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primary topic: http://digilib.uin-suka.ac.id/id/eprint/76836

http://digilib.uin-suka.ac.id/id/eprint/76836
type: Thesis
type: Article
title: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA)
abstract: Text classification is the process of grouping text data into specific categories based on the characteristics of the words or language patterns they contain. User activity on social media platform X generates a large amount of unstructured text data, necessitating a classification method to identify the content types of tweets. Tweets related to the K-pop group aespa were classified into four categories: Information, Opinion/Expression, Fandom Interaction, and Promotion using the Decision Tree and Random Forest algorithms with Term Frequency-Inverse Document Frequency (TF-IDF) feature representation. The research dataset consisted of 2,304 tweets scraped and manually labeled. Preprocessing steps included cleaning, tokenization, stopword removal, and stemming, followed by feature extraction using TF-IDF. The evaluation results showed that the Decision Tree algorithm achieved an accuracy of 70%, while the Random Forest algorithm achieved an accuracy of 75%. These results indicate that Random Forest outperformed Decision Tree in the multiclass classification of tweet data related to the group aespa on social media platform X.
date: 2026-06-04
status: published
author list: authors
type: EPrint
type: ThesisEPrint
is part of: repository
has document: http://digilib.uin-suka.ac.id/id/document/1057255
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has document: http://digilib.uin-suka.ac.id/id/document/1061248
subject: 515.6 Metode Analitik - Matematika

http://digilib.uin-suka.ac.id/id/document/1057255
type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Text)
has file: 22106010009_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
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type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Text)

UIN SUNAN KALIJAGA YOGYAKARTA
type: Organization

FAKULTAS SAINS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA
type: Organization

NIM.: 22106010009 Jamila Maulida Sholichati
type: Person
given name: NIM.: 22106010009
family name: Jamila Maulida Sholichati

http://digilib.uin-suka.ac.id/id/document/1061241
type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061242
type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061243
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label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061244
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label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061245
type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061246
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label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061247
type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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http://digilib.uin-suka.ac.id/id/document/1061248
type: Document
label: ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA) (Other)
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https://digilib.uin-suka.ac.id/id/eprint/76836/
title: HTML Summary of #76836 ANALISIS KINERJA ALGORITMA DECISION TREE DAN RANDOM FOREST PADA KLASIFIKASI MULTIKELAS CUITAN X MENGGUNAKAN TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF) (STUDI KASUS: DATA CUITAN TERKAIT GRUP K-POP AESPA)
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primary topic: http://digilib.uin-suka.ac.id/id/eprint/76836

515.6 Metode Analitik - Matematika
type: Concept