SIGMA: Information Technology Journal
Vol 10 No 4 (2019): Desember 2019

ANALISA TINGKAT KEPUASAN PELANGGAN TERHADAP PENJUALAN BEAUTY PRODUK PADA ONLINE SHOP DENGAN MENGGUNAKAN METODE NAIVE BAYES

Donny Maulana (Unknown)
Emi Lia Nurjanah (STT Pelita Bangsa)



Article Info

Publish Date
20 Jun 2019

Abstract

The development of technology is now making it easier and pampering humans, one example that we have known for a long time is shopping online. Besides that customer satisfaction becomes the main target in the business world, because customers are the main foundation in the establishment of a company and become the main goal. Efforts to improve customer satisfaction services in one of the stores in the biggest marketplace in shopee namely DeBeautyHouse, the authors analyze the level of satisfaction in the online shop through existing assessment data, as for the attributes that affect customer satisfaction, namely, product name, product type, product quality , product prices and product shipments. The method used in this study is Naive Bayes to determine the level of data accuracy. The results of this study obtained an accuracy rate of 96.00% with a recall value of 95,24% and a percision value of 100,00%. Keywords : Customer Satisfaction, Online Shop, Naive Bayes

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Journal Info

Abbrev

sigma

Publisher

Subject

Computer Science & IT

Description

SIGMA: Information Technology Journal merupakan jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Informatika Universitas Pelita Bangsa sebagai salah satu wadah publikasi bagi dosen-dosen yang memiliki penelitian ilmiah di bidang Teknik Informatika, Ilmu Komputer, Sistim Informasi, Artificial ...