Prediction of DOTA 2 Match Result by Using Analytical Hierarchy Process Method

  • Gede Adi Aryanata Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • Putu Suta Adya Dharma Rahadi Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • Yanu Prapto Sudarmojo Department of Electrical and Computer Engineering, Udayana University

Abstract

This research discuss about how to predict a match result by using data mining as the foundation to make a conclusion. In this research, Analytical Hierarchy Process (AHP) is used as a main data mining method for making a prediction. AHP works by using pre-existing data events as training data to obtain predictions of future data results. This research uses four parameters to predict the result of international Dota 2 match. Those parameters are experience per minutes (XPM) and gold per minutes (GPM), matchmaking ratio (MMR) point, 3 head to head matches result, and the last 10 results matches. In its implementation, the four parameters are given different rules and priority levels to support the performance of the AHP method. The result of this study has a satisfactory level of accuracy regarding the victory estimation of the match.

Downloads

Download data is not yet available.
Published
2017-09-23
How to Cite
ARYANATA, Gede Adi; RAHADI, Putu Suta Adya Dharma; SUDARMOJO, Yanu Prapto. Prediction of DOTA 2 Match Result by Using Analytical Hierarchy Process Method. International Journal of Engineering and Emerging Technology, [S.l.], v. 2, n. 1, p. 22-25, sep. 2017. ISSN 2579-5988. Available at: <https://ojs.unud.ac.id/index.php/ijeet/article/view/34440>. Date accessed: 20 oct. 2021.