Azhar, Alfin Muzayyinul (2026) TEM REKOMENDASI MAKANAN BERBASIS NUTRISI DAN INTERAKSI PENGGUNA DENGAN PENDEKATAN HYBRID FILTERING. S1 thesis, Universitas PGRI Madiun.
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Abstract
This study develops a personalised meal recommendation system using a hybrid filtering approach, integrating Content-Based Filtering with Weighted Euclidean Distance and Collaborative Filtering based on Cosine Similarity using Implicit Feedback as the scoring mechanism. The integration of the two approaches is conducted by adjusting the recommendation scores according to users with high similarity. The system is developed using Rapid Application Development (RAD) and evaluated using Precision, Recall, and F1-Score in a Top-N framework. The test results indicate that the Top-10 configuration provides the best performance with balanced Precision, Recall, and F1-score values, as well as a system feasibility level of 96.50%.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Kata Kunci : Sistem Rekomendasi, Hybrid Filtering, Content-Based Filtering, Collaborative Filtering, Weighted Euclidean Distance, Cosine Similarity. Keywords : Recommendation System, Hybrid Filtering, Content-Based Filtering, Collaborative Filtering, Weighted Euclidean Distance, Cosine Similarity. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | AZHAR MUZAYYINUL ALFIN |
| Date Deposited: | 13 Apr 2026 02:12 |
| Last Modified: | 13 Apr 2026 02:12 |
| URI: | http://eprint.unipma.ac.id/id/eprint/6257 |
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