IoT Based Monitoring of Fertilizer Production from Livestock Manure
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Abstract
Amazon Web Services (AWS) is a cloud computing platform provided by Amazon. Docker is an open-source platform that enables developers to automate the deployment of applications within containers. Containers represent a modern virtualization technology, simplifying the task for system administrators to manage applications on servers. Docker containers can be used to build, prepare, and run applications. The Internet of Things (IoT) is a concept in which physical devices—equipped with sensors, software, and other technologies—connect to the internet to exchange data. IoT technology is increasingly being utilized in the development of various systems, including those designed for processing fertilizer from livestock manure. Currently, the inefficient processing of fertilizer from livestock manure creates environmental problems. Leveraging IoT for the management of livestock manure offers a solution to enhance agricultural productivity while mitigating the negative environmental impact of livestock waste. Implementing AWS and Docker within a system for processing fertilizer from livestock manure can serve as an effective solution for real-time data processing and storage.
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References
I. L. Tbn, A. Pranata, and M. Gilang Suryanata, “Implementasi Internet of Tings (IOT) Pada Pengolahan Pupuk Organik Dari Limbah Kotoran Sapi Berbasis Nodemcu,” J. CyberTech, vol. 3, no. 10, p. 1596, 2020.
A. E. Naconha, “Implementasi Aplikasi Android Untuk Alat Pengolahan Pupuk Kompos Dari Kotoran Kelinci,” vol. 4, no. 1, p. 6, 2021.
D. Widianto, D. Jurusan, T. Sistem, P. Suhu, and K. Kelinci, “Alat pengolahan kotoran kelinci menjadi pupuk kompos berbasis blynk”.
S. Farizy and E. S. Eriana, Cloud Computing Komputasi Awan, no. 1. 2011.
A. Budiyanto, “Pengantar Cloud Computing,” p. 10, 2012, [Online]. Available: http://www.cloudindonesia.or.id/wp-content/uploads/2012/05/E-Book-Pengantar-Cloud-Computing-R1.pdf
R. Khalida, A. Muhajirin, and S. Setiawati, “Teknis Kerja Docker Container untuk Optimalisasi Penyebaran Aplikasi,” PIKSEL Penelit. Ilmu Komput. Sist. Embed. Log., vol. 7, no. 2, pp. 167–176, 2019, doi: 10.33558/piksel.v7i2.1819.
F. Susanto, N. K. Prasiani, and P. Darmawan, “Implementasi Internet of Things Dalam Kehidupan Sehari-Hari,” J. Imagine, vol. 2, no. 1, pp. 35–40, 2022, doi: 10.35886/imagine.v2i1.329.
T. Suryana, “Capacitive Soil Moisture Sensor Untuk Mengukur Kelembaban Tanah,” J. Komputa Unikom 2021, pp. 1–22, 2021, [Online]. Available: https://repository.unikom.ac.id/68742/1/Mengukur Kelembaban Tanah dengan Capacitive Soil moisture sensor.pdf
N. Indrihastuti, A. Thohirin, and D. Karsina, “Perencanaan Pengisi Daya Sederhana Memanfaatkan Dinamo Sepeda,” J. Cahaya Bagaskara, vol. 4, no. 1, pp. 7–10, 2019.
M. Shafira, H. Amnur, and R. Afyenni, "Load Balancing Menggunakan Algoritma Round Robin Dengan Stickness Pada AWS", JITSI J.Ilm. Teknol. Sist. Inf., vol.2, no.4,pp 116-123, 2021, doi : 10.30630/jitsi.2.4.48
F. Amaliah, Isnawaty, and Subardin, “Monitoring Suhu Dan Kelembaban Proses Dekomposisi Pupuk Kompos Berbasis Android,” semanTIK, vol. 6, no. 1, pp. 31–38, 2020, [Online]. http://ojs.uho.ac.id/index.php/semantik/article/view/7521 Available: [3] D. Widianto, D. Jurusan, T. Sistem, P. Suhu, and K. Kelinci, “Alat pengolahan kotoran kelinci menjadi pupuk kompos berbasis blynk”.
R. Gunawan, T. Andhika, . S., and F. Hibatulloh, “Monitoring System for Soil Moisture, Temperature, pH and Automatic Watering of Tomato Plants Based on Internet of Things,” Telekontran J. Ilm. Telekomun. Kendali dan Elektron. Terap., vol. 7, no. 1, pp. 66–78, 2019, doi: 10.34010/telekontran.v7i1.1640.