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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 Adi Jufriansah Adi Laksono Afiyah Rifkha Rahmika Alfira Maudy Sukmaning Putri Amanda Agustyaningrum Priyadi Anggun Berliana Putri Ramadhani Anisa Yulandari Anita Ahmad Kasim Ardila, Ninda Mulya Ike Arshy Prodyanatasari Arsy, Salsa Al Avrileta, Noryfumi Cinta Ayu Hernita Ayu Hernita Bakri Bawias, Juan Sebastian Caesario Christabella Nafthalia Wardhani Della Anfa Saputri dr. AG Nugroho Pudji Lestarjo Dwi Ervi Diana Dwi Shinta Angreni Dwi, Titania Ekawati Wasis Wijayati Endah Retnani Wismaningsih Erlina, Tita Ervan Aditya Wirawan Eva Firdayanti Bisono Eva Firdayanti Bisono Fatmawati, A’yuni Nur Ferdinand Ghalib Saputra Fery Eko Pujiono Fery Pujiono Herfin, Melky Hidayat, Andra Dwitama Ilahi, Nasywa Shifi Indah Susilowati Krisnita Dwi Jayanti Krisnita Dwi Jayanti Krisnita Dwi Jayanti Mardiana Prasetyani Putri Mariani Mariani Mayang Hawwin Aphrodita Mia Ashari Kurniasari Mia Ashari Kurniasari Mohamed Fal Mohamed Fadel Mohamed Fal Mohamed Fadel Mohammad Bayu Dwi Saputro Muhammad Akbar Muhammad Atnang Muhammad Mutafanninun Muhammad Nasza Rachmadani Mukti Lestari, Tri Mulya Ike Ardila, Ninda Mu’min, Muhammad Amirul Nadya Izzaty Maulana Nadya Vira Mahmuna Ni'matu Zuliana Ni'matu Zuliana Nimatu Zuliana Ninda Mulya Ike Ardila Ni’matu Zuliana Ni’matu Zuliana Ni’matu Zuliana Nouval Trezandy Lapatta Nu'man NURHADI Nurhadi Nurhadi Nurhadi Nurhadi Nurhadi Poonwong, Prakasit Prakasit Poonwong Prakasit Poonwong Qotrunnada Fairuz Syifa An-nisa Ragilang Gema Yanuar Rahmadi, Nadifatul Rama Wahyu Susilo Putra Rengga Bagas Abhiseka Rinianty, Rinianty Risa Helilintar Rizqina Salma Tajja Aziza Thohir Roma Firmansyah Roma Firmansyah Sabarudin Saputra Saruman, Alim Surya Sri Khaerawati Nur Sri Nurcahyati Surti Suharlikah Tri Ana Ana Mulyati Tri Ana Mulyati Tri Mukti Lestari Vicky Bin Djusmin Vicky Bin Djusmin Vicky Djusmin Wahyu Putra Alfiansyah Wirdayanti Zhalwa Anggoro Qurotuaini Zidan Jihad Muhammad Zuliana, Ni'matu Zuliana, Ni’matu