Membangun Sistem Rekomendasi Berbasis Algoritma Apriori Pada Website Penjualan UD Rahmat

Hidayat, Rahmat (2019) Membangun Sistem Rekomendasi Berbasis Algoritma Apriori Pada Website Penjualan UD Rahmat. S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.

[img] Text
1443061-S1-TEKNIK INFORMATIKA.pdf
Restricted to Repository staff only
Download (1MB) | Request a copy

Abstract

Rahmat Hidayat, 2019, Membangun Sistem Rekomendasi Berbasis Algoritma Apriori Pada Website Penjualan UD Rahmat, Skripsi Program Studi Teknik Informatika, Sekolah Tinggi Manajemen Informatika dan Komputer Widya Cipta Dharma, Pembimbing(I) ,Pitrasacha Aditya , MT dan Pembimbing (II) Asep Nurhuda , M.Kom. Kata Kunci : Website, Sistem Rekomendasi, Algoritma Apriori. Sistem rekomendasi berbasis algoritma apriori, bertujuan untuk membantu pemilik UD Rahmat menemukan susunan menu item di UD Rahmat untuk proses pengembangan promosi dengan menggunakan sistem rekomendasi apriori. Sistem Rekomendasi berbasis Algoritma Apriori pada website penjualan UD Rahmat ini dikembangkan dengan metode pengembangan sistem waterfall, metode pengumpulan data dengan wawancara, observasi dan studi pustaka, analisis sistes dengan menggunakan sitemap, flowchart, dan Entity Relationship Diagram. Dalam mengembangkan sistem rekomendasi berbasis algoritma apriori pada website penjualan UD Rahmat ini menggunakan bahasa pemograman PHP, Database MySQL, Web server local XAMPP, Sublime Text 3 sebagai editor website, dan Adobe Photoshop sebagai editor image. Dari hasil membangun sistem rekomendasi berbasis algoritma apriori pada website penjualan UD Rahmat, disimpulkan nantinya dapat membantu proses penjualan yang dilakukan UD Rahmat dan mempermudah pemilik dalam merekomendasikan produk yang mereka jual. ========================================================= Rahmat Hidayat, 2019, Building a Recommendation System Based on Apriori Algorithms on UD Rahmat Sales Website, Thesis Informatics Engineering Program, College of Information and Computer Management Widya Cipta Dharma, Advisor (I), Pitrasacha Aditya, MT and Advisor (II) Asep Nurhuda, M.Kom. Keywords: Website, Recommended System, Apriori Algorithm. A priori algorithm based recommendation system, aimed at helping UD Rahmat owners find the menu item arrangement at UD Rahmat for the promotion development process using a priori recommendation system. The Recommendation system based on the Apriori Algorithm on the UD Rahmat sales website was developed with the method of developing the waterfall system, a method of collecting data with interviews, observation and literature studies, analyzing systems using sitemap, flowchart, and Entity Relationship Diagram. In developing a priori algorithm based recommendation system on the UD Rahmat sales website, it uses the PHP programming language, MySQL Database, local XAMPP Web server, Sublime Text 3 as a website editor, and Adobe Photoshop as image editor. From the results of building a priori algorithm-based recommendation system on UD Rahmat's sales website, it was concluded that later it could help the sales process carried out by UD Rahmat and facilitate owners in recommending the products they sell.

Item Type: Thesis (S1 Teknik Informatika)
Additional Information: Pembimbing 1 : Pitrasacha Aditya , MT. Pembimbing 2 : Asep Nurhuda , M.Kom.
Uncontrolled Keywords: Website, Sistem Rekomendasi, Algoritma Apriori.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Teknik Informatika
Depositing User: Mr Rahmat Hidayat
Date Deposited: 25 Jun 2019 05:49
Last Modified: 25 Jun 2019 05:49
URI: http://repository.wicida.ac.id/id/eprint/1919

Actions (login required)

View Item View Item
wicida 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.