Budi, Dini Wurnaning
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Analysis of Factors Affecting CD4+ Increase in HIV / AIDS Patients Receiving ARV Therapy Budi, Dini Wurnaning; Rahayu, RR. Sri Ratna; Yuniastuti, Ari
Public Health Perspective Journal Article In Pres August 2021
Publisher : Universitas Negeri Semarang

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Abstract

Acquired immunodeficiency syndrome (AIDS) is a collection of symptoms and infections that arise due to damage to the human immune system due to infection with the Human Immunodeficiency Virus (HIV). The number of HIV patients at Panti Wilasa Hospital continues to increase from every year in 2018 the number is 150 HIV / AIDS patients. The purpose of this study was to analyze the factors that influence the increase in CD4+ levels of HIV / AIDS patients receiving ARV therapy at Panti Wilasa Citarum and Dr. Cipto Hospitals Semarang. This research is a quantitative study, with a cross-sectional approach. The minimum sample of the study was 38 respondents using simple random sampling technique. Data analysis in this study using Multiple Logistic Regression. The results of the study, the most influential variables were clinical stage (p=0.000), and concomitant disease tuberculosis (p = 0.14) on the increase in CD4+ levels. The risk of HIV / AIDS transmission in Indonesia is the highest and until now, there is no cure for HIV. ARV therapy can inhibit the development of the HIV virus, giving ARVs is given if the CD4+ level is less than 500 cells / mm3, or there are other conditions in HIV patients. The importance of early awareness in ARV therapy for early initiation of ARVs is proven to be clinically beneficial, useful for prevention, increase life expectancy and reduce the incidence of HIV-related infections.
Analisis Klaster Dampak Kesehatan Akibat Pandemi Covid-19 Menggunakan Metode K-Means dan C4.5 Anindita, Karina; Wirakusuma, Anak Agung Ngurah Bagus Adhitya; Pamudji, Kristopher May; Budi, Dini Wurnaning; Yudha Putra, I Komang Reka
Nutriology : Jurnal Pangan, Gizi, Kesehatan Vol. 6 No. 2 (2025): Oktober 2025
Publisher : Program Studi Gizi, Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/nutriology.v6i2.5659

Abstract

The COVID-19 pandemic has had a broad impact on the health system and the socio-economic conditions of communities, including in the Province of West Nusa Tenggara. Inequalities in healthcare access, the prevalence of comorbid diseases, and economic disparities have resulted in varying levels of risk across regions. This study aims to analyze clusters of health impacts resulting from the COVID-19 pandemic in West Nusa Tenggara. The research employed the K-Means and C4.5 Decision Tree methods with a CRISP-DM approach. Secondary data were obtained from the West Nusa Tenggara Provincial General Hospital, the West Nusa Tenggara Health Profile, Statistics Indonesia (BPS) 2022–2023, the 2021 Basic Health Research (Riskesdas), and the World Health Organization (WHO). The variables included COVID-19 cases per 100,000 population, vaccination rates, healthcare facility ratios, prevalence of hypertension and diabetes, and poverty rates. The K-Means results identified three risk clusters: high (Mataram, West Lombok), moderate (Central Lombok, East Lombok), and low (Sumbawa, Dompu, Bima). The C4.5 model achieved an accuracy of 80.67%, with age and comorbidities emerging as dominant factors. These findings highlight the potential of data mining analysis as a foundation for post-pandemic mitigation policies and strengthening regional health system resilience.