SISTEM INFORMASI dan DIGITAL INNOVATION IN SMART FARMING INDUSTRY
Kata Kunci:
SISTEM INFORMASI dan DIGITAL INNOVATION IN SMART FARMING INDUSTRYAbstrak
Dalam era digital yang terus berkembang, penerapan sistem informasi dan inovasi digital di industri pertanian pintar menjadi semakin penting. Buku ini telah menguraikan berbagai aspek, mulai dari teknologi yang mendukung pertanian presisi hingga sistem manajemen yang efisien, yang dapat meningkatkan produktivitas dan keberlanjutan. Transformasi digital dalam pertanian tidak hanya meningkatkan efisiensi operasional, tetapi juga membantu petani dalam mengambil keputusan berbasis data yang lebih baik. Dengan memanfaatkan big data, IoT, dan kecerdasan buatan, kita dapat menciptakan pertanian yang lebih cerdas, responsif, dan berkelanjutan. Kami berharap pembaca dapat mengaplikasikan pengetahuan yang diperoleh dari buku ini untuk mendukung perkembangan industri pertanian yang inovatif. Melalui kolaborasi antara teknologi dan praktik pertanian yang baik, kita dapat memastikan ketahanan pangan dan kesejahteraan petani di masa depan. Terima kasih atas perhatian Anda, dan mari bersama-sama menciptakan masa depan pertanian yang lebih baik.
Referensi
Amin, S., Khan, M. U., & Rahman, A. (2021). Smart agriculture: The integration of IoT and machine learning for improved farm management. Journal of Agricultural and Food Engineering, 9(3), 45–60.
Andi, S. (2018). Pengantar Sistem Informasi Geografis: Konsep dan Aplikasi dalam Pertanian. Jakarta: Penerbit Andi.
Arkeman, Y., Kailaku, S. I., Saefurahman, G., & Fatullah, R. (2022). Applications of the Internet of Things (IoT) and Blockchain for Agriculture in Indonesia. FFTC Journal of Agricultural Policy, 3, 57–68. https://doi.org/10.56669/ueix9487
Arza-García, M., & Burgess, A. J. (2023). Drones in the Sky: Towards a More Sustainable Agriculture. Agriculture (Switzerland), 13(1), 10–12. https://doi.org/10.3390/agriculture13010084
Ashari, M. L., & Hariani, D. (2019). Analisis Efektivitas Program Kartu Tani di Kecamatan Banjarnegara Kabupaten Banjarnegara. Journal of Public Policy and Management Review, 8(2), 1–21. https://ejournal3.undip.ac.id/index.php/jppmr/article/view/23711/21583
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805.
Aubert, B. A., Schroeder, A., & Grimaudo, J. (2012). IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology. Decision Support Systems, 54(1), 510-520.
Balafoutis, A. T., Beck, B., Fountas, S., Tsiropoulos, Z., Cavalaris, C., Vangeyte, J., & Van Der Wal, T. (2017). Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity, and Economics. Sustainability, 9(9), 1339. https://doi.org/10.3390/su9091339.
Barbosa, J. S. C., Pinto, P. A., & Vieira, S. R. (2021). Applications of Remote Sensing in Agriculture: A Review of the Tools and Techniques. Agronomy, 11(2), 281.
Basso, B., & Antle, J. (2020). Digital agriculture to design sustainable agricultural systems. Nature Sustainability, 3(4), 254–256.
Bertolini, R., Lima, J. M., & Silva, A. (2020). The impact of mobile technology on agriculture: A review. Agricultural Systems, 184, 102941.
Bronson, K., & Knezevic, I. (2020). Big data in food and agriculture. Big Data & Society, 7(1), 2053951720912808.
Budi, S. (2017). Sistem Informasi Pertanian Berbasis Web: Solusi Cerdas dalam Meningkatkan Produktivitas Petani. Yogyakarta: Gadjah Mada University Press.
Chang, S. E., Chen, Y. C., & Lu, M. F. (2020). Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process. Technological Forecasting and Social Change, 154, 119890.
Chong KL, Kanniah KD, Pohl C, Tan KP. (2017). A review of remote sensing applications for oil palm studies. Geo-Spatial Inf. Sci. 20(2):184–200
Cole, R., Stevenson, M., & Aitken, J. (2021). Blockchain technology: Implications for operations and supply chain management. Supply Chain Management: An International Journal, 26(1), 145–163.
DeLange, M., & Heijman, W. J. M. (2015). The potential of Precision Agriculture for sustainable agriculture. Agricultural Systems, 139, 1-13.
European Commission. (2017). The future of food and farming: For a more efficient, sustainable, and inclusive food system.
FAO. (2020). Innovative Approaches to Agriculture: Harnessing Technology for Food Security.
Finger, R., Swinton, S. M., El Benni, N., & Walter, A. (2019). Precision Farming at the Nexus of Agricultural Production and the Environment. Annual Review of Resource Economics, 11(1), 313-335.
Fountas, S., Carli, G., Sørensen, C. G., Tsiropoulos, Z., Cavalaris, C., Vatsanidou, A., ... & Tisseyre, B. (2015). Farm management information systems: Current situation and future perspectives. Computers and Electronics in Agriculture, 115, 40-50.
Godwin RJ, Wood GA, Taylor JC, Knight SM, Welsh JP. (2003). Precision farming of cereal crops: A review of a six year experiment to develop management guidelines. Biosyst.Eng. 84(4):375–391.
González, R., Martínez, A., & Rodríguez, J. (2021). Data privacy and security in digital agriculture platforms: An analysis of current practices. Journal of Information Privacy and Security, 17(4), 345–362.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660.
Gunawan, A. (2019). Sistem Informasi Geografis untuk Pertanian: Teori dan Praktik. Yogyakarta: Graha Ilmu.
Gupta, R., Sharma, P., & Singh, M. (2021). Enhancing farm-to-market efficiency through digital platforms: Case studies and analysis. Journal of Agricultural Economics, 72(2), 299–316.
Handoko, Y. D. (2018). Pengantar Sistem Informasi Pertanian. Surabaya: Penerbit ITS Press.
Harijani, S. R. & Sudarsono, B. (2020). Pemanfaatan Teknologi Informasi untuk Pengelolaan Lahan Pertanian Berkelanjutan. Bandung: Penerbit ITB.
Harnowo G, G W A Susanto, M S Y I Bayu, Y Prayogo, A Harsono and I M J Mejaya. 2024. The potential and prospects for the implementation of precision farming for soybean production in Indonesia. Proceeding of 13th International Conference of Green Technology (ICGT 2023). IOP Conf. Series: Earth and Environmental Science 1312 012014.
Hermawan, R, D. (2017). R. Hermawan dkk - Strategi Pengembangan Informasi Penyuluhan Pertanian Melalui Program ... 19. Agricultural Extension, 19–32.
Hidayati, N. (2021). Tantangan dan Peluang Penerapan SIG dalam Pertanian. Jurnal Pertanian Berkelanjutan, 10(2), 89-101. doi:10.1016/j.jpb.2021.02.001.
Ignatia Maria Sri Sayekti. (2021). Pemanfaatan Digital di Pertanian. In Kontan.Co.Id.
Kamilaris, A., Fonts, A., & Prenafeta-Boldú, F. X. (2019). The rise of blockchain technology in agriculture and food supply chains. Trends in Food Science & Technology, 91, 640–652.
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A Review on the Practice of Big Data Analysis in Agriculture. Computers and Electronics in Agriculture, 143, 23–37. https://doi.org/10.1016/j.compag.2017.09.037.
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture, 143, 23-37.
Kementerian Komunikasi dan Informatika Republik Indonesia. (2016). Peraturan Menteri Komunikasi dan Informatika No. 20 Tahun 2016 tentang Perlindungan Data Pribadi dalam Sistem Elektronik. https://kominfo.go.id
Kementerian Perhubungan Republik Indonesia. (2020). Peraturan Menteri Perhubungan No. 37 Tahun 2020 tentang Pengendalian Transportasi dalam Rangka Pencegahan Penyebaran COVID-19. https://jdih.dephub.go.id
Khanal S, Fulton J, Shearer S. (2017). An overview of current and potential applications of thermal remote sensing in Precision Agriculture. Comput.Electron.Agric.13922–32.
Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming, and agriculture 4.0: New contributions and a future research agenda. NJAS-Wageningen Journal of Life Sciences, 90-91, 100315.
Lajoie-O’Malley, A., Bronson, K., Burg, S., & Klerkx, L. (2020). The future(s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents. Ecosystem Services, 45, 101183.
Lestari, E. (2023). Analisis Data Geospasial untuk Peningkatan Produktivitas Pertanian. Jakarta: Pustaka Sahabat.
Liakos, K. G., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018). Machine Learning in Agriculture: A Review. Sensors, 18(8), 2674.
Lubis LM. (2024). Revolusi Pertanian Cerdas: AI dan IoT Mendorong Peningkatan Hasil Panen dan Keberlanjutan. https://www. researchgate.net/publication/381433804_Revolusi_Pertanian_Cerdas_AI_dan_IoT_Mendorong_Peningkatan_Hasil_Panen_dan_Keberlanjutan
Mahlein, A. K. (2016). Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping. Plant Disease, 100(2), 241-251.
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute Report.
Mulla DJ. (2013). Twenty five years of remote sensing in Precision Agriculture: Key advances and remaining knowledge gaps. Biosyst.Eng. 114(4):358–371
Nugroho, A., & Tasya. (2023). Menilik Potensi Pemanfaatan Artificial Intelligence (AI) dalam Ragam Sektor di Indonesia. In Berita UGM. https://ugm.ac.id/id/berita/menilik-potensi-pemanfaat an-artificial-intelligence-ai-dalam-ragam-sektor-di-indonesia/
Pierpaoli E, Carli G, Pignatti E, Canavari M. (2013). Drivers of Precision Agriculture Technologies Adoption: A Literature Review. Procedia Technol. 8 (Haicta): 61–69.
Pierpaoli, E., Carli, G., Pignatti, E., & Canavari, M. (2013). Drivers of Precision Agriculture Technologies Adoption: A Literature Review. Procedia Technology, 8, 61-69.
Puri, V., Dev, R., & Siwach, A. K. (2021). Challenges and opportunities in smart farming using IoT: A review. Renewable and Sustainable Energy Reviews, 149, 111–118.
Pusat Perpustakaan dan Penyebaran Teknologi Pertanian. (2024). Info Teknologi: Peluang dan Potensi Petani Milenial Manfaatkan Smart Farming 4.0. In Kementrian Pertanian Rebublik Indonesia. https://pustaka.setjen.pertanian.go.id/info-literasi/info-teknologi-peluang-dan-potensi-petani-milenial-manfaatkan-smart-farming-4-0
Republik Indonesia. (2008). Undang-Undang Nomor 14 Tahun 2008 tentang Keterbukaan Informasi Publik. https://www.dpr.go.id
Republik Indonesia. (2019). Peraturan Pemerintah Nomor 71 Tahun 2019 tentang Penyelenggaraan Sistem dan Transaksi Elektronik. https://peraturan.bpk.go.id
Republik Indonesia. (2019). Undang-Undang No. 22 Tahun 2019 tentang Sistem Budi Daya Pertanian Berkelanjutan. https://www.dpr.go.id
Republik Indonesia. (2022). Undang-Undang Nomor 27 Tahun 2022 tentang Perlindungan Data Pribadi. https://www.dpr.go.id
Rose, D. C., Wheeler, R., Winter, M., Lobley, M., & Chivers, C. A. (2021). Agriculture 4.0: Making it work for people, production, and the planet. Land Use Policy, 100, 104933.
Sharma, S., Kumar, M., & Mehta, R. (2020). AgroMarketplace: An innovative approach to connecting farmers with consumers. International Journal of Agribusiness, 14(2), 76–89.
Sheng, J., Amankwah-Amoah, J., Khan, Z., & Wang, X. (2020). COVID-19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions. British Journal of Management, 31(4), 930–946. https://doi.org/10.1111/1467-8551.12441.
Shepherd, M., Turner, J. A., Small, B., & Wheeler, D. (2020). Priorities for science to overcome hurdles thwarting the full promise of the ‘digital agriculture’ revolution. Journal of the Science of Food and Agriculture, 100(14), 5083–5092.
Sishodia, R. P., Ray, R. L., & Singh, S. K. (2020). Applications of remote sensing in precision agriculture: A review. Remote Sensing, 12(19), 3136.
Sondakh, J., & Rembang, J. H. (2021). Karakteristik, Potensi Generasi Milenial, dan Perspektif Pengembangan Pertanian Presisi di Indonesia. Forum Penelitian Agro Ekonomi, 38(2), 157-169.
Tian, F. (2019). An agri-food supply chain traceability system for China based on RFID & blockchain technology. Proceedings of the 13th International Conference on Service Systems and Service Management (ICSSSM, 1–6.
Tripoli, M., & Schmidhuber, J. (2020). Emerging opportunities for the application of blockchain in the agri-food industry. FAO and ICTSD Report.
Wardani, G.T. 2024. Potensi Gen Z dalam Pengembangan Teknologi Berbasis Sistem Pertanian Presisi Guna Meningkatkan Produktivitas Pertanian di Indonesia. FLORA: Journal of Agricultural and Plantation Studies. 1(2): 22-31.
Wiswani Wacika, M., & Ayu Dian Sawitri, D. (2023). Peran Teknologi Dalam Transformasi Ketenagakerjaan: Analisis Dampak Dan Tantangan Di Era Digital. Jurnal Kertha Wicara, 12(02), 88–101. https://databoks.katadata.co.id/datapublish/2022/04/29/kemnaker-prediksi-pekerja-it-kian-
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big Data in Smart Farming – A review. Agricultural Systems, 153, 69-80.
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017). Big Data in Smart Farming–A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023.
Yudo Setyawan, D., & Marjunus, R. (2024). Automasi dan Internet of Things (IoT) pada Pertanian Cerdas: review artikel pada Jurnal Terakreditasi Kemenristek. Prosiding …, April, 9.
Zhang, C., & Kovacs, J. M. (2012). The application of small unmanned aerial systems for precision agriculture: A review. Precision Agriculture, 13(6), 693-712.
Zhang, X., Wang, M., & Zhu, X. (2019). Opportunities and Challenges for Smart Agriculture: A Review. IEEE Access, 7, 47200–47224. https://doi.org/10.1109/ACCESS.2019.2905346.
Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., & Boshkoska, B. M. (2020). Blockchain technology in agri-food value chain management: A synthesis of applications, challenges, and future research directions. Computers in Industry, 109, 83–99.