Hidayatullah, Anadia Rahmat Syihab (2019) Analisis Rekomendasi Menggunakan Single Linkage Clustering Dan K-Modes Clustering Dalam Pendekatan Hybrid Filtering. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perkembangan teknologi telah membawa perubahan dalam bidang kehidupan manusia. Hingga pada saat era digital kini semua media informasi dapat diakses melalui internet. Salah satu media yang memanfaatkan teknologi internet dalam memperoleh keuntungan adalah dunia film dengan cara menyajikan film secara daring. Sejak awal perkembangannya hingga saat ini telah tercatat 3.361.741 judul film yang telah dikeluarkan industri perfilman. Sekian banyak film membawa dampak bagi user dan pemilik situs film daring terutama dalam hal efisiensi tampilan yang film yang relevan bagi user-user film. Oleh karena itu munculah pendekatan yang dapat memberikan bantuan bagi user dalam menentukan keputusan yakni menggunakan kombinasi sistem rekomendasi yakni teknik sistem rekomendasi Hybrid Filtering yaitu menggabungkan teknik Demographic Filtering (Single Linkage Clustering dan K-Modes Clustering) dan Collaborative Filtering. Hasil dari penelitian diperoleh jumlah kelompok user berdasarkan kemiripan karakteristik yang sama sejumlah 34 jenis klaster. Rekomendasi yang didapatkan sejumlah 10 film yang relevan melalui proses preferensi user lain dan prediksi rating.
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Technological developments have brought changes in the field of human living. Until right now in this digital era, all media information can be accessed via the internet. One of the media that uses internet tech-nology to gain profits is the world of movie by presenting movies online. Since the beginning of its development to date there have been 3,361,741 movie titles released by the movie industry. Those many movies have an impact on the users and owners of online movie sites, especially in terms of the efficiency of the appearance of the movies that are relevant to the users of the movie. Therefore, an approach that can provide assistance to users in determining decisions is using a combination of recommendation systems, it called a Hybrid Filtering recommendation system technique that combines Demographic Filtering techniques (Single Linkage Clus-tering and K-Modes Clustering) and Collaborative Filtering. The results of the study obtained the number of user groups based on similar charac-teristics of 34 types of clusters. The recommendations obtained are 10 relevant movies through other user preference processes and rating predictions.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSt 519.535 Hid a-1 2019 |
| Uncontrolled Keywords: | Sistem Rekomendasi, Film, Single Linkage Clustering, K-Modes Clustering, Hybrid Filtering |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics H Social Sciences > HE Transportation and Communications H Social Sciences > HF Commerce > HF54.54 Electronic information resources. Digital libraries Q Science > QA Mathematics > QA278.55 Cluster analysis |
| Divisions: | Faculty of Mathematics, Computation, and Data Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | ANADIA RAHMAT SYIHAB HIDAYATULLAH |
| Date Deposited: | 17 Mar 2023 07:31 |
| Last Modified: | 17 Mar 2023 07:52 |
| URI: | http://repository.its.ac.id/id/eprint/63697 |
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