGUNAKAN REGRESI LOGISTIK Dewi Kurnia Sari; Yusrina Nur Dianati; Ahisa Novianti
ASSYIFA : Jurnal Ilmu Kesehatan Vol. 4 No. 1 (2026)
Publisher : Forind Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62085/ajk.v4i1.213

Abstract

Stunting is a chronic nutritional problem that remains a major public health challenge in Indonesia and has long-term impacts on human resource quality. This study aims to analyze the effect of family income and household environmental sanitation on the incidence of stunting in newborns in East Java. This research employed a quantitative approach with a cross-sectional design. The data consisted of both primary and secondary sources with a total sample of 696 respondents selected using purposive sampling. Data were analyzed using binary logistic regression. The results showed that the model was statistically significant with a classification accuracy of 74.7%. Family income and household sanitation conditions had a significant effect on stunting, while water conditions and sanitation facilities were not significant. Higher family income and better sanitation conditions were associated with a lower risk of stunting in newborns. Therefore, stunting prevention efforts should focus on improving household economic conditions and overall environmental sanitation.
Model Regresi Moderasi pada Hubungan Kecemasan Matematika dan Kompetensi Statistika Mahasiswa Yusrina Nur Dianati; Dewi Kurnia Sari; Dewi Susanawati
Numerical: Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 1 (2026)
Publisher : Universitas Ma'arif Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25217/numerical.v10i1.7605

Abstract

This research aims to examine the effect of mathematics anxiety on students’ statistical competence, the influence of mathematics self-efficacy on statistical competence, and the moderating role of self-efficacy in the relationship between these two variables. The study employed a quantitative approach with an explanatory research design. The participants consisted of 93 undergraduate students enrolled in a statistics course in a mathematics education program. Data were collected using a Likert-scale questionnaire and analyzed through Moderated Regression Analysis (MRA) with mean-centering and bootstrapping techniques. The findings indicate that mathematics anxiety does not have a significant direct effect on statistical competence, whereas mathematics self-efficacy has a positive and significant effect. Furthermore, self-efficacy significantly moderates the relationship between mathematics anxiety and statistical competence by weakening the negative impact of anxiety. These results suggest that self-efficacy functions as a protective factor in statistics learning. Therefore, strengthening students’ self-efficacy should be a key consideration in designing effective statistics instruction.
Co-Authors Ahisa Novianti Dewi Kurnia Sari Dewi Susanawati