Muhammad Ryan Fahlevi, . (2024) PREDIKSI KEMENANGAN GAME MOBILE LEGENDS BERDASARKAN DRAFT PICK DENGAN MENGGUNAKAN METODE ALGORITMA NAIVE BAYES. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Mobile Legends is a game made by Moonton which is a MOBA (Multiplayer Online Battle Arena) and is usually played via Android and iOS smartphone media. The popularity of this game makes it officially contested at local, national and international levels. This study aims to calculate the predictions of winning the legendary mobile game based on a draft pick using the Naïve Bayes algorithm and apply it to matches so that victory can be achieved. The use of parameters to calculate the probability of winning is calculated using the bayes formula where each variable represents the total win or loss, the total winrate of the specialty heroes in one team, the type of hero role used, and whether or not there is a hero counter from the opposing team in the allied team. The test results obtained the probability of a winning match is 84% while the probability of a losing match is 16%. The results of this research are expected to help Mobile Legends players to choose the right line of heroes in their team and help gamers who want to become pro Mobile Legends players.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No Panggil : 1910511131] [Pembimbing : Jayanta] [Penguji 1 : Bambang Saras Yulistiawan] [Penguji 2 : Yuni Widiastiwi] |
| Uncontrolled Keywords: | Mobile legends, Naive bayes, Prediction |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Muhammad Ryan Fahlevi |
| Date Deposited: | 25 Mar 2024 01:47 |
| Last Modified: | 25 Mar 2024 01:47 |
| URI: | http://repository.upnvj.ac.id/id/eprint/29190 |
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