Syamil Taqiyuddin Ayyasy, . (2023) SISTEM REKOMENDASI ALTERNATIF MUSIK BERDASARKAN MOOD USER MENGGUNAKAN METODE CONTENT BASED FILTERING. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (10kB) |
|
Text
AWAL.pdf Download (620kB) |
|
Text
BAB 1.pdf Download (21kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (214kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (135kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (377kB) |
|
Text
BAB 5.pdf Download (10kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (159kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (16kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (259kB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (11MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (486kB) |
Abstract
This research aims to generate personalized music alternative recommendations based on the user's mood. Content-Based Filtering is used to create this recommendation system. This method utilizes various models to find similarities between data or documents to produce meaningful recommendations. One of the models used is Term Frequency Inverse Document Frequency (TF-IDF). Following this, Cosine Similarity is used in the text classification domain to indicate the level of similarity between two documents. This research yields a simulation system that can recommend alternative music choices based on the user's mood, with an Average Precision@10 score of 0.7207 and an Average Recall@10 score of 0.9896. This implies that the system can provide fairly relevant recommendations. In conclusion, this recommendation system can assist users in selecting music that aligns with their mood, thereby enhancing their music listening experience.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910511126] [Pembimbing: Yuni Widiastiwi] [Penguji 1: I Wayan Widi Pradnyana] [Penguji 2: Henki Bayu Seta] |
| Uncontrolled Keywords: | Recommendation System, Music, Mood, Content-Based Filtering |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Syamil Taqiyuddin Ayyasy |
| Date Deposited: | 14 Aug 2023 03:14 |
| Last Modified: | 14 Aug 2023 03:14 |
| URI: | http://repository.upnvj.ac.id/id/eprint/26549 |
Actions (login required)
 |
View Item |