IMPLEMENTASI APLIKASI LELANG E-AUCTION DENGAN PENERAPAN METODE ALGORITMA APRIORI DAN K-MEANS

ARYASHIFA, ABDILLAH DHIMAS (2024) IMPLEMENTASI APLIKASI LELANG E-AUCTION DENGAN PENERAPAN METODE ALGORITMA APRIORI DAN K-MEANS. S1 thesis, Universitas Mercu Buana-Menteng.

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Abstract

Sistem Lelang pada penjualan dan pembelian barang saat ini ramai dilakukan melalui grup khusus pada berbagai social media. Hal ini terdapat beberapa permasalahan seperti tidak terstrukturnya barang lelang. Oleh sebab itu, dibutuhkan solusi yang dapat mengatasi permasalahan tersebut. E-Commerce lelang menawarkan solusi dengan pendekatan teknologi yang memberikan kemudahan akses bagi pengguna untuk berpartisipasi dalam lelang dari mana saja dan kapan saja. Penelitian ini bertujuan untuk mengeksplorasi penggunakan sistem lelang dalam platform e-commerce dengan penerapan metode algoritma Apriori dan KMeans dalam menampilkan item yang akan direkomendasikan. Penerapan kedua algoritma tersebut digunakan untuk mendapatkan optimasi yang lebih baik dalam menampilkan rekomendasi item lelang dan diharapkan dapat sesuai dengan tujuan penelitian ini. Auction systems for the sale and purchase of goods are currently popular through specialized groups on various social media platforms. However, these systems face several issues, such as the lack of structured auction items. Therefore, a solution is needed to address these problems. An e-commerce auction platform offers a solution with a technological approach that provides users with easy access to participate in auctions from anywhere and at any time. This research aims to explore the use of auction systems on e-commerce platforms by implementing the Apriori algorithm and K-means clustering method to display recommended items. The application of these two algorithms is used to achieve better optimization in displaying auction item recommendations and is expected to meet the objectives of this research.

Item Type: Thesis (S1)
NIM/NIDN Creators: 41519110066
Uncontrolled Keywords: Lelang Online, Apriori , K-Means, Rekomendasi, E-Commerce Online Auction, Apriori , K-Means, Recommendation, E-Commerce
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
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: WIDYA AYU PUSPITA NINGRUM
Date Deposited: 06 Aug 2024 08:40
Last Modified: 06 Aug 2024 08:40
URI: http://repository.mercubuana.ac.id/id/eprint/90055

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