Title : Effectiveness of Android-Based Application (Nosting) for Early Detection of Stunting and Growth and Development Screening in Children Aged 12-24 Months

Vol 5 No 10 (2023): Volume 06 Issue 10 October 2023

Article Date Published : 16 October 2023 | Page No.: 6714-6723 | Google Scholar | Crossref doi for this article

Abstract :

In general, data from height and weight measurements are manually entered into a growth chart, where this process takes time and can result in stunting cases being missed during the data entry process. Therefore, an early detection system was developed by utilizing the sophistication of Android which is currently widely used by the community. The purpose of this research is to build an innovative application for early detection of stunting and growth and development screening in children aged 12-24 months so that it can make it easier to monitor their growth and development based on Z-Score and KPSP. This research method is R&D. The research model used is ADDIE. This study used 43 respondents and 3 expert respondents. The sampling technique used purposive sampling. The results of the study based on the assessment of 3 experts get a value of 79.67% with a category worth using and based on a small scale trial on 43 respondents on the assessment of the effectiveness of the application getting a value of 89% so that it can be categorized as very effective. It can be concluded that the application of early detection of stunting and growth and development screening is feasible and very effective to use.

Keywords :

Android, Application, Early Detection, Growth and Development, Stunting.

References :

  1. Andry, J.F., Suroso, J.S. and Bernanda, D.Y. (2018) ‘Improving quality of smes information system solution with ISO 9126’, Journal of Theoretical and Applied Information Technology, 96(14), pp. 4610–4620.
  2. Areemit, Lumbiganon, Suphakunpinyo, Jetsrisuparb, Sutra, & Sripanidkulchai et al. (2020) ‘A mobile app, KhunLook, to support Thai parents and caregivers with child health supervision: Development, validation, and acceptability study’, JMIR mHealth and uHealth, 8(10). Available at: https://doi.org/10.2196/15116.
  3. Banjarnahor, D., Darwiyanto, E. and Suwawi, D.D.J.S. (2018) ‘Analisis Kualitas Sistem Presensi Pada I-Gracias Universitas’, 5(3), pp. 7428–7440. Available at: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/7068/6962.
  4. Beal, Tumilowicz, Sutrisna, Izwardy, & Neufeld. et al. (2018) ‘A review of child stunting determinants in Indonesia’, Maternal & Child Nutrition, 14(4), p. e12617. Available at: https://doi.org/10.1111/MCN.12617.
  5. Bhavnani, S. et al. (2021) ‘The association of a novel digital tool for assessment of early childhood cognitive development, “Developmental assessment on an E-Platform (DEEP)”, with growth in rural India: A proof of concept study’, EClinicalMedicine, 37, p. 100964. Available at: https://doi.org/10.1016/j.eclinm.2021.100964.
  6. Başaran, S. and Mohammed, R.K.H. (2020) ‘Usability evaluation of open source learning management systems’, International Journal of Advanced Computer Science and Applications, 11(6), pp. 400–410. Available at: https://doi.org/10.14569/IJACSA.2020.0110652.
  7. Karabasevic, Stanujkic, Brzakovic, Maksimovic, & Brzakovic . (2018) ‘The evaluation of websites in the textile industry by applying ISO/IEC 9126-4 standard and the EDAS method’, Industria Textila, 69(6), pp. 427–524.
  8. DeWitt, Kientz, Coker, & Liljenquist. (2022) ‘mHealth Technology Design and Evaluation for Early Childhood Health Promotion: Systematic Literature Review’, JMIR Pediatrics and Parenting, 5(4). Available at: https://doi.org/10.2196/37718.
  9. Dunkel, Luque, Loche, & Savage. (2021) ‘Digital technologies to improve the precision of paediatric growth disorder diagnosis and management’, Growth Hormone and IGF Research, 59, p. 101408. Available at: https://doi.org/10.1016/j.ghir.2021.101408.
  10. Fernandez-Gauna, B., Rojo, N. and Graña, M. (2023) ‘Automatic feedback and assessment of team-coding assignments in a DevOps context’, International Journal of Educational Technology in Higher Education, 20(1). Available at: https://doi.org/10.1186/s41239-023-00386-6.
  11. Fernandez-Luque, Labarta, Palmer, & Koledova. (2020) ‘Content analysis of apps for growth monitoring and growth hormone treatment: Systematic search in the android app store’, JMIR mHealth and uHealth, 8(2), pp. 1–10. Available at: https://doi.org/10.2196/16208.
  12. Friska, E. and Andriani, H. (2022) ‘The Utilization of Android-Based Application as a Stunting Prevention E-Counseling Program Innovation during Covid-19 Pandemic’, Journal of Maternal and Child Health, 6(5), pp. 323–332. Available at: https://doi.org/10.26911/thejmch.2021.06.05.02.
  13. González-Pérez, Matey-Sanz, Granell, Díaz-Sanahuja, Bretón-López, & Casteleyn. (2023) ‘AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health’, Journal of Biomedical Informatics, 141(October 2022), p. 104359. Available at: https://doi.org/10.1016/j.jbi.2023.104359.
  14. Hanzelik, P.P., Kummer, A. and Abonyi, J. (2022) ‘Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development’, Sensors, 22(11), pp. 1–24. Available at: https://doi.org/10.3390/s22114268.
  15. Hijrawati, Usman, Syarif, Hadju, As’ad, & Baso. (2021) ‘Use of technology for monitoring the development of nutritional status 1000 hpk in stunting prevention in Indonesia’, Gaceta Sanitaria, 35, pp. S231–S234. Available at: https://doi.org/10.1016/j.gaceta.2021.10.028.
  16. Humphrey, G. et al. (2021) ‘See how they grow: Testing the feasibility of a mobile app to support parents’ understanding of child growth charts’, PLoS ONE, 16(2 February 2021), pp. 1–19. Available at: https://doi.org/10.1371/journal.pone.0246045.
  17. Jannah, M.N. dan G.W.P. (2018) ‘Effectiveness of the Si Cantik Application (Sidoarjo Prevents Maternal and Child Mortality Rates) at the Taman Puskesmas, Sidoarjo Regency’, Publika, 9(4), pp. 355–366.
  18. Kang, Y. and Kim, J. (2019) ‘Risk factors for undernutrition among children 0–59 months of age in Myanmar’, Maternal and Child Nutrition, 15(4). Available at: https://doi.org/10.1111/mcn.12821.
  19. Kristiani, L., Primasari, C.H. and Irianto, A.B.P. (2022) ‘Improvement Recommendation for Functionality, Usability, and Efficiency Aspect in Credit Surveyor Application Using ISO 9126’, AIP Conference Proceedings, 2578(November). Available at: https://doi.org/10.1063/5.0106408.
  20. Kustiawan, T.C. et al. (2022) ‘Use of mobile app to monitoring growth outcome of children: A systematic literature review’, Digital Health, 8. Available at: https://doi.org/10.1177/20552076221138641.
  21. Laksono, A.D. et al. (2022) ‘Stunting among children under two years in Indonesia: Does maternal education matter?’, PLoS ONE, 17(7 July), pp. 1–11. Available at: https://doi.org/10.1371/journal.pone.0271509.
  22. Langarizadeh, M. et al. (2021) ‘Mobile apps for weight management in children and adolescents; An updated systematic review’, Patient Education and Counseling, 104(9), pp. 2181–2188. Available at: https://doi.org/10.1016/j.pec.2021.01.035.
  23. Mulyaningsih, T. et al. (2021) ‘Beyond personal factors: Multilevel determinants of childhood stunting in Indonesia’, PLoS ONE, 16(11 November), pp. 1–19. Available at: https://doi.org/10.1371/journal.pone.0260265.
  24. Munoz, Castellanos, Cajal, Ortago, Ruiz, & Aizpun. et al. (2022) ‘Automated growth monitoring app (GROWIN): A mobile Health (mHealth) tool to improve the diagnosis and early management of growth and nutritional disorders in childhood’, Journal of the American Medical Informatics Association, 29(9), pp. 1508–1517. Available at: https://doi.org/10.1093/jamia/ocac108.
  25. Muro-Culebras, A. et al. (2021) ‘Tools for evaluating the content, efficacy, and usability of mobile health apps according to the consensus-based standards for the selection of health measurement instruments: Systematic review’, JMIR mHealth and uHealth, 9(12). Available at: https://doi.org/10.2196/15433.
  26. Nahar, B. et al. (2020) ‘Early childhood development and stunting: Findings from the MAL-ED birth cohort study in Bangladesh’, Maternal and Child Nutrition, 16(1). Available at: https://doi.org/10.1111/mcn.12864.
  27. Nurlailiah, Adinda Navis. (2022). Deteksi Dini Anemia Dan Rekomendasi Pada Remaja Putri Menggunakan Kecerdasan Artifisial. Semarang : Kebidanan Magister Terapan Kesehatan
  28. Patel, A.B. et al. (2019) ‘M-SAKHI—Mobile health solutions to help community providers promote maternal and infant nutrition and health using a community-based cluster randomized controlled trial in rural India: A study protocol’, Maternal and Child Nutrition, 15(4), pp. 1–16. Available at: https://doi.org/10.1111/mcn.12850.
  29. Paz, F. et al. (2019) Application of the usability metrics of the ISO 9126 standard in the E-commerce domain: A case study, Advances in Intelligent Systems and Computing. Springer International Publishing. Available at: https://doi.org/10.1007/978-3-030-11051-2_54.
  30. Perdomo, W. and Zapata, C.M. (2021) ‘Software quality measures and their relationship with the states of the software system alpha’, Ingeniare, 29(2), pp. 346–363. Available at: https://doi.org/10.4067/S0718-33052021000200346.
  31. Rina Tri Handayani, Aquartuti Tri Darmayanti, Catur Setyorini, Aris Widiyanto, J.T.A. (2019) ‘Intervensi Gizi dalam Penagnanan dan Pencegahan Stunting di Asia: Tinjauan Sistematis’, Jurnal Keperawatan Global, 5, pp. 26–30.
  32. Roba, A.A. et al. (2021) ‘Prevalence and determinants of concurrent wasting and stunting and other indicators of malnutrition among children 6–59 months old in Kersa, Ethiopia’, Maternal and Child Nutrition, 17(3), pp. 1–12. Available at: https://doi.org/10.1111/mcn.13172.
  33. Sanjaya, H., Andry, J. and Fernandes Andry, J. (2021) ‘Quality assurance of project management information system with ISO 9126 Bulletin of Social Informatics Theory and Application Quality assurance of project management information system with ISO 9126’, Article in Bulletin of Social Informatics Theory and Application, 5(2), pp. 82–87. Available at: https://www.researchgate.net/publication/357577418.
  34. Sari, K. and Sartika, R.A.D. (2021) ‘The effect of the physical factors of parents and children on stunting at birth among newborns in indonesia’, Journal of Preventive Medicine and Public Health, 54(5), pp. 309–316. Available at: https://doi.org/10.3961/jpmph.21.120.
  35. Seyyedi, N. et al. (2020) ‘Smartphone-Based Maternal Education for the Complementary Feeding of Undernourished Children’, Nutrients, 12(587), pp. 1–12.
  36. Shrestha, M.L. et al. (2022) ‘Malnutrition matters: Association of stunting and underweight with early childhood development indicators in Nepal’, Maternal and Child Nutrition, 18(2), pp. 1–9. Available at: https://doi.org/10.1111/mcn.13321.
  37. Stellata, A.G. et al. (2022) ‘Exploration of Telemidwifery: An Initiation of Application Menu in Indonesia’, International Journal of Environmental Research and Public Health, 19(17). Available at: https://doi.org/10.3390/ijerph191710713.
  38. Syamranata, T., Witjaksono, R.W. and Suputra, M. (2019) ‘Analysis of the maintainability and portability of ERP host to host system using ISO 9126 model’, Journal of Physics: Conference Series, 1367(1). Available at: https://doi.org/10.1088/1742-6596/1367/1/012010.
  39. Tajudeen, F.P. et al. (2022) ‘Understanding User Requirements for a Senior-Friendly Mobile Health Application’, Geriatrics (Switzerland), 7(5), pp. 1–21. Available at: https://doi.org/10.3390/geriatrics7050110.
  40. Thurstans, S. et al. (2022) ‘The relationship between wasting and stunting in young children: A systematic review’, Maternal and Child Nutrition, 18(1). Available at: https://doi.org/10.1111/mcn.13246.
  41. Vanderloo, L.M. et al. (2021) ‘Selecting and evaluating mobile health apps for the healthy life trajectories initiative: Development of the eHealth resource checklist’, JMIR mHealth and uHealth, 9(12), pp. 1–8. Available at: https://doi.org/10.2196/27533.
  42. Wang, G. et al. (2019) ‘Application Development and Testing Based on ISO 9126 Framework’, Journal of Physics: Conference Series, 1235(1). Available at: https://doi.org/10.1088/1742-6596/1235/1/012011
  43. WHO, (2014), Global Targets 2025: To Improve Maternal, Infant And Young Child Nutrition, Retrieved August 6, 2023, Form https://www.who.int/teams/nutrition-and-food-safety/global-targets-2025

How to Cite :

Effectiveness of Android-Based Application (Nosting) for Early Detection of Stunting and Growth and Development Screening in Children Aged 12-24 Months. Anisa Ilma Nurisna, Finta Isti Kundarti, Indah Rahmaningtyas , 5(10), 6714-6723. Retrieved from https://ijcsrr.org/single-view/?id=12839&pid=12822

Most read articles by the same author(s)

Anisa Ilma Nurisna, Finta Isti Kundarti, Indah Rahmaningtyas,

View

243

Citation

Downloads

Article Details