Analisis Sentimen Tingkat Perbandingan Efisen antara Kendaraan BBM denganKendaraan Listrik Menggunakan Algoritma Naives Bayes

Authors

  • Arvin Rafialdo Universitas Muhammadiyah Prof. Dr. Hamka
  • Achmad Ramadhan Universitas Muhammadiyah Prof. Dr. Hamka
  • Ananda Prasta Warasati Janah Universitas Muhammadiyah Prof. Dr. Hamka
  • Azhar Haikal Anwar Universitas Muhammadiyah Prof. Dr. Hamka
  • Firman Noor Hasan Universitas Muhammadiyah Prof. Dr. Hamka

Keywords:

personal computer, automation, future trends, expert systems

Abstract

The most widely used energy sources today are fossil fuels, one of which is oil, especially Indonesia isstill very dependent on fossil energy, almost 95% of Indonesia's energy needs are still supplied by fossils.Along with the times, many studies are trying to find alternative energy sources, one of which is electric vehicles, as an alternative to the use of fossil energy. Therefore, researchers classify public sentiment and understanding of fuel-oil and electric vehicles using the Naïve Bayes method to compare vehicle efficiency levels. Based on the results of the study, it was found that oil-fueled vehicles with electricity using the Naïve Bayes method yielded 50 results for each data. Fuel-fueled vehicles give positive and negative results, namely 30 and 20. Meanwhile, electric vehicles give positive and negative results of 43 and 7. It can be concluded that public sentiment towards electric vehicles is more efficient than oilfueledvehicles.

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Author Biographies

Arvin Rafialdo, Universitas Muhammadiyah Prof. Dr. Hamka

Fakultas Teknologi Industri dan Informatika

Teknik Informatika

Achmad Ramadhan, Universitas Muhammadiyah Prof. Dr. Hamka

Fakultas Teknologi Industri dan Informatika

Teknik Informatika

Ananda Prasta Warasati Janah, Universitas Muhammadiyah Prof. Dr. Hamka

Fakultas Teknologi Industri dan Informatika

Teknik Informatika

Azhar Haikal Anwar, Universitas Muhammadiyah Prof. Dr. Hamka

Fakultas Teknologi Industri dan Informatika

Teknik Informatika

Firman Noor Hasan, Universitas Muhammadiyah Prof. Dr. Hamka

Fakultas Teknologi Industri dan Informatika

Teknik Informatika

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Published

2022-12-23

How to Cite

Rafialdo, A., Ramadhan, A., Warasati Janah, A. P., Anwar, A. H., & Hasan, F. N. (2022). Analisis Sentimen Tingkat Perbandingan Efisen antara Kendaraan BBM denganKendaraan Listrik Menggunakan Algoritma Naives Bayes. Prosiding Seminar Nasional Teknoka, 7, 114–123. Retrieved from https://journal.uhamka.ac.id/index.php/teknoka/article/view/11237

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