Analisis Prioritas Kesiapan Adopsi Integrasi Artificial Intelligence dan Blockchain dalam Rantai Pasok Kelapa Indonesia Menggunakan Metode Analytical Hierarchy Process
DOI:
https://doi.org/10.61124/sinta.v3i2.220Keywords:
AHP, artificial intelligence, blockchain, kesiapan adopsi, rantai pasok kelapaAbstract
Indonesia sebagai produsen kelapa terbesar kedua di dunia menghadapi tantangan serius dalam inefisiensi rantai pasok yang mencakup ketidaktransparanan harga, lemahnya keterlacakan produk, serta kesenjangan kapasitas digital di antara aktor-aktornya. Integrasi teknologi artificial intelligence (AI) dan blockchain dipandang sebagai solusi transformatif, namun tingkat kesiapan adopsi pada berbagai segmen stakeholder belum teridentifikasi secara terstruktur. Penelitian ini bertujuan untuk mengidentifikasi dan memprioritaskan kriteria kesiapan adopsi integrasi AI dan blockchain dalam ekosistem rantai pasok kelapa Indonesia. Metode Analytical Hierarchy Process (AHP) digunakan untuk menganalisis dan menyintesis perspektif dari 18 responden yang merepresentasikan enam kelompok stakeholder, yaitu pemerintah daerah, industri pengolah kelapa, pengepul, pemasok kopra, petani, dan asosiasi. Hasil analisis menunjukkan bahwa kriteria Manfaat & Nilai Tambah (C5) memperoleh bobot tertinggi sebesar 50,12%, diikuti Kesiapan SDM (C1) sebesar 19,88%, Kesiapan Finansial (C4) sebesar 14,58%, Infrastruktur Teknologi (C2) sebesar 9,63%, dan Dukungan Regulasi & Kebijakan (C3) sebesar 5,79%. Nilai Consistency Ratio (CR) sebesar 0,0183 mengonfirmasi validitas dan konsistensi penilaian. Temuan ini mengimplikasikan bahwa strategi adopsi teknologi harus diprioritaskan melalui demonstrasi manfaat konkret dan penguatan kapasitas sumber daya manusia di seluruh lapisan rantai pasok kelapa Indonesia.
References
Direktorat Jenderal Perkebunan, "Statistik Perkebunan Indonesia: Kelapa 2020–2022," Kementerian Pertanian Republik Indonesia, Jakarta, 2023.
S. Saptana dan A. Daryanto, "Dinamika Rantai Pasok Kelapa dan Strategi Peningkatan Nilai Tambah di Indonesia," J. Agro Ekon., vol. 38, no. 2, pp. 89–112, 2020.
M. Kamble, A. Gunasekaran, dan R. Sharma, "Modeling the blockchain enabled traceability in agriculture supply chain," Int. J. Inf. Manag., vol. 52, p. 101967, 2020, doi: 10.1016/j.ijinfomgt.2019.05.023.
A. Tripoli dan J. Schmidhuber, "Emerging Opportunities for the Application of Blockchain in the Agri-food Industry," Food and Agriculture Organization of the United Nations (FAO) & International Centre for Trade and Sustainable Development (ICTSD), Rome, 2018.
B. Astuti, R. Saleh, dan N. Winarno, "Barrier Analysis of Digital Technology Adoption in Indonesian Smallholder Coconut Farming," J. Teknol. Pertanian, vol. 22, no. 1, pp. 45–58, 2021.
T. L. Saaty, "Decision making with the analytic hierarchy process," Int. J. Serv. Sci., vol. 1, no. 1, pp. 83–98, 2008, doi: 10.1504/IJSSCI.2008.017590.
M. Luthra, D. Kumar, S. Kumar, dan A. Haleem, "Barriers to renewable / sustainable energy technologies adoption: Indian perspective using interpretive structure modelling," Renew. Sustain. Energy Rev., vol. 41, pp. 762–776, 2015.
S. Mangla, P. Kumar, dan M. Barua, "Flexible decision approach for analysing performance of supply chains under risks/uncertainty," Glob. J. Flex. Syst. Manag., vol. 15, no. 2, pp. 169–182, 2014.
F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Q., vol. 13, no. 3, pp. 319–340, 1989.
R. Hidayat, A. Nugroho, dan B. Santoso, "Digital Literacy and Technology Adoption among Smallholder Farmers in Eastern Indonesia," Asian J. Agric. Dev., vol. 18, no. 2, pp. 33–52, 2021.
T. Nguyen dan L. Tran, "Government-Private Co-investment in Blockchain for Coffee Supply Chain Traceability in Vietnam," J. Agribusiness Dev. Emerg. Econ., vol. 12, no. 4, pp. 521–540, 2022.
K. Acheampong, P. Ankomah, dan E. Asante, "Digital Infrastructure Bottlenecks in Cocoa Supply Chain Blockchain Adoption: Evidence from Ghana," Afr. J. Sci. Technol. Innov. Dev., vol. 14, no. 3, pp. 712–725, 2022.
A. Rejeb, J. G. Keogh, dan H. Treiblmaier, "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, vol. 11, no. 7, p. 161, 2019, doi: 10.3390/fi11070161.
S. F. Wamba, M. M. Queiroz, dan L. Trinchera, "Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation," Int. J. Prod. Econ., vol. 229, p. 107791, 2020, doi: 10.1016/j.ijpe.2020.107791.
V. Kumar dan R. Singh, "Prioritizing barriers to AI adoption in agri-food supply chains: An AHP analysis from India’s rice sector," Comput. Electron. Agric., vol. 198, p. 107058, 2022, doi: 10.1016/j.compag.2022.107058.
N. Kshetri, "Blockchain’s roles in meeting key supply chain management objectives," Int. J. Inf. Manag., vol. 39, pp. 80–89, 2018, doi: 10.1016/j.ijinfomgt.2017.12.005.
S. Saurabh dan K. Dey, "Blockchain technology adoption, architecture, and sustainable agri-food supply chains," J. Clean. Prod., vol. 284, p. 124731, 2021, doi: 10.1016/j.jclepro.2020.124731.
L. Ge, A. Brewster, J. Spek, A. Smeenk, dan J. Top, "Blockchain for agriculture and food: Findings from the pilot study," Wageningen Economic Research Report 2017-112, Wageningen University & Research, Wageningen, 2017.
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Copyright (c) 2026 Muhammad Syukur Sarfat, Yandra Arkeman, Anas Miftah Fauzi, Dwi Setyaningsih, Zaky Abdul Haris, Devara Adhi Prasetya, Jorrit de Boer
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