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Sistem Rekomendasi Produk Furniture Menggunakan Metode Item-Based Collaborative Filtering (Studi Kasus: Luxury Furniture Jepara)

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ABSTRAK

Luxury Furniture merupakan sentra pengrajin furniture yang berlokasi di Jepara, Propinsi
Jawa Tengah. Luxury Furniture memanfaatkan teknologi informasi dan jaringan Internet
untuk melakukan transaksi perdagangan. Permasalahan muncul ketika banyaknya jumlah
produk furniture yang ditawarkan membuat beberapa pelanggan kesulitan dalam
menentukan pilihan mengenai produk furniture apa yang sesuai dengan keinginan
pelanggan. Solusinya adalah penggunaan sistem rekomendasi yang memungkinkan
pengguna dapat memperoleh produk yang diminati berdasarkan peringkat yang diberikan
pelanggan sebelumnya. Metode Item based collaborative filtering dipilih sebagai metode
sistem rekomendasi karena dapat menghasilkan rekomendasi berdasarkan informasi tentang
kebiasaan pengguna di masa lalu atau berdasarkan kebiasaan kumpulan pengguna yang lain.
Penelitian ini menggunakan Waterfall sebagai model proses perangkat lunak. Penelitian ini
menghasilkan sistem rekomendasi produk furniture yang bertujuan memudahkan pelanggan
memperoleh produk furniture yang diminati berupa produk.
Kata kunci: Sistem Rekomendasi, Item Based Collaborative Filtering, Waterfall

ABSTRACT

Luxury Furniture is a center furniture craftsman that experienced in manufacturing and
setting all kinds of furniture ranging from order units as well as in the major parties. As the
industry of Furniture who located in Jepara, Central Java province, Luxury Furniture manage
sub-materials of wood, rattan and other raw materials into furniture products that have added
value and higher benefits. A large number of offered furniture products make some
customers hard to specify the option of furniture products that suitable with customers taste.
Therefore, it needs to be built a recommendation system that is capable of providing the
appropriate product recommendations that suitable with customers taste to selecting the
products to be purchased. Item based collaborative filtering method is chosen as the
recommendations system method because it can produce high quality recommendations
although using large data sets and generate recommendations based on the information about
user habits in the past or based on a custom set of other users. This research uses Waterfall
as a model process of the software. This research generate the product recommendation
system to facilitate customers purchase the products.
Keyword: Recommendation System, Item Based Collaborative Filtering, Waterfall

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Ketersediaan

489F17II

005.1 ABD s

Perpustakaan FSM Undip (Referensi)

Tersedia

Informasi Detail

Judul Seri

ILMU KOMPUTER/INFORMATIKA

No. Panggil

005.1 ABD s

Penerbit

: ., 2017

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

1550

Tipe Isi

-

Tipe Media

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Tipe Pembawa

-

Edisi

-

Subjek

-

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Abdul Rezha Efrat Najaf

Versi lain/terkait

Lampiran Berkas

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