Rekomendasi Paket Mata Pelajaran Pilihan (MPP) pada SMA Negeri 1 Kebumen Menggunakan Algoritma K-means
| Autor: | Gustina Alfa Trisnapradika, Wildanil Ghozi, Yuminah Yuminah |
|---|---|
| Jazyk: | indonéština |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Jurnal Informatika dan Rekayasa Perangkat Lunak, Vol 5, Iss 2, Pp 96-103 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2656-2855 2685-5518 |
| DOI: | 10.36499/jinrpl.v5i2.8514 |
| Popis: | Curriculum changes are needed to adapt education to the times. Since the covid-19 pandemic, face-to-face learning has been suspended. Online learning is an alternative used during a pandemic. This has an impact on learning loss so that the quality of learning decreases. Recovery of learning during the pandemic and post-pandemic Covid-19 is important to reduce the impact of learning loss on students. After the pandemic, the independent curriculum was launched which was a refinement of the 2013 curriculum which had only been implemented in several schools. The subject structure of the Merdeka curriculum for SMA level in Fese E or grade 10, all students get the same subjects. While in Phase F (grades 11 and 12), the subject structure is divided into 2 main groups, namely general subjects and elective subjects. Based on the provisions of the SMKA 2021-2022 curriculum structure, SMA Negeri 1 Kebumen prepares elective subjects (MPP) which are made up of 7 MPP packages. This study uses a clustering technique of student scores using the K-Means algorithm to obtain MPP package recommendations that suit student abilities. For each MPP package, clustering is carried out into 2 clusters with features in the form of predetermined subject scores. The result of this clustering is that each student gets a "yes" or "no" recommendation for each MPP package. |
| Databáze: | Directory of Open Access Journals |
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