Putra, Maulana Ruhaedi (2025) Rancang Bangun Sistem Rekomendasi Pemilihan Laptop Berbasis Website Menggunakan Metode Hybrid CF-CBF dengan Pendekatan TF-IDF. S1 thesis, Universitas PGRI Madiun.
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Abstract
In the digital era, the need for laptops that meet specific user requirements has become increasingly important. However, the vast number of options available on the market often makes it difficult for potential buyers to choose the most suitable one. To address this issue, this research designs and develops a web-based laptop recommendation system using a hybrid method that combines Collaborative Filtering (CF), Content-Based Filtering (CBF), and the Term Frequency-Inverse Document Frequency (TF-IDF) approach. The system is developed using the Laravel and React JS frameworks and supported by a MySQL database implemented through Laragon. Data collection was conducted online using Google Forms, and the results were used to build the recommendation model. The system was tested using the black-box method to ensure all functionalities worked properly. The results of this study show that the hybrid approach is capable of providing more relevant laptop recommendations that align with user preferences and needs. This system is expected to assist users in choosing laptops more efficiently and effectively.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Sistem rekomendasi, Hybrid filtering, Collaborative Filtering, Content-Based Filtering, TF-IDF, Laptop |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | PUTRA RUHAEDI MAULANA |
| Date Deposited: | 25 Aug 2025 04:19 |
| Last Modified: | 25 Aug 2025 04:19 |
| URI: | http://eprint.unipma.ac.id/id/eprint/4063 |
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