Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Vol 3 No 3 (2019): Desember 2019

Integrasi N-gram, Information Gain, Particle Swarm Optimation di Naïve Bayes untuk Optimasi Sentimen Google Classroom

Fajar Pramono (STMIK Nusa Mandiri Jakarta)
Didi Rosiyadi (Universitas Bina Sarana Informatika)
Windu Gata (STMIK Nusa Mandiri)

Article Info

Publish Date
02 Dec 2019

Abstract

The use of Learning Management System (LMS) applications made by Google with name Google Classroom since 2015 in junior and senior high schools in Bekasi City helps the learning process become easier. However, its use can have positive and negative effects on students. Google Class Sentiment by integrating N-grams, Information Gain, Particle Swarm Optimization, and Naïve Bayes Classifiers that have never been done by researchers before. From the experiments carried out, N-gram can increase the accuracy of 6.7% and AUC 4%, while using PSO can increase the Accuracy of 9.9% and AUC of 10.4%.

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Journal Info
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Website

Abbrev

RESTI

Publisher

Ikatan Ahli Informatika Indonesia

Subject

Computer Science & IT Engineering

Description

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat ...