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Design model material requirement of coconut flour production and performance testing based multi user in North Sulawesi

机译:北苏拉威西岛基于椰子粉生产和性能测试的设计模型材料要求

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摘要

There has been many previous studies that discuss the control for the production of coconut flour and raw material inventory. But a system or a computer-based model for coconut flour industry in North Sulawesi has not or does not exist. For that reason, coconut flour industries also require tools on in running the business as developed in this study. The problem in this research is how to make the design of the model material production requirement of coconut flour-based multi-user to control the production of industrial centers in North Sulawesi coconut flour and how to test the model. The model generated in this study have been through a survey in the industrial district of coconut flour to get the data that will be used analysis, so that a complete picture processing system coconut flour and can describe the problem also the solution clearly in order to get the system needs a model along the test by using a test black box the program and the respondents used for the performance test in order to know the program's ability to interact with users. The collected data is then analyzed and designed using some design method that is data flow diagrams, use case diagram, entity relationship diagrams and material requirements planning methods. Results of the test will indicate that all functions on the system works well and test the respondent for 30 and 60 minutes resulting in a 60% and 63% of respondents were taken as many as 30 answered easily using the model application.
机译:以前有许多研究讨论了椰子粉生产和原料库存的控制。但是北部苏拉威西岛椰子粉行业的系统或基于计算机的模型不存在或不存在。因此,椰子粉行业还需要开展这项研究中开发的业务工具。本研究的问题是如何设计基于椰子粉的多用户模型材料生产需求的设计,以控制北苏拉威西椰子粉工业中心的生产以及如何测试模型。本研究生成的模型已经通过对椰子粉工业区的调查获得了将用于分析的数据,从而使一个完整的图片处理系统能够清楚地描述椰子粉并能解决问题,从而得到解决方案。系统需要通过使用程序的测试黑匣子和用于性能测试的响应者来沿着测试建立模型,以便了解程序与用户交互的能力。然后使用某种设计方法对收集的数据进行分析和设计,这些设计方法是数据流程图,用例图,实体关系图和物料需求计划方法。测试结果将表明系统上的所有功能均正常运行,并在30分钟和60分钟的时间内对受访者进行了测试,结果导致使用模型应用程序轻松回答了30%和60%的受访者。

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