Penyuluhan Pemanfaatan Teknologi IoT dan AI pada Pertanian Melom Premium kepada Kelompok Satria Tani Hanggawana Kabupaten Tegal
DOI:
https://doi.org/10.62951/solusibersama.v2i3.2061Keywords:
AI, IoT, Premium Melons, Smart FarmingAbstract
The agricultural sector plays a crucial role in fulfilling food needs, but it continues to face several challenges, including limited land, climate change, and the need for more cost-efficient production methods. To address these challenges, the application of Artificial Intelligence of Things (AIoT) technology emerges as a promising solution to enhance productivity and efficiency in farm management. AIoT technology integrates artificial intelligence (AI) and the Internet of Things (IoT), enabling smarter decision-making, automation, and real-time data analysis in agricultural practices. This community service activity aimed to provide AIoT technology training to the Satria Tani Hanggawana Farmers' Group in Kalisapu Village, Slawi Sub-district, Tegal Regency, focusing on premium melon cultivation. The methods used in the activity included presentations on relevant materials, an introduction to AI and IoT-based Smart Farming technology, hands-on practice in a greenhouse, and interactive discussions. These methods were designed to equip participants with practical knowledge about integrating AIoT technology into their agricultural operations, enabling them to apply it directly to melon cultivation. The results of the activity showed a significant increase in the participants' understanding of agribusiness management, basic bookkeeping practices, and the application of AIoT in melon cultivation. The participants exhibited high enthusiasm, actively engaging in discussions and successfully performing practical exercises. This training was effective in improving farmers' knowledge and motivating them to adopt AIoT technology in their farming operations. The program has been instrumental in encouraging the use of smart farming techniques, which can lead to more efficient and sustainable farming practices. It is recommended that ongoing support, including follow-up activities and further training, be provided to ensure the sustainability of the technology implementation and continue to improve local food security
References
Adli, H. K. (2023). Recent advancements and challenges of AIoT application in agriculture. Agricultural Systems, 205, 103-115. https://doi.org/10.1016/j.agsy.2023.103115
Alam, R. L., & Nasuha, A. (2020). Sistem pengendali pH air dan pemantauan lingkungan tanaman hidroponik menggunakan fuzzy logic berbasis IoT. Elinvo (Electronics, Informatics, Vocational Education, 5(1), 11-20. https://doi.org/10.21831/elinvo.v5i1.34587
Azman, N. (2023). Smart agricultural monitoring system using IoT application for chili plants. Journal of Advanced Research in Applied Sciences and Engineering Technology, 33(1), 53-66. https://doi.org/10.37934/araset.33.1.5366
Dewi, D., & Santoso, W. (2022). Implementation of IoT-based smart irrigation systems to improve agricultural productivity in rural areas. Journal of Agricultural Technology and Innovation, 18(2), 95-108. https://doi.org/10.1016/j.jagi.2022.05.004
Haqiq, N., Zaim, M., Bouganssa, I., Salbi, A., & Sbihi, M. (2022). AIoT with I4.0: The effect of Internet of Things and Artificial Intelligence technologies on Industry 4.0. ITM Web of Conferences, 46, 03002. https://doi.org/10.1051/itmconf/20224603002
Karsidi, R. (2001). Paradigma baru penyuluhan pembangunan dalam pemberdayaan masyarakat. Mediator: Jurnal Komunikasi, 2(1), 115-125. https://ejournal.unisba.ac.id/index.php/mediator/article/view/711/391
Mohamed Rafi, M. S., Behjati, M., & Rafsanjani, A. S. (2025). Reliable and cost-efficient IoT connectivity for smart agriculture: A comparative study of LPWAN, 5G, and hybrid connectivity models. Sensors and Actuators A: Physical, 331, 112-123. https://doi.org/10.1016/j.sna.2025.112123
Mohanty, S. P., Pallagani, V., & Khandelwal, V. (2020). sCrop: An Internet-of-Agro-Things (IoAT) enabled solar-powered smart device for automatic plant disease prediction. arXiv. https://arxiv.org/abs/2005.06342
Nunes, D., & Salgado, R. B. A. (2024). Smart agriculture: Leveraging IoT for agribusiness growth. International Telecommunication Union. https://academy.itu.int/training-courses/full-catalogue/smart-agriculture-leveraging-iot-agribusiness-growth
Roihan, M., Hasanudin, E., Sunandar, & S. R. Pratama. (2020). Perancangan purwarupa bird repellent device sebagai optimasi panen padi di bidang pertanian berbasis Internet of Things. Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputasi, 11(1), 129-134. https://doi.org/10.24176/simet.v11i1.3752
Singh, P. K., & Kumar, M. (2025). IIIT-A researchers develop AI tech for real-time crop disease detection in Indian farms. Times of India. https://timesofindia.indiatimes.com/city/allahabad/iiit-a-researchers-develop-ai-tech-for-real-time-crop-disease-detection-in-indian-farms/articleshow/123370013.cms
Soussi, A., Zero, E., Sacile, R., Trinchero, D., & Fossa, M. (2024). Smart sensors and smart data for precision agriculture: A review. Sensors, 24(8), 2647. https://doi.org/10.3390/s24082647
Sriyanto, & Setiawidayat, R. (2022). Desain dan prototipe integrasi IoT dalam pertanian hidroponik cerdas berbasis energi terbarukan. Jurnal Indonesia: Manajemen Informatika dan Komunikasi (JIMIK), 6(1), 105-112. https://doi.org/10.31219/osf.io/kcvfy
Ullo, S. L., & Sinha, G. R. (2021). Advances in IoT and smart sensors for remote sensing and agriculture applications. Remote Sensing, 13(13), 2585. https://doi.org/10.3390/rs13132585
Zhang, Y., Wang, G., & Wang, H. (2020). Artificial intelligence in agricultural production: Current status and future prospects. Journal of Integrative Agriculture, 19(5), 1204-1215. https://doi.org/10.1016/S2095-3119(19)62875-X
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