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All Journal ARKESMAS [Arsip Kesehatan Masyarakat] JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Kreativitas PKM Indonesia Berdaya Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Jurnal Teknologi Kesehatan Indonesian Journal of Health Information Management (IJHIM) Sehat Rakyat: Jurnal Kesehatan Masyarakat Journal Health Information Management Indonesian Journal of Novel Engineering Science and Technology Electronic Journal of Education, Social Economics and Technology Information Technology International Journal (ITIJ) Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi JENGGALA: Jurnal Riset Pengembangan dan Pelayanan Kesehatan Jurnal Rekam Medis dan Informasi Kesehatan Indonesia Sasambo: Jurnal Abdimas (Journal of Community Service)
Deni Luvi Jayanto
Universitas Tadulako
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach Mariani, Mariani; Angreni, Dwi Shinta; Nur, Sri Khaerawati; Rinianty, Rinianty; Jayanto, Deni Luvi
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9260

Abstract

This study analyzes public sentiment regarding candidates in the 2024 DKI Jakarta Gubernatorial Election utilizing a Support Vector Machine (SVM) approach. Recognizing the pivotal role of social media, particularly Twitter, in shaping public opinion, the research addresses the challenges of processing large volumes of unstructured data. Through systematic data preprocessing and feature extraction, the SVM model was applied, achieving a sentiment classification accuracy of 70%. The analysis revealed a distribution of sentiments where 36.1% of comments were positive, 33.4% negative, and 30.5% neutral. These findings illustrate the complexities of public discourse surrounding key political events, highlighting the model's efficacy and the nuances of sentiment detection. Moreover, discussions on model limitations elucidate areas for enhancement, suggesting future avenues including the adoption of more sophisticated algorithms and improved data processing techniques. This research contributes to the understanding of voter sentiment dynamics in a significant electoral context, providing insights that may assist campaign strategies and political analyses in Indonesia.
Co-Authors Abhiseka, Rengga Bagas Adi Jufriansah Adi Laksono Afiyah Rifkha Rahmika An-nisa, Qotrunnada Fairuz Syifa Anisa Yulandari Anita Ahmad Kasim Aphrodita, Mayang Hawwin Ardila, Ninda Mulya Ike Arshy Prodyanatasari Arsy, Salsa Al Avrileta, Noryfumi Cinta Ayu Hernita Bakri Bawias, Juan Sebastian Caesario Christabella Nafthalia Wardhani Diana, Dwi Ervi dr. AG Nugroho Pudji Lestarjo Dwi Shinta Angreni Dwi, Titania Ekawati Wasis Wijayati Endah Retnani Wismaningsih Erlina, Tita Ervan Aditya Wirawan Eva Firdayanti Bisono Eva Firdayanti Bisono Fadel, Mohamed Fal Mohamed Fatmawati, A’yuni Nur Fery Eko Pujiono, Fery Eko Fery Pujiono Herfin, Melky Hidayat, Andra Dwitama Ilahi, Nasywa Shifi Indah Susilowati Krisnita Dwi Jayanti Krisnita Dwi Jayanti Krisnita Dwi Jayanti Kurniasari, Mia Ashari Mardiana Prasetyani Putri Mariani Mariani Mia Ashari Kurniasari Mohamed Fal Mohamed Fadel Mohammad Bayu Dwi Saputro Muhammad Akbar Muhammad Atnang Muhammad Mutafanninun Mukti Lestari, Tri Mulya Ike Ardila, Ninda Mu’min, Muhammad Amirul Nadya Izzaty Maulana Nadya Vira Mahmuna Nimatu Zuliana Ninda Mulya Ike Ardila Ni’matu Zuliana Ni’matu Zuliana Nouval Trezandy Lapatta Nu'man Nurhadi NURHADI Nurhadi Nurhadi Nurhadi Nurhadi Poonwong, Prakasit Prakasit Poonwong Priyadi, Amanda Agustyaningrum Putri, Alfira Maudy Sukmaning Qurotuaini, Zhalwa Anggoro Rachmadani, Muhammad Nasza Rahmadi, Nadifatul Rama Wahyu Susilo Putra Ramadhani, Anggun Berliana Putri Rinianty, Rinianty Risa Helilintar Roma Firmansyah Sabarudin Saputra Saputra, Ferdinand Ghalib Saputri, Della Anfa Saruman, Alim Surya Sri Khaerawati Nur Sri Nurcahyati Surti Suharlikah Thohir, Rizqina Salma Tajja Aziza Tri Ana Ana Mulyati Tri Ana Mulyati, Tri Ana Tri Mukti Lestari Vicky Bin Djusmin Vicky Bin Djusmin Vicky Djusmin Wahyu Putra Alfiansyah Wirdayanti Yanuar, Ragilang Gema Zidan Jihad Muhammad Zuliana, Ni'matu Zuliana, Ni’matu