Sistem Rekomendasi Pemilihan Program MSIB Bagi Mahasiswa Pendidikan Informatika

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Published: Jun 30, 2023
DOI: https://doi.org/10.24252/shift.v3i2.92
Keywords:
Recommendation System MSIB Program Content Based Filtering Cosine Similarity

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Dian Budi Elnursa
Universitas Trunojoyo Madura
Vesy Nofriana
Universitas Trunojoyo Madura
Agus Syamsuri
Universitas Trunojoyo Madura
Laili Cahyani
Universitas Trunojoyo Madura

Abstract

This study discusses a recommendation system using a content-based filtering method with cosine similarity to help informatics education students choose the right Certified Independent Study and Internship Program (MSIB). The data used is data based on student interests, program and course data available on the MSIB web portal. The content-based filtering method is used to consider the suitability between student preferences and the MSIB program curriculum, while the cosine similarity algorithm is used to calculate the similarity score between different contents. The development of this recommendation system can assist informatics education students in choosing the MSIB program that is in accordance with the preferences of the student's interest profile. The results of the system evaluation obtained an average precision level of 89.4%, indicating that the list of recommendations provided by the system is very good and very relevant according to user preferences.

Article Details

Issue
Vol. 3 No. 2 (2023)
Section
Art Jun
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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