Putriani, Dwi (2024) Implementasi Metode Content-Based Filtering Untuk Sistem Rekomendasi Pemilihan Jurusan SMK Di Kota Bengkalis. Undergraduate thesis, Politeknik Negeri Bengkalis.
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Abstract
This research aims to develop a recommendation system for selecting vocational majors in Bengkalis City by applying the content-based filtering method to develop a recommendation system for selecting majors at SMK Bengkalis City. This system uses machine learning to analyze students' interests,talents, and abilities to provide recommendations for appropriate majors. By using the Random Forest Classifier algorithm, the system can customize individual student preferences. The test results show that this system helps students in making better major selection decisions. It is hoped that this system will make a positive contribution to the world of education in Bengkalis City.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Uncontrolled Keywords: | Content-Based Filtering, Recommendation System, Machine Learning, Random Forest Classifier. | ||||||||||||
| Subjects: | 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 463 Teknik Perangkat Lunak | ||||||||||||
| Divisions: | Jurusan Teknik Informatika > Sarjana Terapan Rekayasa Perangkat Lunak > TUGAS AKHIR | ||||||||||||
| Depositing User: | Rekayasa Perangkat Lunak B 2024 | ||||||||||||
| Date Deposited: | 22 Aug 2024 10:00 | ||||||||||||
| Last Modified: | 22 Aug 2024 10:00 | ||||||||||||
| URI: | http://eprints.polbeng.ac.id/id/eprint/13233 |
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