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All Journal Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Indonesian Journal of Thousand Literacies Technema: Journal of Intelligent Engineering and Computing
Meilita Dwi Paundrianagari
Universitas Salakanagara
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Analisis Formulasi Kue Kering Tinggi Protein sebagai Intervensi Gizi untuk Balita Stunting di Kota Tangerang Maharani Kusuma Dewi; Meilita Dwi Paundrianagari; Zakiyah Mujahidah
Indonesian Journal of Thousand Literacies Vol. 2 No. 12 (2024): Indonesian Journal of a Thousand Literacy
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/ijtl.v2i12.74

Abstract

Stunting in toddlers is a chronic nutritional problem that requires comprehensive intervention. This study aims to analyze the formulation of high-protein cookies as a nutritional intervention for stunted toddlers in Tangerang City. This case study uses a descriptive approach by examining the composition of raw materials, the formulation process, physicochemical characteristics, and potential as a nutritional intervention. Data were obtained from document analysis, interviews with nutritionists and producers, and a literature review. The analysis results indicate that the high-protein cookie formulation has the potential to be an effective supplementary food, but requires attention to consumer acceptance and food safety. Key findings include the identification of optimal protein sources, nutrient proportions appropriate to the needs of stunted toddlers, and an evaluation of the potential positive impact on nutritional status. The study concludes that high-protein cookies have the potential to be an innovative solution in efforts to reduce stunting in Tangerang City, with the need for formulation improvements and further testing. Recommendations include sustainable product development, increased nutrition education, and policy support from the local government.
Pemberdayaan Kader Posyandu melalui Sistem Informasi Gizi Komplementer untuk Peningkatan Kualitas MP-ASI Meilita Dwi Paundrianagari; Chindy Amir; Marzuki Pilliang
Ekalaya: Jurnal Pengabdian Kepada Masyarakat Indonesia Vol. 4 No. 3 (2025): Ekalaya Journal
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/eka.v4i3.148

Abstract

Indonesia still faces serious challenges related to nutrition problems in children, with the prevalence of stunting still high. Quality Complementary Feeding of Breast Milk (MP-ASI) plays a crucial role in supporting the optimal growth and development of toddlers. However, many mothers have difficulty in providing MP-ASI that meets nutritional standards, due to a lack of knowledge, limited resources, and limited access to information. Posyandu cadres as the spearhead of public health services have a central role in providing education and assistance to mothers under five. However, they often face limited knowledge and access to adequate information related to nutrition. This research aims to empower Posyandu cadres through the implementation of a complementary nutrition information system. The methods used include intensive training, mentoring, and the development of a web-based information system that is easy to access and use. The results of the study showed a significant increase in the knowledge and skills of cadres about nutrition, as well as an improvement in the quality of MP-ASI provided by mothers under five. Information systems have proven to be effective in facilitating knowledge transfer, facilitating access to information, and improving the efficiency of cadres' work. The conclusion of this study is that the empowerment of Posyandu cadres through a complementary nutrition information system is an effective strategy to improve the quality of MP-ASI and ultimately contribute to reducing stunting and improving the quality of human resources in Indonesia. Recommendations include expanding the implementation of information systems in various regions, improving training and mentoring of cadres, and developing more comprehensive information content.
The Rise of Agentic Artificial Intelligence in Medicine: A Systematic Review of Autonomous Systems, Multi-Agent Collaboration, and Ethical Governance Marzuki Pilliang; Meilita Dwi Paundrianagari; Chindy Amir
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Artificial Intelligence (AI) in medicine has traditionally functioned as a passive decision-support tool that provides recommendations without autonomous action. The emergence of Agentic AI introduces a new paradigm in which AI systems can plan, execute, and self-correct tasks, creating a shift toward more collaborative human–machine interaction. However, existing literature remains fragmented, with technical development, multi-agent coordination, and ethical governance often discussed separately. This systematic review aims to synthesize current evidence on Agentic AI in medicine by examining autonomous architectures, multi-agent collaboration, clinical validation, ethical challenges, and future implementation barriers. The study followed the PRISMA 2020 framework and employed thematic narrative synthesis of 34 primary studies identified from major academic databases. The findings indicate that orchestrator-based multi-agent architectures integrated with large language models and retrieval-augmented generation represent the dominant approach in medical Agentic AI development. However, real-world clinical validation remains limited, with most studies still focusing on simulations and proof-of-concept evaluations. Furthermore, ethical and governance studies represented the largest research category, highlighting concerns regarding accountability, transparency, and human oversight. This review concludes that the future adoption of Agentic AI requires simultaneous advancement of technical capabilities and governance frameworks, supported by evaluation approaches that consider accuracy, computational efficiency, clinical safety, and human control.  
Co-Authors Chindy Amir Maharani Kusuma Dewi Marzuki Pilliang Zakiyah Mujahidah