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All Journal Marinade Jurnal Informatika dan Rekayasa Elektronik Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Canrea Journal: Food Technology, Nutritions, and Culinary Journal Dirasah : Jurnal Studi Ilmu dan Manajemen Pendidikan Islam Didaktik : Jurnal Ilmiah PGSD STKIP Subang Journal Informatic, Education and Management (JIEM) JURNAL ILMIAH EDUKATIF Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer An-Nahdlah: Jurnal Pendidikan Islam AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang eJournal Kedokteran Indonesia JURNAL ILMIAH PENDIDIKAN KEBUDAYAAN DAN AGAMA Jurnal Muara Medika dan Psikologi Klinis Jurnal Ilmiah Research Student Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Yusra
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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

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Analisa sentimen terhadap kenaikan bbm di twitter (x) menggunakan naive bayes classifier Muhammad Abdillah; Fikry, Muhammad; Yusra; Nazir, Alwis; Insani, Fitri
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6954

Abstract

In early September 2022, there was a shock from the news of the rise in fuel prices. The government decided to increase the price of fuel due to the surge in world oil prices. PT Pertamina (Persero) officially raised the price of Fuel Oil (BBM) one-third of September 2022, at 2:30 PM WIB (Western Indonesia Time). Since the decision, it has sparked opinions from the public. Many people expressed their responses through the social media platform Twitter, both in positive and negative ways. This resulted in both positive and negative sentiments from the public. The data used consisted of 3,000 tweets with the keyword "FUEL PRICE INCREASE," collected from November 1, 2022, to December 1, 2022. This research utilized the Naive Bayes Classifier method, conducted with three comparisons using thresholds ranging from 0.001 to 0.007. The experiment was conducted with three types of data testing: opinion data, mixed data (opinion-non-opinion), and balanced data. Here are the test results: for opinion data, the highest accuracy obtained was 80% with a ratio of 90:10, for mixed data, the accuracy obtained was 67.7% with a ratio of 70:30, and for balanced data, the accuracy obtained was 63.6% with a ratio of 90:10.
Co-Authors Aji Bayu Permadi Allevia Yumnanisha, Defin Aprilia, Risma Aria Kekalih Batubara, Jose Bin Roslan, Jumardi Binti Atun, Mazlinah Binti Julmohammad, Norliza Christianta, David Dahlan Darul Ilmi Eka Pandu Cynthia Eka Pandu Cynthia, Eka Pandu Eliana Emeliazola Faruqi, Muhammad Febi Yanto Febi Yanto, Febi Fithri Choirun Nisa Fitri Insani Fitri Insani Herwanto Herwanto Hesti Lestari Irianti Handayani, Supri Iswantir M Iwan Iskandar Junaidi Junaidi Lawami, Reza Haya Mandalena Markarma, A. MHD Ade Setiawan Mohd Shariff, Amir Husni Muhammad Abdillah Muhammad Fikry Muhammad Iqbal Maulana Nadya, Dhifa Khairi Nazir, Alwis Nazruddin Safaat H Noval Prasetyo Nurul Huda Putra, Wahyu Eka Ramadhani Rini Sekartini Sarah Nabila Silfia Hanani Siti Nurbaya Siti Ramadhani Siti Zuhra Solly Aryza Surya Agustian Tjahjadi, Ricky Trinovita Andraini Yelfi Vitriani Yenggi Putra Dinata Zakir, Supratman Zulfani Sesmiarni