Innovative android application for anthropometric assessment of nutritional status in boys aged 0-59 months
Abstract
Background: Smartphone users in Indonesia mostly use smartphones to access mobile applications rather than mobile websites. As many as 82% of smartphone users in Indonesia access mobile applications while the remaining 9% of users each access mobile websites and websites via desktop. The majority of the population of smartphone users who access mobile applications come from productive age, namely 75% from 18-24 year olds and 79% from 25-34 year olds. The survey results prove that the development of information technology in mobile technology has developed rapidly. These technological developments have resulted in changes and developments in all fields, one of which is the health sector.
Objectives: The aim of this research is to design and create Android-based anthropometry of nutritional status aged 0-59 months. which can be downloaded via the cell phone used by Posyandu cadres.
Methods:.
This research developed an innovative Android application to assess the nutritional status of boys aged 0-59 months using the Waterfall development method in the Software Development Life Cycle (SDLC). This approach starts from requirements analysis, system design, coding, testing, to implementation and maintenance, which is carried out in a linear and gradual manner to ensure that each phase of development runs in a structured manner and produces effective and high-quality applications.
Results:
The research results show that this anthropometric application significantly increases the efficiency and effectiveness of Posyandu cadre service time. By reducing the need for manual recording and calculations, this application speeds up the process of assessing the nutritional status of children aged 0-59 months, reduces errors, and allows cadres to focus more on direct interactions with mothers and children, thereby improving the overall quality of services.
Conclusions: Android-based Anthropometric Application for Nutritional Status Age 0-59 Months is a digital tools.
Keywords
References
Astra IM, Nasbey H, Nugraha A. Development of an android application in the form of a simulation lab as learning media for senior high school students. Eurasia Journal of Mathematics, Science and Technology Education. 2015;11(5):1081–8. doi : https://doi.org/10.12973/eurasia.2015.1376a
Nugroho A, Rahmadi A, Sari AJ. Brownies daun kelor dan tempe tinggi protein serta zat besi bagi ibu hamil anemia. Jurnal AcTion : Aceh Nutrition Journal. 2023;8(1):20–9. doi : http://dx.doi.org/10.30867/action.v8i1.755
Birckhead B, Khalil C, Liu X, Conovitz S, Rizzo A, Danovitch I, et al. Recommendations for methodology of virtual reality clinical trials in health care by an international working group: Iterative study. JMIR Mental Health. 2019;6(1). doi : https://doi.org/10.2196/11973
Esabella S, Hamdani F, Yuliono F. Rancang Bangun Aplikasi Media Promosi Hidup Sehat Berbasis Android (Studi Kasus Di Dinas Kesehatan Kabupaten Sumbawa). Jurnal Informatika Teknologi dan Sains. 2019;1(2):143–52. doi : https://doi.org/10.51401/jinteks.v1i2.420
IP S, D.I A, A W, E A. The Relationship of Giving Exclusive Breastfeeding to Nutritional Status of 0-6 Months Infants in Rajabasa Bandar Lampung Health Center Area. Major (Medical Jurnal of Lampung University). 2014;3(2):100–7.
Safaat HN. Pemograman Aplikasi Mobile Smartphone dan Tablet PC Berbasis Android (Edisi Revisi). In Bandung: Informatika; 2012.
Romadhoni S, Sulistiyowati I, Rizqiyah MA. IoT-based Pregnant Mother Contraction Monitoring System Design. Jurnal Edukasi Elektro. 2024;8(1):12–22. doi : http://dx.doi.org/10.21831/jee.v8i1.66465
Yeni F putri. Pengembangan Aplikasi Buku Saku Berbasis Android Sebagai Media Pembelajaran Hukum Kesehatan di Akademi Farmasi Surabaya. IT-Edu : Jurnal Information Technology and Education. 2017;2(02):22–3.
Sarmento, H. et al. Digital Tools and Nutrition: Insights from Community Health Programs.BMCPublic Health Journal. 2024; doi : https://doi.org/10.1186%2Fs12889-024-18062-3
Alam HS, . A. Pemberdayaan Kader Posyandu dalam Penggunaan Media Putar Antropometri Status Gizi Usia 0-59 Bulan. Jurnal Pengabdian Kepada Masyarakat. 2023;71–7.
Lemos, L. M. et al. ". The Role of Technology in Child Nutritional Assessment. ." Glob Heal Technol J. 2021;
Erlangga E, Sari D, Saputra A, Puspa AK, Aprilinda Y. Mommy Care: Inovasi Cerdas untuk Monitor Kondisi Ibu Hamil dengan Mikrokontroler dan Aplikasi. EXPERT Jurnal Manajemen Sistem Informasi dan Teknologi. 2023;13(1):56. doi : http://dx.doi.org/10.36448/expert.v13i1.3168
Susilo SJ, Supatman S, Supatman S. Sistem Pendukung Keputusan Penentuan Status Gizi Balita Dengan Metode Fuzzy Tahani (Menggunakan Standar Antropometri Anak). Jurnal Informa Jurnal Penelitian dan Pengabdian Masyarakat. 2021;7(1):1–7. doi : https://doi.org/10.46808/informa.v7i1.192
Adrian DR, Harmadi H. Pengaplikasian Alat Ukur Tinggi, Berat Badan, dan Penentuan Status Gizi pada Balita Berbasis ESP32 WROOM 32 melalui Telegram. Jurnal Fisika Unand. 2024;13(1):82–8.
Hajesmaeel-Gohari S, Sarpourian F, Shafiei E. Virtual reality applications to assist pregnant women: a scoping review. BMC Pregnancy Childbirth. 2021;21(1):1–8.
Arisandi RRR, Warsito B, Hakim AR. Aplikasi Naïve Bayes Classifier (Nbc) Pada Klasifikasi Status Gizi Balita Stunting Dengan Pengujian K-Fold Cross Validation. Jurnal Gaussian. 2022;11(1):130–9. doi: https://doi.org/10.14710/j.gauss.v11i1.33991
Ulansari Ade, Amini Safrina, Mulyati Sri. Sistem Pendukung Keputusan Gizi Balita Menggunakan Metode Simple Additive Weighting Berbasis Web. Proceeding SINTAK 2019. 2019;352–60.
Ali, A. et al. Leveraging Mobile Platforms to Improve Health Outcomes: A Focus on Nutrition. Journal Digital Health Research. 2023;
Putri SA, Novayelinda R, Indriati G, Zukhra RM, Amir Y, Tampubolon NR, et al. Mother’s experience in providing complementary food to stunted children. JNKI (Jurnal Ners dan Kebidanan Indonesia (Indonesian Journal of Nursing Midwifery). 2024;12(2):135.
Rizqi MA, Wiwaha G, Herawati DMD. Pengembangan Aplikasi Seluler Lingkar Lengan Atas Ibu Hamil Berbasis Android. Jurnal Riset Kesehatan Poltekkes Depkes Bandung. 2021;13(2):476–84.
Darnila E, Maryana M, Azmi M. Aplikasi Klasifikasi Status Gizi Balita Menggunakan Metode Naïve Bayes Berbasis Android. METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi. 2021;5(2):135–41. doi : https://doi.org/10.46880/jmika.Vol5No2.pp135-141
Soto-Mendez, Maria Jose, Angel Gil, Luis A. Moreno and BC. Fundacion Iberoamericana de Nutricion (FINUT) Conference 2020. Ann Nutr Metab [Internet]. 2020;76:10–3. Available from: https://www.jstor.org/stable/48620349.
Luthfi M, Amin IH Al, Cahyono TD. Sistem Pendukung Keputusan Gizi Balita Menggunakan Metode Simple Additive Weighting Berbasis Web. PProceeding SINTAK 2019. 2019;(1):352–60.
Gogia, S., & Sachdev HS. Mobile Health Applications for Nutrition Monitoring. Health Informatics Journal. 2020;
Republik Indonesia. Undang-Undang Republik Indonesia Nomor 36 Tahun 2014 Tentang Tenaga Kesehatan. Menteri Huk dan Hak Asasi Mns Republik Indones. 2014;
Hafizan H, Putri AN. Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun. KESATRIA Jurnal Penerapan Sistem Informasi (Komputer Manajemen). 2020;1(2):68–72.
DOI: http://dx.doi.org/10.21927/jnki.2024.12(3).%25p
Refbacks
- There are currently no refbacks.
Jurnal Ners dan Kebidanan Indonesia (JNKI) indexed by:
View My Stats