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All Journal Jurnal Algoritma Jurnal sistem informasi, Teknologi informasi dan komputer Format : Jurnal Imiah Teknik Informatika Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Teknik Komputer AMIK BSI JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Pilar Nusa Mandiri Jurnal Mitra Manajemen JURNAL ILMIAH INFORMATIKA Jurnal Teknik Informatika UNIKA Santo Thomas Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) EDUMATIC: Jurnal Pendidikan Informatika JISICOM (Journal of Information System, Infomatics and Computing) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi ScientiCO : Computer Science and Informatics Journal Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal of Applied Multimedia and Networking JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Indonesian Journal for Social Responsibility Jurnal Infortech Jurnal AbdiMas Nusa Mandiri Jurnal Dialektika Informatika (Detika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Computer Science (CO-SCIENCE) Technologic J-SAKTI (Jurnal Sains Komputer dan Informatika) INSANtek – Jurnal Inovasi dan Sains Teknik Elektro JUSTIN (Jurnal Sistem dan Teknologi Informasi) Madiun Spoor : Jurnal Pengabdian Masyarakat Newton : Networking And Information Technology Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Algoritma Paradigma Al-Ijtima: Jurnal Pengabdian Kepada Masyarakat Journal of Innovative and Creativity Al-Ijtimā: Jurnal Pengabdian Kepada Masyarakat TECHNOLOGIC Jurnal Infortech Jurnal Esensi Infokom : Jurnal Esensi Sistem Komputer dan Informasi
Jordy Lasmana Putra
Universitas Bina Sarana Informatika
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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
Perbandingan Algoritma Dengan Particle Swarm Optimization Untuk Analisis Sentimen Pada Peraturan PSBB di Indonesia Raharjo, Mugi; Putra, Jordy Lasmana; Sandi, Tommi Alfian Armawan; Napiah, Musriatun
Paradigma - Jurnal Komputer dan Informatika Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 Agus Subekti Akbar Fariq Mulia Alda Zevana Putri Widodo Alengka, Son Gohan Amin Nur Rais Andriansah, Andriansah Atiyah Aldawiyah Bayhaqy, Achmad Chandra Kesuma Denis Chandra Prabowo Destriana, Rachmat Dirgahayu Erri Dwi Krisnandi Dwiza Riana Eni Heni Hermaliani Eni Heni Hermaliani, Eni Heni Esron Rikardo Nainggolan Esron Rikardo Nainggolan Evita Fitri Fachrurozi, Ahmad Fajar Shidiq Fariq Mulia, Akbar Fatiha, Zulfati Dinul Febri Ainun Jariyah Fikri Ismaya Findi Ayu Sariasih Firmansyah Firmansyah Firmansyah Firmansyah Fitra Septia Nugraha Fitri, Evita Frieyadie Gata, Windu Hadianto, Nur Hafifah Bella Novitasari Hafifah Bella Novitasari Hafifah Bella Novitasari Hani Harafani Hengki Rusdianto I Gusti Bagus Arya Pradnja Paramitha Imron Imron Indra Saputra Inggit Dessy Susanti Juanuari, Juanuari Khamdun Khamdun Khuluq, Anjahul Krisnandi, Dwi Laela Kurniawati lazuardi, sandy ibrahim Leksono, Ilham Nur Luthfi Indriyani M. Iqbal Alifudin Mahdi Abdullah Mahmud Mahmud Manzis, Ilham Marwan Marwan Miharja, Jaja Mufid Junaedi Mugi Raharjo Mugi Raharjo Mugi Raharjo Mugi Raharjo Muhamad Hasan Muhammad Rizqi Saputra Musriatun Napiah Mustofa Mustofa Mustofa Mustofa Musyaffa, Abdurrozzaq Negoro, Alexander Rio Adi Ngara, Simson Mali Nila Hardi Novitasari, Hafifah Bella Nurul Arifin Oky Kurniawan Prasetyo, Rizal Rachmat Adi Purnama Rachmawati Darma Astuti Rachmawati Darma Astuti Raharjo, Mugi Ridwan ridwan Ridwan, Ridwan Rino Indra Muhammad Rino Indra Muhammad1 Salwa Saumi Sandro Arnesto Sidik Sidik Sidik Sri Rahayu Sri Watmah Sriyadi Sriyadi Sujiliani Heristian Susafa'ati Susafa'ati Susafa’ati, Susafa’ati Suwanda Aditya Saputra Syahla, Haura Syarah Seimahuira Tika Adilah M Tommi Alfian Armawan Sandi Tyas Setiyorini Tyas Setiyorini Tyas Setyorini Ummu Radhiyah Ummu Radiyah Virda Mega Ayu Waeisul Bismi Wahyutama Fitri Hidayat Warjiyono Warjiyono Windu Gata Windu Gata Windu Gata Windu Gata WITRIANA ENDAH PANGESTI Yeni Angraini Zulfati Dinul Fatiha