Analisis Dan Prediksi Hasil Pertandingan Dota 2 Menggunakan Fuzzy Tsukamoto
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Muhammad Arief Adidharma Tan
*
STMIK Widya Cipta Dharma,
Indonesia
- Yulindawati STMIK Widya Cipta Dharma, Indonesia
- Muhammad Fahmi STMIK Widya Cipta Dharma, Indonesia
Abstract
Predicting the outcome of a Dota 2 match is a complex problem because it is influenced by many dynamic variables that change at each stage of the game. This study aims to analyze and predict the probability of winning a Dota 2 match using the Fuzzy Tsukamoto method based on three main variables: Hero Win Rate, Number of Kills, and Tower Destroyed. The fuzzy model was constructed using triangular and trapezoidal membership functions, with variable weights adjusted for the early game, mid game, and late game.
Test results show that in the early game, the Hero Win Rate variable has the most dominant influence on the probability of winning, with a weight of 0.7. In the mid game, the number of kills and tower destruction begin to have a significant impact, while in the late game, towers and kills become the primary determinants of the probability of winning. The proposed system is able to generate different percentages of the probability of winning at each stage of the game and logically reflect the dynamics of the Dota 2 game.
Based on these results, the Fuzzy Tsukamoto method is considered capable of handling uncertainty in Dota 2 match prediction and provides more flexible results than deterministic approaches, although it still depends on the quality of the dataset and the fuzzy rules used.
References
Y. G. Purba and D. Avianto, “Implementasi Logika Fuzzy Tsukamoto untuk Optimasi Jumlah Produksi Es Batu Kemasan,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 5, no. 1, pp. 119–129, Dec. 2024, doi: 10.57152/malcom.v5i1.1736.
R. Basra and I. Permana, “Analisa Dampak Game Mobile Legends Terhadap Prestasi Akademik Mahasiswa Menggunakan Metode Fuzzy Logic”.
“Perubahan Perilaku Agen Cerdas menggunakan Metode Fuzzy State Machine pada Game Bank Sampah,” Jurnal Ilmiah Komputasi, vol. 22, no. 3, Oct. 2023, doi: 10.32409/jikstik.22.3.3390.
R. Afria, ; Gesang, and T. Wahyudi, “Analisis Bentuk Pemendekan Kata dalam Permainan DoTA 2.”
C. Hao Ke et al., “DOTA 2 match prediction through deep learning team fight models.” [Online]. Available: https://dota2.fandom.com/wiki/Map
M. R. Aulia, R. Lutfi, H. Maulana, T. Ramadhan, and W. S. J. Saputra, “PENERAPAN KECERDASAN BUATAN DALAM PEMILIHAN ARTIFACT PADA GAME GENSHIN IMPACT DENGAN LOGIKA FUZZY TSUKAMOTO,” Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas AL Asyariah Mandar, vol. 8, no. 2, 2022, [Online]. Available: http://ejournal.fikom-unasman.ac.id
J. Y. Marpaung, G. L. Ginting, and N. Silalahi, “Penerapan Metode Fuzzy Tsukamoto Dalam Penentuan Harga Laptop Bekas,” Technology and Science (BITS, vol. 2, no. 2, pp. 115–126, 2020.
I. Farhandhany, G. Surya Permana, M. S. Noverick, M. Dzulkifli, H. Ramadhan, and P. Rosyani, “Analisis Perbandingan Metode Fuzzy Mamdani, Sugeno dan Tsukamoto Dalam Menentukan Harga Smartphone Bekas.” [Online]. Available: https://jurnalmahasiswa.com/index.php/biikma
A. Mardiana, D. Zalilludin, and D. Fitriani, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KELUARGA MISKIN MENGGUNAKAN LOGIKA FUZZY TSUKAMOTO”.
D. Putri and P. Astuti, “PENERAPAN METODE FUZZY TSUKAMOTO DAN FUZZY SUGENO DALAM PENENTUAN HARGA JUAL SEPEDA MOTOR,” UNNES Journal of Mathematics, vol. 9, no. 2, 2020, [Online]. Available: http://journal.unnes.ac.id/sju/index.php/ujm
E. W. Hary Candana, I. Gede, A. Gunadi, and D. G. H. Divayana, “PERBANDINGAN FUZZY TSUKAMOTO, MAMDANI DAN SUGENO DALAM PENENTUAN HARI BAIK PERNIKAHAN BERDASARKAN WARIGA MENGGUNAKAN CONFUSION MATRIX,” Jurnal Ilmu Komputer Indonesia (JIK), vol. 6, no. 2, 2021.
R. Akbar, E. Itje Sela, and M. Informatika UIN Sunan Kalijaga Yogyakarta, “ANALISIS PERBANDINGAN FUZZY TSUKAMOTO DAN SUGENO DALAM MENENTUKAN JUMLAH PRODUKSI KAIN TENUN MENGGUNAKAN BASE RULE DECISION TREE COMPARATIVE ANALYSIS OF FUZZY TSUKAMOTO AND SUGENO IN DETERMINING THE AMOUNT OF WEAVING FABRIC PRODUCTION USING THE DECISION TREE BASE RULE,” vol. 7, no. 1, pp. 171–180, 2020, doi: 10.25126/jtiik.202071751.
N. W. Nurfiah, A. B. Setiawan, and I. N. Farida, “Penerapan Metode Fuzzy Tsukamoto Pada Sistem Pemesanan Travel.”
S. Susanti and G. R. Nawangsit, “PENERAPAN METODE FUZZY TSUKAMOTO PADA SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMBERIAN BEASISWA,” JIKA (Jurnal Informatika), vol. 7, no. 3, p. 248, Aug. 2023, doi: 10.31000/jika.v7i3.7626.
W. Ilham and N. Fajri, “PENENTUAN JUMLAH PRODUKSI TAHU DENGAN MENGGUNAKAN METODE FUZZY TSUKAMOTO PADA UKM ABADI BERBASIS WEB,” 2020.
R. Ilham and H. Fryonanda, “Perancangan Prediksi Produksi Teh Menggunakan Metode Fuzzy Tsukamoto Berbasis Web,” 2023. [Online]. Available: http://jurnal-itsi.org
M. R. Aulia, R. Lutfi, H. Maulana, T. Ramadhan, and W. S. J. Saputra, “PENERAPAN KECERDASAN BUATAN DALAM PEMILIHAN ARTIFACT PADA GAME GENSHIN IMPACT DENGAN LOGIKA FUZZY TSUKAMOTO,” Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas AL Asyariah Mandar, vol. 8, no. 2, 2022, [Online]. Available: http://ejournal.fikom-unasman.ac.id
K. Reya Wisinggya, H. Haryanto, E. Mulyanto, and E. Dolphina, “TINGKAT KESULITAN DINAMIS MENGGUNAKAN LOGIKA FUZZY PADA GAME MUSIK TRADISIONAL JAWA TENGAH,” Online, 2021.
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