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All Journal Media Ilmu Keolahragaan Indonesia Journal of Physical Education Health and Sport Sistemasi: Jurnal Sistem Informasi Scholaria: Jurnal Pendidikan dan Kebudayaan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Triadik Gelanggang Olahraga: Jurnal Pendidikan Jasmani dan Olahraga (JPJO) JURNAL PENDIDIKAN TAMBUSAI JUARA : Jurnal Olahraga JURIKOM (Jurnal Riset Komputer) Jurnal Bidan Komunitas ACTIVE: Journal of Physical Education, Sport, Health and Recreation Journal of Physical Education and Sports Mobile and Forensics Respati Madani : Indonesian Journal of Civil Society Journal of Research and Educational Research Evaluation Community Empowerment Indonesian Journal of Sport Management Indonesian Journal for Physical Education and Sport Prosiding Seminar Nasional Pascasarjana Proceeding of International Conference on Science, Education, and Technology Journal Of Artificial Intelligence And Software Engineering Aisyah Journal Of Physical Education
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Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Library & Information Science Mathematics Neuroscience Physics Public Health Social Sciences Other

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Journal : Journal Of Artificial Intelligence And Software Engineering

 1 
Analisis Sentimen Pengguna Media Sosial Terhadap Pemilihan Presiden 2024 Dengan Metode Naive Bayes Classifier Rumini, Rumini
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6679

Abstract

Dengan semakin berkembangnya penggunaan media sosial sebagai sarana komunikasi publik, banyak opini, komentar, dan sentimen yang disampaikan secara terbuka. Namun, volume data yang besar serta penggunaan bahasa informal di platform ini menimbulkan kesulitan dalam memahami sentimen secara efektif. Dampak dari permasalahan ini adalah kurangnya pemahaman yang akurat tentang preferensi politik masyarakat, yang dapat memengaruhi strategi kampanye dan kebijakan publik. Oleh karena itu, diperlukan sebuah metode untuk mengklasifikasikan sentimen secara lebih efektif dari data yang tidak terstruktur. Untuk menyelesaikan masalah tersebut, penelitian ini menggunakan algoritma Naive Bayes Classifier untuk mengklasifikasikan sentimen tweet menjadi tiga kategori: positif, netral, dan negatif. Dengan menggunakan dataset yang terdiri dari 1.945 data hasil crawling dan melalui representasi teks menggunakan Bag of Words (BoW) serta TF-IDF, penelitian ini menunjukkan bahwa algoritma Naive Bayes berhasil mengklasifikasikan sentimen positif, netral, dan negatif secara efektif, terutama pada ulasan negatif dan netral. Model Naive Bayes dengan BoW terbukti memiliki akurasi keseluruhan sebesar 90,15%, dengan keseimbangan yang lebih baik antara precision dan recall dibandingkan model dengan TF-IDF.
Public Sentiment Analysis on the Launch of Danantara Using Support Vector Machine (SVM) Algorithm Based on Data from the X Social Media Platform Fernando, Ziagy Aji; Rumini, Rumini; Susanto, Tri
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember (On Progress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8496

Abstract

Efficient management of national wealth and resources is key to realizing the welfare of the Indonesian people. The Daya Anagata Nusantara Investment Management Agency (BPI Danantara) was established as a strategic institution aimed at optimizing government investments to drive national economic growth. The launch of the Danantara Project has sparked various public responses, particularly on the social media platform X, which has become a space for citizens to express their opinions on government policies. This study aims to analyze public sentiment toward the Danantara Project using the Support Vector Machine (SVM) algorithm. By processing 3,152 posts from the period of February 24 to April 4, 2025, the SVM model demonstrated strong performance with an accuracy of 87%. The research findings indicate that positive sentiment is quantitatively more dominant, reflecting public expectations of national investment progress and strategic project management. However, negative sentiment is also quite significant, highlighting issues of corruption, lack of transparency, and potential project failure.
Co-Authors A.A. Ketut Agung Cahyawan W Abdillah, Rusli Abidarin Rosidi Adzalika, Ayu Reza Agung Wahyudi Ahmad Alwi Nurudin Ahmad Alwi Nurudin Aisyah, Hanif Akhirmaini, Zelda Akhyar, Mohammad Alam, Bima Tangguh Alfath, Abisakha Saif Ali Mustofa Alirman Sarpan Amalia, Ikhlasul Ansori, Ikhsan Anwar Anwar Aprilandri, Gusti Aprilia, Nurazmi Aribowo, Dhany Suhartantyo Ariyadi, Jamal Imam Asmoro, Jimy Purbo Bambang Priyono Billy Castyana, Billy bubunrum@gmail.com, Irda Dewi, Sila Cahya Dina Maulina Donny Firmansyah Dwinanda Saputra, Ahmad Faris Eunike Raffy Rustiana Fakhruddin Fakhruddin Farah Nur Oktavia Febriyanto, Dimas Bayu Fernando, Ziagy Aji Gema, Abdul Rachim Gilang, Meillenio Agung Gumono Gumono, Gumono Handoko, Lovi Harry Pramono, Harry Harsono, Tri Nur Heny Setyawati Hermahayu Hidayah, Ayu Nur Ilman Zuda Septiawan Imawati, Veni Indriyanti Indriyanti, Indriyanti Irawan, Fredi Januarto, Khoerul Rohman Jiven, Firza Findia Kasmudi, Udin Khotibul Umam Kusuma, Donny Wira Yudha Kusuma, Prita Widia Lesmana, Dian Lukmanul Hakim Luthfi, Auliya Ma'muroh, Ma'muroh Mardanto, Langgeng Asmoro Budi Mugi Hartono Nasuka Nasuka, Nasuka Norhikmah Norhikmah Oktia Woro Kasmini Handayani Pambudi, Satrio Rilo Parista, Vivi Septiana Patria, Lalu Demung Pradana, Sulistyo Pradana, Toufan Wahyu Pramandhika, Reddy Prasepty, Winda Pratama, Rifqy Rayhan Andi Riga Pratiwi, Adinda Resta Putri pratiwi, Debby Purnomo, Galih Puspita Sari, Ika Endah Putra, Hamdika Rachman, Imaniar Ranu Baskora Aji Putra Ria Lumintuarso Rizki SP, Tri Agustin Wulandari Roas Irsyada, Roas roni, Ahmad Sya'roni S.Pd. M Kes I Ketut Sudiana . Said Junaidi Saputra, Irawan Hadi Saputro, Irfan Toni Satria Armanjaya Seran, Yohanes Arka Maria Setya Rahayu Shodikin, Shodikin Siti Baitul Mukarromah Siti Hajar SOEGIYANTO Soegiyanto Soegiyanto, Soegiyanto Sudarmawan, Sudarmawan Sugiharto - Sugiharto Sugiharto Sugiharto Sugiharto Sukestiyarno, Y.L Sulaiman Sulaiman Suratman Suratman Tandiyo Rahayu Taufiq Hidayah Taufiq Hidayah Tommy Soenyoto Tri Rustiadi, Tri Tri Susanto Ucu Muhammad Afif Wahyuli, Wahyuli Wardhana, Ajie Kusuma Wibowo, Ristianto Adi Wicaksono, Restu Aji Wicaksono, Wisnu Widy Astuti, Widy Winara Winara Winasis, Probo Wiwit Kurniawan, Wiwit Wiyono, Indra Zahirma, Mutia Zola, Nicko