SISTEM REKOMENDASI BERBASIS WEB MENGGUNAKAN PENDEKATAN COLLABORATIVE FILTERING DAN ALGORITMA SLOPE ONE PADA XYZ PETSHOP

SAPUTRA, IVAN ADI (2022) SISTEM REKOMENDASI BERBASIS WEB MENGGUNAKAN PENDEKATAN COLLABORATIVE FILTERING DAN ALGORITMA SLOPE ONE PADA XYZ PETSHOP. S1 thesis, Universitas Mercu Buana Jakarta.

[img]
Preview
 Text (HAL COVER)
01 Cover.pdf
Download (505kB) | Preview
[img]
Preview
 Text (ABSTRAK)
02 Abstrak.pdf
Download (23kB) | Preview
[img] Text (BAB I)
03 Bab 1.pdf
Restricted to Registered users only
Download (87kB)
[img] Text (BAB II)
04 Bab 2.pdf
Restricted to Registered users only
Download (180kB)
[img] Text (BAB III)
05 Bab 3.pdf
Restricted to Registered users only
Download (56kB)
[img] Text (BAB IV)
06 Bab 4.pdf
Restricted to Registered users only
Download (100kB)
[img] Text (BAB V)
07 Bab 5.pdf
Restricted to Registered users only
Download (205kB)
[img] Text (BAB VI)
08 Bab 6.pdf
Restricted to Registered users only
Download (66kB)
[img] Text (DAFTAR PUSTAKA)
09 Daftar Pustaka.pdf
Restricted to Registered users only
Download (78kB)
[img] Text (LAMPIRAN)
10 Lampiran.pdf
Restricted to Registered users only
Download (156kB)

Abstract

Recommendation system is a system that is used to predict an object. The purpose of the recommendation system is to help make it easier for users to choose the product that best suits their tastes, as well as provide superior products based on the ratings of other users. In this study, the application of a recommendation system uses a Collaborative Filtering approach and the Slope One Algorithm to provide product recommendations based on ratings from other users to be used to predict products that may be of interest to a user. Collaborative filtering is the most widely used approach for designing recommendation systems. The Slope One algorithm is a ranking-based collaborative filtering algorithm, but it does not calculate the similarity between items. The advantage of the Slope One algorithm compared to other recommendation algorithms is that the Slope One algorithm is easier to implement, efficient when performing queries, and does not require many requirements because recommendations are based on the rating of each item, and are quite accurate. The product recommendations displayed are the 4 products with the highest scores. Key words: recommendation, slope one, collaborative filtering, product Sistem rekomendasi adalah suatu sistem yang dipergunakan dalam melakukan prediksi terhadap suatu objek. Tujuan dari sistem rekomendasi yaitu untuk membantu memudahkan pengguna dalam memilih produk yang paling cocok dengan selera mereka, serta memberikan produk unggulan berdasar penilaian pengguna lain. Pada penelitian ini penerapan sistem rekomendasi menggunakan pendekatan Collaborative Filtering dan Algoritma Slope One untuk memberi rekomendasi produk yang didasarkan penilaian dari pengguna lain untuk digunakan memprediksi produk yang mungkin diminati oleh seorang pengguna. Collaborative filtering merupakan pendekatan yang paling banyak digunakan untuk merancang sistem rekomendasi. Algoritma Slope One adalah salah satu algoritma collaborative filtering berbasis peringkat, tetapi tidak menghitung kesamaan antar item. Keunggulan algoritma Slope One dibanding algoritma rekomendasi lainnya adalah algoritma Slope One lebih mudah untuk dimplementasikan, efisien saat melakukan query, dan tidak memerlukan banyak requirement dikarenakan rekomendasi berdasarkan rating dari setiap item, serta cukup akurat. Rekomendasi produk yang ditampilkan adalah 4 produk dengan skor tertinggi. Kata kunci: rekomendasi, slope one, collaborative filtering, produk

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 22 096
NIM/NIDN Creators: 41518110063
Uncontrolled Keywords: rekomendasi, slope one, collaborative filtering, produk
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
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
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 > 004.1 General Works on Specific Types of Computers/Karya Umum tentang Tipe-tipe Khusus Komputer
Depositing User: WADINDA ROSADI
Date Deposited: 03 Oct 2022 03:22
Last Modified: 03 Oct 2022 08:03
URI: http://repository.mercubuana.ac.id/id/eprint/69814

Actions (login required)

View Item View Item
UMB Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.