J-SAKTI (Jurnal Sains Komputer dan Informatika)
Vol 6, No 2 (2022): EDISI SEPTEMBER

Klasifikasi Opini Pengguna Media Sosial Twitter Terhadap JNT Di Indonesia dengan Algoritma Decision Tree

Widiyanto Tri Handoko (Universitas Stikubank, Indonesia)
Edy Supriyanto (Universitas Stikubank, Indonesia)
Dimas Indra Purwadi (Universitas Stikubank, Indonesia)
Zuly Budiarso (Universitas Stikubank, Indonesia)
Hersatoto Listiyono (Universitas Stikubank, Indonesia)

Article Info

Publish Date
27 Sep 2022

Abstract

JNT Ekspress is one of the many freight forwarding companies that exist today, where JNT has very wide access so it is very easy to use for the public in shipping goods. With the current network, JNT is able to deliver goods to all provinces in Indonesia. With the large number of users, of course there will be a lot of user opinions that appear, both positive and negative opinions. In order to be able to categorize multiple opinions, a machine learning program is needed that can simplify the process of grouping the opinion. There are many algorithms that can be used to classify opinions, one of them is Decision Tree. Prior to grouping or classification, Tweet data that has been collected needs to be preprocessed first so that the tweet data can be recognized by the system. Based on this research, the Decision Tree algorithm gets an accuracy of 94.12% with a comparison ratio of training data and testing data of 90:10

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Journal Info
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Website

Abbrev

jsakti

Publisher

Sekolah Tinggi Ilmu Komputer Tunas Bangsa

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Description

J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun ...