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All Journal Jurnal Kesehatan Lingkungan indonesia Jurnal Informatika dan Teknik Elektro Terapan Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika KOMPUTEK Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JPM (Jurnal Pendidikan Modern) Borneo Student Research (BSR) Jurnal Informatika Teknologi dan Sains (Jinteks) Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Rudiman Rudiman
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Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mechanical Engineering Public Health Social Sciences Other

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Journal : KOMPUTEK

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Analisis Sentiment Cyberbullying pada media Youtube menggunakan Algoritma Naïve Bayes Muhammad Rayhan Elfansyah; Muhammad Reifin Perdana; Ikhsan Nuttakwa Takbirata Ihram Nabawi; Rudiman Rudiman
KOMPUTEK Vol 8, No 1 (2024): April
Publisher : Universitas Muhammadiyah Ponorogo

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Abstract

This research focuses on analyzing cyberbullying sentiment on YouTube using the Naive Bayes algorithm. This study involved data collection and data pre-processing techniques to analyze comments related to Manchester United. The Orange Data Mining application is used for data modeling and analysis. The research methodology and sentiment analysis using Naive Bayes are explained in detail. Data pre-processing includes steps such as removing URLs, tokenization, filtering, and normalization. Analysis uses Naïve Bayes which produces 81% accuracy, 79% precision and 81% recall. The process includes dividing the data into training data and testing data, and the results can be visualized using a confusion matrix. The references include various studies on sentiment analysis using different methods and platforms.
Analisis Sentimen Terhadap Calon Wakil Presiden Gibran Rakabuming Raka Menggunakan Algoritma Naive Bayes Muhammad Khumaidi Nursyarif; Muhamad Wahyu Tirta; Muhammad Rahman Hidayat; Rudiman Rudiman
KOMPUTEK Vol 8, No 1 (2024): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i1.2509

Abstract

The turnover of the president and vice president in Indonesia occurs every 5 years. In the year 2024, there will be an election, and one of the vice presidential candidates, listed as candidate number 2, is Gibran Rakabuming Raka, who is the son of Mr. Jokowi, currently serving as the 7th President. Many opinions have been expressed by the public regarding Mas Gibran, especially considering his age of 36 years, which is perceived as relatively young to lead the nation of Indonesia. Therefore, we intend to conduct research with the aim of identifying practical implications related to public perceptions of the potential vice presidential candidate. Data from comments on the YouTube video titled "[FULL] Gibran in Between Ganjar and Prabowo, Which One to Choose? | ROSI" underwent a classification process using the Naive Bayes algorithm for sentiment analysis. The accuracy obtained is 92.5%, with an f1 Score of 92.4%, Precision of 93.5%, and Recall of 92.5%.
Co-Authors Abdul Basir Salsabila Abdul Rahim Daramusseng, Andi Ikhsan Nuttakwa Takbirata Ihram Nabawi Indiana Nawang Yuli Safitri Ipan Hasmadi Januar Abdilah Santoso Julianur Khoirul Huda Dwi Putra Kholifah Dwi Annurrahma Kurnia Jusuf, Jeane Betty M. Riadhus Sholihin Mahardhika, Nanda Alfian Malik Fajar Muhamad Wahyu Tirta Muhammad Farhat Jundullah Muhammad Fauzan Nur Ilham Muhammad Khumaidi Nursyarif Muhammad Rahman Hidayat Muhammad Rayhan Elfansyah Muhammad Reifin Perdana Pandu Wirayuda Rafi Rahmadani Rofilde Hasudungan Syamsir Syamsir Wasiatul Aqmaliah