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All Journal International Journal of Healthcare and Information Technology Jurnal Medika: Medika
Rusdiarti Rusdiarti
Politeknik Negeri Jember
Computer Science & IT Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Model Intervensi Tiga Pilar Sebagai Upaya Menurunkan Prevalensi Stunting di Tanggul Kulon Aji Seto Arifianto; Aqshal Nur Ikhsan; Syahmi Naufal Saputra; Nandita Putri Hanifa Jannah; Muhammad Rayasya Dziqi Cahyana; Rusdiarti Rusdiarti; Stephani Nesya Renamastika; Hendra Yufit Riskiawan; Syamsul Arifin; Ely Mulyadi
Jurnal Medika: Medika Vol. 5 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/n6txa130

Abstract

Stunting in Tanggul Kulon Village, Jember, is a critical issue that negatively affects children’s health and cognitive development. Survey and interview results indicate that 2.71% of toddlers are identified as stunted. This condition is influenced by several factors, including limited knowledge about the importance of exclusive breastfeeding as a preventive measure, the lack of easy-to-use, automatic, and accurate anthropometric monitoring tools, and the need for alternative complementary foods that can address nutritional deficiencies in toddlers. This community service program implements a holistic three-pillar intervention. The methods used include: (1) Educational Intervention, through counseling on the importance of exclusive breastfeeding; (2) Technological Intervention, through the development and implementation of an Internet of Things-based anthropometric measurement device integrated with a mobile application for real-time monitoring; and (3) Nutritional Intervention, through hands-on training in producing healthy and nutritious cookies, which have undergone laboratory proximate analysis as supplementary food for toddlers.The results show that the implementation of the IoT system and the cookie-making training was successful, accompanied by capacity building for 18 Posyandu cadres and nutrition education for 90 families. These efforts provided direct benefits to around 200 toddlers and their parents, who now have access to more accurate growth monitoring. The interventions contributed to a reduction in stunting cases during the program, achieving a decrease of 29.63%. In conclusion, the integrated synergy between nutrition education, technological innovation, and food-based interventions has produced a comprehensive, measurable, and sustainable stunting-reduction model that can serve as a replicable reference for addressing similar issues in other communities
Geospatial Analysis of Stunting: A QGIS-based Case Study in Jember Regency Efri Tri Ardianto; Alinea Dwi Elisanti; Rusdiarti Rusdiarti; Tegar Wahyu Yudha Pratama; Muhammad Abdul Rauf
International Journal of Healthcare and Information Technology Vol. 3 No. 2 (2026): January
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v3i2.6684

Abstract

Malnutrition, particularly stunting, remains a significant public health concern in Indonesia. In Jember Regency, the prevalence of stunting in 2024 reached 11.4%, which is notably higher than the East Java provincial average of 5.1%. Despite various intervention efforts, the reduction in stunting cases has not been significant, largely due to the lack of evidence-based approaches. This study aimed to analyze the spatial distribution of stunting cases using a geospatial approach. Data were obtained from the electronic Community-Based Nutrition Recording and Reporting System (e-PPGBM) of the Jember District Health Office for the years 2024–2025. The unit of analysis was 31 sub-districts in Jember Regency. Spatial analysis was conducted using Quantum GIS (QGIS) version 3.40.2. In 2024, 58% sub-districts were categorized as very high prevalence, 19.4% sub-districts as high, 19.4% sub-districts as moderate, and 3.2% sub-districts as low. In 2025, the distribution shifted, with 32.3% sub-districts categorized as very high, 25.8% sub-districts as high, 25.8% sub-districts as moderate, and 16.1% sub-districts as low. Trend analysis revealed that 12.9% sub-districts experienced an increase in stunting cases, 41.9% sub-districts remained unchanged, and 45.2% sub-districts showed a decline. Regarding the spatial relationship between regional distance and stunting incidence, urban and coastal areas tend to have fewer cases than highlands areas. Research findings indicate that this is due to limited access to animal protein sources, particularly seafood. Most residents rely on their own livestock products, such as eggs, chicken, and others. Prioritizing interventions in areas with high and very high prevalence rates while strengthening programs to sustain regions with low stunting cases, supported by enhanced geospatial analysis in nutritional surveillance to enable more effective stunting reduction strategies.
Co-Authors Aji Seto Arifianto Alinea Dwi Elisanti Aqshal Nur Ikhsan Efri Tri Ardianto Ely Mulyadi Hendra Yufit Riskiawan Muhammad Abdul Rauf Muhammad Rayasya Dziqi Cahyana Nandita Putri Hanifa Jannah Stephani Nesya Renamastika Syahmi Naufal Saputra Syamsul Arifin Tegar Wahyu Yudha Pratama