SISTEM REKOMENDASI FILM BERBASIS BOT TELEGRAM DENGAN METODE COLLABORATIVE FILTERING

SUKMAJI, YANUAR TRI WIBOWO (2020) SISTEM REKOMENDASI FILM BERBASIS BOT TELEGRAM DENGAN METODE COLLABORATIVE FILTERING. S1-Sarjana thesis, Universitas Mercu Buana Jakarta.

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Abstract

Recommender system has been used for decade that we don’t even realize to help daily task that improved the efficiency and make it faster than before, by suggesting any recommendation to improve speed and accuracy to help people make a decision, the goal of this research is maximize the efficiency for people who has any confusion and don’t know what to pick for their movie preferences they are going to watch because of their lack of knowledge of the movie content, by applying this method the user can be suggested to pick movies from other people preferences which user and other user has any common or similarity by applying k-NN(Key Nearest Neighbor) algorithm, the recommender system works on telegram messenger application and applied to telegram bot platform, researcher choose this platform because telegram application can be run on any operating system available this day.the result of this research shows that userbased collaborative filtering has a good result of accuracy of recommendation for the user. Keywords: User-Based Collaborative Filtering, Recommender System, Bot Telegram, K-NN Sistem rekomendasi telah digunakan dalam kegiatan sehari-hari yang bertujuan untuk mempermudah manusia dalam menentukan sebuah keputusan dengan maksud untuk mengurangi kesalahan dan mengurangi waktu yang digunakan untuk mempertimbangkan keputusan, penelitian ini bertujuan untuk meningkatkan efektivitas dalam menentukan pilihan film yang sesuai dengan selera yang berbeda-beda pada setiap user dengan berdasarkan kemiripan yang terdapat dalam user sebagai bahan dalam memberikan rekomendasi dengan menerapkan algoritma k-NN(Key Nearest Neighbor), penerapan sistem ini akan berjalan pada bot telegram yang dapat berjalan disetiap platform yang digunakan saat ini. Hasil penelitian menunjukan penggunaan user based collaborative filtering mendapatkan akurasi yang cukup tinggi dan menghasilkan rekomendasi bagi pengguna Kata Kunci : User Based Collaborative Filtering,Sistem Rekomendasi,Bot Telegram,K-NN

Item Type: Thesis (S1-Sarjana)
NIM: 41514110097
Uncontrolled Keywords: User Based Collaborative Filtering,Sistem Rekomendasi,Bot Telegram,K-NN
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 006 Special Computer Methods/Metode Komputer Tertentu > 006.7 Multimedia Systems/Sistem-sistem Multimedia > 006.75 Social Multimedia/Multimedia Social > 006.752 Blogs/Blog, Web Blog
700 Arts/Seni, Seni Rupa, Kesenian > 770 Photography and Photographs/Seni Fotografi dan Foto > 778 Specific Fields of Photography/Bidang-bidang Khusus Seni Fotografi > 778.5 Cinematography, Video Production, Related Activities/Sinematografi, Produksi Video, dan Kegiatan Terkait > 778.58 Preservation and Storage of Motion Picture Films/Pelestarian dan Penyimpanan Film Bergerak
700 Arts/Seni, Seni Rupa, Kesenian > 790 Recreational and Performing Arts/Olah Raga dan Seni Pertunjukan > 791 Public Performances/Pertunjukan Umum
700 Arts/Seni, Seni Rupa, Kesenian > 790 Recreational and Performing Arts/Olah Raga dan Seni Pertunjukan > 791 Public Performances/Pertunjukan Umum > 791.4 Motion Pictures, Radio, Television/Gambar Gerak, Radio, Televisi
700 Arts/Seni, Seni Rupa, Kesenian > 790 Recreational and Performing Arts/Olah Raga dan Seni Pertunjukan > 791 Public Performances/Pertunjukan Umum > 791.4 Motion Pictures, Radio, Television/Gambar Gerak, Radio, Televisi > 791.43 Motion Pictures, Movies, Cinema/Bioskop, Movie, Film Hiburan, Sinema
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: Dede Muksin Lubis
Date Deposited: 22 Jul 2020 07:17
Last Modified: 22 Jul 2020 07:17
URI: http://repository.mercubuana.ac.id/id/eprint/56469

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