Development of a Smart Coffee Model Based on the Internet of Things (IoT) in West Java Province

Tashia Indah Nastiti; Sintha Wahjusaputri; Bunyamin Bunyamin; Johan Johan

doi:10.30865/jurikom.v12i6.8786

Authors

Tashia Indah Nastiti Universitas Indraprasta PGRI, Jakarta
Sintha Wahjusaputri Universitas Muhammadiyah Prof. Dr Hamka, Jakarta
Bunyamin Bunyamin Universitas Muhammadiyah Prof. Dr Hamka, Jakarta
Johan Johan Universitas Muhammadiyah Cirebon, Jawa Barat

DOI:

https://doi.org/10.30865/jurikom.v12i6.8786

Keywords:

Smart Coffee, Monitoring, Internet of Things, Coffee, IoT

Abstract

Coffee cultivation in fertile regions such as Ciniru District, Kuningan Regency, is still predominantly carried out manually, lacking adequate technological support. However, coffee plants require intensive monitoring of environmental conditions to ensure optimal productivity and quality. The absence of technology adoption in farming practices results in inefficiencies and makes the cultivation process vulnerable to pests and climate-related disruptions. This study aims to develop a smart monitoring system for coffee plantations in Gunung Manik Village, utilizing an Internet of Things (IoT)-based Smart Coffee model. The system is designed to assist coffee farmers in Kuningan in improving yields and providing guidance for crop management through real-time monitoring of soil moisture, environmental temperature, and pest activity. An experimental method was employed in this research, where data is transmitted via radio frequency to a gateway and subsequently forwarded to middleware for further processing. The processed data is then visualized through a dashboard and a mobile-based application. Currently, the system is focused on a single variety of coffee plants. The results demonstrate that the system provides accurate data for irrigation and fertilization scheduling, as well as notifications regarding plant conditions, growth stages, and cultivation status. In conclusion, the coffee plant monitoring system offers a practical digital solution for farmers and is expected to enhance agricultural productivity through the integration of information technology.

References

[1] E. Djuwendah, T. Karyani, A. H. Sadeli, and K. Kusno, “Agroindustrialisasi Kopi Arabika Java Preanger Di Desa Margamulya Kecamatan Pangalengan Kabupaten Bandung,” Agricore J. Agribisnis dan Sos. Ekon. Pertan. Unpad, vol. 3, no. 1, 2019, doi: 10.24198/agricore.v3i1.17860.

[2] F. Tampubolon, Y. Pratama, and I. G. E. Dirgayussa, “Perancangan, Implementasi Monitoring dan Kontrol Alat Pemanggang Kopi,” Elkha, vol. 12, no. 2, p. 69, 2020, doi: 10.26418/elkha.v12i2.41188.

[3] M. A. Anugerah, Ruslan, and S. G. Zain, “Pengembangan Smart Fitting Berbasis Iot ( Internet of Things ) Dengan Menggunakan Mikrokontroler Esp 32 S Development of Smart Fittings Based on Iot ( Internet of Things ) Using Esp 32 S Microcontroller,” J. MEDIA Elektr., vol. 19, no. 2, pp. 60–70, 2022.

[4] A. Khumaidi, “Sistem Monitoring dan Kontrol Berbasis Internet of Things untuk Penghematan Listrik pada Food and Beverage,” J. Ilm. Merpati (Menara Penelit. Akad. Teknol. Informasi), vol. 8, no. 3, p. 168, 2020, doi: 10.24843/jim.2020.v08.i03.p02.

[5] A. L. Arda, “Rancang Bangun Smart Coffee Roasters Berbasis Mikrokontroller,” J. It, vol. 10, no. 1, pp. 73–82, 2019, doi: 10.37639/jti.v10i1.76.

[6] R. Selvanarayanan, S. Rajendran, S. Algburi, O. Khalaf, and H. Hamam, “Empowering coffee farming using counterfactual recommendation based RNN driven IoT integrated soil quality command system,” Sci. Rep., vol. 14, Mar. 2024, doi: 10.1038/s41598-024-56954-x.

[7] E. Rosdiana, F. Y. Ali, E. R. Pristiwaningsih, and R. Purbaningtyas, “IoT for Agricultural Innovation : Enhancing Robusta Coffee Seedling Growth in Controlled Environments with Intelligent Air Quality Control System ( IAQCS ),” vol. 2, no. 1, pp. 1–9, 2025.

[8] X. Zhang, G. Feng, and X. Sun, “Advanced technologies of soil moisture monitoring in precision agriculture: A Review,” J. Agric. Food Res., vol. 18, p. 101473, 2024, doi: https://doi.org/10.1016/j.jafr.2024.101473.

[9] J. P. Rodríguez, A. I. Montoya-Munoz, C. Rodriguez-Pabon, J. Hoyos, and J. C. Corrales, “IoT-Agro: A smart farming system to Colombian coffee farms,” Comput. Electron. Agric., vol. 190, p. 106442, 2021, doi: https://doi.org/10.1016/j.compag.2021.106442.

[10] A. Nayyar, D.-N. Le, and A. Sharma, “Smart irrigation system using IoT and cloud computing,” in Advances in Intelligent Systems and Computing, vol. 1024, D.-N. Le and A. Nayyar, Eds. Springer, 2020, pp. 349–359. doi: 10.1007/978-3-030-27750-0_33.

[11] M. S. Mekala and P. Viswanathan, “A Survey: Smart Agriculture IoT with Cloud Computing,” in 2017 International Conference on Microelectronic Devices, Circuits and Systems (ICMDCS), 2017, pp. 1–7. doi: 10.1109/ICMDCS.2017.8211551.

[12] N. Patel, R. Parikh, D. Patel, and N. Prajapati, “IoT Based Smart Agriculture Monitoring System,” Int. J. Comput. Appl., vol. 180, no. 38, pp. 29–32, 2018, doi: 10.5120/ijca2018917204.

[13] M. Kumar and R. Sudhakar, “IoT Based Smart Agriculture Monitoring System,” Int. J. Eng. Adv. Technol., vol. 9, no. 1, pp. 5104–5108, 2019, doi: 10.35940/ijeat.A1852.109119.