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  • 标题:Determination of Student Department Using Method C4.5 Case Study of SMK Bina Mandiri Teluknaga Kabupaten Tangerang
  • 本地全文:下载
  • 作者:Sahrul ; Ade Octaviansyah ; Ajie Maulana
  • 期刊名称:International Journal of Computer Techniques
  • 电子版ISSN:2394-2231
  • 出版年度:2018
  • 卷号:5
  • 期号:3
  • 页码:43-49
  • 语种:English
  • 出版社:International Research Group - IRG
  • 摘要:At this time parents and students are still confused with the majors they will take to complete education at the vocational school level. Many of them (students) choose a specialization field following the choices taken by the majority of their classmates who are familiar, regardless of the student's academic achievement factors. This has an impact on the incompatibility of areas of interest with the interests and skills of these students. As a result many students who have difficulty when completing education in vocational school. Many cases found that the selection of majors that are not in accordance with the ability, personality, interests and talents can influence students in following the learning in its class. The impact of student achievement decreased and could even occur drop out of school. Data Mining using C4.5 Algorithm method has greater accuracy value than Na�ve Bayes method that is equal to 74,53% while Na�ve Bayes accuracy value 67,89% with difference value equal to 6,64%, Rule yielded from method C4. 5 can be applied to the making of the student's determination system at SMK Bina Mandiri Teluk Naga. So it is expected to facilitate the management of SMK Bina Mandiri Teluk Naga in taking policy for students who are still confused in the determination of the majors.
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