Logical Model for Android-Based Application of Obesity Prevention and Management
Bangga Agung Satrya
, Kemal N Siregar , Artha Prabawa , Rico Kurniawan
Logical Model, Application, Android, Preventive, Management, Obesity, Indonesia
Obesity is preventable, but the prevalence of obesity in Indonesia continues to increase. Currently, digital health has been developed, and the Indonesian government has the Nusantara Movement to Reduce Obesity Rates (GENTAS) program to prevent and manage obesity. This paper will show a logic model for Android-based applications on obesity prevention and management. This logical model design was carried out using the Systems Development Life Cycle (SDLC) method. The android-based application's logical model and interface for obesity prevention and management can be accessed by the whole community and health officers (nutritionists and sports experts, the Public Health Center [PHC], and the Ministry of Health [MOH]). There is a health profile feature on the community's role to view users' health status, consultations, recommendations, health articles, videos, and BMI calculator. And dashboard access, answering the consultations, and creating health articles in the health officer's roles. This logical model allows the community and health officers to prevent and manage obesity in Indonesia.
"Logical Model for Android-Based Application of Obesity Prevention and Management", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 1, page no.7 - 13, January-2023, Available :https://ijsdr.org/papers/IJSDR2301002.pdf
Volume 8
Issue 1,
January-2023
Pages : 7 - 13
Paper Reg. ID: IJSDR_203311
Published Paper Id: IJSDR2301002
Downloads: 000347200
Research Area: Science & Technology
Country: Jakarta Selatan, DKI Jakarta, Indonesia
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave