Komparasi Algoritma Suport Vector Machine Dan Naive Bayes Dalam Analisis Sentimen Kebijakan PPKM
Abstract
Corona virus is an infectious disease that attacks human respiration. This virus originated in China, more precisely in Wuhan City, Hubei Province. early March 2020 this virus entered Indonesia and has spread throughout the world. In Indonesia there are 6,721,095 people exposed to Covid-19 and 160,648 people have died. This makes the government quickly make policies, in a policy there will be pros and cons in the community, so that sentiment analysis is needed to find out the response of the community regarding policies issued by the government, in this case the policy on the Implementation of PPKM.
Keywords: Suport Vector Machine algorithm and Naïve Bayes algorithm; Rapid Miner;Full Text:
PDFReferences
Cahya Putri Buani, Duwi. 2021. “Penerapan Algoritma Naïve Bayes Dengan Seleksi Fitur Algoritma Genetika Untuk Prediksi Gagal Jantung.” EVOLUSI : Jurnal Sains dan Manajemen 9(2): 43–48.
Derisma, D. 2020. “Perbandingan Kinerja Algoritma Untuk Prediksi Penyakit Jantung Dengan Teknik Data Mining.” Journal of Applied Informatics and Computing 4(1): 84–88.
Destiani, Dinda Karlia et al. 2018. “Klasifikasi Sinyal Ecgagal Jantung Menggunakan Wavelet Dan Jst Propagasi Balik Dengan Modifikasi Gradien Konjugat Polak-Ribiere Heart Failure Ecg Signal Classification Using Wavelet and Ann Backpropagation With Polak-Ribiere Conjugate Gradient.” 5(1): 1811–18.
Dharmawan, Weiskhy Steven. 2021. “I N F O R M a T I K a Dalam Prediksi Penyakit Jantung.” Jurnal Informatika, Manajemen dan Komputer 13(2): 31–41.
Effendi, Ferry, and Arief Muhamad. 2021. “Perbandingan Efektivitas Kombinasi Carvedilol – Ramipril Dan Bisoprolol – Candesartan Pada Pasien Gagal Jantung Kongestif Di Rsud Ciawi.” Jurnal Farmamedika (Pharmamedica Journal) 6(1): 24–28.
Hasanah, Quswatun, Hardian Oktavianto, and Yeni Dwi Rahayu. 2022. “Analisis Algoritma Gaussian Naive Bayes Terhadap Klasifikasi Data Pasien Penderita Gagal Jantung.” Jurnal Smart Teknologi 3(4): 382–89.
hidayah nur umi, and dkk. 2021. “Hidayah Nur Umi Dkk.” Nalisis Metode K Nearest Neighbor Terhadap Klasifikasi Data Pasien Penderita Gagal Jantung 28: 145–58. http://www.riss.kr/link?id=A99932365.
Informatika, Jurnal et al. 2022. “Penerapan Algoritma Naïve Bayes Untuk Mengetahui Pasien Penyakit Gagal Jantung Jurnal Informatika Dan Rekayasa Komputer ( JAKAKOM ).” 2(September).
Munandar, Tb Ai, and Agus Qomaruddin Munir. 2022. “Implementasi K-Nearest Neighbor Untuk Prototype Sistem Pakar Identifikasi Dini Penyakit Jantung.” Respati 17(2): 44.
Nawawi, Hendri Mahmud, Jajang Jaya Purnama, and Agung Baitul Hikmah. 2019. “Komparasi Algoritma Neural Network Dan Naïve Bayes Untuk Memprediksi Penyakit Jantung.” Jurnal Pilar Nusa Mandiri 15(2): 189–94.
Nurlia, Elin, and Ultach Enri. 2021. “Penerapan Fitur Seleksi Forward Selection Untuk Menentukan Kematian Akibat Gagal Jantung Menggunakan Algoritma C4.5.” Jurnal Teknik Informatika Musirawas) Elin Nurlia 6(1): 42.
Putra, Pandito Dewa, and Dian Palupi Rini. 2019. “Prediksi Penyakit Jantung Dengan Algoritma Klasifikasi.” Prosiding Annual Research Seminar 2019 5(1): 978–79.
Putri, Trisca Anggraini, and Nurul Huda. 2020. “Analisis Dan Prediksi Penyakit Jantung Menggunakan Algoritma K-Means Clustering Pada Rumah Sakit Umum.” Bina Darma Conference on Computer Science 4(41): 197–206.
Siahaan, Rahma Aulia, Marnis Nasution, and Mila Nirmala Sari Hasibuan. 2021. “Model Data Mining Untuk Perancangan Aplikasi Diagnostik Inflammatory Liver Disease.” Jurnal Teknik Informatika UNIKA Santo Thomas 06: 145–53.
Subarkah, Pungkas, Wenti Risma, and Reza Aditya. 2022. “Comparison of Correlated Algorithm Accuracy Naive Bayes Classifier and Naive Bayes Classifier for Heart Failure Classification.” 14(2): 120–25.
DOI: https://doi.org/10.30873/simada.v5i2.3427
Refbacks
- There are currently no refbacks.
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Diatur by: Departemen Sistem Informasi IIB Darmajaya
Diterbitkan Oleh: IIB Darmajaya
Alamat: Jl. Z.A. Pagar Alam No. 93 Gedong Meneng, Bandar Lampung Lampung
Website: jurnal.darmajaya.ac.id, E-mail: simada@darmajaya.ac.id
View Jurnal SIMADA StatCounter
Jurnal SIMADA is licensed under a Creative Commons Attribution 4.0 International License.