An Internet of Things-based Baby Scales for Supporting Stunting Case Monitoring
Keywords:
Stunting, Baby scales, IoT, Stunting monitoring
Abstract
Stunting is an important problem, that potentially give negative impact to child development, quality of life and future of these stunted children. The government has tried to do prevention by monitoring and recording the toddlers growth. The problems are the process of recording and entering toddler growth data is still done manually. This is not effective if monitoring in large area. Modification of digital baby scales is carried out so that the result of reading baby scales recorded directly in the central data base. Modifications are made by adding IoT technology to baby scales. Based on the research conducted, it can be seen that the use of IoT-based baby scales can simplify the process of measuring toddlers' weight and height. A feature that displays a child's nutritional status makes the process of determining nutritional status faster. The results of unit testing show that the tool is running well with the level of accuracy are 0,3% still within tolerance limits. The next research is expected to add location features, resumes per area and improve access levels on web pages.
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References
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[2] C. M. Wright, J. MacPherson, R. Bland, P. Ashorn, S. Zaman, and F. K. Ho, “Wasting and Stunting in Infants and Young Children as Risk Factors for Subsequent Stunting or Mortality: Longitudinal Analysis of Data from Malawi, South Africa, and Pakistan,” J Nutr, vol. 151, no. 7, pp. 2022–2028, Jul. 2021, doi: 10.1093/JN/NXAB054.
[3] H. S. Mediani, “Predictors of Stunting Among Children Under Five Year of Age in Indonesia: A Scoping Review,” Glob J Health Sci, vol. 12, no. 8, p. 83, Jun. 2020, doi: 10.5539/gjhs.v12n8p83.
[4] T. Beal, A. Tumilowicz, A. Sutrisna, D. Izwardy, and L. M. Neufeld, “A review of child stunting determinants in Indonesia,” Maternal and Child Nutrition, vol. 14, no. 4. Blackwell Publishing Ltd, Oct. 01, 2018. doi: 10.1111/mcn.12617.
[5] Marni, A. Z. Abdullah, R. M. Thaha, H. Hidayanty, S. Sirajuddin, and M. Syafar, “Risk factor and interventions of behavioral changing strategy in acceleration of stunting prevention: A systematic review,” Enferm Clin, vol. 31, pp. S636–S639, Dec. 2021, doi: 10.1016/J.ENFCLI.2021.07.008.
[6] Z. A. Bhutta et al., “How countries can reduce child stunting at scale: Lessons from exemplar countries,” American Journal of Clinical Nutrition, vol. 112, pp. 894S-904S, Jul. 2020, doi: 10.1093/ajcn/nqaa153.
[7] A. Prasetyo et al., “Stunting Convergence Management Framework through System Integration Based on Regional Service Governance,” Sustainability (Switzerland), vol. 15, no. 3, Feb. 2023, doi: 10.3390/su15031821.
[8] S. Palutturi, A. Syam, A. Asnawi, and Hamzah, “Stunting in a political context: A systematic review,” Enferm Clin, vol. 30, pp. 95–98, Jun. 2020, doi: 10.1016/J.ENFCLI.2019.10.049.
[9] D. K. Sunjaya, D. M. D. Herawati, N. Indraswari, G. Megawati, and B. Sumintono, “Training and Assessing Model for the Ability of Community Health Volunteers in Anthropometric Measurement Using the Rasch Stacking and Racking Analyses,” J Environ Public Health, vol. 2021, 2021, doi: 10.1155/2021/5515712.
[10] M. A. Ezzat, E. M. Albassam, E. A. Aldajani, R. A. Alaskar, and E. B. Devol, “Implementation of new indicators of pediatric malnutrition and comparison to previous indicators,” Int J Pediatr Adolesc Med, vol. 9, no. 4, pp. 216–224, Dec. 2022, doi: 10.1016/J.IJPAM.2022.12.003.
[11] A. L. Vegelin, L. J. C. E. Brukx, J. J. Waelkens, and J. Van Den Broeck, “Influence of knowledge, training and experience of observers on the reliability of anthropometric measurements in children,” Ann Hum Biol, vol. 30, no. 1, pp. 65–79, Jan. 2003, doi: 10.1080/03014460210162019.
[12] K. Lawal and H. N. Rafsanjani, “Trends, benefits, risks, and challenges of IoT implementation in residential and commercial buildings,” Energy and Built Environment, vol. 3, no. 3, pp. 251–266, Jul. 2022, doi: 10.1016/J.ENBENV.2021.01.009.
[13] T. Domínguez-Bolaño, O. Campos, V. Barral, C. J. Escudero, and J. A. García-Naya, “An overview of IoT architectures, technologies, and existing open-source projects,” Internet of Things, vol. 20, p. 100626, Nov. 2022, doi: 10.1016/J.IOT.2022.100626.
[14] E. A. Alizadeh et al., “Thirty years of telemetry-based data acquisition for cardiovascular drug safety evaluation: Applications and optimization,” J Pharmacol Toxicol Methods, vol. 122, p. 107279, Jul. 2023, doi: 10.1016/J.VASCN.2023.107279.
[15] Q. Wang, X. Zhu, Y. Ni, L. Gu, and H. Zhu, “Blockchain for the IoT and industrial IoT: A review,” Internet of Things, vol. 10, p. 100081, Jun. 2020, doi: 10.1016/J.IOT.2019.100081.
[16] V. V Prabhakar, C. S. Belarmin Xavier, and K. M. Abubeker, “A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry,” Mater Today Proc, Apr. 2023, doi: 10.1016/J.MATPR.2023.03.535.
[17] F. Montori et al., “An IoT Toolchain Architecture for Planning, Running and Managing a Complete Condition Monitoring Scenario,” IEEE Access, vol. 11, pp. 6837–6856, 2023, doi: 10.1109/ACCESS.2023.3237971.
[18] T. Ghosh, A. Roy, and S. Misra, “B2H: Enabling delay-tolerant blockchain network in healthcare for Society 5.0,” Computer Networks, vol. 210, p. 108860, Jun. 2022, doi: 10.1016/J.COMNET.2022.108860.
[19] J. A. Stankovic, “Research directions for the internet of things,” IEEE Internet Things J, vol. 1, no. 1, pp. 3–9, Feb. 2014, doi: 10.1109/JIOT.2014.2312291.
[20] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Communications Surveys and Tutorials, vol. 17, no. 4, pp. 2347–2376, Oct. 2015, doi: 10.1109/COMST.2015.2444095.
[21] M. Haghi Kashani, M. Madanipour, M. Nikravan, P. Asghari, and E. Mahdipour, “A systematic review of IoT in healthcare: Applications, techniques, and trends,” Journal of Network and Computer Applications, vol. 192, p. 103164, Oct. 2021, doi: 10.1016/J.JNCA.2021.103164.
[22] A. N. Navaz, M. A. Serhani, H. T. El Kassabi, N. Al-Qirim, and H. Ismail, “Trends, Technologies, and Key Challenges in Smart and Connected Healthcare,” IEEE Access, vol. 9, pp. 74044–74067, 2021, doi: 10.1109/ACCESS.2021.3079217.
[23] S. M. R. Islam, D. Kwak, M. H. Kabir, M. Hossain, and K. S. Kwak, “The internet of things for health care: A comprehensive survey,” IEEE Access, vol. 3, pp. 678–708, Jun. 2015, doi: 10.1109/ACCESS.2015.2437951.
[24] M. N. Bhuiyan, M. M. Rahman, M. M. Billah, and D. Saha, “Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities,” IEEE Internet of Things Journal, vol. 8, no. 13. Institute of Electrical and Electronics Engineers Inc., pp. 10474–10498, Jul. 01, 2021. doi: 10.1109/JIOT.2021.3062630.
[25] G. Ioppolo, F. Vazquez, M. G. Hennerici, and E. Andrès, “Medicine 4.0: New technologies as tools for a society 5.0,” Journal of Clinical Medicine, vol. 9, no. 7. MDPI, pp. 1–4, Jul. 01, 2020. doi: 10.3390/jcm9072198.
[26] M. Hassanalieragh et al., “Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges,” in Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015, Institute of Electrical and Electronics Engineers Inc., Aug. 2015, pp. 285–292. doi: 10.1109/SCC.2015.47.
[27] M. Javaid and I. H. Khan, “Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic,” J Oral Biol Craniofac Res, vol. 11, no. 2, pp. 209–214, Apr. 2021, doi: 10.1016/J.JOBCR.2021.01.015.
[28] R. Zgheib, G. Chahbandarian, F. Kamalov, H. El Messiry, and A. Al-Gindy, “Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19,” Neurocomputing, vol. 528, pp. 160–177, Apr. 2023, doi: 10.1016/J.NEUCOM.2023.01.007.
[29] S. M. Ali et al., “Drivers for Internet of Things (IoT) adoption in supply chains: Implications for sustainability in the post-pandemic era,” Comput Ind Eng, vol. 183, p. 109515, Sep. 2023, doi: 10.1016/J.CIE.2023.109515.
[30] S. S. Vedaei et al., “COVID-SAFE: An IoT-based system for automated health monitoring and surveillance in post-pandemic life,” IEEE Access, vol. 8, pp. 188538–188551, 2020, doi: 10.1109/ACCESS.2020.3030194.
[31] A. Kumar, R. Krishnamurthi, A. Nayyar, K. Sharma, V. Grover, and E. Hossain, “A Novel Smart Healthcare Design, Simulation, and Implementation Using Healthcare 4.0 Processes,” IEEE Access, vol. 8, pp. 118433–118471, 2020, doi: 10.1109/ACCESS.2020.3004790.
[32] N. Taimoor and S. Rehman, “Reliable and Resilient AI and IoT-Based Personalised Healthcare Services: A Survey,” IEEE Access, vol. 10, pp. 535–563, 2022, doi: 10.1109/ACCESS.2021.3137364.
[33] M. N. Bhuiyan et al., “Design and Implementation of a Feasible Model for the IoT Based Ubiquitous Healthcare Monitoring System for Rural and Urban Areas,” IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3202551.
[34] M. Zheng and S. Bai, “Implementation of Universal Health Management and Monitoring System in Resource-Constrained Environment Based on Internet of Things,” IEEE Access, vol. 9, pp. 138744–138752, 2021, doi: 10.1109/ACCESS.2021.3101909.
Published
2023-11-18
How to Cite
[1]
M. sofie, “An Internet of Things-based Baby Scales for Supporting Stunting Case Monitoring”, Indones.J.electronic.electromed.med.inf, vol. 5, no. 4, Nov. 2023.
Section
Research Article
Copyright (c) 2023 Mohamad Sofie, Patrisius Kusi Olla, and Pramesti Kusumaningtyas, and Fani Maduratni Chambali
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