Penyuluhan Pemanfaatan Teknologi IoT dan AI pada Pertanian Melom Premium kepada Kelompok Satria Tani Hanggawana Kabupaten Tegal

Nurfahmi Fadlillah; Nurhadi Kamaluddin

doi:10.61132/bumi.v3i3.1031

Authors

Nurfahmi Fadlillah Universitas Muhammadiyah Tegal
Nurhadi Kamaluddin Universitas Muhammadiyah Tegal

DOI:

https://doi.org/10.61132/bumi.v3i3.1031

Keywords:

AI, IoT, Smart Farming, Premium Melon

Abstract

The agricultural sector has a vital role in meeting national food needs, improving community welfare, and strengthening regional food security. However, the sector still faces various challenges, including land limitations, climate change, price fluctuations, and low production cost efficiency. Therefore, innovation is needed through the application of digital technology that is able to increase the productivity and sustainability of farming businesses. One of the solutions offered is the use of Artificial Intelligence of Things (AIoT), which is the integration of artificial intelligence (AI) with the Internet of Things (IoT) that allows agricultural systems to run more intelligently, efficiently, and scalably. This community service activity was carried out with the Satria Tani Hanggawana Farmers Group located in Kalisapu Village, Slawi District, Tegal Regency, with the main focus on premium melon cultivation. The method of the activity included material presentations on the concept of smart farming, the introduction of IoT-based sensor devices for monitoring temperature, humidity, and plant nutrition, field practices in greenhouses, simulations of the use of AI-based applications for crop prediction, and interactive discussions. In addition, material was also provided on simple agribusiness management, financial recording, and crop marketing strategies so that farmers are able to manage their businesses more professionally. The results of the activity showed a significant increase in participants' knowledge related to the application of AIoT in modern agriculture. Farmers not only understand the benefits of technology, but are also able to practice using tools and applications directly. The enthusiasm of the participants was reflected in their active involvement in discussions, willingness to try new technologies, and awareness of the importance of innovation to face agricultural challenges in the digital era.

References

Alam, R. L., & Nasuha, A. (2020). Sistem pengendali pH air dan pemantauan lingkungan tanaman hidroponik menggunakan fuzzy logic berbasis IoT. Elinvo (Electronics, Informatics, and Vocational Education), 5(1), 11–20. https://doi.org/10.21831/elinvo.v5i1.34587

Ariawan, A. (2024). Smart sprout: Irigasi cerdas berbasis AIoT untuk pertanian modern dan ramah lingkungan. bit-Tech Journal, 3(1), 55–62.

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

Chaterji, S., DeLay, N., Evans, J., Mosier, N., Engel, B., Buckmaster, D., & Chandra, R. (2020). Artificial intelligence for digital agriculture at scale: Techniques, policies, and challenges. arXiv. https://arxiv.org/abs/2001.09786

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 the 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

Liu, X. (2020). Penerapan artificial intelligence untuk meningkatkan produktivitas dan keberlanjutan pertanian di Indonesia. Scribd. https://id.scribd.com/document/841749863

Mohammed, B., Bekkay, H., Migan-Dubois, A., Adel, M., & Rabhi, A. (2021). An intelligent irrigation system based on fuzzy logic control: A case study for Moroccan oriental climate region. Journal of Electrical Systems, 17(2), 168–178.

Muhammed, D., Ahvar, E., Ahvar, S., Trocan, M., Montpetit, M. J., & Ehsani, R. (2024). Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions. Academic Press.

Roihan, M., Hasanudin, E., Sunandar, & Pratama, S. R. (2020). Perancangan purwarupa bird repellent device sebagai optimasi panen padi di bidang pertanian berbasis Internet of Things. Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 11(1), 129–134. https://doi.org/10.24176/simet.v11i1.3752

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, A., Wang, H., & Zhang, Z. (2020). The role of smart farming in sustainable agriculture: A review. Agricultural Systems, 178, 102733. https://doi.org/10.1016/j.agsy.2019.102733

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