Abstract
To enhance both community and clinical nutrition reporting, it is crucial for nutritionists to stay informed about technological advancements that improve the understanding of nutritional needs and the assessment of individual nutritional status, thereby supporting effective monitoring of dietary intake. This research focuses on the development and evaluation of NutrAnt, an Android-based application designed for individual nutrition assessment. Conducted in Banda Aceh City and Aceh Besar between April and July 2025, the study involved 53 nutritionists and experts selected purposively. The Research and Development (R&D) method was applied using the ADDIE framework (Analysis, Design, Development, Implementation, Evaluation). The app underwent black-box and usability testing, with the analysis carried out through three stages: data reduction, data display, and conclusion drawing. To assess user satisfaction, the Technology Acceptance Model (TAM) was employed. Findings revealed that the app’s functionality was highly rated, with satisfaction scores of 85.5% from Health Office nutritionists and 90.0% from the nutritionist team. NutrAnt demonstrated its effectiveness in improving nutritionists’ ability to evaluate patients’ nutritional needs across both community and clinical settings. In conclusion, the development of NutrAnt confirmed its usability and functionality for personalized nutrition assessment. Featuring four modules, the app offers an efficient tool to support nutritionists in providing accurate nutrition services. Future developments should explore expanding the app’s features and adapting it for broader use, marking a significant step forward in advancing digital tools for nutrition assessment and reporting.
References
Al Rahmad, A. H., Iskandar, I., & Hafid, F. (2024). Development of Nutrant Application Based on Android Platform for Individual Nutrition Assessment. Jurnal Info Kesehatan, 22(3), 609–619. https://doi.org/10.31965/infokes.Vol22.Iss3.1634
Andersen, R., Brunoe, T. D., & Nielsen, K. (2023). Platform-based product development in the process industry: a systematic literature review. International Journal of Production Research, 61(5), 1696–1719. https://doi.org/10.1080/00207543.2022.2044085
Ardiansyah, D., & Avianto, D. (2024). The Implementation of a Body Mass Index (BMI) Calculator in an Android-Based Ideal Body Check and Nutrition Consultation Application. International Journal of Engineering Technology and Natural Sciences, 6(2), 105–120. https://doi.org/10.46923/ijets.v6i2.366
Arndt, M. B., Abate, Y. H., Abbasi-Kangevari, M., Abd ElHafeez, S., Abdelmasseh, M., Abd-Elsalam, S., Abdulah, D. M., Abdulkader, R. S., Abidi, H., Abiodun, O., Aboagye, R. G., Abolhassani, H., Abtew, Y. D., Abu-Gharbieh, E., Abu-Rmeileh, N. M. E., Acuna, J. M., Adamu, K., Adane, D. E., Addo, I. Y., … Reiner Jr, R. C. (2024). Global, regional, and national progress towards the 2030 global nutrition targets and forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 404(10471), 2543–2583. https://doi.org/10.1016/S0140-6736(24)01821-X
Burgess, L., Bartholomew, T., Richards, R., & Bellini, S. G. (2020). Qualitative Research Study of the Calorie Count Process in Hospitalized Pediatric Patients and Identification of Opportunities for Quality Improvement. Topics in Clinical Nutrition, 35(4), 287–298. https://doi.org/10.1097/TIN.0000000000000222
Carvalho, M., Kotian, P., George, H., Pawade, D., Dalvi, A., & Siddavatam, I. (2021). Implementation of smart diet assistance application. Proceedings of 6th International Conference on Recent Trends in Computing: ICRTC 2020, 309–322. https://link.springer.com/book/10.1007/978-981-33-4501-0
Chueh, T.-L., Wang, Z.-L., Ngu, Y. J., Lin, P.-L., Owaga, E., & Hsieh, R.-H. (2024). A Mobile-Based Nutrition Tracker App Enhanced Dietitian-Guided 2:1:1 Diet-Induced Weight Loss: An 8-Week Retrospective Cohort Study in Taiwan. Nutrients, 16(14), 2331. https://doi.org/10.3390/nu16142331
Conrad, J., Wiese, M., Andone, I., Koch, S., Markowetz, A., Alexy, U., & Nöthlings, U. (2020). Development and feasibility testing of the smartphone-based dietary record app NutriDiary (beta version). Proceedings of the Nutrition Society, 79(2), E84. https://doi.org/DOI: 10.1017/S0029665120000324
Feng, Y., Zhao, Y., Mao, L., Gu, M., Yuan, H., Lu, J., Zhang, Q., Zhao, Q., & Li, X. (2023). The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial. JMIR MHealth and UHealth, 11, e40420. https://doi.org/10.2196/40420
Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019). Perceived usefulness, ease of use and user acceptance of blockchain technology for digital transactions–insights from user-generated content on Twitter. Enterprise Information Systems, 13(6), 771–800. https://www.tandfonline.com/doi/full/10.1080/17517575.2019.1599446
Henes, S. T., Stotz, S. A., Riggs, S. E., & Yang, H.-M. (2025). eHealth, family-based interventions, and multilevel approaches to pediatric weight management: a scoping review. Nutrition Reviews, 83(2), e649–e666. https://doi.org/10.1093/nutrit/nuad160
Kemenkes RI. (2020). Tabel Komposisi Pangan Indonesia. In Hermana (Ed.), Kementerian Kesehatan RI (1st ed.). Kementerian Kesehatan RI.
Kim, S.-D. (2025). Trends and Perspectives of mHealth in Obesity Control. Applied Sciences, 15(1), 74. https://doi.org/10.3390/app15010074
Liu, Y., Jiang, H., Qi, Y., & Yang, J. (2023). m-Health of Nutrition: Improving Nutrition Services with Smartphone and Machine Learning. Mobile Information Systems, 2023(1), 3979020. https://doi.org/10.1155/2023/3979020
Machfutra, E. D., Wahidin, M., Wardani, Y. F., Kusuma, D., Riyadina, W., Sitorus, N., & Letelay, A. M. (2025). Risk Factors, Prevention and Control Programs, and Prevalence of Diabetes in Indoniesia–District Association. Research Square, 10, 1–12. https://doi.org/10.21203/rs.3.rs-5749374/v1
Middleton, A., Downer, B., Haas, A., Knox, S., & Ottenbacher, K. J. (2019). Functional status is associated with 30-day potentially preventable readmissions following home health care. Medical Care, 57(2), 145–151. https://doi.org/10.1016/j.jamda.2017.12.003
Navidad, L., Padial-Ruz, R., & González, M. C. (2021). Nutrition, Physical Activity, and New Technology Programs on Obesity Prevention in Primary Education: A Systematic Review. In International Journal of Environmental Research and Public Health (Vol. 18, Issue 19, p. 10187). https://doi.org/10.3390/ijerph181910187
Neupane, S., Jangid, M., Scott, S. P., Kim, S. S., Murira, Z., Heidkamp, R., Carducci, B., & Menon, P. (2024). Availability of national policies, programmes, and survey-based coverage data to track nutrition interventions in South Asia. Maternal & Child Nutrition, 20(1), e13555. https://doi.org/10.1111/mcn.13555
Ocay, A. B., Fernandez, J. M., & Palaoag, T. D. (2017). NutriTrack: Android-based food recognition app for nutrition awareness. 2017 3rd IEEE International Conference on Computer and Communications (ICCC), 2099–2104. https://doi.org/10.1109/CompComm.2017.8322907
Paglialonga, F., Monzani, A., Prodam, F., Smith, C., De Zan, F., Canpolat, N., Agbas, A., Bayazit, A., Anarat, A., & Bakkaloglu, S. A. (2023). Nutritional and anthropometric indices in children receiving haemodiafiltration vs conventional haemodialysis-the HDF, Heart and Height (3H) Study. Journal of Renal Nutrition, 33(1), 17–28. https://doi.org/10.1053/j.jrn.2022.07.005
Rahimi, B., Nadri, H., Afshar, H. L., & Timpka, T. (2018). A systematic review of the technology acceptance model in health informatics. Applied Clinical Informatics, 9(03), 604–634. https://doi.org/10.1055/s-0038-1668091
Rahman, F. F. (2024). Indonesia’s healthcare landscape: embracing innovation in the new health regime. Current Medical Research and Opinion, 40(6), 929–933. https://doi.org/10.1080/03007995.2024.2349732
Salas-Groves, E., Galyean, S., Alcorn, M., & Childress, A. (2023). Behavior change effectiveness using nutrition apps in people with chronic diseases: scoping review. JMIR Mhealth Uhealth, 11(1), e41235. https://doi.org/10.2196/41235
Saraswati, P. W., & Suri, M. (2023). The Intersectional Approach to Diabetes in Primary Care: Does It Exist? A Comparative Rapid Literature Review and Policy Analysis from Indonesia and India. In https://cisdi.org. Center for Indonesia’s Strategic Development Initiatives (CISDI). https://cisdi.org/en/article/the-intersectional-approach-to-diabetes-in-primary-care
Seid, A., Fufa, D. D., & Bitew, Z. W. (2024). The use of internet-based smartphone apps consistently improved consumers’ healthy eating behaviors: a systematic review of randomized controlled trials. Frontiers in Digital Health, 6(1), 1–13. https://doi.org/10.3389/fdgth.2024.1282570
Sjöblom, L., Hantikainen, E., Dahlgren, A., Trolle Lagerros, Y., & Bonn, S. E. (2025). The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial. Nutrition Journal, 24(1), 2. https://doi.org/10.1186/s12937-024-01069-2
Tan, S. S., Fierloos, I. N., Zhang, X., Koppelaar, E., Alhambra-Borras, T., Rentoumis, T., Williams, G., Rukavina, T., van Staveren, R., & Garces-Ferrer, J. (2020). The association between loneliness and health related quality of life (HR-QoL) among community-dwelling older citizens. International Journal of Environmental Research and Public Health, 17(2), 600. https://doi.org/10.3390/ijerph17020600
Thompson, A. K., Prange, R. K., Bancroft, R., & Puttongsiri, T. (2018). Controlled atmosphere storage of fruit and vegetables. CABI. https://www.cabidigitallibrary.org/doi/book/10.1079/9781786393739.0000
Wang, Y., Min, J., Khuri, J., Xue, H., Xie, B., A Kaminsky, L., & J Cheskin, L. (2020). Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews. JMIR Mhealth Uhealth, 8(4), e15400. https://doi.org/10.2196/15400
Yang, C., Ambayo, H., De Baets, B., Kolsteren, P., Thanintorn, N., Hawwash, D., Bouwman, J., Bronselaer, A., Pattyn, F., & Lachat, C. (2019). An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content. Nutrients, 11(6), 1300. https://doi.org/10.3390/nu11061300
Ye, C., Butler, L., Bartek, C., Iangurazov, M., Lu, Q., Gregory, A., Girolami, M., & Middleton, C. (2019). A digital twin of bridges for structural health monitoring. 12th International Workshop on Structural Health Monitoring 2019. https://discovery.ucl.ac.uk/id/eprint/10083097/

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Copyright (c) 2025 Agus Hendra Al Rahmad, Nunung Sri Mulyani, Abdul Hadi, Azhari Azhari

