JUSS (Jurnal Sains dan Sistem Informasi)
Vol. 2 No. 2 (2019): Jurnal Sains dan Sistem Informasi

Analisis Sentimen Online Review Pengguna Bukalapak Menggunakan Metode Algoritma TF-IDF

Utomo, Pradita Eko Prasetyo (Unknown)
Manaar, Manaar (Unknown)
Khaira, Ulfa (Unknown)
Suratno, Tri (Unknown)



Article Info

Publish Date
05 Nov 2021

Abstract

Bukalapak is one of the Customer-To Customer (C2C) e-commerce models. This model is the most widely applied and found on e-commerce sites in Indonesia. The Customer-To Customer (C2C) market is currently still dominant in Indonesia's online retail market. Data collected from Euromonitor estimates that the C2C market contributed 3% of the retail market in Indonesia in 2017, while the B2C market contributed 1.7%. One text mining analysis is that sentiment analysis can be applied to companies that issue a product or service and provide services to receive opinions (feedback) from consumers for the product. Sentiment analysis is applied to classify positive, negative, and neutral feedback from consumers so as to speed up and simplify the company's task to review their product deficiencies. The researcher conducted further analysis on Bukalapak user reviews to find out how user comments or opinions were on Bukalapak using the TF-IDF Algorithm method. And it can be concluded that based on customer review reviews in Bukalapak have a good rating or perception of this Vans shoe product. Can be seen from the results of Sentiments, Sentiment Visualization and WordCloud Visualization which shows that positive reviews have a higher frequency of 70%.

Copyrights © 2019






Journal Info

Abbrev

JUSS

Publisher

Subject

Description

JUSS covers a broad range of topics in Information Systems and Computer Science, including but not limited to the following areas: 01. Software Engineering 02. Decision Support Systems 03. Information Systems Security 04. Artificial Intelligence 05. Data Analytics and Visualization 06. Data Science ...