Techno Nusa Mandiri : Journal of Computing and Information Technology
Vol 17 No 2 (2020): TECHNO Period of September 2020

SENTIMENT ANALYSIS ON TWITTER OF PSBB EFFECT USING MACHINE LEARNING

Irwansyah Saputra (STMIK Nusa Mandiri)
Jose Andrean Halomoan (Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri)
Adam Bagusmugi Raharjo (Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri)
Cyra Rezky Ananda Syavira (Sekolah Tinggi Manajemen Informatika dan Komputer Nusa Mandiri)

Article Info

Publish Date
15 Sep 2020

Abstract

A collection of tweets from Twitter users about PSBB can be used as sentiment analysis. The data obtained is processed using data mining techniques (data mining), 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 to find the best accuracy. Rapidminer application is also used to facilitate writers in processing data. The highest results from this study were the Decision Tree algorithm with an accuracy of 83.3%, precision 79%, and recall 87.17%.

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Journal Info
Techno Nusa Mandiri : Journal of Computing and Information Technology
Website

Abbrev

techno

Publisher

Universitas Nusa Mandiri

Subject

Computer Science & IT

Description

Jurnal TECHNO Nusa Mandiri, merupakan Jurnal yang diterbitkan oleh Pusat Penelitian Pengabdian Masyarakat (PPPM) STMIK Nusa Mandiri Jakarta. Jurnal TECHNO Nusa Mandiri, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh dosen-dosen program studi Teknik ...