SISTEM PENDUKUNG KEPUTUSAN PENJURUSAN SISWA SMA KELAS X MENGGUNAKAN KOMBINASI AlGORITMA K-MEANS DAN TOPSIS (STUDI KASUS: UPT SMA NEGERI 6 OKU TIMUR)

SARPANDA, DAMA PUTRA and Yunita, Yunita and Rodiah, Desty (2023) SISTEM PENDUKUNG KEPUTUSAN PENJURUSAN SISWA SMA KELAS X MENGGUNAKAN KOMBINASI AlGORITMA K-MEANS DAN TOPSIS (STUDI KASUS: UPT SMA NEGERI 6 OKU TIMUR). Undergraduate thesis, Sriwijaya University.

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Abstract

High school or generally abbreviated SMA consists of several majors. So that students are placed in majors that match their interests and talents, software is built using the K-means method. The K-means method will cluster 231 data from class X students in 2022 into two clusters. Furthermore, from the results of K-means clustering, each cluster will be ranked using the TOPSIS method so that student data is sorted based on the best value. The TOPSIS method sorts student data based on criteria values that have different weight values. The results in this study gave K-means values of 0.8181 (Accuracy), 0.8175 (Recall), 0.7787 (Precision) and 0.8175 (Specificity). For TOPSIS ranking results which validate as the final result is 80.9%.Based on the research results, software has been built that can assist in determining student majors and ranking student data at UPT SMA Negeri 6 OKU East.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Jurusan, K-means, Sekolah Menegah Atas, Sistem Pendukung Keputusan, TOPSIS
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.62 Decision support systems Cf. HD30.213 Industrial management
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Dama Putra Sarpanda
Date Deposited:	12 Jun 2023 08:36
Last Modified:	12 Jun 2023 08:36
URI:	http://repository.unsri.ac.id/id/eprint/109475

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