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All Journal Journal Of Nursing Practice Corona: Jurnal Ilmu Kesehatan Umum, Psikolog, Keperawatan dan Kebidanan
Ratna Roesardhyati
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Health Professions Nursing Public Health

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Pengaruh Aktivitas Fisik terhadap Pola Tidur Penderita Rematik di Posyandu Lansia Sumber Pucung Kabupaten Malang Dhea Ayu Sukmawati; Ratna Roesardhyati
Corona: Jurnal Ilmu Kesehatan Umum, Psikolog, Keperawatan dan Kebidanan Vol. 3 No. 4 (2025): Desember : Corona: Jurnal Ilmu Kesehatan Umum, Psikolog, Keperawatan dan Kebida
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/corona.v3i4.1859

Abstract

Rheumatism in the elderly can cause chronic pain that affects the quality of sleep. One of the factors influencing the sleep pattern of elderly patients with rheumatism is the level of physical activity. Insufficient physical activity can worsen joint stiffness and increase sleep disturbances. This study aims to examine the effect of physical activity on sleep patterns in elderly rheumatism patients at the Sumber Pucung Elderly Posyandu, Malang Regency. This study is a quantitative study with an analytical correlational design using a cross-sectional approach. The population of this study consisted of all elderly rheumatism patients at the Sumber Pucung Elderly Posyandu, totaling 33 people. The sampling technique used was total sampling. The study was conducted from July 20 to 27, 2025. Data collection instruments used the Global Physical Activity Questionnaire (GPAQ) and the Pittsburgh Sleep Quality Index (PSQI) questionnaires. The results showed that most respondents (90.9%) had low physical activity and all respondents (100%) had poor sleep patterns. The simple linear regression test yielded a significance value of p = 0.479 (p > 0.05) and R Square = 0.016, indicating no significant effect of physical activity on sleep patterns. Based on these results, it is expected that elderly rheumatism patients can increase physical activity according to their abilities to help maintain sleep quality, and Posyandu officers can provide education and elderly exercise programs appropriate for rheumatism conditions.
Smart Health Village in Improving Disaster Preparedness Ardhiles Wahyu Kurniawan; Ratna Roesardhyati; Apriyani Puji Hastuti; Risky Siwi Pradini; Ambarika, Rahmania
Journal Of Nursing Practice Vol. 7 No. 2 (2024): April
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v7i2.491

Abstract

Background: Disaster-prone areas are areas that have the potential for natural disasters such as earthquakes, mountain eruptions, landslides caused by activity or movement from the base of the earth. Understanding the potential for natural disasters in each region as one of the anticipatory steps to minimize the number of victims of natural disasters. Precise and accurate information is needed for disaster management. The slope of the area is quite steep, and road access to villages and tourist attractions is vulnerable to landslides. The current disaster incident information reporting system still applies the conventional model. The community also experiences difficulties in receiving information and submitting reports regarding village conditions. Purpose: This research aims to analyze the effectiveness of smart health villages in improving disaster preparedness. Method: The research design used a pre-experiment with a pre-test and post-test design approach with a sample size of 64 volunteers who were taken using purposive sampling. The independent variable in this study is Smart Health Village and the dependent variable is the voluntary task force's ability to preparedness disaster. The research instrument used a questionnaire for each variable. Data analysis in this study is the Wilcoxon Signed Rank Test. The implementation of this activity consists of the design stage, application creation, system design, socialization and training, and trial. Results: The research results showed that the voluntary task force's preparedness was in a good category as much as 88% and as enough as 12% with p value = 0.000. This application system smart health village based on the web allows both the community (users), admin (task force), and verifiers (village officials) to access anywhere and at any time, thus increasing the capability and quality of human resources in disaster preparedness and disaster-prone areas. Conclusion: Based on the results it can be concluded that smart health village can improve ability in preparedness of disaster in disaster- prone areas thus reducing impact of anxiety and and panic due to disaster.
Co-Authors Apriyani Puji Hastuti Dhea Ayu Sukmawati Kurniawan, Ardhiles Wahyu Rahmania Ambarika Risky Siwi Pradini