Faktor Exacta
Vol 13, No 4 (2020)

Analisis Sentimen Pengguna Marketplace Bukalapak dan Tokopedia di Twitter Menggunakan Machine Learning

Irwansyah Saputra (Unknown)
RAHMAD SINGGIH AJI PAMBUDI (STMIK Nusa Mandiri)
HANAFI EKO DARONO (STMIK Nusa Mandiri)
FACHRI AMSURY (STMIK Nusa Mandiri)
MUHAMMAD RIZKI FAHDIA (STMIK Nusa Mandiri)
BENNI RAMADHAN (STMIK Nusa Mandiri)
ANGGIE ARDIANSYAH (STMIK Nusa Mandiri)

Article Info

Publish Date
16 Feb 2021

Abstract

      A collection of tweets from Twitter users about Marketplace Bukalapak and Tokopedia can be used as a sentiment analysis. The data obtained is processed using data mining techniques, in which there is a process of mining the text, tokenize, transformation, classification, stem, etc. Then calculated into three different algorithms to be compared, the algorithm used is the Decision Tree, K-NN, and Naïve Bayes Classifier with the aim of finding the best accuracy. Rapidminer application is also used to facilitate writers in processing data. The highest results from this study are Decision Tree algorithm with 82% accuracy, 81.95% precision and 86% recall.

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Journal Info
Faktor Exacta
Website

Abbrev

Faktor_Exacta

Publisher

Universitas Indraprasta PGRI

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Description

Faktor Exacta is a peer review journal in the field of informatics. This journal was published in March (March, June, September, December) by Institute for Research and Community Service, University of Indraprasta PGRI, Indonesia. All newspapers will be read blind. Accepted papers will be available ...