Community-Based Development of Adaptive Digital SOPs for Hydroponic Farming at BGD Hydrofarm

Fazrol Rozi; Yance Sonatha; Fitri Nova; Primawati Primawati; Muhammad Ridwan  Kurniawan

doi:10.29062/engagement.v10i2.2180

Fazrol Rozi Politeknik Negeri Padang
Yance Sonatha Politeknik Negeri Padang
Fitri Nova Politeknik Negeri Padang
Primawati Primawati Department of Mechanical Engineering, Universitas Negeri Padang
Muhammad Ridwan Kurniawan BGD Hydrofarm

DOI: https://doi.org/10.29062/engagement.v10i2.2180

Keywords: Community Service, Hydroponics, Digital SOP, IoT, Generative Artificial Intelligence

Abstract

Background: Community-based hydroponic farming at BGD Hydrofarm faces challenges including manual monitoring, static Standard Operating Procedures (SOPs), and limited digital literacy, which reduce operational efficiency and accuracy. This community service program addresses these issues through the introduction of adaptive digital technologies.

Purpose of the Study: This study aims to improve hydroponic management practices and strengthen community capacity by co-developing adaptive digital SOPs that support data-driven decision-making at BGD Hydrofarm.

Methods: A participatory approach was applied, including needs assessment, co-design sessions, system development, training workshops, and participatory monitoring and evaluation. The GardenKeeper system integrates IoT-based sensors (monitoring pH, TDS, temperature, humidity, and plant visual condition) with generative artificial intelligence (Google Gemini AI) to provide real-time monitoring and adaptive SOP recommendations via a mobile application.

Results: The program resulted in reduced manual workload, improved monitoring efficiency, and increased partner confidence in using digital technology. Behavioral shifts from experience-based to data-driven decision-making were observed, with SOP consultations becoming a shared reference for collective action. Partners independently operated the application, and external stakeholders (Ministry of Cooperatives and SMEs, IGES) recognized the system's potential scalability. The before-after comparison showed improved digital confidence, reduced operational errors, and strengthened collaborative decision-making.

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References

Agnal, A. S., Sanaadhani, V. P., & Reshma, L. (2024). Automated IoT indoor hydroponic farm. In Proceedings of the 2024 International Conference on Power, Electronics, Control and Computing Technologies (ICPECTS) (pp. 1–6). IEEE. https://doi.org/10.1109/ICPECTS62210.2024.10780276

Agustian, I., Prayoga, B., Santosa, H., Daratha, N., & Faurina, R. (2022). NFT hydroponic control using Mamdani fuzzy inference system. Journal of Robotics and Control (JRC), 3(3). https://doi.org/10.18196/jrc.v3i3.14714

Bongaarts, J., & United Nations Department of Economic and Social Affairs, Population Division. (2020). World family planning 2020: Highlights. United Nations Publications. https://doi.org/10.1111/padr.12377

Ching, S. L., Siang, T. F., Chai, A., & Ching, C. P. (2025). Design and develop an IoT automated nutrient control in a hydroponic system. Fusus, 3(3), 18–25.

Gourshettiwar, P., & Reddy, K. (2024, September). A comprehensive analysis with machine learning algorithm and IoT integration in hydroponic vegetable system for nutrition management of plants/crops. https://doi.org/10.20944/preprints202409.0279.v1

Khadijah, K. F. R., Thakur, R., & Roy, S. (2024). Enhancing hydroponic farming productivity through IoT-based multi-sensor monitoring system. In Proceedings of the 9th International Conference on Internet of Things, Big Data and Security (IoTBDS) (pp. 351–357). SCITEPRESS. https://doi.org/10.5220/0012741300003705

Kumar, V. H. M., R., A., Kumar, P., & H., C. (2022). A study on hydroponic farming in Indian agriculture. International Journal of Innovative Research. https://doi.org/10.46254/in02.20220276

Monisha, K., Anuradha, C. T., Sri, A. K., Vaitheeswari, M., & Hikku, G. S. (2023). Hydroponics agriculture as a modern agriculture technique. Journal of Achievements in Materials and Manufacturing Engineering, 116(1), 25–35. https://doi.org/10.5604/01.3001.0016.3395

Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Negeri Padang. (2024). Buku panduan penelitian dan pengabdian kepada masyarakat (Edisi 3). Politeknik Negeri Padang

Patel, J. V., Bhatt, T., & Joshi, A. D. (2024). IoT-driven enhancement of hydroponic fertilization efficiency through machine learning: A data-centric strategy. In Proceedings of the 2024 International Conference on Intelligent Computing and Information Communication (ICOICI) (pp. 298–302). IEEE. https://doi.org/10.1109/ICOICI62503.2024.106965754

Perera, M., Hewavitharana, H. T. G., Kumburage, D. K., Dinuja, Y. D., Amarasinghe, Y. W. R., Dassanayake, V. P. C., Jayathilaka, W. A. D. M., & Premachandra, H. A. G. C. (2024). Intelligent algorithm for optimizing hydroponic solution in IoT-integrated agriculture systems. In Proceedings of the 2024 Moratuwa Engineering Research Conference (MERCon) (pp. 133–138). IEEE. https://doi.org/10.1109/MERCon63886.2024.1068913

Putra, P. A., & Yuliando, H. (2015). Soilless culture system to support water use efficiency and product quality: A review. Agricultural Engineering International: CIGR Journal, 17(4), 36–46.

Putra, S. D., Heriansyah, H., Cahyadi, E. F., Anggriani, K., & Jaya, M. H. I. S. (2024). Development of smart hydroponics system using AI-based sensing. Jurnal Infotel, 16(3), 1–12. https://doi.org/10.20895/infotel.v16i3.1190

Resh, H. M. (2022). Hydroponic food production: A definitive guidebook for the advanced home gardener and the commercial hydroponic grower (8th ed.). CRC Press. https://doi.org/10.1201/9781003133254

Singh, N., Wang’ombe, J., Okanga, N., Zelenska, T., Repishti, J., Jayasankar, K., Mishra, S., Manokaran, R., Singh, V., Rafiq, M., Gandhi, R., & Nambi, A. (2024, September). Farmer.Chat: Scaling AI-powered agricultural services for smallholder farmers. arXiv. https://doi.org/10.48550/arXiv.2409.08916

Tatas, K., Al-Zoubi, A., Christofides, N., Zannettis, C., Chrysostomou, M., Panteli, S., & Antoniou, A. (2022). Reliable IoT-based monitoring and control of hydroponic systems. Technologies, 10(1), Article 26. https://doi.org/10.3390/technologies10010026

Thakur, P., Malhotra, M., & Bhagat, R. (2023). IoT-based monitoring and control system for hydroponic cultivation: A comprehensive study [Manuscript]. Research Square. https://doi.org/10.21203/rs.3.rs-2821030/v1

Vishram, P., Gohokar, V., & Kulkarni, K. (2024). Smart nutrient management in hydroponics: IoT-driven optimization for enhanced crop yield and resource efficiency. Panamerican Mathematical Journal, 34(1). https://doi.org/10.52783/pmj.v34.i1.911

Wildan, M., & Anisa, N. (2024). Internet of things system development and experimentation for hydroponic farming. In Proceedings of the 2024 International Conference on Information Management and Technology (ICIMTech) (pp. 54–59). IEEE. https://doi.org/10.1109/ICIMTech63123.2024.10780

Yerukola, V., & Narendra, K. (2024). A study on hydroponic farming. Indian Scientific Journal of Research in Engineering and Management. https://doi.org/10.55041/ijsrem28665