Optimization of agricultural supply chain through a crop distribution center for economic empowerment towards a smart city
DOI:
https://doi.org/10.61511/jassu.v4i1.2026.2349Keywords:
farmers, smart city, supply chainAbstract
Background: The agricultural sector is vital to Indonesia's economy, yet farmer welfare remains low due to long, inefficient distribution chains that limit their income and create dependency on intermediaries. High poverty rates and a lack of formal protection plague farming households, preventing them from receiving fair economic value for their products. This study aims to design and develop a digital solution that positions farmers as key players in the agricultural supply chain, breaking their dependence on conventional systems. Methods: This research utilized a combined methodological approach, integrating Research and Development (R&D) to design the innovation and the Waterfall model for the structured development of the digital system. Data collection was performed using a mixed-methods approach, involving quantitative surveys to assess farmers' needs and qualitative interviews to understand supply chain challenges. Findings: The primary outcome is an integrated digital marketplace and physical crop distribution center. This system enables direct B2C (Business-to-Consumer) sales from farmers to consumers, with proceeds transferred immediately to their accounts. The application prototype was tested with target users, achieving a high success rate of 83.33% based on the System Usability Scale (SUS), which validates the design's effectiveness and intuitive user experience. Conclusion: The integrated platform represents a feasible solution to improve farmers' market access and agricultural distribution. The high usability score demonstrates its potential to support an inclusive and sustainable smart economy. Novelty/Originality of this article: The novelty of this research lies in its integrated ecosystem approach, which combines a physical distribution hub (for logistics, storage, and quality control) with a direct-to-consumer digital marketplace. This holistic model directly addresses both the logistical and market access barriers for farmers, offering a comprehensive solution that distinguishes it from existing platforms focused solely on digital transactions.
References
Ahmed, N., De, D., & Hussain, I. (2018). Internet of things (IoT) for smart precision agriculture and farming in rural areas. IEEE Internet of Things Journal, 5(6), 4890–4899. https://doi.org/10.1109/JIOT.2018.2879579
Awad, M., Ndiaye, M., & Osman, A. (2020). Vehicle routing in cold food supply chain logistics: A literature review. In International Journal of Logistics Management, 32(2), 592–617. Emerald Group Holdings Ltd. https://doi.org/10.1108/IJLM-02-2020-0092
Azis, A. M., Irjayanti, M., & Murti, Y. R. (2026). Advancing traceability and sustainability through a digital information system in Indonesia’s rice supply chain. Discover Sustainability, 7(1), 184. https://doi.org/10.1007/s43621-025-02544-4
Badan Pusat Statistik. (2023). Sensus pertanian 2023. BPS-Statistics Indonesia. https://sensus.bps.go.id/st2023/
Badan Pusat Statistik. (2024). Ekonomi Indonesia triwulan II-2024 tumbuh 3,79 persen (Q-to-Q), ekonomi Indonesia triwulan II-2024 tumbuh 5,05 persen (Y-on-Y), dan ekonomi Indonesia semester I-2024 tumbuh 5,08 persen (C-to-C). https://www.bps.go.id/id/pressrelease/2024/08/05/2381/ekonomi-indonesia-triwulan-ii-2024-tumbuh-3-79-persen--q-to-q---ekonomi-indonesia-triwulan-ii-2024-tumbuh-5-05-persen--y-on-y---dan-ekonomi-indonesia-semester-i-2024-tumbuh-5-08-persen--c-to-c-.html
Badan Pusat Statistik. (2025). Nilai Tukar Petani (NTP) Mei 2025 sebesar 121,15 atau naik 0,07 persen. Harga beras premium di penggilingan turun 0,35 persen. https://www.bps.go.id/id/pressrelease/2025/06/02/2437/nilai-tukar-petani--ntp--mei-2025-sebesar-121-15-atau-naik-0-07-persen--harga-beras-premium-di-penggilingan-turun-0-35-persen.html
Banomyong, R., Cook, P. & Kent, P. (2008). Formulating regional logistics development policy: The case of ASEAN. International Journal of Logistics Research & Applications, 11(5), 359–379. https://doi.org/10.1080/13675560802389114
Benzaghta, M. A., Elwalda, A., Mousa, M. M., Erkan, I., & Rahman, M. (2021). SWOT analysis applications: An integrative literature review. Journal of Global Business Insights, 6(1), 55–73. https://doi.org/10.5038/2640-6489.6.1.1148
Chandan, A., & John, M. (2025). Sustainability indicators in rice and wheat supply chain. Foods, 14(16), 2917. https://doi.org/10.3390/foods14162917
Dedi, H. (2024). Rantai distribusi panjang dianggap jadi masalah utama petani. https://rri.co.id/bisnis/999953/rantai-distribusi-panjang-dianggap-jadi-masalah-utama-petani
Elegbeleye, F. A., Oguntona, O., & Elegbeleye, I. (2025). Blockchain and IoT for Sustainable Agriculture: Innovations and Impacts. Journal of Information Systems and Informatics, 7(2), 2038–2049. https://doi.org/10.51519/journalisi.v7i2.1136
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Food and Agriculture Organization, & Badan Pusat Statistik. (2025). We cannot manage the missing food that we cannot measure. FAO Indonesia. https://www.fao.org/indonesia/resources/stories/we-cannot-manage-the-missing-food-that-we-cannot-measure/
Gilbert, R., Costlow, L., Matteson, J., Rauschendorfer, J., Krivonos, E., Block, S. A., & Masters, W. A. (2024). Trade policy reform, retail food prices and access to healthy diets worldwide. World Development, 177, 106535. https://doi.org/10.1016/j.worlddev.2024.106535
Gomathy, A., & Boopathi Kumar, E. (2025). Farmer's global market connecting platform using supply chain management. World Journal of Advanced Research and Reviews, 26(1), 1700–1709. https://doi.org/10.30574/wjarr.2025.26.1.1224
Gonçalves, C., Fernandes, J., & Brites, C. (2025). Blockchain-enabled traceability in the rice supply chain: Insights from the TRACE-RICE project. Foods, 14(21), 3711. https://doi.org/10.3390/foods14213711
Helo, P., & Shamsuzzoha, A. H. M. (2020). Real-time supply chain—A blockchain architecture for project deliveries. Robotics and Computer-Integrated Manufacturing, 63. https://doi.org/10.1016/j.rcim.2019.101909
Keefe, D. H. S., Jang, H., & Sur, J. M. (2024). Digitalization for agricultural supply chains resilience: Perspectives from Indonesia as an ASEAN member. The Asian Journal of Shipping and Logistics, 40(4), 180–186. https://doi.org/10.1016/j.ajsl.2024.09.001
Kurniawati, N. I., Werdani, R. E., & Mege, S. R. (2020). Development of supply chain management models in rice production to improve food endurance and security in Demak Regency. Economics, Management and Sustainability, 5(2). https://doi.org/10.14254/jems.2020.5-2.7
Lewis, J. R. (2018). The system usability scale: Past, present, and future. International Journal of Human–Computer Interaction, 34(7), 577–590. https://doi.org/10.1080/10447318.2018.1455307
Mercier, S., Villeneuve, S., Mondor, M., & Uysal, I. (2017). Time–temperature management along the food cold chain: A review of recent developments. Comprehensive Reviews in Food Science and Food Safety, 16(4), 647–667. https://doi.org/10.1111/1541-4337.12269
Morepje, M. T., Sithole, M. Z., Msweli, N. S., & Agholor, A. I. (2024). The influence of e-commerce platforms on sustainable agriculture practices among smallholder farmers in Sub-Saharan Africa. Sustainability, 16(15), 6496. https://doi.org/10.3390/su16156496
Mustafa, M. F. M. S., Navaranjan, N., & Demirovic, A. (2024). Food cold chain logistics and management: A review of current development and emerging trends. Journal of Agriculture and Food Research, 18, 101343. https://doi.org/10.1016/j.jafr.2024.101343
Ningsih, P. F., Maswadi, & Kusrini, N. (2024). Analisis kehilangan pangan (Food Loss) komoditas beras di Kalimantan Barat. Jurnal Ekonomi Pertanian Dan Agribisnis (JEPA), 8(3), 959–977. https://doi.org/10.21776/ub.jepa.2024.008.03.12
Pressman, R. S. (2015). Software engineering: A practitioner's approach (8th ed.). McGraw-Hill Education.
Rahman, M., & Hasan, S. (2025). Improving transparency and compliance in agricultural supply chains through IT and traceability systems using blockchain and ERP integration. International Journal For Multidisciplinary Research, 7(4). https://doi.org/10.36948/ijfmr.2025.v07i04.54505
Sembiring, A. C., Tampubolon, J., Sitanggang, D., Turnip, M., & Subash. (2019). Improvement of inventory system using first in first out (FIFO) method. Journal of Physics: Conference Series, 1361(1). https://doi.org/10.1088/1742-6596/1361/1/012070
Siregar, H. (2004). Changes in farmer terms of trade and agricultural net-barter terms of trade: An empirical analysis. Jurnal Manajemen & Agribisnis, 1(1), 1–19. https://doi.org/10.17358/jma.1.1.1-19
Sugiyono, P. D. (2017). Metode penelitian bisnis: Pendekatan kuantitatif, kualitatif, kombinasi, dan R&D. CV. Alfabeta.
Suhermanto, H. W., Wibowo Fora, A., Vivian Helena, C., Sinuraya, F., Andhika Nugraha, K., Yolanditya Poto, M., Sudianto Chien, M., Hardiyantari, S., Hielda Arie, V., & Ratih TAK, A. (2021). Pemanfaatan media digital TaniHub sebagai upaya promosi dan kerjasama
terhadap hasil pertanian Desa Giripanggung. Jurnal Atma Inovasia (JAI), 1(1). https://doi.org/10.24002/jai.v1i1.3908
Taufiqi, H., Bagastyo, A. Y., Titah, H. S., & Radita, D. R. (2025). A study of potential food loss and food waste of agricultural commodities in Indonesia. IOP Conference Series: Earth and Environmental Science, 1556(1), 012040. https://doi.org/10.1088/1755-1315/1556/1/012040
Terera, K. G., Mangwende, S. P., Nyoni, J., & Masama, E. (2025). Developing a value chain model to economically empower banana farmers in developing countries. International Journal of Research and Innovation in Social Science, 9(7), 302–314. https://doi.org/10.47772/IJRISS.2025.90700022
Yi, J., Meemken, E.-M., Mazariegos-Anastassiou, V., Liu, J., Kim, E., Gómez, M. I., Canning, P., & Barrett, C. B. (2021). Post-farmgate food value chains make up most of consumer food expenditures globally. Nature Food, 2(6), 417–425. https://doi.org/10.1038/s43016-021-00279-9
Zhang, Y., Lin, Z., Zhang, R., & Zhao, K. (2025). The impact of digital capabilities on farmers' choice of marketing channels: evidence from rural areas of the Yellow River Basin in China. Humanities and Social Sciences Communications, 12, 1629. https://doi.org/10.1057/s41599-025-05934-1
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2026 Degus Satya Mudana, Aulia Mutz Vira, Vyola Cecilia Potto, Rizal Adi Saputra

This work is licensed under a Creative Commons Attribution 4.0 International License.














