Search for collections on Universitas Islam Negeri Sultan Syarif Kasim Riau Repository

COMPARISON OF SERVICE AND EASE OF E-COMMERCE USER APPLICATIONS USING BERT

Afi Ghufran Yuda, - (2024) COMPARISON OF SERVICE AND EASE OF E-COMMERCE USER APPLICATIONS USING BERT. Jurnal Sistem Cerdas. ISSN 2622-8254

[img]
Preview
Text
Artikel Ilmiah Afi Ghufran Yuda.pdf

Download (1MB) | Preview

Abstract

The development of e-commerce has transformed shopping patterns by harnessing the internet, enabling consumers to shop online. In Indonesia, e-commerce has experienced rapid growth, with numerous options such as Tokopedia, Shopee, and Lazada, leading to intense competition. Sentiment analysis using machine learning techniques has become crucial for understanding consumer views on these e-commerce services. This study analyzes user comments on Tokopedia, Shopee, and Lazada e-commerce platforms from Instagram social media, totaling 3600 data comments, using the Bidirectional Encoder Representations from Transformers (BERT) model with 10, 20, and 30 epochs, a batch size of 32, and several splitting data. Sentiment analysis utilizes 3 types of labels: positive, neutral, and negative. The final results of the study include the performance analysis of the BERT model, as well as comparisons for each predefined category, namely Promotions & Offers, and Services. The final results of the model indicate good performance, with accuracy rates of 95%, 97%, and 99%, respectively.

Item Type: Article
Contributors:
ContributionNameNIDN/NIDKEmail
Thesis advisorRice Novita, -2027118501rice.novita@uin- suska.ac.id
Subjects: 000 Karya Umum
Divisions: Fakultas Sains dan Teknologi > Sistem Informasi
Depositing User: fsains -
Date Deposited: 10 Jul 2024 04:12
Last Modified: 06 Sep 2024 04:02
URI: http://repository.uin-suska.ac.id/id/eprint/81017

Actions (login required)

View Item View Item