LITERATURE REVIEW: INTEGRASI CLOUD COMPUTING DAN IOT DALAM SISTEM PETERNAKAN CERDAS

Nurul Umami

Authors

Nurul Umami Institut Teknologi dan Kesehatan Aspirasi

Abstract

This study presents a literature review on the integration of the Internet of Things (IoT) and cloud computing in smart livestock management, an essential step toward improving efficiency, productivity, and sustainability in cattle farming. Ten research articles published between 2018 and 2025 were analyzed to identify the dominant IoT technologies used, the role of cloud platforms in data processing, and the key challenges encountered during implementation. The findings show that body temperature sensors, accelerometers, cameras, and RFID are the most widely adopted IoT technologies for monitoring the physiological conditions and behavioral patterns of cattle. Cloud computing serves as the core infrastructure for real-time data processing, centralized storage, information visualization, and predictive analytics. Despite its significant advantages, IoT–cloud integration still faces several challenges, including limited network connectivity, device interoperability issues, scalability constraints, and data security risks. This review highlights the considerable potential of IoT and cloud technologies in enhancing operational efficiency, enabling early disease detection, and improving animal welfare. It also underscores the need for further research to develop more comprehensive multisensor architectures and systems that are better adapted to the constraints of rural environments.

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References

Arago, N. M., Alvarez, C., Mabale, A. G., Legista, C. G., Repiso, N. E., Amado, T. M., Jorda Jr., R. L., Thio-Ac, A. C., Tolentino, L. K. S., & Velasco, J. S. 2022. Smart Dairy Cattle Farming and In-Heat Detection Through the Internet. International Journal of Integrated Engineering, 14(4): 157–172.

Busch, G., Bayer, E., Spiller, A., & Kühl, S. 2022. Factory Farming: Public Perceptions of Farm Sizes and Sustainability in Animal. PLOS Sustainability and Transformation.

Dineva, K., & Atanasova, T. 2022. Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming. Sensors, 22(17).

Idoje, G., Dagiuklas, T., & Iqbal, M. 2021. Survey for Smart Farming Technologies: Challenges and Issues. Computers and Electrical Engineering, 95: 107104.

Ivanochko, I., Greguš, M. J., & Melnyk, O. 2024. Smart Farming System Based on Cloud Computing Technologies. Procedia Computer Science, Elsevier B.V., 857–862.

Jukan, A., Carpio, F., Masip, X., Ferrer, A. J., Kemper, N., & Stetina, B. U. 2019. Fog-to-Cloud Computing for Farming: Low-Cost Technologies, Data Exchange, and Animal Welfare. Computer (Long Beach Calif), 52(10): 41–51.

Kappes, A., Tozooneyi, T., Shakil, G., Railey, A. F., McIntyre, K. M., Mayberry, D. E., Rushton, J., Pendell, D. L., & Marsh, T. L. 2023. Livestock Health and Disease Economics: A Scoping Review of Selected Literature. Frontiers in Veterinary Science.

Kurras, F., & Jakob, M. 2024. Smart Dairy Farming—The Potential of the Automatic Monitoring of Dairy Cows’ Behaviour Using a 360-Degree Camera. Animals, 14(4).

Mahbub, M. 2020. A Smart Farming Concept Based on Smart Embedded Electronics, Internet of Things and Wireless Sensor Network. Internet of Things (Elsevier), 9: 100161.

Mahendri, I. G. A. P., & Saptati, R. A. 2023. The Coverage Rate of Superior Native Chicken Vaccination and Factors Determining Farmers' Decision in the Vaccination Program. Jurnal Ilmu-Ilmu Peternakan, 136: 136–151.

Nayyar, A., & Puri, V. 2018. Smart Farming: IoT Based Smart Sensors Agriculture Stick for Live Temperature and Moisture Monitoring Using Arduino, Cloud Computing & Solar Technology. International Journal of Computer Applications & IT Research.

Osamaakbar, M., Shahbazkhan, M. S., Ali, M. J., Hussain, A., Qaiser, G., & Pasha, M. 2020. IoT for Development of Smart Dairy Farming. Wiley Hindawi.

Rahayu, R. S., & Wibowo, A. P. W. 2024. Monitoring Cattle Farms Using Cloud Computing-Based Internet of Things (IoT) Tools Using Artificial Intelligence Methods. Brilliance: Research of Artificial Intelligence, 4(1): 61–67.

Rajak, A. R. A. 2021. Emerging Technological Methods for Effective Farming by Cloud Computing and IoT. Department of Electrical and Electronics, Birla Institute of Technology & Sciences Pilani, Dubai Campus, United Arab Emirates.

Tucker, C. B., Jensen, M. B., de Passillé, A. M., Hänninen, L., & Rushen, J. 2021. Invited Review: Lying Time and the Welfare of Dairy Cows. Journal of Dairy Science, 104(1):20–46.

Uzoma, B. C., & Okhuoya, I. B. 2022. A Research on Cloud Computing. ResearchGate.

Zurnawita. 2025. Eksperimen dan Analisis Perilaku Sapi Berbasis Pengolahan Sinyal dan Teknologi Internet of Things untuk Otomasi Pengelolaan Peternakan. Universitas Andalas.