Smart Monitoring of School Nutrition: An IoTEnabled Approach to Evaluating The Free Nutritious Meal Pro‎gram

  • Authors

    • Dedi Dept. of Business and Management, Institut Teknologi dan Bisnis Bina Sarana Global, Tangerang, Indonesia
    • Muchamad Iqbal Dept. of Information Engineering, Teknologi dan Bisnis Bina Sarana Global, Tangerang, Indonesia
    • Jarudin Dept. of Information Engineering, Teknologi dan Bisnis Bina Sarana Global, Tangerang, Indonesia https://orcid.org/0000-0001-7176-3580
    • Nova Teguh Sunggono Dept. of Information Engineering, Teknologi dan Bisnis Bina Sarana Global, Tangerang, Indonesia
    https://doi.org/10.14419/pg8mnw78

    Received date: September 16, 2025

    Accepted date: September 23, 2025

    Published date: October 8, 2025

  • IoT; School Nutrition; Free Meal Scheme; Intelligent Monitoring; Makan Bergizi Gratis (MBG)‎.

  • Abstract

    This study designed and piloted an IoT-enabled monitoring framework for school nutrition programs. The system incorporated temperature, ‎humidity, and food weight sensors, with RFID tracking for logistics and cloud-based dashboards for analysis. Evaluation indicators ‎included compliance with national nutrition guidelines, distribution timeliness, food safety parameters, and stakeholder feedback. Pilot ‎deployment demonstrated that the IoT framework enhanced monitoring accuracy, reduced food wastage, and ensured greater adherence to ‎nutritional standards. Data from sensors enabled early detection of temperature deviations and logistic delays, while dashboards facilitated ‎evidence-based decisions by administrators. Preliminary outcomes also suggested improved student attendance and satisfaction due to more ‎reliable meal provision. IoT-enabled intelligent monitoring provides a scalable and transparent solution for evaluating a free nutritious meal ‎program. This approach supports national policy objectives by strengthening accountability, improving service delivery, and generating ‎actionable insights, and contributes to better child health and education outcomes. Future research should expand deployment at scale and ‎integrate predictive analytics to optimize program management further.

  • References

    1. D. Dedi, F. Frihatini, and Y. Kusnadi, “The Effectiveness of The Use of E-Commerce and Digital Payment on Brand Awareness of Private Re-gional Drinking Water Companies (PDAM),” Jurnal Manajemen Indonesia, vol. 24, no. 1, p. 121, Apr. 2024, https://doi.org/10.25124/jmi.v24i1.7362
    2. L. H. Jomaa, E. McDonnell, and C. Probart, “School feeding programs in developing countries: Impacts on children’s health and educational out-comes,” Nutr Rev, vol. 69, no. 2, pp. 83–98, Feb. 2011, https://doi.org/10.1111/j.1753-4887.2010.00369.x.
    3. M. Sekiyama et al., “School Feeding Programs in Indonesia,” The Japanese Journal of Nutrition and Dietetics, vol. 76, no. Supplement, pp. S86–S97, Jul. 2018, https://doi.org/10.5264/eiyogakuzashi.76.S86.
    4. M. Zenebe, S. Gebremedhin, C. J. Henry, and N. Regassa, “School feeding program has resulted in improved dietary diversity, nutritional status and class attendance of school children,” Ital J Pediatr, vol. 44, no. 1, Jan. 2018, https://doi.org/10.1186/s13052-018-0449-1.
    5. Z. Liu, S. Wang, Y. Zhang, Y. Feng, J. Liu, and H. Zhu, “Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis,” Mar. 01, 2023, MDPI. https://doi.org/10.3390/foods12061242.
    6. R. N. Kumar, C. A. R. Rao, B. M. K. Raju, J. Samuel, G. Nirmala, and B. Sailaja, “Monitoring and evaluation using digital tools,” International Journal of Agricultural Sciences, vol. 17, no. 2, pp. 765–774, Jun. 2021, https://doi.org/10.15740/HAS/IJAS/17.2/765-774.
    7. S. M. Kangara and Dr. K. Thiongo, “Effects of Information Technology Use on Monitoring and Evaluation Performance on Non-Governmental Organization Within Kibra Constituency in Nairobi County, Kenya,” International Journal of Scientific and Research Publications (IJSRP), vol. 11, no. 10, pp. 108–121, Oct. 2021, https://doi.org/10.29322/IJSRP.11.10.2021.p11815.
    8. A. Verma, A. Singh, D. Anand, H. M. Aljahdali, K. Alsubhi, and B. Khan, “IoT Inspired Intelligent Monitoring and Reporting Framework for Ed-ucation 4.0,” IEEE Access, vol. 9, pp. 131286–131305, 2021, https://doi.org/10.1109/ACCESS.2021.3114286.
    9. Anjali Raut et al., “IOT-Enabled Human Presence Sensing for Automated Laboratory System,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10, no. 6, pp. 873–878, Nov. 2024, https://doi.org/10.32628/CSEIT241061123.
    10. T. R. Kandukuri, I. Prattis, P. Oluwasanya, and L. G. Occhipinti, “Pathogen Detection via Impedance Spectroscopy-Based Biosensor,” Sensors, vol. 24, no. 3, Feb. 2024, https://doi.org/10.3390/s24030856.
    11. N. Trendov, B. Liu, M. Anta, and M. Zeng, “Digital solutions for nutrition-sensitive SME transformation,” UNSCN Nutr, vol. 45, pp. 57–65, 2020, [Online]. Available: www.unscn.org/unscnnutrition45.
    12. H. Eyles, K. Trieu, Y. Jiang, and C. N. Mhurchu, “Reducing children’s sugar intake through food reformulation: Methods for estimating sugar re-duction program targets, using New Zealand as a case study,” American Journal of Clinical Nutrition, vol. 111, no. 3, pp. 622–634, Mar. 2020, https://doi.org/10.1093/ajcn/nqz313.
    13. M. Nadeem, H. Shen, L. Choy, and J. M. H. Barakat, “Smart Diet Diary: Real-Time Mobile Application for Food Recognition,” Applied System Innovation, vol. 6, no. 2, Apr. 2023, https://doi.org/10.3390/asi6020053.
    14. C. Mulligan, L. Vergeer, M. P. Kent, and M. R. L’Abbé, “Child-appealing packaged food and beverage products in Canada-Prevalence, power, and nutritional quality,” PLoS One, vol. 18, no. 5 May, May 2023, https://doi.org/10.1371/journal.pone.0284350.
    15. N. Karmini and D. Alangkara, “Indonesia launches free meals program to feed children and pregnant women to fight malnutrition,” AP News, Ja-karta, pp. 1–5, Jan. 06, 2025. [Online]. Available: https://apnews.com/article/indonesia-prabowo-subianto-free-meals-children-mothers-213a04587203434f3f85950725e84a8b.
    16. L. Schultz and J. Ruel-Bergeron, “Considerations for Monitoring School Health and Nutrition Programs,” Front Public Health, vol. 9, Jul. 2021, https://doi.org/10.3389/fpubh.2021.645711.
    17. A. Benítez-Guijarro, Z. Callejas, M. Noguera, and K. Benghazi, “Architecting dietary intake monitoring as a service combining NLP and IoT,” J Ambient Intell Humaniz Comput, vol. 13, no. 11, pp. 5377–5389, Nov. 2022, https://doi.org/10.1007/s12652-019-01553-2.
    18. E. Ludher and M. Nasution, “Indonesia’s Free Nutritious Meal (Makan Bergizi Gratis) Programme Offers Policy Opportunities for Climate Action,” 2024.
    19. K. Sharma and S. K. Shivandu, “Integrating artificial intelligence and Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture,” Jan. 01, 2024, KeAi Communications Co. https://doi.org/10.1016/j.sintl.2024.100292.
    20. Jarudin et al., “IoT-Based Biometric Attendance System Using Arduino and ThingsBoard,” International Journal of Communication Networks and Information Security, vol. 15, no. 04, pp. 103–117, 2023.
    21. P. Vedavalli and D. Ch, “A Deep Learning Based Data Recovery Approach for Missing and Erroneous Data of IoT Nodes,” Sensors, vol. 23, no. 1, Jan. 2023, https://doi.org/10.3390/s23010170.
    22. E. Aurino, A. Gelli, C. Adamba, I. Osei-Akoto, and H. Alderman, “Food for Thought? Experimental Evidence on the Learning Impacts of a Large-Scale School Feeding Program,” Journal of Human Resources, vol. 58, no. 1, pp. 74–111, 2023, https://doi.org/10.3368/jhr.58.3.1019-10515R1.
    23. I. Ali, “Free Nutritious Meal Program to Create 90,000 Jobs,” Jakarta.Globe.com, p. 1, May 13, 2025. [Online]. Available: https://jakartaglobe.id/news/free-nutritious-meal-program-to-create-90000-jobs?utm_source=chatgpt.com.
    24. G. S. A. Trapp, N. Reid, S. Hickling, A. Bivoltsis, J. Mandzufas, and J. Howard, “Nutritional quality of children’s menus in restaurants: does cui-sine type matter?,” Public Health Nutr, vol. 26, no. 7, pp. 1451–1455, Jul. 2023, https://doi.org/10.1017/S1368980023000344.
    25. A. Tzounis, N. Katsoulas, T. Bartzanas, and C. Kittas, “Internet of Things in agriculture, recent advances and future challenges,” Dec. 01, 2017, Academic Press. https://doi.org/10.1016/j.biosystemseng.2017.09.007.
    26. C. N. Verdouw, J. Wolfert, A. J. M. Beulens, and A. Rialland, “Virtualization of food supply chains with the internet of things,” J Food Eng, vol. 176, pp. 128–136, May 2016, https://doi.org/10.1016/j.jfoodeng.2015.11.009.
    27. D. Junita and A. Eka Yunianto, “Fish-Based Complementary Feeding Practices Increasing Macro And Micro Nutrition Intake And Hemoglobin Levels in Anemia Toddlers,” Media Gizi Indonesia (National Nutrition Journal). 2023, vol. 18, no. 3, pp. 175–181, 2023, https://doi.org/10.20473/mgi.v18i3.175-181.
    28. S. M. R. Islam, D. Kwak, M. H. Kabir, M. Hossain, and K. S. Kwak, “The internet of things for health care: A comprehensive survey,” IEEE Ac-cess, vol. 3, pp. 678–708, Jun. 2015, https://doi.org/10.1109/ACCESS.2015.2437951.
    29. P. Jayagopal et al., “A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm,” Sci Rep, vol. 14, no. 1, Dec. 2024, https://doi.org/10.1038/s41598-024-54399-w.
    30. D. S. O. O. Foeken and A. M. Mwangi, “Improving school feeding through school farming: The case of Nakuru town, Kenya,” 2011.
    31. A. A. Lakshmi and D. Mariska, “Indonesia places a $28bn bet on free school meals,” FT Financial Literacy and Inclusion Campaign. Accessed: Jun. 01, 2025. [Online]. Available: https://www.ft.com/content/69209b1a-37b1-437e-83b5-b52d9194d74e?utm_source=chatgpt.com.
    32. M. Zhang et al., “Breakfast consumption behaviors of senior primary school students from agricultrual and pastoral areas of Qinghai Province,” Chinese Journal of School Health, vol. 44, no. 6, pp. 824–827, 2023.
    33. M. Bryant et al., “Understanding school food systems to support the development and implementation of food based policies and interventions,” International Journal of Behavioral Nutrition and Physical Activity, vol. 20, no. 1, Dec. 2023, https://doi.org/10.1186/s12966-023-01432-2.
    34. S. Ahmadzadeh, T. Ajmal, R. Ramanathan, and Y. Duan, “A Comprehensive Review on Food Waste Reduction Based on IoT and Big Data Tech-nologies,” Feb. 01, 2023, MDPI. https://doi.org/10.3390/su15043482.
    35. C. Trevisan and M. Formentini, “Digital Technologies for Food Loss and Waste Prevention and Reduction in Agri-Food Supply Chains: A System-atic Literature Review and Research Agenda,” IEEE Trans Eng Manag, vol. 71, pp. 12326–12345, 2024, https://doi.org/10.1109/TEM.2023.3273110.
    36. A. Kaur, G. Singh, V. Kukreja, S. Sharma, S. Singh, and B. Yoon, “Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications,” Nov. 01, 2022, MDPI. https://doi.org/10.3390/s22218174.
    37. G. Varavallo, G. Caragnano, F. Bertone, L. Vernetti-Prot, and O. Terzo, “Traceability Platform Based on Green Blockchain: An Application Case Study in Dairy Supply Chain,” Sustainability (Switzerland), vol. 14, no. 6, Mar. 2022, https://doi.org/10.3390/su14063321.
    38. E. S. Soegoto et al., “A systematic Literature Review of Internet of Things for Higher Education: Architecture and Implementation,” Indonesian Journal of Science and Technology, vol. 7, no. 3, pp. 511–528, 2022, https://doi.org/10.17509/ijost.v7i3.51464.
    39. Sudirman, “Manajemen Data Pendidikan Anak Secara Real-Time Dengan Open-Source Smart Register Platform (Opensrp),” Infotech : Jurnal In-formatika & Teknologi, vol. 2, no. 1, pp. 33–38, Jun. 2021, https://doi.org/10.37373/infotech.v2i1.110
    40. M. K. Poole, A. A. Musicus, and E. L. Kenney, “Alignment of US school lunches with the EAT-lancet healthy reference diet’s standards for plane-tary health,” Health Aff, vol. 39, no. 12, pp. 2144–2152, Dec. 2020, https://doi.org/10.1377/hlthaff.2020.01102.
    41. J. Martins et al., “Integrating sEMG and IMU Sensors in an e-Textile Smart Vest for Forward Posture Monitoring: First Steps,” Sensors, vol. 24, no. 14, Jul. 2024, https://doi.org/10.3390/s24144717.
    42. N. Zhang, “A Campus Big-Data Platform Architecture for Data Mining and Business Intelligence in Education Institutes,” 2016. https://doi.org/10.2991/mmebc-16.2016.59.
    43. X. Liu, Y. Feng, C. Wu, Y. Lu, and D. Gao, “An Empirical Analysis of Data-driven Intelligent Teaching Based on Cloud Class Platform,” Advanc-es in Educational Technology and Psychology, pp. 68–75, 2020.
    44. Y. H. Joo, “Promoting sustainable data-based decision-making in the korean educational information disclosure system,” Sustainability (Switzer-land), vol. 12, no. 17, Sep. 2020, https://doi.org/10.3390/su12176762.
    45. J. Dreze and R. Khera, “Recent Social Security Initiatives in India,” Word Development, vol. 98, pp. 555–572, 2017, https://doi.org/10.1016/j.worlddev.2017.05.035.
    46. B. Alsamani, S. Chatterjee, A. Anjomshoae, and P. Ractham, “Smart Space Design–A Framework and an IoT Prototype Implementation,” Sustain-ability (Switzerland), vol. 15, no. 1, Jan. 2023, https://doi.org/10.3390/su15010111.
    47. W. W. Jing, N. A. A. Rahman, and D. M. Vistro, “IOT-based medical ecosystem,” in Emerging Technologies for Digital Infrastructure Develop-ment, Bentham Science Publishers, 2023, pp. 150–162. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204760943&partnerID=40&md5=b77147c2b2db6c2763af9a480f7af5a6.
    48. R. Srinivasan, M. Kavitha, R. Kavitha, S. Muthaiyah, R. Lakshmanan, and R. Regunathan, “IoT-enabled digital revolution of the healthcare sys-tem,” in Technologies for Healthcare 4.0: From AI and IoT to blockchain, Institution of Engineering and Technology, 2023, pp. 199–211. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178976240&partnerID=40&md5=3035a11bf7a1be1f7092dec572d07e98.
    49. J. Mulligan, R. Tytler, V. Prain, and M. Kirk, “Implementing a pedagogical cycle to support data modelling and statistical reasoning in years 1 and 2 through the Interdisciplinary Mathematics and Science (IMS) project,” Mathematics Education Research Journal, vol. 36, pp. 37–66, 2024, https://doi.org/10.1007/s13394-023-00454-0.
    50. R. Rouhana and D. Van Caillie, “How do performance monitoring systems support sustainability in healthcare?,” Society and Business Review, 2025, https://doi.org/10.1108/SBR-07-2024-0244.
    51. J. A. Bielicki et al., “Monitoring approaches for health-care workers during the COVID-19 pandemic,” Lancet Infect Dis, vol. 20, no. 10, pp. e261–e267, 2020, https://doi.org/10.1016/S1473-3099(20)30458-8.

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  • How to Cite

    Dedi, Iqbal, M., Jarudin, & Teguh Sunggono, N. (2025). Smart Monitoring of School Nutrition: An IoTEnabled Approach to Evaluating The Free Nutritious Meal Pro‎gram. International Journal of Basic and Applied Sciences, 14(6), 128-138. https://doi.org/10.14419/pg8mnw78