Entrepreneur Approach: Implementation of Telemedicine System for Early Detection of Stunting in Wonoayu Village, Sidoarjo

Anita Miftahul Maghfiroh; Endro Yulianto; Syaifudin

doi:10.35882/ficse.v4i1.79

Authors

Anita Miftahul Maghfiroh Departmentof ElectromedicalEnginering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0002-2570-7374
Endro Yulianto Departmentof ElectromedicalEnginering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia https://orcid.org/0000-0002-8094-5359
Syaifudin Departmentof ElectromedicalEnginering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia

DOI:

https://doi.org/10.35882/ficse.v4i1.79

Keywords:

stunting, telemedicine, Pelita application, Posyandu, early detection

Abstract

Stunting is a serious health problem in Indonesia, especially in rural areas with limited access to health services. Wonoayu Village, Sidoarjo, is one of the areas that still faces challenges in early detection of stunting in children under five. To overcome this problem, the Partner Village Development Program (PPDM) was implemented with the aim of utilizing telemedicine technology through the Pelita application. This application is designed to help Posyandu cadres detect the risk of stunting quickly and accurately, as well as provide more effective health monitoring services. The main contributions of this program include developing the Pelita application, outreach to the community and health workers, providing tablet assistance to support application operations, as well as implementing the application in Posyandu activities. The results of this program show an increase in the capacity of Posyandu cadres in monitoring children's health, easy access to accurate health data, and faster and more efficient early detection of stunting. In conclusion, the implementation of the telemedicine system through the Pelita application has had a positive impact in overcoming the stunting problem in Wonoayu Village. This application facilitates structured monitoring of children's health, enabling early intervention for children at risk of stunting. The implication of this program is the need for continuous maintenance and development so that the application can continue to be used optimally and become a model for other regions in efforts to reduce stunting rates in Indonesia.

References

L. K. Wardani, V. Aulia, M. Hadhikul, and M. Kardila, “Risks of Stunting and Interventions to prevent Stunting,” J. Community Engagem. Heal., vol. 6, no. 2, pp. 79–83, 2023, doi: 10.30994/jceh.v6i2.528.

R. R. Akbar, W. Kartika, and M. Khairunnisa, “The Effect of Stunting on Child Growth and Development,” Sci. J., vol. 2, no. 4, pp. 153–160, 2023, doi: 10.56260/sciena.v2i4.118.

World Health Organization, “Childhood Stunting: Challenges and opportunities. Report of a Promoting Healthy Growth and Preventing Childhood Stunting colloquium.,” WHO Geneva, p. 34, 2014.

A. Kavak and A. B. Inner, “ALTHIS: Design of An End to End Integrated Remote Patient Monitoring System and a Case Study for Diabetic Patients,” 2018 Med. Technol. Natl. Congr. TIPTEKNO 2018, pp. 0–3, 2018, doi: 10.1109/TIPTEKNO.2018.8596906.

P. Zhang, Y. Kogure, H. Matsuoka, M. Akutagawa, Y. Kinouchi, and Q. Zhang, “A remote patient monitoring system using a java-enabled 3G mobile phone,” Annu. Int. Conf. IEEE Eng. Med. Biol. - Proc., pp. 3713–3716, 2007, doi: 10.1109/IEMBS.2007.4353138.

C. S. Pattichis, E. Kyriacou, S. Voskarides, M. S. Pattichis, R. Istepanian, and C. N. Schizas, “Wireless telemedicine systems: An overview,” IEEE Antennas Propag. Mag., vol. 44, no. 2, pp. 143–153, 2002, doi: 10.1109/MAP.2002.1003651.

A. Achmad, I. Sari, E. Palantei, and A. Dani, “IoT Network of Sensor Array for Intrusion Detection and Diagnosis of Electrical Systems,” vol. 12, no. 2, 2022.

IEEE SA, “IEEE Standards Activities in the Internet of Things ( IoT ) Overview,” no. November, pp. 1–4, 2018, [Online]. Available: https://standards.ieee.org/initiatives/iot/stds.html

N. N. Mahzan et al., “A Design of Smart IoT-Based Using Arduino,” J. Phys. Conf. Ser., vol. 1529, no. 2, pp. 1–9, 2020, doi: 10.1088/1742-6596/1529/2/022045.

L. Nachabe, M. Girod-Genet, B. ElHassan, and J. Jammas, “M-health application for neonatal incubator signals monitoring through a CoAP-based multi-agent system,” 2015 Int. Conf. Adv. Biomed. Eng. ICABME 2015, pp. 170–173, 2015, doi: 10.1109/ICABME.2015.7323279.

S. Sarath and A. R. S. George, “Tele-Health Monitoring System,” no. March, pp. 101–104, 2018.

J. P. Wirth et al., “Assessment of the WHO Stunting Framework using Ethiopia as a case study,” Matern. Child Nutr., vol. 13, no. 2, 2017, doi: 10.1111/mcn.12310.

A. Nur et al., “DEVELOPMENT OF APPLICATION PROGRAMMING INTERFACE ( API ) FOR AMIKOM PURWOKERTO HANDSANITIZER ( AMPUH ) DATA LOGGER PEMBANGUNAN APPLICATION PROGRAMMING INTERFACE ( API ) UNTUK VISUALISASI DATA LOGGER AMIKOM PURWOKERTO HAND SANITIZER,” vol. 3, no. 3, pp. 791–796, 2022.

P. Jones, P. Beynon-Davies, and E. Muir, “Ebusiness barriers to growth within the SME sector,” J. Syst. Inf. Technol., vol. 7, no. 1–2, pp. 1–25, 2003, doi: 10.1108/13287260380000771.

K. Kanáliková, “Diagnosis of congenital heart defects in childhood,” Bratisl. Lek. Listy, vol. 91, no. 12, pp. 868–873, 1990.

P. Langley and S. Sage, “Induction of Selective Bayesian Classifiers,” Proc. Tenth Int. Conf. Uncertain. Artif. Intell., no. 1990, pp. 399–406, 1994, doi: 10.1016/B978-1-55860-332-5.50055-9.