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All Journal Jurnal Teknik Komputer AMIK BSI JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Infortech Jurnal AbdiMas Nusa Mandiri Media Jurnal Informatika Jurnal Informatika Terpadu Computer Science (CO-SCIENCE) Paradigma Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat
Mugi Raharjo
UNIVERSITAS NUSA MANDIRI
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Library & Information Science Mathematics Physics Social Sciences Other

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Journal : Paradigma

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Perbandingan Algoritma Dengan Particle Swarm Optimization Untuk Analisis Sentimen Pada Peraturan PSBB di Indonesia Mugi Raharjo; Jordy Lasmana Putra; Tommi Alfian Armawan Sandi; Musriatun Napiah
Paradigma Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.243 KB) | DOI: 10.31294/paradigma.v24i1.968

Abstract

The pandemic has given rise to new rules and terms in society. Various countries have their own regulations, including Indonesia with the name PSBB for that, the author tries to conduct research related to the PSBB condition in Indonesia with the intent and purpose of knowing people's sentiments towards it, the authors carry out this modeling positively and negatively. model in a tweet on Twitter. We capture information through Twitter media which then we process the data so that it is ready to be tested on the algorithm used. In data collection and processing, we use a fast miner application. In this study, Naive Bayes,KNN,and SVM were used. We also did a model comparison with Particle Swarm Optimization. model 1 tested three algorithms using a 0.7-0.8 ratio validation and 10-fold cross-validation, In Model 2 the author used a selection feature, namely Particle swarm Optimization where PSO was used as optimization. From the second model, the accuracy is 88.00%. for SVM + PSO, 88.54%% for NB + PSO and 81.58% for K -NN + PSO. And after testing the 2 methods, it turns out that Naive Bayes + PSO has the highest level of accuracy and precision
Co-Authors Alwi Nur Hafidz Arfhan Prasetyo Erwin Dwi Setiawan Evita Fitri Fauzi Rizki Arbie Hani Harafani Ibnu Ansori Jekri Pefriand Jordy Lasmana Putra Laga Kamalmalik Muhamad Hasan Musriatun Napiah Rachmat Adi Purnama Rian Septian Anwar Ridwansyah Rifaldi Aldori Susafa'ati Susafa'ati Susafa’ati Susafa’ati Tommi Alfian Armawan Sandi Waeisul Bismi WITRIANA ENDAH PANGESTI