Sistem rekomendasi peminatan peserta didik baru pada kurikulum K-13 menggunakan metode profile matching, simple additive weighting, dan kombinasi keduanya

Jurnal Teknologi dan Sistem Komputer

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Title Sistem rekomendasi peminatan peserta didik baru pada kurikulum K-13 menggunakan metode profile matching, simple additive weighting, dan kombinasi keduanya
Recommender systems for specializing new students in the K-13 curriculum using the profile matching, SAW, and a combination of both
 
Creator Iswanto, Muhammad Edi
Siregar, Maria Ulfah
'Uyun, Shofwatul
Nuruzzaman, Muhammad Taufiq
 
Subject kurikulum K-13; peminatan; profile matching; SAW; SPK
K-13 curriculum; DSS; profile matching; SAW; specialization
 
Description Peminatan peserta didik dalam kurikulum 2013 dilakukan sebelum peserta didik memulai belajar di kelas X. Ketepatan dalam penentuannya diperlukan untuk memastikan peserta didik belajar sesuai dengan minat dan bakat yang dimiliki. Penelitian ini menerapkan tiga metode SPK, yaitu profile matching, SAW dan kombinasi keduanya, untuk memberikan rekomendasi peminatan siswa didik ini. Ketiga metode tersebut dikomparasikan menggunakan alternatif dan kriteria yang sama untuk mengetahui metode yang paling dominan. Hasil penelitian ini menunjukkan bahwa penerapan SPK dapat membantu kegiatan PPDB dengan akurasi 79,2 %. Dalam proses penentuan minat bagi peserta didik, metode kombinasi menjadi yang paling dominan dengan persentase sebesar 78 %. Penerapan SPK tidak hanya membantu proses peminatan menjadi lebih cepat, tetapi juga akurat. Hal ini dibuktikan dengan hanya terdapat 6 dari total 122 peserta didik yang memilih peminatan berdasarkan rekomendasi SPK mendapatkan nilai di bawah KKM.
The selection of students' interests based on the 2013 curriculum (K-13) is carried out before students start learning in class X. Accuracy in its determination is required to ensure that students learn according to their interests and talents. This study applies three DSS methods, namely profile matching, SAW, and a combination of both, to provide accurate recommendations for determining these students' interests. The three methods are compared using the same alternatives and criteria to find the most dominant method. The results of this study indicate that the application of SPK can assist PPDB activities with an accuracy of 79.2 %. In determining interest for students, the combination method is the most dominant, with an accuracy of 78 %. The application of DSS not only helps the specialization process to be faster but also accurate. This is indicated by only 6 out of 122 students who chose specialization based on the DSS recommendation getting a score below the KKM.
 
Publisher Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
 
Date 2021-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://jtsiskom.undip.ac.id/article/view/13902
10.14710/jtsiskom.2021.13902
 
Source Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 2, Year 2021 (April 2021); 96-105
Jurnal Teknologi dan Sistem Komputer; Volume 9, Issue 2, Year 2021 (April 2021); 96-105
2338-0403
 
Language ind
 
Relation https://jtsiskom.undip.ac.id/article/view/13902/12684
 
Rights Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
https://creativecommons.org/licenses/by-sa/4.0
 

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