Model Dinamik Manajemen Usahatani Ubikayu

Bambang Yudi Ariadi, Maman Haeruman K, Dini Rochdiani, Elly Rasmikayati


Cassava production is very important in Kabupaten Trenggalek to fulfill need of local industries and market demand from outside region. In fact, cassava produc-tion is not stable, one of the cause is price fluctuation. Before planting time, cassava price is expencive and farmers are interested to plant, however, at harvest time the price is fall so that farmers get lose. Such condition caused farmers to change to plant others commodity. The study aimed to: 1) conduct maping of the real system of cassava farm manage-ment and farmer's performance in Kabupaten Trenggalek East Java; 2) analyze the components and its relevant on cassava farm management and farmer's performance; 3) design model of cassava farm management and farmer's performance in the perspective of system dynamic. The system dynamic analysis that did maping the real system creat a mental model, causal loop diagram (CLD). There are two model sub-systems, they are sub-system of farm management are sub-system of farmer's performance. Based on the mental model, next we design Flow Diagram (FD) of the model and model validation by using software of Vensim. In the model of farm management and farmer's performance, it was found a leverage factor namely technology of integrated farming system (IFS). If a component of IFS is change or slightly increased/decreased, the whole system will also changed.


Farm management; farmer's performance; system dynamic; integrated farming system

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BPS, 2008. Biro Pusat Statistik Propinsi Jawa Timur. http//

Astuti, P. 2010. Sistem Penunjang Keputusan Intelejen Chaostic Untuk Strategi Pengembangan Agroindustri Ubikayu. Jurnal Teknik Industri, ISSN: 1411-6430. Muchlis, A., Sumarwan, U., Suharjo, B. and Maulana, A., 2012. The Role of Socio_cultural in Relationship Marketing: Case Findings on Farmers in West Java. Euoropeaan Journal of Scientific Research, 75 (4), pp. 523-535.

Coyle, R.G., 1996. System Dynamics Modelling; A Practical Approach, Chapman & Hall, London.

Ford, A., 1999. Modeling the Environment: An Introduction to System Dynamics Models of Environmental Systems. Island Press. Washington DC.

Falade, K., & Akingbala, J. (2011). Utilization of Cassava for Food. Food Reviews International, 27, pp.51-83. doi:10.1080/87559129.2010.518296 Heizer Jay, Barry Brander, 1991. Production and Operations Management. Allyn and Bacon A Division of Simon and Schuster, Inc.USA

Hidaka, S., 1999. System dynamics: A new tool for TQM. The Proceedings of the 17 th International Conference of the System Dynamics Society and 5 th Australian & New Zealand Systems Conference.

Kennedy, M ., 1999. Some issues in Building System

Dynamic Modelds Designed to Improve The Informa-tion Systems Investment Appraisal Process. The Proceedings of the l7th Intemational Confeience of the System Dynamics Society and 5 th Australian & New Zealand Systems Conference.

Marquez, A.C., 2010. Dynamic Modelling for Supply Chain Management. Springer-Verlag London Limited.

Somantri, Supriatna, A. dan Machfud, 2006. Analisis Sistem Dinamik Untuk Kebijakan Penyediaan Ubi Kayu (Studi Kasus di Kabupaten Bogor). Buletin Technologi Pascapanen Pertanian Vol 2 Tahun 2006.

Tsegai, D. W., & Kormawa, P. M. (2009). The Determi-nants of Urban Households’ Demand for Cassava and Cassava Products in Kaduna, Northern Nigeria: An Application of the AIDS Model. European Journal of Development Research, 21 3, 435-447.

Ukwuru, M. U., & Egbonu, S. E. (2013). Recent develop-ment in cassava-based products research. Academia Journal of Food Research, 1, 1-13.

Yandra, Marimin, Irawadi Jamaran, Eriyatno, Hiroyuki Tamura. 2007. An Integration of Multi-Objective Genetic Algorithm and Fuzzy for Optimization of Agroindustrial Supply Chain Design. Proceeding of the 2007 ISSS Conference.



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