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All Journal Jurnal Rekayasa Mesin Surya Abdimas Biomedical and Mechanical Engineering Journal Eksergi: Jurnal Teknik Energi Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Medani : Jurnal Pengabdian Masyarakat AMMA : Jurnal Pengabdian Masyarakat
Safriana, Eni
Politeknik Negeri Semarang
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Social Sciences Transportation Other

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Journal : Biomedical and Mechanical Engineering Journal

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Implementation of Decision Support System Techniques in Evaluating IoT-Based Anthropometric Devices for Stunting Prevention in Toddlers Eni Safriana; Farika T Putri; Ragil T Indrawati; Wahyu I Nugroho; Mella K Sari; Anoeng Prasetyo; Arhama Insani; Muryanto
BIOMEJ Vol. 5 No. 1 (2025): BIOMEJ
Publisher : UPN 'Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/biomej.v5i1.146

Abstract

Stunting remains a significant national health issue in Indonesia, prompting the government to focus on its prevention through regular monitoring of child growth. This study aimed to determine the preferred IoT-based anthropometric measuring device for toddlers using Decision Support System (DSS) methods, specifically Analytic Hierarchy Process (AHP), Weighted Product (WP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Two products, Product A and Product B, were evaluated based on criteria including accuracy, ease of use, durability, connectivity, and cost. The AHP method was used to determine the criteria weights, followed by the application of WP and TOPSIS to rank the products. The results indicated that Product A was consistently preferred, demonstrating superior performance in accuracy testing with an average accuracy of 98.76% for height and 99.21% for weight measurements, compared to Product B’s 95.42% and 96.85%, respectively. These findings validate the effectiveness of the DSS methods used, providing a reliable approach for selecting IoT-based healthcare devices. This study offers a practical decision-making framework for Posyandu and other healthcare facilities to ensure accurate and efficient child growth monitoring.
Co-Authors Agus Pramono Agus Pramono Amarta, Rona Zaqqi Anoeng Prasetyo Arhama Insani Arif Pambekti Ayu Janitra, Atikah Ayub Budhi Anggoro, Ayub Budhi Bambang Tjahjono Bayu Setyo Nugroho, Bayu Setyo Carli Carli Dewa Imron Fauzi Eko Saputra Elroy Theody Hadiprasetya Farika T Putri Farika Tono Putri Gunawan Widodo, Ign. Gutomo, Gutomo Hartono Hartono Hatta Maulana Isbar Hendrix Noviyanto Firmansyah, Hendrix Noviyanto Huda, Mohammad Ragil Nur Ignatius Gunawan Widodo Indrawati, Ragil Tri Kadavi, Fadhil Khoryanton, Ampala Kriswanto Kriswanto, Kriswanto Leonardo Dwiky Sadewa Mella K Sari Muryanto Nailul Ulum, Muhammad Showi Padang Yanuar Padang Yanuar Prihatmini, Eri Putri, Farika Tono R., Rizkha Ajeng Ragil T Indrawati Ragil Tri Indrawati Ragil Tri Indrawati Ragil Tri Indrawati Ragil Tri Indrawati Rizkha Ajeng Rochmatika Rofarsyam Rofarsyam, Rofarsyam Roizzy, Fakhrudin Ahmad Sai'in, Ali Setiyawan, Trio Sri Harmanto Supandi Supandi Taufiq Nugroho Tengku Riza Zarzani N Thoif Zara Amrullah Timotius Anggit Kristiawan Wahyu I Nugroho Wahyu Isti Nugroho Widodo, Ignatius Gunawan Zaenal Abidin