About the Journal
Arung: Community Health Insight (ARCHI) is an interdisciplinary journal that explores the intersection of public health, traditional practices, and modern nursing within diverse community settings. Inspired by the concept of "Arung," which represents leadership and wisdom in Sulawesi culture, the journal provides a platform for innovative research that integrates indigenous knowledge with contemporary public health and nursing strategies. It emphasizes the importance of blending traditional nursing methods—such as community-based caregiving and indigenous midwifery—with modern clinical practices to develop holistic and culturally sensitive healthcare approaches. Arung: Community Health Insight(ARCHI) is committed to advancing understanding and practice in community health, promoting wellness, and ensuring that healthcare solutions respect and incorporate cultural traditions while meeting modern public health needs.
Current Issue
All articles in this issue (5 original research articles) were authored/co-authored by researchers from 1 (one) country, namely Indonesia, representing 3 (three) provinces: South Sulawesi, East Java, and Central Java. Institutional affiliations are located in Makassar, Surabaya, Magelang, and Semarang.
Articles
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Social, economic, and access to services factors influencing non-prescription antibiotic use in island communities: A Qualitative study
Abstract View : 51 PDF downloads: 2 -
Mothers' experiences in stunting prevention efforts for children under five: A qualitative study
Abstract View : 39 PDF downloads: 4 -
Global evidence on nutritious meal programs: A PRISMA-compliant systematic review of health outcomes and pharmacoeconomic implications
Abstract View : 27 PDF downloads: 2 -
Eco-anxiety and its implications for the mental health of generation z in the face of climate change: A systematic analysis review
Abstract View : 59 PDF downloads: 0 -
The relationship between access to safe drinking water and the village development index and stunting prevalence: A secondary data analysis
Abstract View : 22 PDF downloads: 0






