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All Journal Jurnal Sistem dan Informatika Faktor Exacta Jurnal Inotera Jurnal Informatika Universitas Pamulang Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Education Technology TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Building of Informatics, Technology and Science bit-Tech Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JI-Tech Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat SENTRI: Jurnal Riset Ilmiah Abdi Jurnal Publikasi Jurnal Abdimas Maduma LOGIC : Jurnal Ilmu Komputer dan Pendidikan Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat MULTIPLE: Journal of Global and Multidisciplinary Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Jurnal Sains Komputer dan Sistem Informasi Jurnal Intelek Dan Cendikiawan Nusantara Riau Jurnal Teknik Informatika
Sartika Lina Mulani
Universitas Pamulang
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Journal : Building of Informatics, Technology and Science

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Analisis Sentimen Kenaikan Harga BBM Pertamax Pada Media Sosial Menggunakan Metode Naïve Bayes Classifier Sitio, Sartika Lina Mulani; Nadiyanti, Ria
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2311

Abstract

Fuel Oil (BBM) is a very vital commodity. Fuel has an important role in people's lives. Because of the importance of fuel in people's lives, fuel is one of the basic needs of the community. The policy of increasing the price of fuel has always been a phenomenon in various media which causes pros and cons in society. The policy of increasing fuel prices has a big impact on society, both direct and indirect consumption. This study aims to explore public opinion, whether it shows negative or positive sentiment in the policy of increasing fuel prices. The increase in Pertamax fuel prices has drawn several opinions from citizens on Facebook social media. Sentiment analysis research was conducted to determine the response to Facebook comments on Brilio.Net accounts in 2022 related to the increase in Pertamax fuel prices with a dataset of 799 data, as well as a comparison of the number of positive, negative, and neutral comments. In addition, in this study to be able to determine the level of performance generated by the nave Bayes classifier method in the test. The author uses 80% of the comment dataset to be used as training data and 20% to be used as test data to be used as machine learning and test data. Then the data is classified by the system using orange data mining tools so as to produce a percentage of positive sentiment as much as 19%, negative sentiment as much as 22% and neutral sentiment as much as 59%. testing with the nave Bayes classifier method obtained the highest percentage accuracy rate of 99% from all datasets.
Co-Authors Abdullah, Nazar Fadhil Ahmad Al Khaidar Ahmad Arifin Ahmad Arifin Arifin Andika Gustiawan Anshar Daud apriyanto, budi Aries Saifudin Aries Saifudin Ariya Aritonang Bachtiar, Muhammad Rivaldi Bakri, Asri Ady Bima Guntara Citra Fitri Miladiyah Darmawati Delfi Yuliana Tanu Deny Setiawan Destin Mahardika Wijayanti Diki, Muhammad Asshidiqie Efronius Paduansi Eka Safitri, Andin Entis Sutrisna Faizi, Billy Nur Fajar Agung Nugroho Farida Nurlaila Fathahillah, Dharma Fauzan, Wildan Tino Fernando Gama Fikri Alfiansyah Fiqih Wijaya Genta Rausan Fikri Hardiansyah Hermansyah, Testarina Tatiana hidayatullah Al Islami Ilham Pratama Ilham, Farizi Irpan Kusyadi Irpan Kusyadi Kusyadi Iwan Giri Waluyo Joko Suwarno Judijanto, Loso Julianus Alfario Junianto, Mochamad Bagoes Satria Lely Panca Andriyanto Mahir, Shafa mohadib mohadib MUHAMMAD AGIL Muhammad Asshidiqie Diki Nadiyanti, Ria Nanang Nanang Nardiono Nardiono Nardiono Nardiono Nardiono, Nardiono Neco, Abed Nurba, Achmad S.W.A Nurhasanah Pratama, Muhamad Shafly Putra, Muhammad Chesta Adabi Ramadhani, Rizky Reza Fazriansyah Ridwan Rizki Maulana, Rizki Saputra, Firman Aziz Sariadi, Slamet Solihin Solihin Suryaningrat, Suryaningrat Susanna Dwi Yulianti K Suwarno Herry, Ayni Syahrul Ghufron Ramadhan Syarif Hidayatullah Teti Desyani Teti Desyani Desyani Wahyu Aldi Putra Widia Novita Sari Willis Puspitasi Sari Yuda Samudra Yulianti Yulianti Yulianti Yulianti Yulianti Yulianti Zakaria, Hadi