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All Journal Techno.Com: Jurnal Teknologi Informasi G-Tech : Jurnal Teknologi Terapan
Bondan Wahyu Pamekas
Universitas Duta Bangsa Surakarta, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Implementasi Metode Profile Matching Untuk Menentukan Posisi Ideal Pemain Sepakbola Dwi Kurniawan Saputro; Nurchim Nurchim; Bondan Wahyu Pamekas
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v8i4.5052

Abstract

Positioning in football is a factor that must be considered, because a game can run according to the tactics that have been made by the coach if the player's position is in accordance with his abilities and character.But in determining the position of the player requires sharp instincts and structured training so that the ideal position for each player is found. This research aims to provide assistance to coaches to determine the ideal position of players by creating asystem that can strengthen decisions and increase confidence in placing players in certain positions. This system uses the Profile Matching method, which uses the ideal value for each criterion and also the individual value of each player as a comparison.This research produces a system that shows the ideal position of the player with test results from 15 players resulting in a percentage of 80% match between the initial position and the recommended position.
Sistem Pendukung Keputusan Rekomendasi Lineup Magic Chess: Go Go Berbasis Entropy-TOPSIS Berdasarkan Commander Pemain, Commander Lawan, dan Rank Syafrillah Astro Heriadi; Bondan Wahyu Pamekas; Moh. Muhtarom
Techno.Com Vol. 25 No. 3 (2026): August 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i3.16765

Abstract

Penelitian ini mengembangkan sistem pendukung keputusan rekomendasi lineup Magic Chess: Go Go berbasis Entropy-TOPSIS, minimum support, dan Laplace smoothing. Filtering kontekstual dan fallback bertingkat hanya digunakan untuk membentuk kandidat, sedangkan alternatif dikelompokkan berdasarkan sinergi utama dan hero core. Alternatif dengan dukungan kurang dari tiga pertandingan dikeluarkan dari peringkat utama, sementara win rate dan top 4 rate dikoreksi menggunakan prior Beta(1,1) untuk mengurangi nilai ekstrem pada sampel kecil. Pada input Guinevere melawan Nana di rank Mythical Honor, cakupan exact tidak menghasilkan data, sedangkan cakupan commander pemain plus rank menghasilkan 8 pertandingan yang membentuk 7 alternatif, tetapi tidak satu pun memenuhi minimum support. Sistem kemudian memilih fallback berdasarkan rank yang memuat 420 pertandingan, 62 alternatif memenuhi syarat, dan 61 alternatif dikeluarkan. Tiga rekomendasi teratas adalah 4 Bruiser dengan Belerick (0,667866), 4 Stargazer dengan Luo Yi (0,640921), dan 4 Heartbond dengan Fanny (0,599140). UAT dilaksanakan terhadap 23 responden pada 25-31 Juli 2026 dan menghasilkan rata-rata penerimaan 84,42% serta keberhasilan tugas 95,65%. Namun, relevansi terhadap commander dan matchup masih lebih rendah karena seluruh kasus uji mencapai fallback berdasarkan rank. Metode revisi mencegah alternatif satu pertandingan mendominasi peringkat dan menampilkan batas kekuatan bukti setiap rekomendasi secara transparan.   Kata kunci - TOPSIS, sistem rekomendasi, Magic Chess: Go Go, lineup, sistem pendukung keputusan.
Co-Authors Dwi Kurniawan Saputro Moh. Muhtarom Nurchim Nurchim Syafrillah Astro Heriadi