Sentimen Analisis Mengenai Polusi Udara Menggunakan Algoritma Support Vector Machine dan Random Forest
Abstract
Keywords
Full Text:
PDFReferences
BBC Indonesia, “Indonesia masuk ‘enam negara paling berkontribusi terhadap polusi udara global’, warga akan gugat pemerintah dan industri,” https://www.bbc.com/indonesia/articles/c72enp76622o.
CNBC Indonesia, “Bukan PLTU, Ternyata Ini Penyebab Utama Polusi di Jakarta,” https://www.cnbcindonesia.com/news/20230903164954-4-468635/bukan-pltu-ternyata-ini-penyebab-utama-polusi-di-jakarta#:~:text=Siti%20menjelaskan%20penyebab%20pencemaran%20kualitas,juta%20di%20antaranya%20sepeda%20motor.
CNBC Indonesia, “Polusi Makin Parah! Rakyat Menderita, Solusi Malah Amburadul,” https://www.cnbcindonesia.com/research/20230828123040-128-466679/polusi-makin-parah-rakyat-menderita-solusi-malah-amburadul.
N. Hendrastuty, A. Rahman Isnain, and A. Yanti Rahmadhani, “Analisis Sentimen Masyarakat Terhadap Program Kartu Prakerja Pada Twitter Dengan Metode Support Vector Machine,” vol. 6, no. 3, 2021, [Online]. Available: http://situs.com
A. P. Giovani, A. Ardiansyah, T. Haryanti, L. Kurniawati, and W. Gata, “ANALISIS SENTIMEN APLIKASI RUANG GURU DI TWITTER MENGGUNAKAN ALGORITMA KLASIFIKASI,” Jurnal Teknoinfo, vol. 14, no. 2, p. 115, Jul. 2020, doi: 10.33365/jti.v14i2.679.
G. A. Buntoro, “Analisis Sentimen Calon Gubernur DKI Jakarta 2017 Di Twitter,” 2017. [Online]. Available: https://t.co/jrvaMsgBdH
A. Fathan Hidayatullah, A. Sn, J. Teknik, I. Fakultas, and T. Industri, “ISSN: 1979-2328 UPN "Veteran,” 2014. [Online]. Available: http://www.situs.com
M. Rangga, A. Nasution, and M. Hayaty, “Perbandingan Akurasi dan Waktu Proses Algoritma K-NN dan SVM dalam Analisis Sentimen Twitter,” JURNAL INFORMATIKA, vol. 6, no. 2, pp. 212–218, 2019, [Online]. Available: http://ejournal.bsi.ac.id/ejurnal/index.php/ji
M. I. Fikri, T. S. Sabrila, Y. Azhar, and U. M. Malang, “Perbandingan Metode Naïve Bayes dan Support Vector Machine pada Analisis Sentimen Twitter”.
A. Novantirani, M. S. Kania Sabariah, and V. Effendy, “Analisis Sentimen pada Twitter untuk Mengenai Penggunaan Transportasi Umum Darat Dalam Kota dengan Metode Support Vector Machine.”
R. Tineges, A. Triayudi, and I. D. Sholihati, “Analisis Sentimen Terhadap Layanan Indihome Berdasarkan Twitter Dengan Metode Klasifikasi Support Vector Machine (SVM),” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 4, no. 3, p. 650, Jul. 2020, doi: 10.30865/mib.v4i3.2181.
D. Darwis, E. Shintya Pratiwi, A. Ferico, and O. Pasaribu, “PENERAPAN ALGORITMA SVM UNTUK ANALISIS SENTIMEN PADA DATA TWITTER KOMISI PEMBERANTASAN KORUPSI REPUBLIK INDONESIA,” 2020.
N. Dwi Putranti and E. Winarko, “Analisis Sentimen Twitter untuk Teks Berbahasa Indonesia dengan Maximum Entropy dan Support Vector Machine,” IJCCS, vol. 8, no. 1, pp. 91–100, 2014.
Y. Tao, F. Zhang, C. Shi, and Y. Chen, “Social media data-based sentiment analysis of tourists’ air quality perceptions,” Sustainability (Switzerland), vol. 11, no. 18, Sep. 2019, doi: 10.3390/su11185070.
M. R. Huq, A. Ali, and A. Rahman, “Sentiment Analysis on Twitter Data using KNN and SVM,” 2017. [Online]. Available: www.ijacsa.thesai.org
AWC, “What is Sentiment Analysis?,” https://aws.amazon.com/what-is/sentiment-analysis/#:~:text=Sentiment%20analysis%20is%20the%20process,social%20media%20comments%2C%20and%20reviews.
Rohith Gandhi, “Support Vector Machine — Introduction to Machine Learning Algorithms,” https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47.
Sruthi E R and Analytics Vidyha, “Understand Random Forest Algorithms With Examples (Updated 2023),” https://www.analyticsvidhya.com/blog/2021/06/understanding-random-forest/.
Tokenex, “What is Tokenization?,” Tokenex. Accessed: Oct. 24, 2023. [Online]. Available: https://www.tokenex.com/blog/what-is-tokenization/
Alexander S Gillis, “Definition Lemmatization,” 2023. Accessed: Oct. 24, 2023. [Online]. Available: https://www.techtarget.com/searchenterpriseai/definition/lemmatization
DOI: http://dx.doi.org/10.22441/fifo.2023.v15i2.001
Refbacks
- There are currently no refbacks.
Jurnal Ilmiah FIFO
Print ISSN: 2085-4315 | |
Online ISSN: 2502-8332 |
Sekretariat
Fakultas Ilmu Komputer
Universitas Mercu Buana
Jl. Raya Meruya Selatan, Kembangan, Jakarta 11650
Tlp./Fax: +62215871335
http://publikasi.mercubuana.ac.id/index.php/fifo
e-mail:[email protected]
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.