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All Journal Jurnal Pseudocode PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JSAI (Journal Scientific and Applied Informatics) DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Komputer, Informasi dan Teknologi International Journal of Education and Social Science (IJESS) Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JURNAL BESEMAH Cendikia Pendidikan RESLAJ: Religion Education Social Laa Roiba Journal JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) JCOSIS (Journal Computer Science and Information Systems)
Ardi wijaya
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Journal : RESLAJ: Religion Education Social Laa Roiba Journal

 1 
Perbandingan Particle Swarm Optimization Dan Naive Bayes Terhadap Sentimen Instagram Pada Pemilihan Presiden Ardi Wijaya; Metrisza Yona Saputra; Pahrizal
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 1 (2025): RESLAJ: Religion Education Social Laa Roiba Journal 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i1.5327

Abstract

This research aims to compare the performance of two analysis techniques, namely Particle Swarm Optimization (PSO) and Naive Bayes, in evaluating public sentiment on Instagram after the 2024 presidential election. PSO is used to optimize important features in sentiment analysis, while Naive Bayes is used as a comparison for assess PSO performance. Data was obtained from user uploads, comments and interactions on Instagram regarding the presidential election. After data collection and pre-processing, significant features are extracted and both methods are applied for sentiment analysis. Evaluation was carried out to compare the Akurasi and performance of the two methods. The research results show that PSO has the potential to improve the Akurasi of sentiment analysis compared to Naive Bayes. This research provides in-depth insight into the advantages and disadvantages of each method in the context of sentiment analysis on the Instagram platform after the presidential election, as well as an important contribution to data-based political decision making.
Co-Authors Aji Setiyadi Apridiansyah, Yovi Aripun Army Martia Harjuna Bryan Febriansyah Chandra Kusuma Johan2 Darnita, Yulia Daryono, Basofi Rachmadani Dendi Pranata, Dendi Pranata Dendy Pratama Diana Dimas Andrean Saputra Eka Sahputra Elly Hertita fadila, selvana Gading Cempaka Gunawan Guntur Alam Habiel Fachrozzy Harry Witriyono Heru Franata hidayah, agung kharisma Imelia Okta Rama Yanti Jerry Ario Zhonata Jestika Safitri Kusuma Putra Al Pharisie Lestri Yanti Liza nurpatmala M Yusuf Ramadhan Marhalim Maskuri Sutomo Metrisza Yona Saputra Mohammad Candra wiliam Muhamad Abdul Fajri Muhammad Husni Rifqo Muhammad Kurrata A’yunin Muhammad Rafi Aldan Pratama Muhammad Teguh Satrio Muntahanah, Muntahanah Nhadya Vita Loca Noris Feter Novan Gilang Ramadhan Nuri David Maria Veronika Nuri David Maria Veronika Pahrizal Pahrizal Pahrizal Pandu Sujaba Putri Rahma Della Rajes Andika Putra Ramzi, Reja Muhamad Randi Trio Ardiansyah Ridho Akbar rindy, rindy balincha Rosalina Rosalina Rozali Toyib Safitri, Aisyah Seftianto Sonita, Anisya Surya Ade Saputera Venny Arisi Vicky Victori Yoga Muhamad Aryanto Yoga Saputra Yovi Apridiyansyah Yudha, Bima Satria Yulia Darmi Yusrizal Yusrizal