Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Vol 19 No 3 (2021): September 2021

PERANCANGAN APLIKASI KLASIFIKASI SENTIMEN BERBASIS WEB TERHADAP MATA UANG KRIPTO

Fahmi Ilmawan Sulaiman (Program Magister Teknik Informatika Universitas Amikom Yogyakarta)
Wing Wahyu Winarno (Program Magister Teknik Informatika Universitas Amikom Yogyakarta)
Mei Parwanto Kurniawan (Program Magister Teknik Informatika Universitas Amikom Yogyakarta)



Article Info

Publish Date
20 Nov 2023

Abstract

Sentiment analysis is a collection of opinions that studies opinions about something like an issue, product, event or topic. In deciding to choose cryptocurrency, the majority of Indonesian people tend to only read the latest reviews about cryptocurrencies and even a few will lead to wrong conclusions. To analyze cryptocurrency sentiment easily and quickly, a sentiment analysis system with a convenient and easy-to-use interface is required. The application to analyze this sentiment is web-based which is made using the PHP (Hypertext Preprocessor) framework by applying the MVC (Model View Controller) concept. This application can import data in CSV format which is then processed into an application using the nave Bayes algorithm in the sentiment classification process which is then evaluated by the confusion matrix method. The reviews are taken from social media twitter and it is hoped that this application will be able to provide classification information accurately, precisely and reliably.

Copyrights © 2021






Journal Info

Abbrev

fahma

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Jurnal FAHMA adalah jurnal yang memuat naskah ilmiah dari peneliti, akademisi, maupun praktisi, berupa hasil penelitian, tinjauan pustaka ( literature review ) dan/atau bentuk karya tulis ilmiah lainnya, yang khusus mengkaji bidang Ilmu Komputer antara lain sebagai berikut : Kecerdasan Buatan, ...