Implementasi Metode Naive Bayes Classifier Terhadap Klasifikasi Topik Kemacetan Lalu Lintas Indonesia Melalui Tweet
Abstract
Keywords
Full Text:
PDFReferences
W. Yulita, E. Dwi Nugroho, and M. Habib Algifari, “Analisis Sentimen Terhadap Opini Masyarakat Tentang Vaksin Covid-19 Menggunakan Algoritma Naïve Bayes Classifier,†JDMSI, vol. 2, no. 2, pp. 1–9, 2021.
Akbar Nugroho, “Jumlah Kendaraan Januari 2023: Lebih Setengah Populasi Warga Indonesia Baca artikel CNN Indonesia,†CNN Indonesia.
I. Iwandini, A. Triayudi, and G. Soepriyono, “Analisa Sentimen Pengguna Transportasi Jakarta Terhadap Transjakarta Menggunakan Metode Naives Bayes dan K-Nearest Neighbor,†Journal of Information System Research (JOSH), vol. 4, no. 2, pp. 543–550, Jan. 2023, doi: 10.47065/josh.v4i2.2937.
Monavia Ayu Rizaty, “Pengguna Twitter di Indonesia Capai 18,45 Juta pada 2022,†https://dataindonesia.id/internet/detail/pengguna-twitter-di-indonesia-capai-1845-juta-pada-2022.
J. J. Pangaribuan and F. Ferawaty, “Prediction analysis of student interest in design learning using Naïve Bayes method,†SinkrOn, vol. 5, no. 2, pp. 208–212, Apr. 2021, doi: 10.33395/sinkron.v5i2.10726.
S. Chen, G. I. Webb, L. Liu, and X. Ma, “A novel selective naïve Bayes algorithm,†Knowl Based Syst, vol. 192, p. 105361, Mar. 2020, doi: 10.1016/j.knosys.2019.105361.
L. M. Sinaga, S. Sawaluddin, and S. Suwilo, “Analysis of classification and Naïve Bayes algorithm k-nearest neighbor in data mining,†IOP Conf Ser Mater Sci Eng, vol. 725, no. 1, p. 012106, Jan. 2020, doi: 10.1088/1757-899X/725/1/012106.
I. Aminudin and D. Anggraini, “ANALISIS PERINGKAT TOP BRAND OJEK ONLINE MENGGUNAKAN JEJARING SOSIAL PERCAKAPAN TWITTER,†Jurnal Ilmiah Informatika Komputer, vol. 24, no. 2, pp. 88–104, Aug. 2019, doi: 10.35760/ik.2019.v24i2.2365.
Divisi Redaksi, “Dampak Kemacetan Lalu Lintas Meresahkan Masyarakat,†http://biner.fti.unand.ac.id/dampak-kemacetan-lalu-lintas-meresahkan-masyarakat/.
A. Syakir and F. N. Hasan, “Analisis Sentimen Masyarakat Terhadap Perilaku Korupsi Pejabat Pemerintah Berdasarkan Tweet Menggunakan Naive Bayes Classifier,†vol. 7, pp. 1796–1805, 2023, doi: 10.30865/mib.v7i4.6648.
G. K. Pati and E. Umar, “Analisis Sentimen Komentar Pengunjung Terhadap Tempat Wisata Danau Weekuri Menggunakan Metode Naive Bayes Classifier Dan K-Nearest Neighbor,†JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 6, no. 4, p. 2309, Oct. 2022, doi: 10.30865/mib.v6i4.4635.
O. P. Barus, Romindo Romindo, and Jefri Junifer Pangaribuan, “Classification of Hearing Loss Degrees with Naive Bayes Algorithm,†Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 7, no. 4, pp. 751–757, Aug. 2023, doi: 10.29207/resti.v7i4.4683.
O. P. Barus, K. Lauwren, J. J. Pangaribuan, and R. Romindo, “Implementation of the Naive Bayes Algorithm to Predict the Safety of Heart Failure Patients,†Conference Series, vol. 4, no. 1, pp. 172–177, Dec. 2023, doi: 10.34306/conferenceseries.v4i1.651.
Y. I. Kurniawan, T. Cahyono, Nofiyati, E. Maryanto, A. Fadli, and N. R. Indraswari, “Preprocessing Using Correlation Based Features Selection on Naive Bayes Classification,†in IOP Conference Series: Materials Science and Engineering, Dec. 2020, p. 012012. doi: 10.1088/1757-899X/982/1/012012.
Y. Huang and L. Li, “Naive Bayes classification algorithm based on small sample set,†in 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE, Sep. 2011, pp. 34–39. doi: 10.1109/CCIS.2011.6045027.
Riza Adrianti Supono and Muhammad Azis Suprayogi, “Perbandingan Metode TF-ABS dan TF-IDF Pada Klasifikasi Teks Helpdesk Menggunakan K-Nearest Neighbor,†Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 5, no. 5, pp. 911–918, Oct. 2021, doi: 10.29207/resti.v5i5.3403.
S. Rabbani, D. Safitri, N. Rahmadhani, A. A. F. Sani, and M. K. Anam, “Perbandingan Evaluasi Kernel SVM untuk Klasifikasi Sentimen dalam Analisis Kenaikan Harga BBM,†MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 3, no. 2, pp. 153–160, Oct. 2023, doi: 10.57152/malcom.v3i2.897.
S. Sintia, S. Defit, and G. W. Nurcahyo, “Product Codefication Accuracy With Cosine Similarity And Weighted Term Frequency And Inverse Document Frequency (TF-IDF),†Journal of Applied Engineering and Technological Science (JAETS), vol. 2, no. 2, pp. 62–69, May 2021, doi: 10.37385/jaets.v2i2.210.
M. I. Alfarizi, L. Syafaah, and M. Lestandy, “Emotional Text Classification Using TF-IDF (Term Frequency-Inverse Document Frequency) And LSTM (Long Short-Term Memory),†JUITA : Jurnal Informatika, vol. 10, no. 2, p. 225, Nov. 2022, doi: 10.30595/juita.v10i2.13262.
D. Soria, J. M. Garibaldi, F. Ambrogi, E. M. Biganzoli, and I. O. Ellis, “A ‘non-parametric’ version of the naive Bayes classifier,†Knowl Based Syst, vol. 24, no. 6, pp. 775–784, Aug. 2011, doi: 10.1016/j.knosys.2011.02.014.
DOI: https://doi.org/10.30865/mib.v8i2.7470
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 JURNAL MEDIA INFORMATIKA BUDIDARMA

This work is licensed under a Creative Commons Attribution 4.0 International License.
JURNAL MEDIA INFORMATIKA BUDIDARMA
Universitas Budi Darma
Secretariat: Sisingamangaraja No. 338 Telp 061-7875998
Email: mib.stmikbd@gmail.com

This work is licensed under a Creative Commons Attribution 4.0 International License.