Integrated agricultural development real time analysis based on Internet of Things in Jenggawah Village

Authors

  • Widjonarko Department of Electrical Engineering, Faculty of Engineering, Jember University
  • Muh. Asnoer Laagu Department of Electrical Engineering, Faculty of Engineering, Jember University https://orcid.org/0000-0003-0859-6403
  • Ali Rizal Chaidir Department of Electrical Engineering, Faculty of Engineering, Jember University https://orcid.org/0009-0006-8972-791X
  • Muhamad Ali Yafi Department of Electrical Engineering, Faculty of Engineering, Jember University
  • Indra Viktorrisman Department of Electrical Engineering, Faculty of Engineering, Jember University https://orcid.org/0009-0005-5618-697X

DOI:

https://doi.org/10.26905/abdimas.v10i3.15228

Keywords:

Digitalization of agriculture, Precision agriculture, Real time analysis

Abstract

Jenggawah Village, Jember Regency is a lowland area with great potential as an agricultural barn. However, the abundance of agricultural commodities has not been balanced with the application of modern technology, so that productivity is disrupted by conventional methods and unpredictable climate change. To overcome this, an integrated agricultural system based on the Internet of Things (IoT) was implemented through a real-time analysis method to predict climate and monitor land conditions. This program includes surveys, system design, installation of monitoring tools, and socialization of precision agricultural technology. This system uses five main sensors (soil moisture, light intensity, rainfall, wind speed, and air quality) connected to a mobile website, allowing farmers to monitor their land in real time. In testing, the monitoring tool recorded daily energy consumption of 136.32 Wh, supported by a 100 Wp solar panel and a 56.8 Ah battery. This program is accompanied by training and technology transfer to farmers to increase productivity, soft skills, and welfare. As a result, the community accepted the technology well, accelerated the digitalization of agriculture, and made Jenggawah Village a pilot model for the application of precision agricultural technology in other areas.

Downloads

Download data is not yet available.

References

Akhtar, M. N., Shaikh, A. J., Khan, A., Awais, H., Bakar, E. A., & Othman, A. R. (2021). Smart sensing with edge computing in precision agriculture for soil assessment and heavy metal monitoring: A review. Agriculture, 11(6), 475. https://doi.org/10.3390/agriculture11060475

Badan Pusat Statistik Kabupaten Jember. (2020). Kecamatan Jenggawah dalam angka 2020. Badan Pusat Statistik Kabupaten Jember. Retrieved from: https://jemberkab.bps.go.id/id/publication/2020/09/28/a9190bb16b22ca5baac4a124/kecamatan-jenggawah-dalam-angka-2020.html

Balamurali, D., Chakankar, S., Sharma, G., Pagey, A. P., Natarajan, M., Shaik, S., ... & Arıcı, M. (2025). A solar-powered, internet of things (IoT)-controlled water irrigation system supported by rainfall forecasts utilizing aerosols: a review. Environment, Development and Sustainability, 1-40. https://doi.org/10.1007/s10668-024-05953-z

Barik, S., & Naz, S. (2021, February). Smart agriculture using wireless sensor monitoring network powered by solar energy. In 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 983–988. https://doi.org/10.1109/ICCCIS51004.2021.9397111

Data, M., Yahya, W., & Kurniawan, A. (2020). Implementasi Teknologi virtualisasi berbasis kontainer untuk perangkat Internet of Things pada pertanian presisi. CYBERNETICS, 3(01), 1-7. http://dx.doi.org/10.29406/cbn.v3i01.1448

Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart farming: Internet of Things (IoT)-based sustainable agriculture. Agriculture, 12(10), 1745. https://doi.org/10.3390/agriculture12101745

Higashiura, Y., & Yamamoto, H. (2021). Large-scale farm sensing system using UAV and long-distance wireless communication. In International Conference on Information Networking, 2021-January, 225–230. https://doi.org/10.1109/ICOIN50884.2021.9333946

Li, Y., & Yang, J. (2021). Meta-learning baselines and database for few-shot classification in agriculture. Computers and Electronics in Agriculture, 182, 106055. https://doi.org/10.1016/j.compag.2021.106055

Nugroho, L. E., Pratama, A. G. H., Mustika, I. W., & Ferdiana, R. (2017). Development of monitoring system for smart farming using Progressive Web App. In 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017, 2018-January, 1–5. https://doi.org/10.1109/ICITEED.2017.8250513

Raj, M., Gupta, S., Chamola, V., Elhence, A., Garg, T., Atiquzzaman, M., & Niyato, D. (2021). A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0. Journal of Network and Computer Applications, 187, 103107. https://doi.org/10.1016/j.jnca.2021.103107

Risnandar, M. A., Rahayu, A. U., & Taufiqurrahman, I. (2021). Analisis konsumsi energi listrik penebar pakan ikan otomatis dengan pemanfaatan tenaga surya. E-JOINT (Electronica and Electrical Journal of Innovation Technology), 2(2), 77–80. https://doi.org/10.35970/e-joint.v2i2.1077

Sanjeevi, P., Prasanna, S., Siva Kumar, B., Gunasekaran, G., Alagiri, I., & Vijay Anand, R. (2020). Precision agriculture and farming using Internet of Things based on wireless sensor network. Transactions on Emerging Telecommunications Technologies, 31(12), 1–14. https://doi.org/10.1002/ett.3978

Santoso, G., Hani, S., & Putra, U. D. (2022). Monitoring kualitas tanah lahan pertanian Desa Sidorejo menggunakan sensor pH tanah dan Internet of Things. Jurnal Nusantara Mengabdi, 2(1), 1-10. https://doi.org/10.35912/jnm.v2i1.1387

Sari, D. P. (2021). Prototype alat monitoring suhu, kelembaban dan kecepatan angin untuk smart farming menggunakan komunikasi lora dengan daya Listrik menggunakan panel surya. Kilat, 10(2), 370-380. https://doi.org/10.33322/kilat.v10i2.1376

Sharma, K., & Shivandu, S. K. (2024). Integrating artificial intelligence and Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture. Sensors International, 5, 100292. https://doi.org/10.1016/j.sintl.2024.100292

Wang, Y., Huang, Y., & Song, C. (2019). A new smart sensing system using LoRaWAN for environmental monitoring. In 2019 Computing, Communications and IoT Applications, ComComAp 2019, 347–351. https://doi.org/10.1109/ComComAp46287.2019.9018829

Downloads

Published

2025-08-30

How to Cite

Widjonarko, Muh. Asnoer Laagu, Chaidir, A. R., Muhamad Ali Yafi, & Indra Viktorrisman. (2025). Integrated agricultural development real time analysis based on Internet of Things in Jenggawah Village. Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang, 10(3), 612–626. https://doi.org/10.26905/abdimas.v10i3.15228

Issue

Section

Natural Science and Technology