Sistem Rekomendasi Pemilihan Bidang Spesialisasi berdasarkan Nilai Mahasiswa menggunakan Logika Fuzzy di Departemen Teknik Komputer ITS

Khalidah, Lubna (2023) Sistem Rekomendasi Pemilihan Bidang Spesialisasi berdasarkan Nilai Mahasiswa menggunakan Logika Fuzzy di Departemen Teknik Komputer ITS. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kurikulum baru pada Departemen Teknik Komputer ITS mewajibkan mahasiswa memilih bidang spesialisasi, tetapi banyak mahasiswa kesulitan dalam menentukan bidang yang sesuai dengan potensi diri. Penelitian ini bertujuan untuk membantu mahasiswa memilih bidang spesialisasi yang sesuai dengan kemampuan mereka dengan memberikan rekomendasi berdasarkan nilai mahasiswa. Sistem rekomendasi ini menggunakan logika fuzzy yang fleksibel dalam mengubah kriteria pengambilan keputusan. Diharapkan sistem ini dapat memandu mahasiswa dalam memilih bidang spesialisasi yang tepat dan mengoptimalkan potensi mereka. Penelitian ini memiliki manfaat dalam membantu mahasiswa Departemen Teknik Komputer ITS mengambil keputusan yang tepat dalam memilih bidang spesialisasi.
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The new curriculum in the Department of Computer Engineering at ITS requires students to choose a specialization field, but many students struggle to determine a field that aligns with their potential. This research aims to assist students in selecting a specialization field that matches their abilities by providing recommendations based on their academic performance. The recommendation system utilizes flexible fuzzy logic to modify decision-making criteria. It is expected that this system will guide students in choosing the appropriate specialization field and optimizing their potential. The research has the benefit of helping students in the Department of Computer Engineering at ITS make informed decisions when selecting a specialization field.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Recommandation System, Fuzzy Logic, Specialization, Computer Engineering ITS, Sistem Rekomendasi, Fuzzy Logic, Bidang Spesialisasi, Teknik Komputer ITS.
Subjects:	Q Science > Q Science (General) > Q325.5 Machine learning. Support vector machines. Q Science > QA Mathematics > QA336 Artificial Intelligence Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Lubna Khalidah
Date Deposited:	11 Jan 2024 06:32
Last Modified:	11 Jan 2024 06:36
URI:	http://repository.its.ac.id/id/eprint/102860

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