LAKSONO, ARYO DWI (2020) SISTEM REKOMENDASI COLLABORATIVE FILTERING TOKO MEBEL LIMBANGAN BERBASIS E-COMMERCE. Undergraduate thesis, UNIVERSITAS STIKUBANK.
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Abstract
Toko Mebel Limbangan sebuah toko mebel di Limbangan menjual aneka mebel seperti lemari pakaian, meja makan, meja tamu, kursi tamu dan lain sebagainya Toko Mebel Limbangan hingga saat ini masih menggunakan transaksi dengan cara pelanggan harus datang ke toko untuk melihat produk yang dijual dan melakukan transaksi di tempat, hal tersebut sangat memakan waktu dan biaya. Sehingga agar dapat menanggulangi itu semua Toko Mebel Limbangan dapat merealisasikan dengan adanya e-commerce. Aplikasi e-commerce yang akan digungakan ini bertujuan untuk memberikan rekomendasi penjualan produk yang diinginkan pelanggan dengan metode collaborative filtering. Proses pembuatan aplikasi e-commerce ini dimulai dengan menganalisa system dan menggunakan perancangan system UML yang meliputi , use case diagram , activity diagram, sequence diagram dan class diagram. Bahasa pemrograman yang digunakan meliputi PHP, MySQL sebagai basis data, Macromedia Dreamweaver sebagai editor HTML. Hasil penilitian pada system rekomendasi collaborative filtering toko mebel limbangan berbasis e-commerce dapat memebrikan rekomendasi tiga produk dan rekomendasi best seller berdasarkan data penjulan terbanyak pada bula dan tahun sebanyak tiga produk. Penelitian dapat ditambahkan metode up selling sehingga dapat menampilkan rekomendasi produk dengan kualitas diatas produk yang sedang dilihat. ABSTRACT Limbang Furniture Shop a furniture shop in Limbang sells a variety of furniture to place on tables, dining tables, guest tables, guest chairs and others in place, this is very time and costly. It is possible to overcome this. All Limbangan Furniture Stores can realize it with e-commerce. The e-commerce application that will be used is expected to provide product sales recommendations desired by customers with collaborative screening methods. The process of making this e-commerce application begins with analyzing the system and using the UML system design provided, using case diagrams, activity diagrams, sequence diagrams and class diagrams. The programming language used is using PHP, MySQL basic data, Macromedia Dreamweaver as an HTML editor. The results of the research on the recommendation system of collaborative filter furniture shop based on e-commerce scales can provide three product recommendations and best seller recommendations based on the most sale s data in months and three products. seen.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | NIM : 16.01.55.0058 SKR.I.05.02.1910 |
| Uncontrolled Keywords: | Toko Mebel Limbangan, E-Commerce, Collaborative Filtering, Rekomendasi |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty / Institution: | Fakultas Teknologi Informasi > Program Studi Sistem Informasi |
| Depositing User: | Ani Mariawati |
| Date Deposited: | 01 Oct 2020 08:35 |
| Last Modified: | 01 Oct 2020 08:35 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/7188 |
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