Implementation of Android Platform Application "PSG Balita" ISO/IEC 25010 Standardized to Improve Nutritional Status Data for Toddler

https://doi.org/10.33860/jik.v17i1.2083

Authors

  • Agus Hendra Al Rahmad Department of Nutrition, Health Polytechnic of Aceh, Ministry of Health, Aceh, Indonesia
  • Ichsan Ichsan Department of Nutrition, Health Polytechnic of Aceh, Ministry of Health, Aceh, Indonesia
  • Ratna Wilis Department of Dental Health, Health Polytechnic of Aceh, Ministry of Health, Aceh, Indonesia

Keywords:

ISO/IEC 25010, Nutrition Status, PSG Balita, Data Quality

Abstract

The need to obtain data and information on nutritional status based on the name by address is required for nutrition reporting. Thus, we should use technological advances to support the quality of toddler nutritional status data. The "PSG Balita" application has ISO/IEC 25010 standards and allows proper recording. This study aimed to measure the effect of implementing an Android-based "PSG Balita" application with ISO/IEC 25010 standards on the quality of toddler nutritional status data. A quasi-experimental research design was conducted in Banda Aceh City in 2021, involving 30 nutritionists at a health center. Data were collected through interviews and observations using a questionnaire that included timeliness, completeness, accuracy, and usefulness. The intervention was conducted through training using the Android-based "PSG Balita" application for one month. Data analysis using the Repeated Measures ANOVA test. Results, the "PSG Balita" application has shown a significant effect in improving the quality of nutritional status data for children under five (p < 0.05). It was found that after implementing the application for one month, the aspects of timeliness (p= 0.000), completeness (p= 0.000), accuracy (p= 0.001), and usefulness (p= 0.002) could improve the quality of nutritional status data for toddlers. In conclusion, the "PSG Balita" application has made it easier for users to monitor the nutritional status of a toddler, has good accuracy, and allows early identification of the risk of malnutrition. The "PSG Balita" application, which adheres to ISO/IEC 25010 standards, can enhance the accuracy of nutritional status data for young children.

References

Deoni S, Dean D, Joelson S, O'Regan J, Schneider N. Early nutrition influences developmental myelination and cognition in infants and young children. Neuroimage [Internet]. 2018;178:649–59. Available from: https://www.sciencedirect.com/science/article/pii/S1053811917310807

Huriah T, Nurjannah N. Risk factors of stunting in developing countries: A scoping review. Open Access Maced J Med Sci. 2020;8(F):155–60.

WHO. Global Nutrition Targets 2025. Geneva Switzerland; 2020.

Kemenkes RI. Laporan Riset Kesehatan Dasar (RISKESDAS) tahun 2018. Kementerian Kesehatan RI. Jakarta; 2018.

Kemenkes RI. Survei Status Gizi SSGI 2022. BKPK Kemenkes RI. 2022;1–156.

Dash S, Shakyawar SK, Sharma M, Kaushik S. Big data in healthcare: management, analysis and future prospects. J Big Data [Internet]. 2019;6(1):54. Available from: https://doi.org/10.1186/s40537-019-0217-0

Utomo B, Hamzah T, Soetjiatie L, Mudjiono U. Android-Based application system for monitoring baby's growth and development. IOP Conf Ser Mater Sci Eng [Internet]. 2021;1088(1):12007. Available from: https://dx.doi.org/10.1088/1757-899X/1088/1/012007

Srivastava R, Kushwaha S, Khanna P, Gupta M, Bharti B, Jain R. Comprehensive overview of smartphone applications delivering child nutrition information. Nutrition [Internet]. 2022;103–104:111773. Available from: https://www.sciencedirect.com/science/article/pii/S0899900722001861

Al Rahmad AH, Junaidi J, Fitrianingsih E, Iskandar I, Mulyani NS, Irwandi I, et al. Effectiveness of using Android-based applications for nutrition monitoring of toddlers in Banda Aceh. Open Access Maced J Med Sci [Internet]. 2022 Jan 13;10(E):444–51. Available from: https://oamjms.eu/index.php/mjms/article/view/7599

Raymond L, Paré G, Ortiz de Guinea A, Poba-Nzaou P, Trudel M-C, Marsan J, et al. Improving performance in medical practices through the extended use of electronic medical record systems: a survey of Canadian family physicians. BMC Med Inform Decis Mak [Internet]. 2015;15(1):27. Available from: https://doi.org/10.1186/s12911-015-0152-8

Hors-Fraile S, Rivera-Romero O, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit-Balcells A, et al. Analyzing recommender systems for health promotion using a multidisciplinary taxonomy: A scoping review. Int J Med Inform [Internet]. 2018;114:143–55. Available from: https://www.sciencedirect.com/science/article/pii/S1386505617304690

Al Rahmad AH, Junaidi, Mulyani NS. Analisis Kualitas Aplikasi PSG Balita pada Platform Android Berdasarkan Standar ISO/IEC 25010. Politeknik Kesehatan Kemenkes Aceh. Aceh Besar; 2021.

Sharma SK, Mudgal SK, Thakur K, Gaur R. How to calculate sample size for observational and experimental nursing research studies? Natl J Physiol Pharm Pharmacol [Internet]. 2020;10(1):1–8. Available from: https://www.proquest.com/scholarly-journals/how-calculate-sample-size-observational/docview/2345929912/se-2

Purbo OW, Hartanto AA. Teknologi e-learning berbasis PHP dan MySQL. Elex Media Komputindo. 2002;

Kramer M. Best practices in systems development lifecycle: An analyses based on the waterfall model. Rev Bus Financ Stud. 2018;9(1):77–84.

Pratama IS, Nawassyarif, Aliyah J. Pengembangan Sistem Informasi Sarana dan Prasarana di Universitas Teknologi Sumbawa (UTS) Berbasis Web. J Inform Teknol dan Sains. 2019;1(1):39–49.

Lesmideyarti D, Rochimah S, Yuhana UL. Penyusunan Dan Pengujian Metrik Operabilitas Untuk Sistem Informasi Akademik Berdasarkan ISO 25010. Inspir J Teknol Inf dan Komun. 2017;7(2):92–100.

WHO. WHO Anthro for personal computers manual. World Health Organization. World Health Organization; 2011. 14 p.

Kemenkes RI. Peraturan Menteri Kesehatan RI, No 2 Tahun 2020 tentang Standar Antropometri Anak. Kementerian Kesehatan Republik Indonesia. Indonesia: 2; 2020. p. 12–5.

Fitri MO. Aplikasi Monitoring Perkembangan Status Gizi Anak Dan Balita Secara Digital Dengan Metode Antropometri Berbasis Android. J INSTEK (Informatika Sains dan Teknol. 2018;2(1):81–90.

Setyowati M, Ardi MF. Pengelolaan Data Pelayanan Kesehatan Ibu dan Anak Bagian Gizi Balita di Puskesmas Berbasis Android Mobile untuk Mendukung Pencapaian Sustainable Development Goals (SDG’s). In: Semnas & Call for Papers. Semarang: Fakultas Ilmu Kesehatan, Muhammadiyah University Press; 2017. p. 22–6.

Sari DY, Dewanto WK, Surateno S. Aplikasi Pemantauan Status Gizi Berdasarkan Pengukuran Antropometri Menggunakan Metode Fuzzy Logic. J Teknol Inf dan Terap. 2018;5(1):55–64.

Al Rahmad AH, Junaidi J. Pemanfaatan aplikasi standar pertumbuhan WHO 2005 berbasis smartphone android (PSG Balita) terhadap kualitas data gizi. J Kesehat. 2020;11(1):10–8.

Salameh B, Eddy LL, Batran A, Hijaz A, Jaser S. Nurses' attitudes toward the use of an electronic health information system in a developing country [Internet]. Vol. 5, SAGE open nursing. Department of Nursing, Arab American University, Jenin, Palestine.; 2019. p. 2377960819843711. Available from: http://europepmc.org/abstract/MED/33415233

Wang W, Haggerty J, Loban E(., Liu X. Evaluating primary health care performance from user perspective in China: Review of survey instruments and implementation issues. Vol. 16, International Journal of Environmental Research and Public Health. 2019. p. 926.

Lwin MO, Lu J, Sheldenkar A, Panchapakesan C, Tan Y-R, Yap P, et al. Effectiveness of a mobile-based influenza-like illness surveillance system (FluMob) among health care workers: Longitudinal study. JMIR Mhealth Uhealth [Internet]. 2020;8(12):e19712. Available from: https://mhealth.jmir.org/2020/12/e19712

Corsi DJ, Perkins JM, Subramanian S V. Child anthropometry data quality from Demographic and Health Surveys, Multiple Indicator Cluster Surveys, and National Nutrition Surveys in the West Central Africa region: are we comparing apples and oranges? Glob Health Action [Internet]. 2017 Jan 1;10(1):1328185. Available from: https://doi.org/10.1080/16549716.2017.1328185

Sittig DF, Singh H. A new socio-technical model for studying health information technology in complex adaptive healthcare systems. In: Cognitive Informatics for Biomedicine: Human Computer Interaction in Healthcare. Springer; 2015. p. 59–80.

Downloads

Published

2023-05-25

How to Cite

Al Rahmad, A. H., Ichsan, I., & Wilis, R. . (2023). Implementation of Android Platform Application "PSG Balita" ISO/IEC 25010 Standardized to Improve Nutritional Status Data for Toddler. Poltekita: Jurnal Ilmu Kesehatan, 17(1), 14–21. https://doi.org/10.33860/jik.v17i1.2083

Issue

Section

Original Articles

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.