Sell Book Of Dynamic System Simulation Implementation In Corn Industrial - Erma Suryani, Et Al. best price

Title: Simulation Model imlementation book dynamic system in corn industry Author: Erma Suryani, dkk. Page: xiv, 129 pgs, Uk: 15.5x23 cm Isbn: 978-623-02-3351-7 Mold: September 2021 Synopsis: The system is a set of elements that work together to achieve a goal. The system can be classified into an abstract and physical system, natural and artificial, certain and inevitable, and closed and open. The model is a representation of a system. Simulation is a model design process of a system to learn system behavior and characteristics aims to improve system performance or create systems according to the purpose of modelmaking. Simulation steps include system definition, model formulation, data capture, model making, model verification, model validation, and scenario (experiment) to model. In this book it is diskussed about the implementation of dynamic system models in corn industry. Demand for corn increased in line with the increasing number of residents and industries, this results in demand for corn more increased. The growth of corn production in east java is more relied on the wide increase of harvest areas, the largest contributions of the widest contributions of corn harvest nationwide derived from East java Province which is by 26.52%. After the system understanding, it can be developed a simulation model to increase corn farmer production and income. Vensims (Ventana Simulation) is a software that can be used as a means to develop dynamic system models. Vensims provide simple and flexible techniques for building causal loop diagrams (CLD) as well as stock and flow diagram (SFD). Vensims also have some facilities such as graph, causal strip, and table as a simulation result interpretation media. To check the accuracy of the model developed, then the validation of the model is done. Once the model is declared valid, next may be performed the development of the model scenario. The development of the scenario was carried out to predict the possibilities to take place in the future by adding new parameters or changing existing structures. In this study will be predicted some variables such as productivity, production, corn businesstanical costs, and corn farmer income.