Empowering the Teaching Factory Nutrition Care Center to Enhance Community Nutrition Services
DOI:
https://doi.org/10.57203/abdiwangi.v2i1.2024.36-43Keywords:
e-Health, Nutrition Care, Machine Learning, AndroidAbstract
Health is one of the sectors that has rapidly advanced through the application of information and communication technology (ICT) under the concept of e-Health. Nutrition services at the Teaching Factory Nutrition Care Center (TeFa NCC) are still conducted manually, requiring technological innovations to enhance efficiency and accessibility. This community service aims to digitalize nutrition services to facilitate public access to information and support staff operations more effectively. The method involves a participatory approach with three main steps: application development, socialization, and monitoring and evaluation to improve the quality of nutrition services and user satisfaction. The development of the Android-based E-Stagi application has proven successful in increasing service efficiency, with 34% of users finding the application very easy to operate. Monitoring results also indicate that the application simplifies data management for staff and provides easier access to nutrition information for the public compared to traditional methods. Despite technical challenges and user unfamiliarity, further training and application updates are necessary to optimize its utilization.
References
I. Mutia, W. N. Cholifah, and Y. Yulianingsih, “Pemanfaatan Teknologi Informasi Berbasis Android sebagai Media Penyampaian Informasi Kesehatan di Posyandu,” J. PkM Pengabdi. Kpd. Masy., vol. 3, no. 3, p. 266, 2020, doi: 10.30998/jurnalpkm.v3i3.4158.
World Health Organization, Global strategy on digital health 2020-2025. Geneva: World Health Organization, 2021.
H. Fitriani, “Analisis Implementasi Layanan E-Puskesmas Pada Pusat Kesehatan Masyarakat Di Kecamatan Air Kumbang Kabupaten Banyuasin,” J. Public Adm. Bus. Rural Develoment Plan., vol. 5, no. 2, pp. 46–62, 2023, doi: 10.69741/jpublic.v5i2.155.
L. L. M. H. Hermansyah Y, “Efektivitas Penerapan Aplikasi M-HEALTH Untuk Posyandu Di Puskesmas Kembang Seri Kabupaten Bengkulu Tengah,” J. Inf. Syst. Public Heal., vol. 2, no. 1, pp. 57–67, 2017.
M. Eliza and F. Idayanti, “Implementasi Layanan E-health dalam Meningkatkan Kualitas Pelayanan Kesehatan di Puskesmas Ketabang Surabaya,” J. Ilmu dan Ris. Akunt., vol. 9, no. 12, pp. 1–20, 2020, [Online]. Available: http://dinkes.surabaya.go.id
D. R. P. Mudiono, A. P. Wicaksono, I. Muflihatin, I. Nurmawati, N. Muna, and R. A. Sutantio, “Implementation of Nutritional Status Information System in Improving NCC Services,” Int. J. Heal. Inf. Syst., vol. 2, no. 1, pp. 9–16, 2024, doi: 10.47134/ijhis.v2i1.34.
R. Diana, H. Warni, and T. Sutabri, “Penggunaan Teknologi Machine Learning Untuk Pelayanan Monitoring Kegiatan Belajar Mengajar Pada Smk Bina Sriwijaya Palembang,” JUTEKIN (Jurnal Tek. Inform., vol. 11, no. 1, 2023, doi: 10.51530/jutekin.v11i1.709.
A. Roihan, P. A. Sunarya, and A. S. Rafika, “Pemanfaatan Machine Learning dalam Berbagai Bidang: Review paper,” IJCIT (Indonesian J. Comput. Inf. Technol., vol. 5, no. 1, pp. 75–82, 2020, doi: 10.31294/ijcit.v5i1.7951.
World Health Organization, “Body mass inder-for-age (BMI-for-age),” World Health Organization, 2024. https://www.who.int/toolkits/child-growth-standards/standards/body-mass-index-for-age-bmi-for-age
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Demiawan rachmatta putro mudiono , Indah Muflihatin, Andri Permana Wicaksono, Nanang Dwi Wahyono, Waridad Umais Al Ayyubi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Jurnal ini menyediakan open access yang pada prinsipnya membuat riset tersedia secara gratis untuk publik dan akan mensupport pertukaran pengetahuan global.
