Warfare Simulation:Predicting Battleship Winner Using Random Forest

Naili Suri Intizhami, Ario Yudo Husodo, Wisnu Jatmiko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposed a framework system to analyze and predicts a battleship winner in the combat. The framework system is built by using machine learning methods, namely Random Forest (RF) method. This paper employs 9660 battleship datasets, which divided into 7728 data training and 1932 testing data. The battleship data will send to the server, then here, the battleship winner will be predict by utilized Random Forest. The accuracy will be compared, between the RF with Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). The results show that the simulation based on computer network for a mutual connection and communication is adequate to implement in our warfare simulation. This simulation result can train and help the commander chooses the best battleship to use in warfare, especially in real warfare.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages30-34
Number of pages5
ISBN (Electronic)9781728137957
DOIs
Publication statusPublished - 1 Aug 2019
Event8th IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2019 - Makassar, Indonesia
Duration: 1 Aug 20193 Aug 2019

Publication series

Name2019 IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2019 - Proceedings

Conference

Conference8th IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2019
CountryIndonesia
CityMakassar
Period1/08/193/08/19

Keywords

  • Battleship Winner
  • Computer Networks
  • Machine Learning
  • Random Forest
  • Warfare Simulation

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  • Cite this

    Intizhami, N. S., Husodo, A. Y., & Jatmiko, W. (2019). Warfare Simulation:Predicting Battleship Winner Using Random Forest. In 2019 IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2019 - Proceedings (pp. 30-34). [8844049] (2019 IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMNETSAT.2019.8844049