A Conceptual Model of Smart Supply Chain for Managing Rice Industry

Tomy Perdana; Yuanita Handayati; Agriani Hermita Sadeli; Dhanan Sarwo Utomo; Fernianda Rahayu Hermiatin

doi:10.29313/mimbar.v36i1.5431

A Conceptual Model of Smart Supply Chain for Managing Rice Industry

Tomy Perdana, Yuanita Handayati, Agriani Hermita Sadeli, Dhanan Sarwo Utomo, Fernianda Rahayu Hermiatin

Abstract

This research proposes a conceptual model of a smart supply chain for the rice industry. While the smart supply chain concept has started to establish in the manufacturing sector, its development and application in the agricultural sector are lacking. This research employs Soft System Methodology combined with the Value Co-Creation approach to guide focus group discussion and elicit root problems and ideas from real actors in Indramayu District. The proposed conceptual model takes into account actors starting from the upstream to the downstream of the rice supply chain. Since it is developed based on real situations, it is highly relevant for supporting the local policymakers to address problems, such as lack of integration, unclear division of role, and lack of competitiveness within this supply chain. Applications beyond this case study might be beneficial for maintaining national food security.

Keywords

rice industry, value co-creation, soft system methodology, smart supply chain

Full Text:

PDF

References

Ali, M., (2009). “Pendidikan untuk pembangunan nasional: menuju bangsa Indonesia yang mandiri dan berdaya saing tinggi”, Jakarta: Grasindo.

Arifin, B., (2004). “Analisis ekonomi pertanian Indonesia”, Jakarta: Kompas.

Basavaraja, H., Mahajanashetti, S.B. and Udagatti, N.C., (2007). Economic analysis of post-harvest losses in food grains in India: a case study of Karnataka. Agricultural Economics Research Review, 20(347-2016-16622), p.117.

Barham, J., Tropp, D., Enterline, K., Farbman, J., Fisk, J. and Kiraly, S., (2012). Regional food hub resource guide (No. 1470-2016-120654).

Berti, G. and Mulligan, C., (2016). Competitiveness of small farms and innovative food supply chains: The role of food hubs in creating sustainable regional and local food systems. Sustainability, Vol. 8, No. 7, p.616.

Buurman, J., (2002). “Supply chain logistics management.” McGraw-Hill.

Cederberg, C. and Mattsson, B., (2000). Life cycle assessment of milk production—a comparison of conventional and organic farming. Journal of Cleaner Production, Vol. 8, No. 1, pp.49-60.

Statistics of Jawa Barat. (2019). Kabupaten Indramayu dalam Angka 2019.

Channe, H., Kothari, S. and Kadam, D., (2015). Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. International Journal Computer Technology and Applications,Vol. 6, No. 3, pp.374-382.

Fein, M.L. (2001). Social Engineering in Context: Some Observations on Turner. Sociological Practice: A Journal of Clinical and Applied Sociology, Vol.3, pp.121-125.

Georgakopoulos, D. and Jayaraman, P.P., (2016). Internet of things: from internet-scale sensing to smart services. Computing, Vol. 98, No. 10, pp.1041-1058.

Gibbs, K.E., Mackey, R.L. and Currie, D.J., (2009). Human land use, agriculture, pesticides, and losses of imperiled species. Diversity and Distributions, Vol. 15, No. 2, pp.242-253.

Grogan, A., (2012). Smart farming. Engineering and Technology, Vol. 7, No. 6, pp.38-40.

Handayati, Y., Simatupang, T.M. and Perdana, T., (2015). Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Research, Vol. 8, No. 1, pp.5.

Handayati, Y., Simatupang, T.M. and Perdana, T., (2015). Value co-creation in agri-chains network: an Agent-Based Simulation. Procedia Manufacturing, Vol. 4, pp.419-428.

Hatfield, J.L., Boote, K.J., Kimball, B.A., Ziska, L.H., Izaurralde, R.C., Ort, D., Thomson, A.M. and Wolfe, D., (2011). Climate impacts on agriculture: implications for crop production. Agronomy Journal, Vol. 103, No. 2, pp.351-370.

Hodges, R.J., Buzby, J.C. and Bennett, B., (2011). Postharvest losses and waste in developed and less developed countries: opportunities to improve resource use. The Journal of Agricultural Science, Vol. 149, No. 1, pp.37-45.

Hsiang, S.M., (2010). Temperatures and cyclones strongly associated with economic production in the Caribbean and Central America. Proceedings of the National Academy of Sciences, Vol. 107, No. 35, pp.15367-15372.

Insani, fitrah rahmah, iwan setiawan, and siska rasiska. (2018). Determinan Partisipasi Dan Peran Petani Muda Dalam Pengembangan Pertanian Ramah Lingkungan di Desa Cisondari, Kecamatan Ciwidey, Kabupaten Bandung, Jawa Barat. Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol. 4, No. 2, pp. 153-168.

Kader, A.A., (2002). “Postharvest technology of horticultural crops (Vol. 3311).” University of California Agriculture and Natural Resources.

Kindon, S., Pain, R. and Kesby, M. eds., (2007). “Participatory action research approaches and methods: Connecting people, participation and place”, Routledge.

Kusnandar, K., van Kooten, O. and Brazier, F.M., (2019). Empowering through reflection: participatory design of change in agricultural chains in Indonesia by local stakeholders. Cogent Food and Agriculture, Vol. 5, No. 1, p.1608685.

Lambert, D.M. and Cooper, M.C., (2000). Issues in supply chain management. Industrial marketing management, Vol. 29, No. 1, pp.65-83.

Lehman, B., D'Mello, S. and Graesser, A., (2012). Confusion and complex learning during interactions with computer learning environments. The Internet and Higher Education, Vol. 15, No. 3, pp.184-194.

Lipper, L., Thornton, P., Campbell, B.M., Baedeker, T., Braimoh, A., Bwalya, M., Caron, P., Cattaneo, A., Garrity, D., Henry, K. and Hottle, R., (2014). Climate-smart agriculture for food security. Nature Climate Change, Vol. 4, No. 12, p.1068.

Lu, J. and Bowles, M., (2013). How will nanotechnology affect agricultural supply chains?. International Food and Agribusiness Management Review, Vol. 16

Long, T.B., Blok, V. and Coninx, I., (2016). Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from the Netherlands, France, Switzerland and Italy. Journal of Cleaner Production, Vol. 112, pp.9-21.

McCarthy, N., Lipper, L., & Zilberman, D. (2018). Economics of climate smart agriculture: An overview. In Climate Smart Agriculture (pp. 31-47). Springer, Cham.

Mentzer, J.T., DeWitt, W., Keebler, J.S., Min, S., Nix, N.W., Smith, C.D. and Zacharia, Z.G., (2001). Defining supply chain management. Journal of Business logistics, Vol. 22, No. 2 pp.1-25.

Mulyani, A. and Sarwani, M., (2013). Karakteristik dan potensi lahan sub optimal untuk pengembangan pertanian di Indonesia. Jurnal Sumberdaya Lahan, Vol. 7, No. 1.

Murthy, D.S., Gajanana, T.M., Sudha, M. and Dakshinamoorthy, V., (2009). Marketing and post-harvest losses in fruits: its implications on availability and economy. Indian Journal of Agricultural Economics, Vol. 64

Nogales, Eva Galvez. (2010). “Agro Based Clusters in Developing Countries: Staying Competitive in A Globalized Economy”, Rome, FAO.

Oliveira, C.M., Auad, A.M., Mendes, S.M. and Frizzas, M.R., (2014). Crop losses and the economic impact of insect pests on Brazilian agriculture. Crop Protection, Vol. 56, pp.50-54.

Opara, L., (2004). Emerging technological innovation triad for smart agriculture in the 21st century. Part I. Prospects and impacts of nanotechnology in agriculture.International Commission of Agricultural Engineering

Patil, K.A. and Kale, N.R., (2016). A model for smart agriculture using IoT. In 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC) (pp. 543-545). IEEE.

Perdana, T., Sadeli, A.H., Hermiatin, F.R. & Ginanjar, T., (2019), October. Lean management in the rice industry; case study at Widasari, Indramayu district. In IOP Conference Series: Earth and Environmental Science (Vol. 335, No. 1, p. 012024). IOP Publishing.

Perdana, T., Heriyanto, M.A., Kurnia, G., Kuswaryan, S., Fitriani, L.K. & Sanjaya, S., (2016), October. Sustainable Agribusiness Cluster Development. In Green Development International Conference (GDIC 2016) (p. 27).

Porter, M. E. (1998). Clusters and the new economics of competition (Vol. 76, No. 6, pp. 77-90). Boston: Harvard Business Review.

Reardon, T. and Zilberman, D., (2018). Climate smart food supply chains in developing countries in an era of rapid dual change in agrifood systems and the climate. In Climate Smart Agriculture (pp. 335-351). Springer, Cham.

Saifullah, A., (2014). Tantangan Perberasan Nasional Menghadapi Pasar Tunggal ASEAN 2015 National Rice Challenges Facing the ASEAN Single Market in 2015. JURNAL PANGAN, 23(2), pp.178-193.

Scrinis, G. and Lyons, K., (2007). The emerging nano-corporate paradigm: nanotechnology and the transformation of nature, food and agri-food systems. International Journal of Sociology of Food and Agriculture, 15(2), pp.22-44.

Sekhon, B.S., (2014). Nanotechnology in agri-food production: an overview. Nanotechnology, science and applications, Vol. 7, p.31

Shukla, M. and Jharkharia, S., (2013). Agri-fresh produce supply chain management: a state-of-the-art literature review. International Journal of Operations and Production Management, Vol. 33, No. 2, pp.114-158.

Shekhar, S., Colletti, J., Muñoz-Arriola, F., Ramaswamy, L., Krintz, C., Varshney, L., & Richardson, D. (2017). Intelligent infrastructure for smart agriculture: An integrated food, energy and water system. arXiv preprint arXiv:1705.01993.

Tongke, F., (2013). Smart agriculture based on cloud computing and IOT. Journal of Convergence Information Technology, Vol. 8, No. 2.

Verhagen, S. and Teunissen, P.J., (2013). The ratio test for future GNSS ambiguity resolution. GPS solutions, Vol. 17, No. 4, pp.535-548.

Verdouw, C.N., Beulens, A.J.M. and Van Der Vorst, J.G.A.J., (2013). Virtualisation of floricultural supply chains: A review from an Internet of Things perspective. Computers and electronics in agriculture, Vol. 99, pp.160-175.

Wolfert, S., Ge, L., Verdouw, C. and Bogaardt, M.J., (2017). Big data in smart farming–a review. Agricultural Systems, Vol. 153, pp.69-80.

Wu, L., Yue, X., Jin, A. and Yen, D.C., (2016). Smart supply chain management: a review and implications for future research. The International Journal of Logistics Management. Vol. 27, pp.395-417

Xu, H., Ding, H., Li, M., Qiang, S., Guo, J., Han, Z., Huang, Z., Sun, H., He, S., Wu, H. and Wan, F., (2006). The distribution and economic losses of alien species invasion to China. Biological Invasions, Vol. 8, No. 7, pp.1495-1500.

Zhao, J.C., Zhang, J.F., Feng, Y. and Guo, J.X., (2010). The study and application of the IOT technology in agriculture. In 2010 3rd International Conference on Computer Science and Information Technology, Vol. 2, pp. 462-465. IEEE.

DOI: https://doi.org/10.29313/mimbar.v36i1.5431

Refbacks

There are currently no refbacks.

MIMBAR : Jurnal Sosial dan Pembangunan is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.