Naïve Bayes for Analysis of Student Learning Achievement
Student achievement is measured by the achievement index value obtained every semester,student achievement is measured by several factors, and in this research the author takes several factors including study paths, choice of majors, monthly living expenses, relationships with friends, relationships...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
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| Series: | SHS Web of Conferences |
| Subjects: | |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2022/19/shsconf_icss2022_01031.pdf |
| _version_ | 1811219040826294272 |
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| author | Pandiangan N. Lintang M. Priyudahari B.A. |
| author_facet | Pandiangan N. Lintang M. Priyudahari B.A. |
| author_sort | Pandiangan N. |
| collection | DOAJ |
| description | Student achievement is measured by the achievement index value obtained every semester,student achievement is measured by several factors, and in this research the author takes several factors including study paths, choice of majors, monthly living expenses, relationships with friends, relationships with family, motivation study, employment, scholarships, transportation, and internet services. Analysis and prediction of student achievement using Naïve Bayes Algorithm classification method, the result is this algorithm works very well using 14 student datasets to determine the grades of the 15th student. Based on theAnalysis, variables that affect student achievement include choice of majors, residence, relationships with friends, relationships with family, job, and scholarships. The accuracy of the naïve bayes algorithm for this student achievement case study model reaches 60%, precision 25%, and recall 100%. |
| first_indexed | 2024-04-12T07:20:10Z |
| format | Article |
| id | doaj.art-1dfa362a68d34882b4dbfff1323d1539 |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-04-12T07:20:10Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-1dfa362a68d34882b4dbfff1323d15392022-12-22T03:42:21ZengEDP SciencesSHS Web of Conferences2261-24242022-01-011490103110.1051/shsconf/202214901031shsconf_icss2022_01031Naïve Bayes for Analysis of Student Learning AchievementPandiangan N.0Lintang M.1Priyudahari B.A.2Departement of Computer Education, Universitas MusamusDepartement of Computer Education, Universitas MusamusDepartement of Computer Education, Universitas MusamusStudent achievement is measured by the achievement index value obtained every semester,student achievement is measured by several factors, and in this research the author takes several factors including study paths, choice of majors, monthly living expenses, relationships with friends, relationships with family, motivation study, employment, scholarships, transportation, and internet services. Analysis and prediction of student achievement using Naïve Bayes Algorithm classification method, the result is this algorithm works very well using 14 student datasets to determine the grades of the 15th student. Based on theAnalysis, variables that affect student achievement include choice of majors, residence, relationships with friends, relationships with family, job, and scholarships. The accuracy of the naïve bayes algorithm for this student achievement case study model reaches 60%, precision 25%, and recall 100%.https://www.shs-conferences.org/articles/shsconf/pdf/2022/19/shsconf_icss2022_01031.pdfnaïve bayes algorithmclassificationinformation systemstudent achievement |
| spellingShingle | Pandiangan N. Lintang M. Priyudahari B.A. Naïve Bayes for Analysis of Student Learning Achievement SHS Web of Conferences naïve bayes algorithm classification information system student achievement |
| title | Naïve Bayes for Analysis of Student Learning Achievement |
| title_full | Naïve Bayes for Analysis of Student Learning Achievement |
| title_fullStr | Naïve Bayes for Analysis of Student Learning Achievement |
| title_full_unstemmed | Naïve Bayes for Analysis of Student Learning Achievement |
| title_short | Naïve Bayes for Analysis of Student Learning Achievement |
| title_sort | naive bayes for analysis of student learning achievement |
| topic | naïve bayes algorithm classification information system student achievement |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2022/19/shsconf_icss2022_01031.pdf |
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