Recommender systems for specializing new students in the K-13 curriculum using the profile matching, SAW, and a combination of both
Open Access
- 26 February 2021
- journal article
- Published by Institute of Research and Community Services Diponegoro University (LPPM UNDIP) in Jurnal Teknologi dan Sistem Komputer
- Vol. 9 (2), 96-105
- https://doi.org/10.14710/jtsiskom.2021.13902
Abstract
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.Keywords
Funding Information
- Universitas Islam Negeri Sunan Kalijaga Yogyakarta
This publication has 6 references indexed in Scilit:
- Komparasi Metode Profile Matching Dengan Fuzzy Profile Matching Pada Pemilihan Wakil Kepala SekolahJurnal Ilmiah Media Sisfo, 2019
- Deteksi Tingkat Risiko Kehamilan dengan Metode Fuzzy Mamdani dan Simple Additive WeightingJurnal Teknologi dan Sistem Komputer, 2018
- PEMAHAMAN PEMILIHAN PEMINATAN AKADEMIK PESERTA DIDIK KELAS X SMAN 5 TANGERANG TAHUN 2017-2018Jurnal Penelitian Bimbingan dan Konseling, 2018
- SISTEM PENDUKUNG KEPUTUSAN PENJURUSAN PADA SISWA SMAJurnal Informatika Polinema, 2017
- Bidikmisi Scholarship Selection in UIN Sunan Kalijaga Using Profile Matching MethodIJID (International Journal on Informatics for Development), 2016
- Flood-prone Areas Mapping at Semarang City by Using Simple Additive Weighting MethodProcedia - Social and Behavioral Sciences, 2016