SHONDY RAJA FERDINAND SINURAT, NPM 2009100145 (2024) ANALISIS DATA MINING ABSENSI SISWA SMP NEGERI 1 BILAH BARAT DENGAN METODE ALGORITMA K-MEANS CLUESTERING. Tugas_Akhir (Artikel) INFORMATIKA Universitas Labuhanbatu, 12 (2). pp. 292-303. ISSN 2615-1855 (e-ISSN)/ 2303-2863 (p-ISSN)
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Abstract
The presence of students in Junior High School has significant implications in the world of Education. The success of education depends not only on the content of the curriculum and the quality of teaching, but is also strongly linked to the extent to which students are regularly present at school. The problem of student absenteeism in junior high school is an issue that should not be ignored, as it can negatively affect academic achievement, the development of social skills, and the overall educational experience of students. A student's absence from school can be caused by a complex of factors. These factors include personal problems such as lack of motivation, family problems such as domestic conflicts, poor physical or mental health, as well as environmental factors such as school accessibility. A deep understanding of the reasons behind student absenteeism is an important first step to addressing this problem. Student attendance Data that has been accumulated over the past 6 months can be a valuable source of information in analyzing student attendance. However, extracting useful information from large and complex attendance data is a challenging task. This is where Data Mining comes in. Data Mining is an approach that enables the identification of patterns, trends, and valuable information in large and complex data. Keywords : SMP Negeri 1 Bilah Barat, Analysis, Data Mining, Attendance, Algorithm K-Means Cluestering.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SMP Negeri 1 Bilah Barat, Analysis, Data Mining, Attendance, Algorithm K-Means Cluestering. |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZA Information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources |
| Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 09 Sep 2024 07:03 |
| Last Modified: | 09 Sep 2024 07:03 |
| URI: | http://repository.ulb.ac.id/id/eprint/1037 |
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