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HOAX DETECTION AT SOCIAL MEDIA WITH TEXT MINING CLARIFICATION SYSTEM- BASED by Sucipto Sucipto Submission date: 11-Dec-2020 07:03PM (UTC+0700) Submission ID: 1472004535 File name: Extracted_pages_from_9._Cover_Jurnal_Vol_3_No_2.pdf (311.16K) Word count: 2101 Character count: 11028

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Page 1: BASED CLARIFICATION SYSTEM- MEDIA WITH TEXT MINING …

HOAX DETECTION AT SOCIALMEDIA WITH TEXT MININGCLARIFICATION SYSTEM-

BASEDby Sucipto Sucipto

Submission date: 11-Dec-2020 07:03PM (UTC+0700)Submission ID: 1472004535File name: Extracted_pages_from_9._Cover_Jurnal_Vol_3_No_2.pdf (311.16K)Word count: 2101Character count: 11028

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6%SIMILARITY INDEX

3%INTERNET SOURCES

5%PUBLICATIONS

3%STUDENT PAPERS

1 1%

2 1%

3 1%

4 1%

5 1%

6 1%

HOAX DETECTION AT SOCIAL MEDIA WITH TEXT MININGCLARIFICATION SYSTEM-BASEDORIGINALITY REPORT

PRIMARY SOURCES

Submitted to Binus University InternationalStudent Paper

www.walsnet.orgInternet Source

Yakup Kutlu, Damla Kuntalp. "A multi-stageautomatic arrhythmia recognition andclassification system", Computers in Biology andMedicine, 2011Publication

Mia Huljanah, Zuherman Rustam, SuarsihUtama, Titin Siswantining. "Feature Selectionusing Random Forest Classifier for PredictingProstate Cancer", IOP Conference Series:Materials Science and Engineering, 2019Publication

www.popekim.comInternet Source

www.springerprofessional.deInternet Source

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Des Suryani, Ahmad Hidayat, AuseLabellapansa, Setia Wulandari. "Data MiningClassification of Intelligence Quotient in HighSchool Students", 2018 Third InternationalConference on Informatics and Computing(ICIC), 2018Publication