Analisis Penerapan Sistem Informasi Agribisnis Berbasis Digital dalam Mendukung Keputusan Usaha Tani di Desa Ronowijayan
Keywords:
Agribusiness Information Systems, Agricultural Digitalization, Digital Technology, Farming Decisions, Rural AgribusinessAbstract
The development of digital technology in the agricultural sector has encouraged the transformation of agribusiness management systems toward more effective and data-based management. This study aims to analyze the implementation of digital-based agribusiness information systems in supporting farming decision-making in Ronowijayan Village. This research used a quantitative descriptive approach with survey methods. The research subjects were farmers who had utilized digital technology in agricultural activities. Data collection techniques were carried out through observation, interviews, questionnaires, and documentation. Data analysis techniques used descriptive statistics and simple linear regression analysis. The results showed that the implementation of digital-based agribusiness information systems in Ronowijayan Village had begun to develop through the use of smartphones, social media, weather applications, online marketing platforms, and WhatsApp farmer communication groups. The digital agribusiness information system has an important role in supporting farming decisions, especially in determining planting time, marketing strategies, commodity selection, and farm management efficiency. Supporting factors for digital implementation include smartphone ownership, internet availability, farmer motivation, and farmer group support. Meanwhile, inhibiting factors include low digital literacy, unstable internet networks, lack of technological training, and farmer age factors. The study concludes that digital-based agribusiness information systems have a positive effect on improving the effectiveness of farming decisions in rural communities.
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References
Arikunto, S. (2019). Prosedur penelitian: Suatu pendekatan praktik (Revisi). Rineka Cipta.
Ayim, C., Kassahun, A., Tekinerdogan, B., & Addison, C. (2020). Adoption of ICT innovations in the agriculture sector in Africa: A systematic literature review. Procedia Computer Science, 177, 52–59.
Babbie, E. (2016). The practice of social research (14th ed.). Cengage Learning.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26 (10th ed.). Badan Penerbit Universitas Diponegoro.
Gunadhi, E., & Bustomi, M. Y. (2019). Sistem informasi agribisnis kopi berbasis Android. Jurnal Algoritma, 16(1), 18–26.
Inti, R. W., Mahdani, H. B., Setiawan, D., Widya, S. A., & Giawa, T. J. (2022). The effect of access to digital-based market information on sustainable agriculture decisions. Media Agribisnis, 9(1), 12–24.
Kamilaris, A., Fonts, A., & Prenafeta-Boldu, F. X. (2019). The rise of blockchain technology in agriculture and food supply chains. Trends in Food Science & Technology, 91, 640–652.
Laudon, K. C., & Laudon, J. P. (2020). Management information systems: Managing the digital firm (16th ed.). Pearson.
Moleong, L. J. (2017). Metodologi penelitian kualitatif (Edisi revisi). PT Remaja Rosdakarya.
Neuman, W. L. (2014). Social research methods: Qualitative and quantitative approaches (7th ed.). Pearson Education.
Rogers, E. M. (2015). Diffusion of innovations (5th ed.). Free Press.
Shodiq, A. R. A. R., Priatna, W. B., & Kusnadi, N. (2018). Perancangan sistem informasi agribisnis kedelai berbasis web di Kabupaten Grobogan, Jawa Tengah. Jurnal IPTEKKOM, 20(2), 121–136.
Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Wahyuni, D., & Rezky, S. F. (2021). Perancangan sistem informasi agribisnis berbasis e-commerce (Studi kasus kelompok tani Sri Rezki). Journal of Information Technology and Accounting, 2(1), 29–41.
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80.
Zhang, Y., Wang, G., Wang, J., & Liu, X. (2021). Smart agriculture information system based on IoT. Computers and Electronics in Agriculture, 180, 105889.
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