Penggunaan Metode Naïve Bayes untuk Memprediksi Tingkat Kemenangan pada Game Mobile Legends

Penulis

  • Ahmad Thoriq Susilo Universitas Pamulang
  • Hendra Setiawan Universitas Pamulang
  • Rizal Aji Saputro Universitas Pamulang
  • Tirto Purwadi Universitas Pamulang
  • Aries Saifudin Universitas Pamulang http://orcid.org/0000-0002-3882-633X

Kata Kunci:

Game, Naïve Bayes, Prediction, Winning

Abstrak

The research conducted aims to predict the win or loss of a game in the Mobile Legend game. Because victory will greatly affect the level of play that is owned in the Mobile Legend game, and victory is also influenced by the player's ability to play the game and mastery of a game character that is used. The results of the study will show the results of the classification of the success rate of the method we use in predicting the success or victory of the game in the online game Mobile Legend which can be called the most popular game today. Many play this online game even from small children to adults. This game is very popular at this time, but there are still many who play while playing this game so that it greatly affects performance when doing battle games which results in many rankings dropping to the herro who doesn't move due to lag cellular network.

Referensi

As’ad, B. (2016). Prediksi Keputusan Menggunakan Metode Klasifikasi Naïve Bayes, One-R, dan Decision Tree. Jurnal Penelitian Komunikasi dan Opini Publik, 1-10.

Atmaja, & Sandy, E. H. (2020). Prediksi Kemenangan eSport DOTA 2 Berdasarkan Data Pertandingan. Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC), 1-8.

Kurniawan, N. B., & Andono, P. N. (2017). Prediksi Kemenangan Bot Dota 2 Menggunakan Metode Naive Bayes. 1-10.

Pratiwi, R. W., & Nugroho, Y. S. (2016). Prediksi Rating Film Menggunakan Metode Naïve Bayes. Jurnal Teknik Elektro, 1- 4.

Putro, A. C. (2018). Sistem Prediksi Kemenangan Tim pada Game Mobile Legends dengan Metode Naive Bayes. 1-11.

Rifai, M. F., Jatnika, H., & Valentino, B. (2019). Penerapan Algoritma Naïve Bayes Pada Sistem Prediksi Tingkat Kelulusan Peserta Sertifikasi Microsoft Office Specialist (MOS). PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika), 12(2), 131-144. doi:10.33322/petir.v12i2.471

Rifqo, M. H., & Wijaya, A. (2017). Implementasi Algoritma Naive Bayes dalam Penentuan Pemberian Kredit. Jurnal Pseudocode, 1-9.

Sabransyah, M., Nasution, Y. N., & Amijaya, F. D. (2017). Aplikasi Metode Naive Bayes dalam Prediksi Risiko Penyakit Jantung. Jurnal EKSPONENSIAL, 8(2), 111-117.

Syarli, S. (2016). Metode Naive Bayes Untuk Prediksi Kelulusan (Studi Kasus: Data Mahasiswa Baru Perguruan Tinggi). Jurnal Ilmiah Ilmu Komputer, 2(1), 22-26.

Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 4 No. 1 Januari 2021

Unduhan

Diterbitkan

2021-01-31

Cara Mengutip

Susilo, A. T., Setiawan, H., Saputro, R. A., Purwadi, T., & Saifudin, A. (2021). Penggunaan Metode Naïve Bayes untuk Memprediksi Tingkat Kemenangan pada Game Mobile Legends. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 4(1), 46–51. Diambil dari https://openjournal.unpam.ac.id/index.php/JTSI/article/view/7807

Terbitan

Vol 4 No 1 (2021): Jurnal Teknologi Sistem Informasi dan Aplikasi

Bagian

Article

Lisensi

Hak Cipta (c) 2021 Ahmad Thoriq Susilo, Hendra Setiawan, Rizal Aji Saputro, Tirto Purwadi, Aries Saifudin

Creative Commons License

Artikel ini berlisensi Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Jurnal Teknologi Sistem Informasi dan Aplikasi have CC BY-NC or an equivalent license as the optimal license for the publication, distribution, use, and reuse of scholarly work.

In developing strategy and setting priorities, Jurnal Teknologi Sistem Informasi dan Aplikasi recognize that free access is better than priced access, libre access is better than free access, and libre under CC BY-NC or the equivalent is better than libre under more restrictive open licenses. We should achieve what we can when we can. We should not delay achieving free in order to achieve libre, and we should not stop with free when we can achieve libre.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License

YOU ARE FREE TO:

  • Adapt - remix, transform, and build upon the material for any purpose, even commercially.
  • The licensor cannot revoke these freedoms as long as you follow the license terms