用蒙特卡罗方法预测职业实践的材料需求(以SMK Dwi Sejahtera Pekanbaru为例)

Suandi Daulay, R. Rahmi
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引用次数: 1

摘要

职业高中(SMK),每次实习都需要配套材料。当各部门对这些实习材料的需求重合时,学校很难满足这些需求。对借阅实习资料进行数据处理的目的是为了最优地满足本部门的实际需要。本研究处理的数据为实践资料需求数据、实践资料需求数据和实践资料供给数据。使用蒙特卡罗方法处理数据,并使用PHP编程进行测试。本研究结果预测了TKJ科的最佳练习材料需求、所需材料数量和所需材料数量。97%的准确。因此,本研究对预测学生实习所需的材料有很大的帮助,对学校改善学生实习服务有很大的帮助。
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Prediction of Material Requirements For Vocational Practices Using The Monte Carlo Method (Case Study at SMK Dwi Sejahtera Pekanbaru)
Vocational High School (SMK), every practice always requires supporting materials. When the demand for these practice materials coincides between departments, so schools have difficulty in fulfilling them. The purpose of processing data on borrowing practice materials is to optimally meet the practical needs of the department. The data that is processed in this study is the data on demand for practice materials, data on practice needs and data on supply of practice materials. The data is processed using the Monte Carlo method with testing using PHP programming. The results of this study are predictions of the optimal practice material needs in the TKJ department and the materials that are needed and the amount of practice materials needed. 97% accurate. So that this research is very helpful in predicting the material needs of practice, this research is very helpful for the school in improfing services for student praticum.
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1.50
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审稿时长
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