Chatbots Be Nutritionists
Exploring the Potential of AI-Powered to Improve Nutritional Counseling in Indonesia
Bibliographic Data
| ID | 19575496 |
|---|---|
| Authors | Elsa Silvia Nur Aulia (0000-0002-4891-8633, Bandung Institute of Technology), Gumawang Jati (Bandung Institute of Technology), Indra Wibowo (0000-0003-2943-5094, Bandung Institute of Technology), Hubbi Nashrullah Muhammad (0000-0003-3775-6437, Bandung Institute of Technology), Epin Saepudin (Bandung Institute of Technology) |
| Year | 2024 |
| Volume | 23 |
| Issue | 3 |
| Pages | 324-335 |
| Publication date | 2024-11-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Jurnal Sosioteknologi (JOURNAL) |
| Journal identifiers | ISSN: 2443-258X • E-ISSN: 2443-258X |
| Publisher | The Institute for Research and Community Services (LPPM) ITB (PUBLISHER) |
| DOI | 10.5614/sostek.itbj.2024.23.3.2 |
| OpenAlex | W4404589266 |
| Language | EN |
Stunting, a significant public health issue in Indonesia, adversely affects both child development and the country's economic well-being. This study investigates how AI- powered chatbots could enhance dietary advice and lower Indonesia's stunting rates. Owing to the restricted availability of certified nutritionists and the pervasiveness of mobile devices, chatbots present a scalable and convenient means of providing customized dietary advice. To properly study this topic and provide a comprehensive understanding of the situation, this study employs a quantitative approach using surveys and statistical analysis. The results suggest that chatbots driven by AI have the potential to resolve nutritional counseling issues in Indonesia; 80% of participants have prior experience utilizing chatbots. However, user needs, cultural context, and technology constraints must all be carefully considered for successful implementation. These findings indicate that implementing AI-powered chatbots is a promising strategy to significantly reduce stunting rates in Indonesian children in the process. Future research should concentrate on the development and evaluation of culturally appropriate andevidence-based chatbot interventions for potential use
Certification · Chatbot · Geography · Indonesian · Medical education · Political science · Psychological intervention · World Wide Web · AI in Service Interactions · Computer Science · Medicine · Nursing · Psychology
| Highly cited | No |
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