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All Journal Jurnal Biologi dan Pembelajarannya (JBP) JURNAL PENGABDIAN KEPADA MASYARAKAT JURNAL ILMIAH INFORMATIKA RESEARCH : Computer, Information System & Technology Management DoubleClick : Journal of Computer and Information Technology Multitek Indonesia : Jurnal Ilmiah Jurnal Qua Teknika Jurnal Tecnoscienza Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Bulletin of Information Technology (BIT) Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal INKOFAR Jurnal Informatika Teknologi dan Sains (Jinteks) Nusantara of Engineering (NOE) Jurnal Maklumatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal INFOTEL Jurnal Pengabdian Masyarakat Nusantara
Rina Firliana
Universitas Nusantara PGRI Kediri
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation Other

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Journal : JURNAL ILMIAH INFORMATIKA

 1 
PERBANDINGAN ALGORITMA NAÏVE BAYES CLASSIFIER DAN K-NEAREST NEIGHBORS UNTUK ANALISIS SENTIMEN COVID-19 DI TWITTER Habibi Aulia Nur Syifa Habibi; Arie Nugroho; Rina Firliana
JURNAL ILMIAH INFORMATIKA Vol 11 No 01 (2023): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v11i01.7069

Abstract

COVID-19 emerged in China in 2019. In Indonesia in 2020 there were more than 3000 positive cases of COVID-19 with a mortality rate of 9.1%. The government's incomplete efforts to break the chain of the spread of COVID-19 have made people uneasy about this pandemic. Many people want to express their aspirations on social media which is considered suitable as a place that represents the aspirations of the COVID-19 pandemic. One of them is twitter. There are so many text messages sent, some positive and some negative, that it is difficult to retrieve harmonized information due to the diversity of text messages sent. One way to overcome this is with sentiment analysis. This research has processes including text preprocessing, word weighting, classification with K-Nearest Neighbors (KNN) and Naïve Bayes Classifiers (NBC) algorithms. The results obtained by KNN got an accuracy of 72.37% while NBC amounted to 67.84%. KNN is the best classification algorithm for negative sentiment classification, the negative label predicted correctly in KNN is greater, namely 393 compared to NBC which is 339. while NBC is the best algorithm for positive sentiment classification, the positive label predicted correctly NBC is 275 greater than KNN as much as 262.
Co-Authors Adhi Wicak Milbar Gamas Ady Suprapto Afandi, Zainal Agus Fatony Tohari Agus Muji Santoso Aidina Ristyawan Aldi Pratama Ami Prastyo Anis Rahmawati Amna Anita Sari Wardani Bella Putri Damayanti Cristina Juwita Agata Dewi Rahajoe Dita Riyantiin Anatasya Dita Riyantiin Anatasya Dony Setiawan Dwi Hariani Dwi Harini DWI HARINI Dwiki Nurhapy Enos Bungsenior Kamba Erna Daniati Fatkur Rhohman, Fatkur Fredi Pangestu Habibi Aulia Nur Syifa Habibi Hana Refri Gunawan Hendra Riyandoko Heru Setiawan Heru Stiawan Hesti Istiqlaliyah Hesti Mei Wulandari Intan Nur Farida Linda Elyanawati Rahayu Lutfi Abunizar M Iqbal Khalid M Najibuloh Muzzaki Moch. Nurul Hadi Muhammad Fahmi Muhammad Fikri Pratama Mukhammad Annafinurika Muzaki, Muhammad Najibulloh Nina Kasiana Nindy Vergianti Pramaisshela Nugroho, Arie Nurmala As'ari Patmi Kasih Poppy Rahmatika Primandiri Qonita Nur Rohmania Ratih Kumalasari Niswatin Reza Candra Pramadya Richo Wardana Rini Indriati Rino Adi Kurniawan Rizki Wahyu Nugroho Rr. Forijati -, Rr. Forijati Ryan Marcell Wibisono Sektio Ririn N Shandy Arshad Busro Shandy Arshad Busro Cahyono Shandy Arshad Busro Cahyono Busro Siti Mariyatul Qibtiyah Suciati Suciati Sucipto Sucipto sugandhi sugandhi saputra Sukma Fadly Nurlana Sulistiono Sutikno Sutikno Teguh Andriyanto Tri Kurniasih Ulfia Nila Vina Churotul Laili Yulva Irfan Anas Yuszril Herdianzah Yuszril Ziyan Zulfa Alim