UMM Institutional Repository

ANALISA SENTIMEN TWEET BERBAHASA INDONESIA DENGAN MENGGUNAKAN METODE PEMBOBOTAN HYBRID TF-IDF PADA TOPIK TRANSPORTASI ONLINE

Wahyunita, Sari (2018) ANALISA SENTIMEN TWEET BERBAHASA INDONESIA DENGAN MENGGUNAKAN METODE PEMBOBOTAN HYBRID TF-IDF PADA TOPIK TRANSPORTASI ONLINE. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

[img]
Preview
Text
Pendahuluan.pdf

Download (952kB) | Preview
[img]
Preview
Text
BAB I.pdf

Download (377kB) | Preview
[img]
Preview
Text
BAB II.pdf

Download (786kB) | Preview
[img]
Preview
Text
BAB III.pdf

Download (1MB) | Preview
[img] Text
BAB IV.pdf
Restricted to Registered users only

Download (1MB)
[img] Text
BAB V.pdf
Restricted to Registered users only

Download (123kB)
[img] Text
Lampiran.pdf
Restricted to Registered users only

Download (1MB)

Abstract

In recent years, there are same new companies which uses android applications in their service process or commonly called with online based transportation. This case do for improve their service to online based transportations customers. The presence of online based transportation like Gojek, Grab, and Uber inflict social problem between online based transportations drivers with non-aplication based transportations drivers. The is due to most of the people change over to online based transportation, so non-aplication based transportations drivers income decreased. In this research, sentiment analysis against Indonesian tweets about online based transportation by using Hybrid TF-IDF weighting method and kNN classification method. The best cross validation result on the test k variable are k=5 with accuracy value of 70%, positive class precision 68%, negative class precision 75%, positive class recall 82%, negative class recall 59%, positive class f-measure 74%, and negatif class f-measure 65%.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201310370311014
Keywords: transportation like Gojek, Grab, and Uber inflict social problem between online based transportations drivers with non-aplication based transportations drivers.
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Sulistyaningsih Sulistyaningsih
Date Deposited: 17 Nov 2018 02:02
Last Modified: 17 Nov 2018 02:02
URI : http://eprints.umm.ac.id/id/eprint/40239

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo