使用 Apriori 方法根据学校位置绘制学生能力图的教育数据挖掘 案例研究:SMK YPM Sidoarjo

M. Hidayat, Rifki Fahrial Zainal, Andi Alfian Efendi
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引用次数: 0

摘要

随着当今信息技术的发展,人们在日常生活中需要准确的信息,因此信息将成为当今和未来社会发展的重要因素。然而,对信息的高需求有时并不能与充分的信息展示相匹配,往往还需要从大量数据中重新挖掘信息。传统的现有数据分析方法无法处理大量数据。高中基本上是为那些继续升学的人设置的,而技能的提供可以说是不存在的。职业高中可以培养出高质量的工作技能型毕业生,因此目前许多公司都需要职业高中的毕业生。本研究的目的是创建一个应用程序,利用数据挖掘技术和 Apriori 方法获取有用的信息,以绘制各学科的价值图,特别是锡都阿若 YPM 职业学校的英语学科。系统测试的结果表明,在锡都阿若的大多数 YPM 职业学校中,仍然缺乏英语的国家考试分数。
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Educational Data Mining for Mapping Student Ability Based on School Location Using Apriori Method Case Study : SMK YPM Sidoarjo
With the advancement of information technology today, the need for accurate information is needed in everyday life, so that information will become an important element in the development of society today and in the future. However, the high need for information is sometimes not matched by the presentation of adequate information, often the information still has to be re-excavated from very large amounts of data. Traditional methods of analyzing existing data, cannot handle large amounts of data. Basically Senior High School is programmed for those who continue to a higher level, while the provision of skills can be said to be non-existent. Vocational High Schools can produce quality graduates in terms of work skills, therefore currently many companies require graduates from Vocational Schools. The purpose of this study is to create an application to obtain useful information about mapping the value of subjects, especially English at YPM Vocational School in Sidoarjo with data mining techniques and Apriori method. From the results of system testing, it shows that there is still a lack of National Examination Scores for English in most YPM Vocational Schools in Sidoarjo.
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